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...

145 Commits

Author SHA1 Message Date
Kobi Tal
45a9200ff6 Finished Release v2.1.3 2022-11-29 15:17:14 +02:00
Kobi Tal
623f3e7dac releasing 2.1.3 2022-11-29 15:15:57 +02:00
Kobi Tal
070b2c3ff4
Merge pull request #197 from Infinidat/fix_paginate_alias
Fix pagination for models with alias fields
2022-11-29 15:08:45 +02:00
Kobi Tal
d7a26a81bb Fix pagination for models with alias fields 2022-11-29 15:06:44 +02:00
Kobi Tal
09aeddf677 Finished Release v2.1.2 2022-07-19 11:10:47 +03:00
Kobi Tal
2777d3084c Releasing v2.1.2 2022-07-19 11:06:19 +03:00
Kobi Tal
7b15567a62 Bump python version to 3.8.12 2022-07-19 10:59:30 +03:00
Kobi Tal
359809e819 Releasing v2.1.2 2022-07-19 10:56:22 +03:00
Kobi Tal
272729153c Add model to QuerySet to support django-rest-framework 3 2022-07-18 17:55:51 +03:00
Jenkins CI
232a8d29ad Finished Release v2.1.1
* develop:
  Releasing v2.1.1
  fix precedence of ~ operator in Q objects
  ignore non-numeric parts of version string
  Fixes to make the tests pass on ClickHouse v21.9
  Bump urllib3 from 1.25.9 to 1.26.5 in /examples/db_explorer
  Bump jinja2 from 2.11.2 to 2.11.3 in /examples/db_explorer
  Simplified
  Support for adding a column to the beginning of a table
  1. add stddevPop func 2. add stddevSamp func
  changes reverted after rebase
  initializing changes related to string enums for pull request
2021-10-21 14:47:55 +03:00
Kobi Tal
4cbaf5e0fb Releasing v2.1.1 2021-10-21 14:12:46 +03:00
Kobi Tal
17ab9c046b
Merge pull request #169 from Infinidat/dependabot/pip/examples/db_explorer/jinja2-2.11.3
Bump jinja2 from 2.11.2 to 2.11.3 in /examples/db_explorer
2021-10-21 12:27:05 +03:00
Kobi Tal
cb7d7efd93
Merge pull request #172 from Infinidat/dependabot/pip/examples/db_explorer/urllib3-1.26.5
Bump urllib3 from 1.25.9 to 1.26.5 in /examples/db_explorer
2021-10-21 12:26:30 +03:00
Kobi Tal
1ae66f63c3
Merge pull request #164 from behldizh/add-stddev-funcs-develop
Add stddev funcs to F()
2021-10-21 09:39:51 +03:00
Kobi Tal
da591dc649
Merge pull request #167 from meanmail/develop
Support for adding a column to the beginning of a table
2021-10-21 09:39:18 +03:00
Kobi Tal
ed33c09dd7
Merge pull request #183 from mangototango/small_issues
Small fixes
2021-10-21 09:36:30 +03:00
mangototango
3b0aaebe50 fix precedence of ~ operator in Q objects 2021-10-21 05:33:23 +00:00
mangototango
0787efc1cc ignore non-numeric parts of version string 2021-10-21 05:32:53 +00:00
Kobi Tal
76d432b838
Merge pull request #181 from mangototango/ver_21_9
Fixes to make the tests pass on ClickHouse v21.9
2021-10-17 09:55:22 +03:00
mangototango
5abe39ed24 Fixes to make the tests pass on ClickHouse v21.9 2021-10-16 07:47:17 +00:00
dependabot[bot]
0f4547be87
Bump urllib3 from 1.25.9 to 1.26.5 in /examples/db_explorer
Bumps [urllib3](https://github.com/urllib3/urllib3) from 1.25.9 to 1.26.5.
- [Release notes](https://github.com/urllib3/urllib3/releases)
- [Changelog](https://github.com/urllib3/urllib3/blob/main/CHANGES.rst)
- [Commits](https://github.com/urllib3/urllib3/compare/1.25.9...1.26.5)

---
updated-dependencies:
- dependency-name: urllib3
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>
2021-06-02 02:29:29 +00:00
dependabot[bot]
fbf2207690
Bump jinja2 from 2.11.2 to 2.11.3 in /examples/db_explorer
Bumps [jinja2](https://github.com/pallets/jinja) from 2.11.2 to 2.11.3.
- [Release notes](https://github.com/pallets/jinja/releases)
- [Changelog](https://github.com/pallets/jinja/blob/master/CHANGES.rst)
- [Commits](https://github.com/pallets/jinja/compare/2.11.2...2.11.3)

Signed-off-by: dependabot[bot] <support@github.com>
2021-03-20 04:43:18 +00:00
meanmail
6a5889280d
Simplified 2021-03-04 11:28:27 +07:00
meanmail
e14de715f7
Support for adding a column to the beginning of a table 2021-03-03 21:04:54 +07:00
k.peskov
45d807eb02 1. add stddevPop func
2. add stddevSamp func
2021-01-18 22:43:00 +03:00
Alexander Goldberg
7c90c1e4c3
Merge pull request #161 from emakarov/case_sensitive_strenums
Uppercase and lowercase string enums behaviour updated
2020-12-14 15:56:58 +02:00
Evgeni (Gene) Makarov
a8ab206849 changes reverted after rebase 2020-12-14 14:39:36 +03:00
Evgeni (Gene) Makarov
97f776792f initializing changes related to string enums for pull request 2020-12-14 14:36:21 +03:00
Alexander Goldberg
779f4146e3
Merge pull request #160 from Infinidat/revert-157-case_sensitive_strenums
Revert "Uppercase and lowercase string enums behaviour updated."
2020-12-07 19:06:16 +02:00
Alexander Goldberg
ca57a223ca
Revert "Uppercase and lowercase string enums behaviour updated." 2020-12-07 19:05:49 +02:00
Alexander Goldberg
10a8a3c706
Merge pull request #157 from emakarov/case_sensitive_strenums
Uppercase and lowercase string enums behaviour updated.
2020-12-07 19:02:23 +02:00
Evgeni (Gene) Makarov
8ccf87ad04 fix for bytes 2020-10-30 17:12:25 +03:00
Evgeni (Gene) Makarov
c4ab81ebe1 Uppercase and lowercase string enums behaviour updated. 2020-10-26 19:46:43 +03:00
Itai Shirav
ebdadb3aee Finished Release v2.1.0 2020-07-16 07:22:18 +03:00
Itai Shirav
db194d733f Releasing v2.1.0 2020-07-16 07:21:35 +03:00
Itai Shirav
97773d6dc7 Added usage examples 2020-07-15 23:42:40 +03:00
Itai Shirav
80b220c1e3 Added functions for working with external dictionaries 2020-07-14 22:01:50 +03:00
Itai Shirav
7acfc411d8 Remove __future__ 2020-07-14 22:01:32 +03:00
Itai Shirav
c0bdbb7664 Added usage examples 2020-07-14 21:57:24 +03:00
Itai Shirav
bc900c2ef1 Skip mutations test on old ClickHouse versions 2020-06-27 00:26:21 +03:00
Itai Shirav
436c296609 Support for mutations: QuerySet.update and QuerySet.delete 2020-06-27 00:02:11 +03:00
Itai Shirav
40a1e21348 Added usage examples 2020-06-26 17:53:39 +03:00
Itai Shirav
633c7ee1e9 Refactor get_sql in enum fields 2020-06-23 11:43:37 +03:00
Itai Shirav
f35333a7b6 Support FINAL for ReplacingMergeTree 2020-06-23 11:37:41 +03:00
Itai Shirav
3d12bdb556 Merge branch 'ProjektA-master' into develop 2020-06-23 11:33:26 +03:00
Itai Shirav
c5a083e2bc Merge branch 'master' of https://github.com/ProjektA/infi.clickhouse_orm into ProjektA-master 2020-06-23 11:33:16 +03:00
Itai Shirav
8fea844d70 DateTime64 field - additional fixes & docs 2020-06-23 11:32:43 +03:00
Itai Shirav
c45bd07cea Remove type hints - not supported in Python 3.5 2020-06-23 11:26:43 +03:00
Itai Shirav
f98dead1ab DateTime64 field - additional fixes & docs 2020-06-23 11:26:20 +03:00
Itai Shirav
7fe76c185d DateTime64 field - additional fixes & docs 2020-06-23 11:04:42 +03:00
Christian Pedersen
45552fdb97 Support FINAL for ReplacingMergeTree 2020-06-23 09:35:13 +02:00
Itai Shirav
0dece65b7b Merge branch 'NiyazNz-feature/DateTime64' into develop 2020-06-22 23:24:12 +03:00
Niyaz Batyrshin
888f8dc4da fix docs 2020-06-12 11:51:25 +03:00
Niyaz Batyrshin
2a38c5200c test DateTime64 timezones 2020-06-12 11:50:53 +03:00
Niyaz Batyrshin
f30cb87e60 * timezone support moved to base DateTimeField class, timezone accepts string value or pytz.timezone
* test timezones and DateTime64 precision
2020-06-12 11:29:47 +03:00
Niyaz Batyrshin
bbab55e6d6 Merge remote-tracking branch 'origin/develop' into feature/DateTime64
# Conflicts:
#	src/infi/clickhouse_orm/models.py
2020-06-07 13:24:00 +03:00
Niyaz Batyrshin
62ad18d8ff removes error reraising 2020-06-07 13:14:18 +03:00
Niyaz Batyrshin
ed51ad5be6 DateTime64 field
closes #145
2020-06-07 12:50:45 +03:00
Itai Shirav
667cde1685 Support for data skipping indexes 2020-06-06 21:34:09 +03:00
Itai Shirav
aaa1038a70 Support for data skipping indexes 2020-06-06 21:21:18 +03:00
Itai Shirav
4be1b0437f Support for data skipping indexes 2020-06-06 21:06:29 +03:00
Itai Shirav
635197de38 Support for data skipping indexes 2020-06-06 20:56:32 +03:00
Itai Shirav
22cd908a49 Support for model constraints 2020-06-06 11:37:25 +03:00
Itai Shirav
ffd9bab0ef Support for model constraints 2020-06-06 11:07:25 +03:00
Itai Shirav
393209e624 Support for model constraints 2020-06-06 11:07:01 +03:00
Itai Shirav
4616f8cb0e Finished Release v2.0.1 2020-05-30 15:49:00 +03:00
Itai Shirav
afd9bb5a09 Remove unnecessary import of six 2020-05-30 15:30:17 +03:00
Itai Shirav
4f0624d35c Finished Release v2.0.0 2020-05-29 15:50:11 +03:00
Itai Shirav
3ec54e510c Fix tests that fail on older ClickHouse versions 2020-05-29 12:53:14 +03:00
Itai Shirav
b2af10b11c Fix tests that fail on older ClickHouse versions 2020-05-29 12:23:20 +03:00
Itai Shirav
0c2d0f0ffd Fix tests that fail on older ClickHouse versions 2020-05-29 11:32:49 +03:00
Itai Shirav
5d97b4c84a Fix tests that fail on older ClickHouse versions 2020-05-29 11:08:30 +03:00
Itai Shirav
3fb3936a8a Fix tests that fail on older ClickHouse versions 2020-05-29 01:59:07 +03:00
Itai Shirav
efebfc67ed Ignore functions that don't exist in the used ClickHouse version 2020-05-29 01:37:13 +03:00
Itai Shirav
bde5c75eba Python 3.5 does not support f-strings 2020-05-29 01:36:53 +03:00
Itai Shirav
a8c88a499a Skip some tests when the server isn't in UTC timezone 2020-05-29 00:12:00 +03:00
Itai Shirav
33ad54d6de Skip some tests when the server isn't in UTC timezone 2020-05-29 00:05:28 +03:00
Itai Shirav
39eea8490f Get rid of some python warnings 2020-05-28 23:16:37 +03:00
Itai Shirav
85d0fb66b6 Use Python 3.8 2020-05-28 23:07:59 +03:00
Itai Shirav
f0bef7f75d Allow assignment of NO_VALUE to fields 2020-05-28 23:02:55 +03:00
Itai Shirav
56cf86a246 docs 2020-05-28 23:02:34 +03:00
Itai Shirav
6702cffe72 TRIVIAL add test 2020-05-28 19:38:51 +03:00
Itai Shirav
113ac7ad4a docs 2020-05-28 19:38:41 +03:00
Itai Shirav
e97e48a695 Fix test in for latest clickhouse version 2020-05-28 18:17:52 +03:00
Itai Shirav
f084b6e95f docs 2020-05-28 18:07:45 +03:00
Itai Shirav
9e119f33e6 docs 2020-05-16 12:15:14 +03:00
Itai Shirav
9697157d6b allow expressions in MergeTree params 2020-05-16 12:15:01 +03:00
Itai Shirav
ce784d7af7 Merge branch 'develop' into funcs 2020-05-16 09:29:23 +03:00
Itai Shirav
0c89989519 Finished Release v1.4.0 2020-05-16 09:28:23 +03:00
Itai Shirav
fcb28b8c9f Releasing v1.4.0 2020-05-16 09:26:43 +03:00
Itai Shirav
613e594fa9 docs 2020-05-16 09:25:05 +03:00
Itai Shirav
00bf7eeb75 count() and paginate() - accept conditions as expressions and Q objects 2020-05-16 09:24:31 +03:00
Itai Shirav
6dee101593 - improve imports
- documentation updates
2020-05-01 20:11:40 +03:00
Itai Shirav
677e08f723 Merge branch 'develop' into funcs
# Conflicts:
#	src/infi/clickhouse_orm/engines.py
#	src/infi/clickhouse_orm/fields.py
2020-05-01 17:27:54 +03:00
Itai Shirav
3019647339 TRIVIAL update changelog 2020-05-01 16:44:54 +03:00
Itai Shirav
d1ba26af20 TRIVIAL test negative enum values 2020-05-01 16:44:20 +03:00
Itai Shirav
7497a3f021 Merge branch 'Romamo-develop' into develop 2020-05-01 16:37:04 +03:00
Itai Shirav
bce87c40c1 Merge branch 'develop' of https://github.com/Romamo/infi.clickhouse_orm into Romamo-develop 2020-05-01 16:36:51 +03:00
Itai Shirav
c27c125d61 TRIVIAL update changelog 2020-05-01 16:35:39 +03:00
Itai Shirav
eb97f60cac Merge branch 'carrotquest-primary-key-issue-114' into develop 2020-05-01 16:33:10 +03:00
Itai Shirav
669a40dd5e Merge branch 'primary-key-issue-114' of https://github.com/carrotquest/infi.clickhouse_orm into carrotquest-primary-key-issue-114 2020-05-01 16:31:43 +03:00
Itai Shirav
127824c026 TRIVIAL add __repr__ to Field class 2020-05-01 16:28:15 +03:00
Itai Shirav
3c38c8ec40 Functions WIP 2020-04-19 07:17:52 +03:00
Itai Shirav
2e586fa61c Merge branch 'develop' into funcs
# Conflicts:
#	tests/test_database.py
2020-04-14 23:04:14 +03:00
Itai Shirav
7b3eb943e2 Functions WIP 2020-04-14 23:03:11 +03:00
Itai Shirav
19439e45ef Functions WIP 2020-04-14 06:24:37 +03:00
Itai Shirav
db3dc70ebf Functions WIP 2020-04-12 20:51:22 +03:00
Itai Shirav
27eac13767 Fix tests for ClickHouse v20.3 2020-03-16 10:41:03 +02:00
Itai Shirav
54c67f2777 Fix tests for ClickHouse v20.3 2020-03-16 10:24:02 +02:00
romamo
39a812b134
Fixed ignoring of negative enum values 2020-03-04 15:02:43 +02:00
Itai Shirav
9f36b17fee - move NO_VALUE to utils
- dynamic generation of func variants (...OrZero, ...OrNull)
2020-02-16 19:35:18 +02:00
Itai Shirav
25c4a6710e - funcs support in limit_by
- aggregate functions wip
2020-02-09 19:20:56 +02:00
Itai Shirav
93747f7758 Improve docs 2020-02-08 18:14:50 +02:00
Itai Shirav
4ffc27100d Support for function-based DEFAULT values, not only literals #36 2020-02-08 12:12:42 +02:00
Itai Shirav
ffeed4a6a4 Support for function-based DEFAULT values, not only literals #36 2020-02-08 12:05:48 +02:00
Itai Shirav
0a94ac98a3 Minor fixes 2020-02-07 15:30:15 +02:00
Itai Shirav
c23947c28f Merge branch 'develop' into funcs 2020-02-07 15:12:12 +02:00
Itai Shirav
262ce13f4d Finished Release v1.3.0 2020-02-07 14:59:57 +02:00
Itai Shirav
40e26d68b6 Releasing v1.3.0 2020-02-07 14:58:42 +02:00
Itai Shirav
17b5c629ac Convert to python 3 2020-02-07 13:37:11 +02:00
Itai Shirav
acccfbcaad Support for using LIMIT N BY feature (simplify, additional testing, documentation) 2020-02-07 13:36:55 +02:00
Itai Shirav
2d434fe61f Merge branch 'utapyngo-develop' into develop 2020-02-07 12:50:52 +02:00
utapyngo
6d7b6250c5 Support for using LIMIT N BY feature
See https://clickhouse.yandex/docs/en/query_language/select/#limit-by-clause
2020-01-20 19:53:38 +07:00
Itai Shirav
ef30f1d1bd Remove usage of six 2019-12-15 19:14:16 +02:00
Itai Shirav
4848c7f813 Support LowCardinality columns in ad-hoc queries 2019-12-12 22:09:35 +02:00
Itai Shirav
39f34b7c85 Functions WIP 2019-10-27 20:20:26 +02:00
Itai Shirav
969070f1ae - Drop py2.7 support
- Add ipv4/6 fields and funcs
- Support funcs as alias/materialized expressions
2019-10-27 19:47:59 +02:00
M1ha
1b37c38bbf Added primary_key parameter 2019-07-15 13:01:45 +05:00
Itai Shirav
cc0f2c4e91 Functions WIP 2019-07-13 23:01:37 +03:00
Itai Shirav
8a21e02862 Functions WIP 2019-07-13 22:54:16 +03:00
Itai Shirav
342f06e7b0 Merge branch 'develop' into funcs
# Conflicts:
#	src/infi/clickhouse_orm/query.py
#	tests/test_decimal_fields.py
#	tests/test_querysets.py
2019-07-13 11:51:10 +03:00
Itai Shirav
88510aaa42 Merge branch 'funcs' of git.infinidat.com:host-opensource/infi.clickhouse_orm into funcs
# Conflicts:
#	src/infi/clickhouse_orm/fields.py
#	src/infi/clickhouse_orm/query.py
#	tests/test_querysets.py
2019-07-13 10:58:09 +03:00
Itai Shirav
4749918014 Finished Release v1.2.0 2019-07-13 10:46:16 +03:00
Itai Shirav
7da75e10eb Releasing v1.2.0 2019-07-13 10:45:19 +03:00
Roy Belio
8d5e47a957 RAMEN-206 Support LowCardinality in infi.clickhouse_orm
added documentation
2019-06-25 13:24:06 +03:00
Roy Belio
7fcbad44b9 RAMEN-208 Support codec compression for clickhouse
typo fix
2019-06-25 11:22:32 +03:00
Itai Shirav
38bb4981b8 Update docs 2019-06-25 07:46:37 +03:00
Roy Belio
bcc4c29d10 Drying get_sql methods
Some updates to Nullable documentation
2019-06-24 18:54:55 +03:00
Roy Belio
3ba44608f3 RAMEN-206 Support LowCardinality in infi.clickhouse_orm 2019-06-24 14:20:18 +03:00
Roy Belio
2d3441b127 RAMEN-208 Support codec compression for clickhouse 2019-06-24 12:31:19 +03:00
Roy Belio
1889ac6372 Minor bug fixes
field creation won't allow empty string materialized field.
repliaca_name check is none
fix enum usage
typos fix
2019-06-23 11:53:58 +03:00
Roy Belio
4d2ebd65fb RAMEN-208 Support codec compression for clickhouse 2019-06-23 11:53:20 +03:00
Itai Shirav
f96bd22c38 Functions WIP 2019-01-28 09:51:53 +02:00
Itai Shirav
602d0671f1 Functions WIP 2018-12-14 17:19:32 +02:00
Itai Shirav
962a1673f9 Functions WIP 2018-10-24 16:30:37 +03:00
89 changed files with 9384 additions and 699 deletions

1
.gitignore vendored
View File

@ -59,6 +59,7 @@ src/infi/clickhouse_orm/__version__.py
bootstrap.py
htmldocs/
cover/
# tox
.tox/

1073
.noseids Normal file

File diff suppressed because it is too large Load Diff

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@ -1,6 +1,66 @@
Change Log
==========
v2.1.3
------
- Fix pagination for models with alias columns
v2.1.2
------
- Add `QuerySet.model` to support django-rest-framework 3
v2.1.1
------
- Improve support of ClickHouse v21.9 (mangototango)
- Ignore non-numeric parts in ClickHouse version (mangototango)
- Fix precedence of ~ operator in Q objects (mangototango)
- Support for adding a column to the beginning of a table (meanmail)
- Add stddevPop and stddevSamp functions (k.peskov)
v2.1.0
------
- Support for model constraints
- Support for data skipping indexes
- Support for mutations: `QuerySet.update` and `QuerySet.delete`
- Added functions for working with external dictionaries
- Support FINAL for `ReplacingMergeTree` (chripede)
- Added `DateTime64Field` (NiyazNz)
- Make `DateTimeField` and `DateTime64Field` timezone-aware (NiyazNz)
**Backwards incompatible changes**
Previously, `DateTimeField` always converted its value from the database timezone to UTC. This is no longer the case: the field's value now preserves the timezone it was defined with, or if not specified - the database's global timezone. This change has no effect if your database timezone is set to UTC.
v2.0.1
------
- Remove unnecessary import of `six`
v2.0.0
------
- Dropped support for Python 2.x
- New flexible syntax for database expressions and functions
- Expressions as default values for model fields
- Support for IPv4 and IPv6 fields
- Automatic generation of models by inspecting existing tables
- Convenient ways to import ORM classes
See [What's new in version 2](docs/whats_new_in_version_2.md) for details.
v1.4.0
------
- Added primary_key parameter to MergeTree engines (M1hacka)
- Support negative enum values (Romamo)
v1.3.0
------
- Support LowCardinality columns in ad-hoc queries
- Support for LIMIT BY in querysets (utapyngo)
v1.2.0
------
- Add support for per-field compression codecs (rbelio, Chocorean)
- Add support for low cardinality fields (rbelio)
v1.1.0
------
- Add PREWHERE support to querysets (M1hacka)

View File

@ -8,10 +8,7 @@ Let's jump right in with a simple example of monitoring CPU usage. First we need
connect to the database and create a table for the model:
```python
from infi.clickhouse_orm.database import Database
from infi.clickhouse_orm.models import Model
from infi.clickhouse_orm.fields import *
from infi.clickhouse_orm.engines import Memory
from infi.clickhouse_orm import Database, Model, DateTimeField, UInt16Field, Float32Field, Memory, F
class CPUStats(Model):
@ -45,13 +42,16 @@ Querying the table is easy, using either the query builder or raw SQL:
```python
# Calculate what percentage of the time CPU 1 was over 95% busy
total = CPUStats.objects_in(db).filter(cpu_id=1).count()
busy = CPUStats.objects_in(db).filter(cpu_id=1, cpu_percent__gt=95).count()
print 'CPU 1 was busy {:.2f}% of the time'.format(busy * 100.0 / total)
queryset = CPUStats.objects_in(db)
total = queryset.filter(CPUStats.cpu_id == 1).count()
busy = queryset.filter(CPUStats.cpu_id == 1, CPUStats.cpu_percent > 95).count()
print('CPU 1 was busy {:.2f}% of the time'.format(busy * 100.0 / total))
# Calculate the average usage per CPU
for row in CPUStats.objects_in(db).aggregate('cpu_id', average='avg(cpu_percent)'):
print 'CPU {row.cpu_id}: {row.average:.2f}%'.format(row=row)
for row in queryset.aggregate(CPUStats.cpu_id, average=F.avg(CPUStats.cpu_percent)):
print('CPU {row.cpu_id}: {row.average:.2f}%'.format(row=row))
```
To learn more please visit the [documentation](docs/toc.md).
This and other examples can be found in the `examples` folder.
To learn more please visit the [documentation](docs/toc.md).

View File

@ -14,8 +14,7 @@ install_requires = [
'iso8601 >= 0.1.12',
'pytz',
'requests',
'setuptools',
'six'
'setuptools'
]
version_file = src/infi/clickhouse_orm/__version__.py
description = A Python library for working with the ClickHouse database
@ -31,7 +30,7 @@ homepage = https://github.com/Infinidat/infi.clickhouse_orm
[isolated-python]
recipe = infi.recipe.python
version = v2.7.12.4
version = v3.8.12
[setup.py]
recipe = infi.recipe.template.version

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Expressions
===========
One of the ORM's core concepts is _expressions_, which are composed using functions, operators and model fields. Expressions are used in multiple places in the ORM:
- When defining [field options](field_options.md) - `default`, `alias` and `materialized`.
- In [table engine](table_engines.md) parameters for engines in the `MergeTree` family.
- In [queryset](querysets.md) methods such as `filter`, `exclude`, `order_by`, `aggregate` and `limit_by`.
Using Expressions
-----------------
Expressions usually include ClickHouse database functions, which are made available by the `F` class. Here's a simple function:
```python
from infi.clickhouse_orm import F
expr = F.today()
```
Functions that accept arguments can be composed, just like when using SQL:
```python
expr = F.toDayOfWeek(F.today())
```
You can see the SQL expression that is represented by an ORM expression by calling its `to_sql` method or converting it to a string:
```python
>>> print(expr)
toDayOfWeek(today())
```
### Operators
ORM expressions support Python's standard arithmetic operators, so you can compose expressions using `+`, `-`, `*`, `/`, `//` and `%`. For example:
```python
# A random integer between 1 and 10
F.rand() % 10 + 1
```
There is also support for comparison operators (`<`, `<=`, `==`, `>=`, `>`, `!=`) and logical operators (`&`, `|`, `~`, `^`) which are often used for filtering querysets:
```python
# Is it Friday the 13th?
(F.toDayOfWeek(F.today()) == 6) & (F.toDayOfMonth(F.today()) == 13)
```
Note that Python's bitwise operators (`&`, `|`, `~`, `^`) have higher precedence than comparison operators, so always use parentheses when combining these two types of operators in an expression. Otherwise the resulting SQL might be different than what you would expect.
### Referring to model fields
To refer to a model field inside an expression, use `<class>.<field>` syntax, for example:
```python
# Convert the temperature from Celsius to Fahrenheit
Sensor.temperature * 1.8 + 32
```
Inside model class definitions omit the class name:
```python
class Person(Model):
height_cm = Float32Field()
height_inch = Float32Field(alias=height_cm/2.54)
...
```
### Parametric functions
Some of ClickHouse's aggregate functions can accept one or more parameters - constants for initialization that affect the way the function works. The syntax is two pairs of brackets instead of one. The first is for parameters, and the second is for arguments. For example:
```python
# Most common last names
F.topK(5)(Person.last_name)
# Find 90th, 95th and 99th percentile of heights
F.quantiles(0.9, 0.95, 0.99)(Person.height)
```
### Creating new "functions"
Since expressions are just Python objects until they get converted to SQL, it is possible to invent new "functions" by combining existing ones into useful building blocks. For example, we can create a reusable expression that takes a string and trims whitespace, converts it to uppercase, and changes blanks to underscores:
```python
def normalize_string(s):
return F.replaceAll(F.upper(F.trimBoth(s)), ' ', '_')
```
Then we can use this expression anywhere we need it:
```python
class Event(Model):
code = StringField()
normalized_code = StringField(materialized=normalize_string(code))
```
### Which functions are available?
ClickHouse has many hundreds of functions, and new ones often get added. Many, but not all of them, are already covered by the ORM. If you encounter a function that the database supports but is not available in the `F` class, please report this via a GitHub issue. You can still use the function by providing its name:
```python
expr = F("someFunctionName", arg1, arg2, ...)
```
Note that higher-order database functions (those that use lambda expressions) are not supported.
---
[<< Models and Databases](models_and_databases.md) | [Table of Contents](toc.md) | [Importing ORM Classes >>](importing_orm_classes.md)

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Field Options
=============
All field types accept the following arguments:
- default
- alias
- materialized
- readonly
- codec
Note that `default`, `alias` and `materialized` are mutually exclusive - you cannot use more than one of them in a single field.
## default
Specifies a default value to use for the field. If not given, the field will have a default value based on its type: empty string for string fields, zero for numeric fields, etc.
The default value can be a Python value suitable for the field type, or an expression. For example:
```python
class Event(Model):
name = StringField(default="EVENT")
repeated = UInt32Field(default=1)
created = DateTimeField(default=F.now())
engine = Memory()
...
```
When creating a model instance, any fields you do not specify get their default value. Fields that use a default expression are assigned a sentinel value of `infi.clickhouse_orm.utils.NO_VALUE` instead. For example:
```python
>>> event = Event()
>>> print(event.to_dict())
{'name': 'EVENT', 'repeated': 1, 'created': <NO_VALUE>}
```
:warning: Due to a bug in ClickHouse versions prior to 20.1.2.4, insertion of records with expressions for default values may fail.
## alias / materialized
The `alias` and `materialized` attributes expect an expression that gets calculated by the database. The difference is that `alias` fields are calculated on the fly, while `materialized` fields are calculated when the record is inserted, and are stored on disk.
You can use any expression, and can refer to other model fields. For example:
```python
class Event(Model):
created = DateTimeField()
created_date = DateTimeField(materialized=F.toDate(created))
name = StringField()
normalized_name = StringField(alias=F.upper(F.trim(name)))
engine = Memory()
```
For backwards compatibility with older versions of the ORM, you can pass the expression as an SQL string:
```python
created_date = DateTimeField(materialized="toDate(created)")
```
Both field types can't be inserted into the database directly, so they are ignored when using the `Database.insert()` method. ClickHouse does not return the field values if you use `"SELECT * FROM ..."` - you have to list these field names explicitly in the query.
Usage:
```python
obj = Event(created=datetime.now(), name='MyEvent')
db = Database('my_test_db')
db.insert([obj])
# All values will be retrieved from database
db.select('SELECT created, created_date, username, name FROM $db.event', model_class=Event)
# created_date and username will contain a default value
db.select('SELECT * FROM $db.event', model_class=Event)
```
When creating a model instance, any alias or materialized fields are assigned a sentinel value of `infi.clickhouse_orm.utils.NO_VALUE` since their real values can only be known after insertion to the database.
## codec
This attribute specifies the compression algorithm to use for the field (instead of the default data compression algorithm defined in server settings).
Supported compression algorithms:
| Codec | Argument | Comment
| -------------------- | -------------------------------------------| ----------------------------------------------------
| NONE | None | No compression.
| LZ4 | None | LZ4 compression.
| LZ4HC(`level`) | Possible `level` range: [3, 12]. | Default value: 9. Greater values stands for better compression and higher CPU usage. Recommended value range: [4,9].
| ZSTD(`level`) | Possible `level`range: [1, 22]. | Default value: 1. Greater values stands for better compression and higher CPU usage. Levels >= 20, should be used with caution, as they require more memory.
| Delta(`delta_bytes`) | Possible `delta_bytes` range: 1, 2, 4 , 8. | Default value for `delta_bytes` is `sizeof(type)` if it is equal to 1, 2,4 or 8 and equals to 1 otherwise.
Codecs can be combined by separating their names with commas. The default database codec is not included into pipeline (if it should be applied to a field, you have to specify it explicitly in pipeline).
Recommended usage for codecs:
- When values for particular metric do not differ significantly from point to point, delta-encoding allows to reduce disk space usage significantly.
- DateTime works great with pipeline of Delta, ZSTD and the column size can be compressed to 2-3% of its original size (given a smooth datetime data)
- Numeric types usually enjoy best compression rates with ZSTD
- String types enjoy good compression rates with LZ4HC
Example:
```python
class Stats(Model):
id = UInt64Field(codec='ZSTD(10)')
timestamp = DateTimeField(codec='Delta,ZSTD')
timestamp_date = DateField(codec='Delta(4),ZSTD(22)')
metadata_id = Int64Field(codec='LZ4')
status = StringField(codec='LZ4HC(10)')
calculation = NullableField(Float32Field(), codec='ZSTD')
alerts = ArrayField(FixedStringField(length=15), codec='Delta(2),LZ4HC')
engine = MergeTree('timestamp_date', ('id', 'timestamp'))
```
Note: This feature is supported on ClickHouse version 19.1.16 and above. Codec arguments will be ignored by the ORM for older versions of ClickHouse.
## readonly
This attribute is set automatically for fields with `alias` or `materialized` attributes, you do not need to pass it yourself.
---
[<< Querysets](querysets.md) | [Table of Contents](toc.md) | [Field Types >>](field_types.md)

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Field Types
===========
See: [ClickHouse Documentation](https://clickhouse.yandex/docs/en/data_types/)
See: [ClickHouse Documentation](https://clickhouse.tech/docs/en/sql-reference/data-types/)
Currently the following field types are supported:
The following field types are supported:
| Class | DB Type | Pythonic Type | Comments
| ------------------ | ---------- | --------------------- | -----------------------------------------------------
| StringField | String | str | Encoded as UTF-8 when written to ClickHouse
| FixedStringField | FixedString| str | Encoded as UTF-8 when written to ClickHouse
| DateField | Date | datetime.date | Range 1970-01-01 to 2105-12-31
| DateTimeField | DateTime | datetime.datetime | Minimal value is 1970-01-01 00:00:00; Timezone aware
| DateTime64Field | DateTime64 | datetime.datetime | Minimal value is 1970-01-01 00:00:00; Timezone aware
| Int8Field | Int8 | int | Range -128 to 127
| Int16Field | Int16 | int | Range -32768 to 32767
| Int32Field | Int32 | int | Range -2147483648 to 2147483647
| Int64Field | Int64 | int | Range -9223372036854775808 to 9223372036854775807
| UInt8Field | UInt8 | int | Range 0 to 255
| UInt16Field | UInt16 | int | Range 0 to 65535
| UInt32Field | UInt32 | int | Range 0 to 4294967295
| UInt64Field | UInt64 | int | Range 0 to 18446744073709551615
| Float32Field | Float32 | float |
| Float64Field | Float64 | float |
| DecimalField | Decimal | Decimal | Pythonic values are rounded to fit the scale of the database field
| Decimal32Field | Decimal32 | Decimal | Ditto
| Decimal64Field | Decimal64 | Decimal | Ditto
| Decimal128Field | Decimal128 | Decimal | Ditto
| UUIDField | UUID | uuid.UUID |
| IPv4Field | IPv4 | ipaddress.IPv4Address |
| IPv6Field | IPv6 | ipaddress.IPv6Address |
| Enum8Field | Enum8 | Enum | See below
| Enum16Field | Enum16 | Enum | See below
| ArrayField | Array | list | See below
| NullableField | Nullable | See below | See below
| Class | DB Type | Pythonic Type | Comments
| ------------------ | ---------- | ------------------- | -----------------------------------------------------
| StringField | String | unicode | Encoded as UTF-8 when written to ClickHouse
| FixedStringField | String | unicode | Encoded as UTF-8 when written to ClickHouse
| DateField | Date | datetime.date | Range 1970-01-01 to 2105-12-31
| DateTimeField | DateTime | datetime.datetime | Minimal value is 1970-01-01 00:00:00; Always in UTC
| Int8Field | Int8 | int | Range -128 to 127
| Int16Field | Int16 | int | Range -32768 to 32767
| Int32Field | Int32 | int | Range -2147483648 to 2147483647
| Int64Field | Int64 | int/long | Range -9223372036854775808 to 9223372036854775807
| UInt8Field | UInt8 | int | Range 0 to 255
| UInt16Field | UInt16 | int | Range 0 to 65535
| UInt32Field | UInt32 | int | Range 0 to 4294967295
| UInt64Field | UInt64 | int/long | Range 0 to 18446744073709551615
| Float32Field | Float32 | float |
| Float64Field | Float64 | float |
| DecimalField | Decimal | Decimal | Pythonic values are rounded to fit the scale of the database field
| Decimal32Field | Decimal32 | Decimal | Ditto
| Decimal64Field | Decimal64 | Decimal | Ditto
| Decimal128Field | Decimal128 | Decimal | Ditto
| UUIDField | UUID | Decimal |
| Enum8Field | Enum8 | Enum | See below
| Enum16Field | Enum16 | Enum | See below
| ArrayField | Array | list | See below
| NullableField | Nullable | See below | See below
DateTimeField and Time Zones
----------------------------
A `DateTimeField` can be assigned values from one of the following types:
`DateTimeField` and `DateTime64Field` can accept a `timezone` parameter (either the timezone name or a `pytz` timezone instance). This timezone will be used as the column timezone in ClickHouse. If not provided, the fields will use the timezone defined in the database configuration.
A `DateTimeField` and `DateTime64Field` can be assigned values from one of the following types:
- datetime
- date
- integer - number of seconds since the Unix epoch
- float (DateTime64Field only) - number of seconds and microseconds since the Unix epoch
- string in `YYYY-MM-DD HH:MM:SS` format or [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601)-compatible format
The assigned value always gets converted to a timezone-aware `datetime` in UTC. If the assigned value is a timezone-aware `datetime` in another timezone, it will be converted to UTC. Otherwise, the assigned value is assumed to already be in UTC.
The assigned value always gets converted to a timezone-aware `datetime` in UTC. The only exception is when the assigned value is a timezone-aware `datetime`, in which case it will not be changed.
DateTime values that are read from the database are kept in the database-defined timezone - either the one defined for the field, or the global timezone defined in the database configuration.
It is strongly recommended to set the server timezone to UTC and to store all datetime values in that timezone, in order to prevent confusion and subtle bugs. Conversion to a different timezone should only be performed when the value needs to be displayed.
DateTime values that are read from the database are also converted to UTC. ClickHouse formats them according to the timezone of the server, and the ORM makes the necessary conversions. This requires a ClickHouse
version which is new enough to support the `timezone()` function, otherwise it is assumed to be using UTC. In any case, we recommend settings the server timezone to UTC in order to prevent confusion.
Working with enum fields
------------------------
`Enum8Field` and `Enum16Field` provide support for working with ClickHouse enum columns. They accept strings or integers as values, and convert them to the matching Pythonic Enum member.
Python 3.4 and higher supports Enums natively. When using previous Python versions you need to install the enum34 library.
Example of a model with an enum field:
```python
Gender = Enum('Gender', 'male female unspecified')
class Person(models.Model):
class Person(Model):
first_name = fields.StringField()
last_name = fields.StringField()
birthday = fields.DateField()
gender = fields.Enum32Field(Gender)
first_name = StringField()
last_name = StringField()
birthday = DateField()
gender = Enum32Field(Gender)
engine = engines.MergeTree('birthday', ('first_name', 'last_name', 'birthday'))
engine = MergeTree('birthday', ('first_name', 'last_name', 'birthday'))
suzy = Person(first_name='Suzy', last_name='Jones', gender=Gender.female)
```
@ -76,65 +83,34 @@ Working with array fields
You can create array fields containing any data type, for example:
```python
class SensorData(models.Model):
class SensorData(Model):
date = fields.DateField()
temperatures = fields.ArrayField(fields.Float32Field())
humidity_levels = fields.ArrayField(fields.UInt8Field())
date = DateField()
temperatures = ArrayField(Float32Field())
humidity_levels = ArrayField(UInt8Field())
engine = engines.MergeTree('date', ('date',))
engine = MergeTree('date', ('date',))
data = SensorData(date=date.today(), temperatures=[25.5, 31.2, 28.7], humidity_levels=[41, 39, 66])
```
Note that multidimensional arrays are not supported yet by the ORM.
Working with materialized and alias fields
------------------------------------------
ClickHouse provides an opportunity to create MATERIALIZED and ALIAS Fields.
See documentation [here](https://clickhouse.yandex/docs/en/query_language/queries/#default-values).
Both field types can't be inserted into the database directly, so they are ignored when using the `Database.insert()` method. ClickHouse does not return the field values if you use `"SELECT * FROM ..."` - you have to list these field names explicitly in the query.
Usage:
```python
class Event(models.Model):
created = fields.DateTimeField()
created_date = fields.DateTimeField(materialized='toDate(created)')
name = fields.StringField()
username = fields.StringField(alias='name')
engine = engines.MergeTree('created_date', ('created_date', 'created'))
obj = Event(created=datetime.now(), name='MyEvent')
db = Database('my_test_db')
db.insert([obj])
# All values will be retrieved from database
db.select('SELECT created, created_date, username, name FROM $db.event', model_class=Event)
# created_date and username will contain a default value
db.select('SELECT * FROM $db.event', model_class=Event)
```
Working with nullable fields
----------------------------
From [some time](https://github.com/yandex/ClickHouse/pull/70) ClickHouse provides a NULL value support.
Also see some information [here](https://github.com/yandex/ClickHouse/blob/master/dbms/tests/queries/0_stateless/00395_nullable.sql).
[ClickHouse provides a NULL value support](https://clickhouse.tech/docs/en/sql-reference/data-types/nullable/).
Wrapping another field in a `NullableField` makes it possible to assign `None` to that field. For example:
```python
class EventData(models.Model):
class EventData(Model):
date = fields.DateField()
comment = fields.NullableField(fields.StringField(), extra_null_values={''})
score = fields.NullableField(fields.UInt8Field())
serie = fields.NullableField(fields.ArrayField(fields.UInt8Field()))
date = DateField()
comment = NullableField(StringField(), extra_null_values={''})
score = NullableField(UInt8Field())
serie = NullableField(ArrayField(UInt8Field()))
engine = engines.MergeTree('date', ('date',))
engine = MergeTree('date', ('date',))
score_event = EventData(date=date.today(), comment=None, score=5, serie=None)
@ -148,6 +124,36 @@ to `None`.
NOTE: `ArrayField` of `NullableField` is not supported. Also `EnumField` cannot be nullable.
NOTE: Using `Nullable` almost always negatively affects performance, keep this in mind when designing your databases.
Working with LowCardinality fields
----------------------------------
Starting with version 19.0 ClickHouse offers a new type of field to improve the performance of queries
and compaction of columns for low entropy data.
[More specifically](https://github.com/tech/ClickHouse/issues/4074) LowCardinality data type builds dictionaries automatically. It can use multiple different dictionaries if necessarily.
If the number of distinct values is pretty large, the dictionaries become local, several different dictionaries will be used for different ranges of data. For example, if you have too many distinct values in total, but only less than about a million values each day - then the queries by day will be processed efficiently, and queries for larger ranges will be processed rather efficiently.
LowCardinality works independently of (generic) fields compression.
LowCardinality fields are subsequently compressed as usual.
The compression ratios of LowCardinality fields for text data may be significantly better than without LowCardinality.
LowCardinality will give performance boost, in the form of processing speed, if the number of distinct values is less than a few millions. This is because data is processed in dictionary encoded form.
You can find further information [here](https://clickhouse.tech/docs/en/sql-reference/data-types/lowcardinality/).
Usage example:
```python
class LowCardinalityModel(Model):
date = DateField()
string = LowCardinalityField(StringField())
nullable = LowCardinalityField(NullableField(StringField()))
array = ArrayField(LowCardinalityField(DateField()))
...
```
Note: `LowCardinality` field with an inner array field is not supported. Use an `ArrayField` with a `LowCardinality` inner field as seen in the example.
Creating custom field types
---------------------------
Sometimes it is convenient to use data types that are supported in Python, but have no corresponding column type in ClickHouse. In these cases it is possible to define a custom field class that knows how to convert the Pythonic object to a suitable representation in the database, and vice versa.
@ -160,7 +166,7 @@ For example, we can create a BooleanField which will hold `True` and `False` val
Here's the full implementation:
```python
from infi.clickhouse_orm.fields import Field
from infi.clickhouse_orm import Field
class BooleanField(Field):
@ -186,4 +192,4 @@ class BooleanField(Field):
---
[<< Querysets](querysets.md) | [Table of Contents](toc.md) | [Table Engines >>](table_engines.md)
[<< Field Options](field_options.md) | [Table of Contents](toc.md) | [Table Engines >>](table_engines.md)

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@ -0,0 +1,89 @@
Importing ORM Classes
=====================
The ORM supports different styles of importing and referring to its classes, so choose what works for you from the options below.
Importing Everything
--------------------
It is safe to use `import *` from `infi.clickhouse_orm` or its submodules. Only classes that are needed by users of the ORM will get imported, and nothing else:
```python
from infi.clickhouse_orm import *
```
This is exactly equivalent to the following import statements:
```python
from infi.clickhouse_orm.database import *
from infi.clickhouse_orm.engines import *
from infi.clickhouse_orm.fields import *
from infi.clickhouse_orm.funcs import *
from infi.clickhouse_orm.migrations import *
from infi.clickhouse_orm.models import *
from infi.clickhouse_orm.query import *
from infi.clickhouse_orm.system_models import *
```
By importing everything, all of the ORM's public classes can be used directly. For example:
```python
from infi.clickhouse_orm import *
class Event(Model):
name = StringField(default="EVENT")
repeated = UInt32Field(default=1)
created = DateTimeField(default=F.now())
engine = Memory()
```
Importing Everything into a Namespace
-------------------------------------
To prevent potential name clashes and to make the code more readable, you can import the ORM's classes into a namespace of your choosing, e.g. `orm`. For brevity, it is recommended to import the `F` class explicitly:
```python
import infi.clickhouse_orm as orm
from infi.clickhouse_orm import F
class Event(orm.Model):
name = orm.StringField(default="EVENT")
repeated = orm.UInt32Field(default=1)
created = orm.DateTimeField(default=F.now())
engine = orm.Memory()
```
Importing Specific Submodules
-----------------------------
It is possible to import only the submodules you need, and use their names to qualify the ORM's class names. This option is more verbose, but makes it clear where each class comes from. For example:
```python
from infi.clickhouse_orm import models, fields, engines, F
class Event(models.Model):
name = fields.StringField(default="EVENT")
repeated = fields.UInt32Field(default=1)
created = fields.DateTimeField(default=F.now())
engine = engines.Memory()
```
Importing Specific Classes
--------------------------
If you prefer, you can import only the specific ORM classes that you need directly from `infi.clickhouse_orm`:
```python
from infi.clickhouse_orm import Model, StringField, UInt32Field, DateTimeField, F, Memory
class Event(Model):
name = StringField(default="EVENT")
repeated = UInt32Field(default=1)
created = DateTimeField(default=F.now())
engine = Memory()
```
---
[<< Expressions](expressions.md) | [Table of Contents](toc.md) | [Querysets >>](querysets.md)

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@ -1,9 +1,9 @@
Overview
========
This project is simple ORM for working with the [ClickHouse database](https://clickhouse.yandex/). It allows you to define model classes whose instances can be written to the database and read from it.
This project is simple ORM for working with the [ClickHouse database](https://clickhouse.tech/). It allows you to define model classes whose instances can be written to the database and read from it.
It was tested on Python 2.7 and 3.5.
Version 1.x supports Python 2.7 and 3.5+. Version 2.x dropped support for Python 2.7, and works only with Python 3.5+.
Installation
------------

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@ -9,17 +9,18 @@ Defining Models
---------------
Models are defined in a way reminiscent of Django's ORM, by subclassing `Model`:
```python
from infi.clickhouse_orm import Model, StringField, DateField, Float32Field, MergeTree
from infi.clickhouse_orm import models, fields, engines
class Person(Model):
class Person(models.Model):
first_name = StringField()
last_name = StringField()
birthday = DateField()
height = Float32Field()
first_name = fields.StringField()
last_name = fields.StringField()
birthday = fields.DateField()
height = fields.Float32Field()
engine = engines.MergeTree('birthday', ('first_name', 'last_name', 'birthday'))
engine = MergeTree('birthday', ('first_name', 'last_name', 'birthday'))
```
The columns in the database table are represented by model fields. Each field has a type, which matches the type of the corresponding database column. All the supported fields types are listed [here](field_types.md).
@ -29,47 +30,83 @@ A model must have an `engine`, which determines how its table is stored on disk
Each field has a "natural" default value - empty string for string fields, zero for numeric fields etc. To specify a different value use the `default` parameter:
first_name = fields.StringField(default="anonymous")
first_name = StringField(default="anonymous")
For additional details see [here](field_options.md).
### Null values
To allow null values in a field, wrap it inside a `NullableField`:
birthday = fields.NullableField(fields.DateField())
birthday = NullableField(DateField())
In this case, the default value for that field becomes `null` unless otherwise specified.
For more information about `NullableField` see [Field Types](field_types.md).
### Materialized fields
The value of a materialized field is calculated from other fields in the model. For example:
year_born = fields.Int16Field(materialized="toYear(birthday)")
year_born = Int16Field(materialized=F.toYear(birthday))
Materialized fields are read-only, meaning that their values are not sent to the database when inserting records.
It is not possible to specify a default value for a materialized field.
For additional details see [here](field_options.md).
### Alias fields
An alias field is a field whose value is calculated by ClickHouse on the fly, as a function of other fields. It is not physically stored by the database. For example:
weekday_born = field.UInt8Field(alias="toDayOfWeek(birthday)")
weekday_born = field.UInt8Field(alias=F.toDayOfWeek(birthday))
Alias fields are read-only, meaning that their values are not sent to the database when inserting records.
It is not possible to specify a default value for an alias field.
For additional details see [here](field_options.md).
### Table Names
The table name used for the model is its class name, converted to lowercase. To override the default name, implement the `table_name` method:
```python
class Person(Model):
class Person(models.Model):
...
...
@classmethod
def table_name(cls):
return 'people'
```
### Model Constraints
It is possible to define constraints which ClickHouse verifies when data is inserted. Trying to insert invalid records will raise a `ServerError`. Each constraint has a name and an expression to validate. For example:
```python
class Person(Model):
...
# Ensure that the birthday is not a future date
birthday_is_in_the_past = Constraint(birthday <= F.today())
```
### Data Skipping Indexes
Models that use an engine from the `MergeTree` family can define additional indexes over one or more columns or expressions. These indexes are used in SELECT queries for reducing the amount of data to read from the disk by skipping big blocks of data that do not satisfy the query's conditions.
For example:
```python
class Person(Model):
...
# A minmax index that can help find people taller or shorter than some height
height_index = Index(height, type=Index.minmax(), granularity=2)
# A trigram index that can help find substrings inside people names
names_index = Index((F.lower(first_name), F.lower(last_name)),
type=Index.ngrambf_v1(3, 256, 2, 0), granularity=1)
```
@classmethod
def table_name(cls):
return 'people'
Using Models
------------
@ -96,7 +133,7 @@ Inserting to the Database
To write your instances to ClickHouse, you need a `Database` instance:
from infi.clickhouse_orm.database import Database
from infi.clickhouse_orm import Database
db = Database('my_test_db')
@ -121,19 +158,19 @@ Reading from the Database
Loading model instances from the database is simple:
for person in db.select("SELECT * FROM my_test_db.person", model_class=Person):
print person.first_name, person.last_name
print(person.first_name, person.last_name)
Do not include a `FORMAT` clause in the query, since the ORM automatically sets the format to `TabSeparatedWithNamesAndTypes`.
It is possible to select only a subset of the columns, and the rest will receive their default values:
for person in db.select("SELECT first_name FROM my_test_db.person WHERE last_name='Smith'", model_class=Person):
print person.first_name
print(person.first_name)
The ORM provides a way to build simple queries without writing SQL by hand. The previous snippet can be written like this:
for person in Person.objects_in(db).filter(last_name='Smith').only('first_name'):
print person.first_name
for person in Person.objects_in(db).filter(Person.last_name == 'Smith').only('first_name'):
print(person.first_name)
See [Querysets](querysets.md) for more information.
@ -144,10 +181,16 @@ Reading without a Model
When running a query, specifying a model class is not required. In case you do not provide a model class, an ad-hoc class will be defined based on the column names and types returned by the query:
for row in db.select("SELECT max(height) as max_height FROM my_test_db.person"):
print row.max_height
print(row.max_height)
This is a very convenient feature that saves you the need to define a model for each query, while still letting you work with Pythonic column values and an elegant syntax.
It is also possible to generate a model class on the fly for an existing table in the database using `get_model_for_table`. This is particularly useful for querying system tables, for example:
QueryLog = db.get_model_for_table('query_log', system_table=True)
for row in QueryLog.objects_in(db).filter(QueryLog.query_duration_ms > 10000):
print(row.query)
SQL Placeholders
----------------
@ -180,9 +223,9 @@ It is possible to paginate through model instances:
>>> order_by = 'first_name, last_name'
>>> page = db.paginate(Person, order_by, page_num=1, page_size=10)
>>> print page.number_of_objects
>>> print(page.number_of_objects)
2507
>>> print page.pages_total
>>> print(page.pages_total)
251
>>> for person in page.objects:
>>> # do something
@ -204,4 +247,4 @@ Note that `order_by` must be chosen so that the ordering is unique, otherwise th
---
[<< Overview](index.md) | [Table of Contents](toc.md) | [Querysets >>](querysets.md)
[<< Overview](index.md) | [Table of Contents](toc.md) | [Expressions >>](expressions.md)

View File

@ -1,3 +1,4 @@
Querysets
=========
@ -8,7 +9,7 @@ A queryset is an object that represents a database query using a specific Model.
This queryset matches all Person instances in the database. You can get these instances using iteration:
for person in qs:
print person.first_name, person.last_name
print(person.first_name, person.last_name)
Filtering
---------
@ -16,31 +17,76 @@ Filtering
The `filter` and `exclude` methods are used for filtering the matching instances. Calling these methods returns a new queryset instance, with the added conditions. For example:
>>> qs = Person.objects_in(database)
>>> qs = qs.filter(first_name__startswith='V').exclude(birthday__lt='2000-01-01')
>>> qs = qs.filter(F.like(Person.first_name, 'V%')).exclude(Person.birthday < '2000-01-01')
>>> qs.conditions_as_sql()
u"first_name LIKE 'V%' AND NOT (birthday < '2000-01-01')"
"first_name LIKE 'V%' AND NOT (birthday < '2000-01-01')"
It is possible to specify several fields to filter or exclude by:
It is possible to specify several expressions to filter or exclude by, and they will be ANDed together:
>>> qs = Person.objects_in(database).filter(last_name='Smith', height__gt=1.75)
>>> qs = Person.objects_in(database).filter(Person.last_name == 'Smith', Person.height > 1.75)
>>> qs.conditions_as_sql()
u"last_name = 'Smith' AND height > 1.75"
"last_name = 'Smith' AND height > 1.75"
For filters with compound conditions you can use `Q` objects inside `filter` with overloaded operators `&` (AND), `|` (OR) and `~` (NOT):
>>> qs = Person.objects_in(database).filter((Q(first_name='Ciaran', last_name='Carver') | Q(height_lte=1.8)) & ~Q(first_name='David'))
>>> qs.conditions_as_sql()
u"((first_name = 'Ciaran' AND last_name = 'Carver') OR height <= 1.8) AND (NOT (first_name = 'David'))"
By default conditions from `filter` and `exclude` methods are add to `WHERE` clause.
For better aggregation performance you can add them to `PREWHERE` section using `prewhere=True` parameter
For compound conditions you can use the overloaded operators `&` (AND), `|` (OR) and `~` (NOT):
>>> qs = Person.objects_in(database)
>>> qs = qs.filter(first_name__startswith='V', prewhere=True)
>>> qs.conditions_as_sql(prewhere=True)
u"first_name LIKE 'V%'"
>>> qs = qs.filter(((Person.first_name == 'Ciaran') & (Person.last_name == 'Carver')) | (Person.height <= 1.8) & ~(Person.first_name = 'David'))
>>> qs.conditions_as_sql()
"((first_name = 'Ciaran' AND last_name = 'Carver') OR height <= 1.8) AND (NOT (first_name = 'David'))"
There are different operators that can be used, by passing `<fieldname>__<operator>=<value>` (two underscores separate the field name from the operator). In case no operator is given, `eq` is used by default. Below are all the supported operators.
Note that Python's bitwise operators (`&`, `|`, `~`, `^`) have higher precedence than comparison operators, so always use parentheses when combining these two types of operators in an expression. Otherwise the resulting SQL might be different than what you would expect.
### Using `IN` and `NOT IN`
Filtering queries using ClickHouse's `IN` and `NOT IN` operators requires using the `isIn` and `isNotIn` functions (trying to use Python's `in` keyword will not work!).
For example:
```python
# Is it Monday, Tuesday or Wednesday?
F.isIn(F.toDayOfWeek(F.now()), [1, 2, 3])
# This will not work:
F.toDayOfWeek(F.now()) in [1, 2, 3]
```
In case of model fields, there is a simplified syntax:
```python
# Filtering using F.isIn:
qs.filter(F.isIn(Person.first_name, ['Robert', 'Rob', 'Robbie']))
# Simpler syntax using isIn directly on the field:
qs.filter(Person.first_name.isIn(['Robert', 'Rob', 'Robbie']))
```
The `isIn` and `isNotIn` functions expect either a list/tuple of values, or another queryset (a subquery). For example if we want to select only people with Irish last names:
```python
# Last name is in a list of values
qs = Person.objects_in(database).filter(Person.last_name.isIn(["Murphy", "O'Sullivan"]))
# Last name is in a subquery
subquery = IrishLastName.objects_in(database).only("name")
qs = Person.objects_in(database).filter(Person.last_name.isIn(subquery))
```
### Specifying PREWHERE conditions
By default conditions from `filter` and `exclude` methods are add to `WHERE` clause.
For better aggregation performance you can add them to `PREWHERE` section by adding a `prewhere=True` parameter:
>>> qs = Person.objects_in(database)
>>> qs = qs.filter(F.like(Person.first_name, 'V%'), prewhere=True)
>>> qs.conditions_as_sql(prewhere=True)
"first_name LIKE 'V%'"
### Old-style filter conditions
Prior to version 2 of the ORM, filtering conditions were limited to a predefined set of operators, and complex expressions were not supported. This old syntax is still available, so you can use it alongside or even intermixed with new-style functions and expressions.
The old syntax uses keyword arguments to the `filter` and `exclude` methods, that are built as `<fieldname>__<operator>=<value>` (two underscores separate the field name from the operator). In case no operator is given, `eq` is used by default. For example:
```python
qs = Position.objects.in(database)
# New style
qs = qs.filter(Position.x > 100, Position.y < 20, Position.terrain == 'water')
# Old style
qs = qs.filter(x__gt=100, y__lt=20, terrain='water')
```
Below are all the supported operators.
| Operator | Equivalent SQL | Comments |
| -------- | -------------------------------------------- | ---------------------------------- |
@ -51,8 +97,8 @@ There are different operators that can be used, by passing `<fieldname>__<operat
| `lt` | `field < value` | |
| `lte` | `field <= value` | |
| `between` | `field BETWEEN value1 AND value2` | |
| `in` | `field IN (values)` | See below |
| `not_in` | `field NOT IN (values)` | See below |
| `in` | `field IN (values)` | |
| `not_in` | `field NOT IN (values)` | |
| `contains` | `field LIKE '%value%'` | For string fields only |
| `startswith` | `field LIKE 'value%'` | For string fields only |
| `endswith` | `field LIKE '%value'` | For string fields only |
@ -61,27 +107,6 @@ There are different operators that can be used, by passing `<fieldname>__<operat
| `iendswith` | `lowerUTF8(field) LIKE lowerUTF8('%value')` | For string fields only |
| `iexact` | `lowerUTF8(field) = lowerUTF8(value)` | For string fields only |
### Using the `in` Operator
The `in` and `not_in` operators expect one of three types of values:
* A list or tuple of simple values
* A string, which is used verbatim as the contents of the parentheses
* Another queryset (subquery)
For example if we want to select only people with Irish last names:
# A list of simple values
qs = Person.objects_in(database).filter(last_name__in=["Murphy", "O'Sullivan"])
# A string
subquery = "SELECT name from $db.irishlastname"
qs = Person.objects_in(database).filter(last_name__in=subquery)
# A queryset
subquery = IrishLastName.objects_in(database).only("name")
qs = Person.objects_in(database).filter(last_name__in=subquery)
Counting and Checking Existence
-------------------------------
@ -126,10 +151,10 @@ Adds a DISTINCT clause to the query, meaning that any duplicate rows in the resu
94
Final
--------
-----
This method can be used only with CollapsingMergeTree engine.
Adds a FINAL modifier to the query, meaning data is selected fully "collapsed" by sign field.
This method can be used only with `CollapsingMergeTree` engine.
Adds a FINAL modifier to the query, meaning that the selected data is fully "collapsed" by the engine's sign field.
>>> Person.objects_in(database).count()
100
@ -144,8 +169,7 @@ It is possible to get a specific item from the queryset by index:
qs = Person.objects_in(database).order_by('last_name', 'first_name')
first = qs[0]
It is also possible to get a range a instances using a slice. This returns a queryset,
that you can either iterate over or convert to a list.
It is also possible to get a range a instances using a slice. This returns a queryset, that you can either iterate over or convert to a list.
qs = Person.objects_in(database).order_by('last_name', 'first_name')
first_ten_people = list(qs[:10])
@ -153,7 +177,7 @@ that you can either iterate over or convert to a list.
You should use `order_by` to ensure a consistent ordering of the results.
Trying to use negative indexes or a slice with a step (e.g. [0:100:2]) is not supported and will raise an `AssertionError`.
Trying to use negative indexes or a slice with a step (e.g. [0 : 100 : 2]) is not supported and will raise an `AssertionError`.
Pagination
----------
@ -162,9 +186,9 @@ Similar to `Database.paginate`, you can go over the queryset results one page at
>>> qs = Person.objects_in(database).order_by('last_name', 'first_name')
>>> page = qs.paginate(page_num=1, page_size=10)
>>> print page.number_of_objects
>>> print(page.number_of_objects)
2507
>>> print page.pages_total
>>> print(page.pages_total)
251
>>> for person in page.objects:
>>> # do something
@ -179,43 +203,66 @@ The `paginate` method returns a `namedtuple` containing the following fields:
Note that you should use `QuerySet.order_by` so that the ordering is unique, otherwise there might be inconsistencies in the pagination (such as an instance that appears on two different pages).
Mutations
---------
To delete all records that match a queryset's conditions use the `delete` method:
Person.objects_in(database).filter(first_name='Max').delete()
To update records that match a queryset's conditions call the `update` method and provide the field names to update and the expressions to use (as keyword arguments):
Person.objects_in(database).filter(first_name='Max').update(first_name='Maximilian')
Note a few caveats:
- ClickHouse cannot update columns that are used in the calculation of the primary or the partition key.
- Mutations happen in the background, so they are not immediate.
- Only tables in the `MergeTree` family support mutations.
Aggregation
-----------
It is possible to use aggregation functions over querysets using the `aggregate` method. The simplest form of aggregation works over all rows in the queryset:
>>> qs = Person.objects_in(database).aggregate(average_height='avg(height)')
>>> print qs.count()
>>> qs = Person.objects_in(database).aggregate(average_height=F.avg(Person.height))
>>> print(qs.count())
1
>>> for row in qs: print row.average_height
>>> for row in qs: print(row.average_height)
1.71
The returned row or rows are no longer instances of the base model (`Person` in this example), but rather instances of an ad-hoc model that includes only the fields specified in the call to `aggregate`.
You can pass names of fields from the model that will be included in the query. By default, they will be also used in the GROUP BY clause. For example to count the number of people per last name you could do this:
You can pass fields from the model that will be included in the query. By default, they will be also used in the GROUP BY clause. For example to count the number of people per last name you could do this:
qs = Person.objects_in(database).aggregate('last_name', num='count()')
qs = Person.objects_in(database).aggregate(Person.last_name, num=F.count())
The underlying SQL query would be something like this:
SELECT last_name, count() AS num FROM person GROUP BY last_name
SELECT last_name, count() AS num
FROM person
GROUP BY last_name
If you would like to control the GROUP BY explicitly, use the `group_by` method. This is useful when you need to group by a calculated field, instead of a field that exists in the model. For example, to count the number of people born on each weekday:
qs = Person.objects_in(database).aggregate(weekday='toDayOfWeek(birthday)', num='count()').group_by('weekday')
qs = Person.objects_in(database).aggregate(weekday=F.toDayOfWeek(Person.birthday), num=F.count()).group_by('weekday')
This queryset is translated to:
SELECT toDayOfWeek(birthday) AS weekday, count() AS num FROM person GROUP BY weekday
SELECT toDayOfWeek(birthday) AS weekday, count() AS num
FROM person
GROUP BY weekday
After calling `aggregate` you can still use most of the regular queryset methods, such as `count`, `order_by` and `paginate`. It is not possible, however, to call `only` or `aggregate`. It is also not possible to filter the queryset on calculated fields, only on fields that exist in the model.
After calling `aggregate` you can still use most of the regular queryset methods, such as `count`, `order_by` and `paginate`. It is not possible, however, to call `only` or `aggregate`. It is also not possible to filter the aggregated queryset on calculated fields, only on fields that exist in the model.
### Adding totals
If you limit aggregation results, it might be useful to get total aggregation values for all rows.
To achieve this, you can use `with_totals` method. It will return extra row (last) with
values aggregated for all rows suitable for filters.
qs = Person.objects_in(database).aggregate('first_name', num='count()').with_totals().order_by('-count')[:3]
>>> print qs.count()
qs = Person.objects_in(database).aggregate(Person.first_name, num=F.count()).with_totals().order_by('-count')[:3]
>>> print(qs.count())
4
>>> for row in qs:
>>> print("'{}': {}".format(row.first_name, row.count))
@ -225,4 +272,4 @@ values aggregated for all rows suitable for filters.
---
[<< Models and Databases](models_and_databases.md) | [Table of Contents](toc.md) | [Field Types >>](field_types.md)
[<< Importing ORM Classes](importing_orm_classes.md) | [Table of Contents](toc.md) | [Field Options >>](field_options.md)

View File

@ -448,7 +448,7 @@ Extends Engine
Extends Engine
Here we define Buffer engine
Read more here https://clickhouse.yandex/reference_en.html#Buffer
Read more here https://clickhouse.tech/reference_en.html#Buffer
#### Buffer(main_model, num_layers=16, min_time=10, max_time=100, min_rows=10000, max_rows=1000000, min_bytes=10000000, max_bytes=100000000)

View File

@ -33,19 +33,19 @@ Each migration file is expected to contain a list of `operations`, for example:
The following operations are supported:
**CreateTable**
### CreateTable
A migration operation that creates a table for a given model class. If the table already exists, the operation does nothing.
In case the model class is a `BufferModel`, the operation first creates the underlying on-disk table, and then creates the buffer table.
**DropTable**
### DropTable
A migration operation that drops the table of a given model class. If the table does not exist, the operation does nothing.
**AlterTable**
### AlterTable
A migration operation that compares the table of a given model class to the models fields, and alters the table to match the model. The operation can:
@ -56,14 +56,19 @@ A migration operation that compares the table of a given model class to the mode
Default values are not altered by this operation.
**AlterTableWithBuffer**
### AlterTableWithBuffer
A compound migration operation for altering a buffer table and its underlying on-disk table. The buffer table is dropped, the on-disk table is altered, and then the buffer table is re-created. This is the procedure recommended in the ClickHouse documentation for handling scenarios in which the underlying table needs to be modified.
Applying this migration operation to a regular table has the same effect as an `AlterTable` operation.
**RunPython**
### AlterConstraints
A migration operation that adds new constraints from the model to the database table, and drops obsolete ones. Constraints are identified by their names, so a change in an existing constraint will not be detected unless its name was changed too. ClickHouse does not check that the constraints hold for existing data in the table.
### RunPython
A migration operation that runs a Python function. The function receives the `Database` instance to operate on.
@ -77,9 +82,9 @@ A migration operation that runs a Python function. The function receives the `Da
]
**RunSQL**
### RunSQL
A migration operation that runs raw SQL queries. It expects a string containing an SQL query, or an array of SQL-query strings.
A migration operation that runs raw SQL statements. It expects a string containing an SQL statements, or a list of statements.
Example:

View File

@ -1,7 +1,7 @@
System Models
=============
[Clickhouse docs](https://clickhouse.yandex/docs/en/system_tables/).
[Clickhouse docs](https://clickhouse.tech/docs/en/operations/system-tables/).
System models are read only models for implementing part of the system's functionality, and for providing access to information about how the system is working.
@ -14,7 +14,7 @@ Currently the following system models are supported:
Partitions and Parts
--------------------
[ClickHouse docs](https://clickhouse.yandex/docs/en/query_language/queries/#manipulations-with-partitions-and-parts).
[ClickHouse docs](https://clickhouse.tech/docs/en/sql-reference/statements/alter/#alter_manipulations-with-partitions).
A partition in a table is data for a single calendar month. Table "system.parts" contains information about each part.
@ -30,8 +30,7 @@ A partition in a table is data for a single calendar month. Table "system.parts"
Usage example:
from infi.clickhouse_orm.database import Database
from infi.clickhouse_orm.system_models import SystemPart
from infi.clickhouse_orm import Database, SystemPart
db = Database('my_test_db', db_url='http://192.168.1.1:8050', username='scott', password='tiger')
partitions = SystemPart.get_active(db, conditions='') # Getting all active partitions of the database
if len(partitions) > 0:

View File

@ -1,7 +1,7 @@
Table Engines
=============
See: [ClickHouse Documentation](https://clickhouse.yandex/docs/en/table_engines/)
See: [ClickHouse Documentation](https://clickhouse.tech/docs/en/engines/table-engines/)
Each model must have an engine instance, used when creating the table in ClickHouse.
@ -24,11 +24,11 @@ Simple Engines
`TinyLog`, `Log` and `Memory` engines do not require any parameters:
engine = engines.TinyLog()
engine = TinyLog()
engine = engines.Log()
engine = Log()
engine = engines.Memory()
engine = Memory()
Engines in the MergeTree Family
@ -36,28 +36,28 @@ Engines in the MergeTree Family
To define a `MergeTree` engine, supply the date column name and the names (or expressions) for the key columns:
engine = engines.MergeTree('EventDate', ('CounterID', 'EventDate'))
engine = MergeTree('EventDate', ('CounterID', 'EventDate'))
You may also provide a sampling expression:
engine = engines.MergeTree('EventDate', ('CounterID', 'EventDate'), sampling_expr='intHash32(UserID)')
engine = MergeTree('EventDate', ('CounterID', 'EventDate'), sampling_expr=F.intHash32(UserID))
A `CollapsingMergeTree` engine is defined in a similar manner, but requires also a sign column:
engine = engines.CollapsingMergeTree('EventDate', ('CounterID', 'EventDate'), 'Sign')
engine = CollapsingMergeTree('EventDate', ('CounterID', 'EventDate'), 'Sign')
For a `SummingMergeTree` you can optionally specify the summing columns:
engine = engines.SummingMergeTree('EventDate', ('OrderID', 'EventDate', 'BannerID'),
summing_cols=('Shows', 'Clicks', 'Cost'))
engine = SummingMergeTree('EventDate', ('OrderID', 'EventDate', 'BannerID'),
summing_cols=('Shows', 'Clicks', 'Cost'))
For a `ReplacingMergeTree` you can optionally specify the version column:
engine = engines.ReplacingMergeTree('EventDate', ('OrderID', 'EventDate', 'BannerID'), ver_col='Version')
engine = ReplacingMergeTree('EventDate', ('OrderID', 'EventDate', 'BannerID'), ver_col='Version')
### Custom partitioning
ClickHouse supports [custom partitioning](https://clickhouse.yandex/docs/en/table_engines/custom_partitioning_key/) expressions since version 1.1.54310
ClickHouse supports [custom partitioning](https://clickhouse.tech/docs/en/engines/table-engines/mergetree-family/custom-partitioning-key/) expressions since version 1.1.54310
You can use custom partitioning with any `MergeTree` family engine.
To set custom partitioning:
@ -69,35 +69,48 @@ Standard monthly partitioning by date column can be specified using the `toYYYYM
Example:
engine = engines.ReplacingMergeTree(order_by=('OrderID', 'EventDate', 'BannerID'), ver_col='Version',
partition_key=('toYYYYMM(EventDate)', 'BannerID'))
engine = ReplacingMergeTree(order_by=('OrderID', 'EventDate', 'BannerID'), ver_col='Version',
partition_key=(F.toYYYYMM(EventDate), 'BannerID'))
### Primary key
ClickHouse supports [custom primary key](https://clickhouse.tech/docs/en/engines/table-engines/mergetree-family/mergetree/#primary-keys-and-indexes-in-queries) expressions since version 1.1.54310
You can use custom primary key with any `MergeTree` family engine.
To set custom partitioning add `primary_key` parameter. It should be a tuple of expressions, by which partitions are built.
By default primary key is equal to order_by expression
Example:
engine = ReplacingMergeTree(order_by=('OrderID', 'EventDate', 'BannerID'), ver_col='Version',
partition_key=(F.toYYYYMM(EventDate), 'BannerID'), primary_key=('OrderID',))
### Data Replication
Any of the above engines can be converted to a replicated engine (e.g. `ReplicatedMergeTree`) by adding two parameters, `replica_table_path` and `replica_name`:
engine = engines.MergeTree('EventDate', ('CounterID', 'EventDate'),
replica_table_path='/clickhouse/tables/{layer}-{shard}/hits',
replica_name='{replica}')
engine = MergeTree('EventDate', ('CounterID', 'EventDate'),
replica_table_path='/clickhouse/tables/{layer}-{shard}/hits',
replica_name='{replica}')
Buffer Engine
-------------
A `Buffer` engine is only used in conjunction with a `BufferModel`.
The model should be a subclass of both `models.BufferModel` and the main model.
The model should be a subclass of both `BufferModel` and the main model.
The main model is also passed to the engine:
class PersonBuffer(models.BufferModel, Person):
class PersonBuffer(BufferModel, Person):
engine = engines.Buffer(Person)
engine = Buffer(Person)
Additional buffer parameters can optionally be specified:
engine = engines.Buffer(Person, num_layers=16, min_time=10,
max_time=100, min_rows=10000, max_rows=1000000,
min_bytes=10000000, max_bytes=100000000)
engine = Buffer(Person, num_layers=16, min_time=10,
max_time=100, min_rows=10000, max_rows=1000000,
min_bytes=10000000, max_bytes=100000000)
Then you can insert objects into Buffer model and they will be handled by ClickHouse properly:
@ -110,14 +123,14 @@ Then you can insert objects into Buffer model and they will be handled by ClickH
Merge Engine
-------------
[ClickHouse docs](https://clickhouse.yandex/docs/en/table_engines/merge/)
[ClickHouse docs](https://clickhouse.tech/docs/en/operations/table_engines/merge/)
A `Merge` engine is only used in conjunction with a `MergeModel`.
This table does not store data itself, but allows reading from any number of other tables simultaneously. So you can't insert in it.
Engine parameter specifies re2 (similar to PCRE) regular expression, from which data is selected.
class MergeTable(models.MergeModel):
engine = engines.Merge('^table_prefix')
class MergeTable(MergeModel):
engine = Merge('^table_prefix')
---

View File

@ -10,6 +10,8 @@
* [Materialized fields](models_and_databases.md#materialized-fields)
* [Alias fields](models_and_databases.md#alias-fields)
* [Table Names](models_and_databases.md#table-names)
* [Model Constraints](models_and_databases.md#model-constraints)
* [Data Skipping Indexes](models_and_databases.md#data-skipping-indexes)
* [Using Models](models_and_databases.md#using-models)
* [Inserting to the Database](models_and_databases.md#inserting-to-the-database)
* [Reading from the Database](models_and_databases.md#reading-from-the-database)
@ -20,7 +22,9 @@
* [Querysets](querysets.md#querysets)
* [Filtering](querysets.md#filtering)
* [Using the in Operator](querysets.md#using-the-in-operator)
* [Using IN and NOT IN](querysets.md#using-in-and-not-in)
* [Specifying PREWHERE conditions](querysets.md#specifying-prewhere-conditions)
* [Old-style filter conditions](querysets.md#old-style-filter-conditions)
* [Counting and Checking Existence](querysets.md#counting-and-checking-existence)
* [Ordering](querysets.md#ordering)
* [Omitting Fields](querysets.md#omitting-fields)
@ -28,26 +32,42 @@
* [Final](querysets.md#final)
* [Slicing](querysets.md#slicing)
* [Pagination](querysets.md#pagination)
* [Mutations](querysets.md#mutations)
* [Aggregation](querysets.md#aggregation)
* [Adding totals](querysets.md#adding-totals)
* [Field Options](field_options.md#field-options)
* [default](field_options.md#default)
* [alias / materialized](field_options.md#alias-/-materialized)
* [codec](field_options.md#codec)
* [readonly](field_options.md#readonly)
* [Field Types](field_types.md#field-types)
* [DateTimeField and Time Zones](field_types.md#datetimefield-and-time-zones)
* [Working with enum fields](field_types.md#working-with-enum-fields)
* [Working with array fields](field_types.md#working-with-array-fields)
* [Working with materialized and alias fields](field_types.md#working-with-materialized-and-alias-fields)
* [Working with nullable fields](field_types.md#working-with-nullable-fields)
* [Working with LowCardinality fields](field_types.md#working-with-lowcardinality-fields)
* [Creating custom field types](field_types.md#creating-custom-field-types)
* [Table Engines](table_engines.md#table-engines)
* [Simple Engines](table_engines.md#simple-engines)
* [Engines in the MergeTree Family](table_engines.md#engines-in-the-mergetree-family)
* [Custom partitioning](table_engines.md#custom-partitioning)
* [Primary key](table_engines.md#primary-key)
* [Data Replication](table_engines.md#data-replication)
* [Buffer Engine](table_engines.md#buffer-engine)
* [Merge Engine](table_engines.md#merge-engine)
* [Schema Migrations](schema_migrations.md#schema-migrations)
* [Writing Migrations](schema_migrations.md#writing-migrations)
* [CreateTable](schema_migrations.md#createtable)
* [DropTable](schema_migrations.md#droptable)
* [AlterTable](schema_migrations.md#altertable)
* [AlterTableWithBuffer](schema_migrations.md#altertablewithbuffer)
* [AlterConstraints](schema_migrations.md#alterconstraints)
* [RunPython](schema_migrations.md#runpython)
* [RunSQL](schema_migrations.md#runsql)
* [Running Migrations](schema_migrations.md#running-migrations)
* [System Models](system_models.md#system-models)
@ -58,19 +78,23 @@
* [Tests](contributing.md#tests)
* [Class Reference](class_reference.md#class-reference)
* [infi.clickhouse_orm.database](class_reference.md#infi.clickhouse_orm.database)
* [infi.clickhouse_orm.database](class_reference.md#inficlickhouse_ormdatabase)
* [Database](class_reference.md#database)
* [DatabaseException](class_reference.md#databaseexception)
* [infi.clickhouse_orm.models](class_reference.md#infi.clickhouse_orm.models)
* [infi.clickhouse_orm.models](class_reference.md#inficlickhouse_ormmodels)
* [Model](class_reference.md#model)
* [BufferModel](class_reference.md#buffermodel)
* [MergeModel](class_reference.md#mergemodel)
* [DistributedModel](class_reference.md#distributedmodel)
* [infi.clickhouse_orm.fields](class_reference.md#infi.clickhouse_orm.fields)
* [Constraint](class_reference.md#constraint)
* [Index](class_reference.md#index)
* [infi.clickhouse_orm.fields](class_reference.md#inficlickhouse_ormfields)
* [ArrayField](class_reference.md#arrayfield)
* [BaseEnumField](class_reference.md#baseenumfield)
* [BaseFloatField](class_reference.md#basefloatfield)
* [BaseIntField](class_reference.md#baseintfield)
* [DateField](class_reference.md#datefield)
* [DateTime64Field](class_reference.md#datetime64field)
* [DateTimeField](class_reference.md#datetimefield)
* [Decimal128Field](class_reference.md#decimal128field)
* [Decimal32Field](class_reference.md#decimal32field)
@ -82,10 +106,13 @@
* [FixedStringField](class_reference.md#fixedstringfield)
* [Float32Field](class_reference.md#float32field)
* [Float64Field](class_reference.md#float64field)
* [IPv4Field](class_reference.md#ipv4field)
* [IPv6Field](class_reference.md#ipv6field)
* [Int16Field](class_reference.md#int16field)
* [Int32Field](class_reference.md#int32field)
* [Int64Field](class_reference.md#int64field)
* [Int8Field](class_reference.md#int8field)
* [LowCardinalityField](class_reference.md#lowcardinalityfield)
* [NullableField](class_reference.md#nullablefield)
* [StringField](class_reference.md#stringfield)
* [UInt16Field](class_reference.md#uint16field)
@ -93,7 +120,7 @@
* [UInt64Field](class_reference.md#uint64field)
* [UInt8Field](class_reference.md#uint8field)
* [UUIDField](class_reference.md#uuidfield)
* [infi.clickhouse_orm.engines](class_reference.md#infi.clickhouse_orm.engines)
* [infi.clickhouse_orm.engines](class_reference.md#inficlickhouse_ormengines)
* [Engine](class_reference.md#engine)
* [TinyLog](class_reference.md#tinylog)
* [Log](class_reference.md#log)
@ -105,7 +132,10 @@
* [CollapsingMergeTree](class_reference.md#collapsingmergetree)
* [SummingMergeTree](class_reference.md#summingmergetree)
* [ReplacingMergeTree](class_reference.md#replacingmergetree)
* [infi.clickhouse_orm.query](class_reference.md#infi.clickhouse_orm.query)
* [infi.clickhouse_orm.query](class_reference.md#inficlickhouse_ormquery)
* [QuerySet](class_reference.md#queryset)
* [AggregateQuerySet](class_reference.md#aggregatequeryset)
* [Q](class_reference.md#q)
* [infi.clickhouse_orm.funcs](class_reference.md#inficlickhouse_ormfuncs)
* [F](class_reference.md#f)

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What's New in Version 2
=======================
## Python 3.5+ Only
This version of the ORM no longer support Python 2.
## New flexible syntax for database expressions and functions
Expressions that use model fields, database functions and Python operators are now first-class citizens of the ORM. They provide infinite expressivity and flexibility when defining models and generating queries.
Example of expressions in model definition:
```python
class Temperature(Model):
station_id = UInt16Field()
timestamp = DateTimeField(default=F.now()) # function as default value
degrees_celsius = Float32Field()
degrees_fahrenheit = Float32Field(alias=degrees_celsius * 1.8 + 32) # expression as field alias
# expressions in engine definition
engine = MergeTree(partition_key=[F.toYYYYMM(timestamp)], order_by=[station_id, timestamp])
```
Example of expressions in queries:
```python
db = Database('default')
start = F.toStartOfMonth(F.now())
expr = (Temperature.timestamp > start) & (Temperature.station_id == 123) & (Temperature.degrees_celsius > 30)
for t in Temperature.objects_in(db).filter(expr):
print(t.timestamp, t.degrees_celsius)
```
See [Expressions](expressions.md).
## Support for IPv4 and IPv6 fields
Two new fields classes were added: `IPv4Field` and `IPv6Field`. Their values are represented by Python's `ipaddress.IPv4Address` and `ipaddress.IPv6Address`.
See [Field Types](field_types.md).
## Automatic generation of models by inspecting existing tables
It is now easy to generate a model class on the fly for an existing table in the database using `Database.get_model_for_table`. This is particularly useful for querying system tables, for example:
```python
QueryLog = db.get_model_for_table('query_log', system_table=True)
for row in QueryLog.objects_in(db).filter(QueryLog.query_duration_ms > 10000):
print(row.query)
```
## Convenient ways to import ORM classes
You can now import all ORM classes directly from `infi.clickhouse_orm`, without worrying about sub-modules. For example:
```python
from infi.clickhouse_orm import Database, Model, StringField, DateTimeField, MergeTree
```
See [Importing ORM Classes](importing_orm_classes.md).

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# CPU Usage
This basic example uses `psutil` to collect a simple time-series of per-CPU usage percent. It then prints out some aggregate statistics based on the collected data.
## Running the code
Create a virtualenv and install the required libraries:
```
virtualenv -p python3.6 env
source env/bin/activate
pip install -r requirements.txt
```
Run the `collect` script to populate the database with the CPU statistics. Let it run for a bit before pressing CTRL+C.
```
python collect.py
```
Run the `results` script to display the CPU statistics:
```
python results.py
```

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@ -0,0 +1,20 @@
import psutil, time, datetime
from infi.clickhouse_orm import Database
from models import CPUStats
db = Database('demo')
db.create_table(CPUStats)
psutil.cpu_percent(percpu=True) # first sample should be discarded
while True:
time.sleep(1)
stats = psutil.cpu_percent(percpu=True)
timestamp = datetime.datetime.now()
print(timestamp)
db.insert([
CPUStats(timestamp=timestamp, cpu_id=cpu_id, cpu_percent=cpu_percent)
for cpu_id, cpu_percent in enumerate(stats)
])

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from infi.clickhouse_orm import Model, DateTimeField, UInt16Field, Float32Field, Memory
class CPUStats(Model):
timestamp = DateTimeField()
cpu_id = UInt16Field()
cpu_percent = Float32Field()
engine = Memory()

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infi.clickhouse_orm
psutil

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from infi.clickhouse_orm import Database, F
from models import CPUStats
db = Database('demo')
queryset = CPUStats.objects_in(db)
total = queryset.filter(CPUStats.cpu_id == 1).count()
busy = queryset.filter(CPUStats.cpu_id == 1, CPUStats.cpu_percent > 95).count()
print('CPU 1 was busy {:.2f}% of the time'.format(busy * 100.0 / total))
# Calculate the average usage per CPU
for row in queryset.aggregate(CPUStats.cpu_id, average=F.avg(CPUStats.cpu_percent)):
print('CPU {row.cpu_id}: {row.average:.2f}%'.format(row=row))

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# DB Explorer
This is a simple Flask web application that connects to ClickHouse and displays the list of existing databases. Clicking on a database name drills down into it, showing its list of tables. Clicking on a table drills down further, showing details about the table and its columns.
For each table or column, the application displays the compressed size on disk, the uncompressed size, and the ratio between them. Additionally, several pie charts are shown - top tables by size, top tables by rows, and top columns by size (in a table).
The pie charts are generated using the `pygal` charting library.
ORM concepts that are demonstrated by this example:
- Creating ORM models from existing tables using `Database.get_model_for_table`
- Queryset filtering
- Queryset aggregation
## Running the code
Create a virtualenv and install the required libraries:
```
virtualenv -p python3.6 env
source env/bin/activate
pip install -r requirements.txt
```
Run the server and open http://127.0.0.1:5000/ in your browser:
```
python server.py
```
By default the server connects to ClickHouse running on http://localhost:8123/ without a username or password, but you can change this using command line arguments:
```
python server.py http://myclickhouse:8123/
```
or:
```
python server.py http://myclickhouse:8123/ admin secret123
```

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@ -0,0 +1,62 @@
import pygal
from pygal.style import RotateStyle
from jinja2.filters import do_filesizeformat
# Formatting functions
number_formatter = lambda v: '{:,}'.format(v)
bytes_formatter = lambda v: do_filesizeformat(v, True)
def tables_piechart(db, by_field, value_formatter):
'''
Generate a pie chart of the top n tables in the database.
`db` - the database instance
`by_field` - the field name to sort by
`value_formatter` - a function to use for formatting the numeric values
'''
Tables = db.get_model_for_table('tables', system_table=True)
qs = Tables.objects_in(db).filter(database=db.db_name, is_temporary=False).exclude(engine='Buffer')
tuples = [(getattr(table, by_field), table.name) for table in qs]
return _generate_piechart(tuples, value_formatter)
def columns_piechart(db, tbl_name, by_field, value_formatter):
'''
Generate a pie chart of the top n columns in the table.
`db` - the database instance
`tbl_name` - the table name
`by_field` - the field name to sort by
`value_formatter` - a function to use for formatting the numeric values
'''
ColumnsTable = db.get_model_for_table('columns', system_table=True)
qs = ColumnsTable.objects_in(db).filter(database=db.db_name, table=tbl_name)
tuples = [(getattr(col, by_field), col.name) for col in qs]
return _generate_piechart(tuples, value_formatter)
def _get_top_tuples(tuples, n=15):
'''
Given a list of tuples (value, name), this function sorts
the list and returns only the top n results. All other tuples
are aggregated to a single "others" tuple.
'''
non_zero_tuples = [t for t in tuples if t[0]]
sorted_tuples = sorted(non_zero_tuples, reverse=True)
if len(sorted_tuples) > n:
others = (sum(t[0] for t in sorted_tuples[n:]), 'others')
sorted_tuples = sorted_tuples[:n] + [others]
return sorted_tuples
def _generate_piechart(tuples, value_formatter):
'''
Generates a pie chart.
`tuples` - a list of (value, name) tuples to include in the chart
`value_formatter` - a function to use for formatting the values
'''
style = RotateStyle('#9e6ffe', background='white', legend_font_family='Roboto', legend_font_size=18, tooltip_font_family='Roboto', tooltip_font_size=24)
chart = pygal.Pie(style=style, margin=0, title=' ', value_formatter=value_formatter, truncate_legend=-1)
for t in _get_top_tuples(tuples):
chart.add(t[1], t[0])
return chart.render(is_unicode=True, disable_xml_declaration=True)

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certifi==2020.4.5.2
chardet==3.0.4
click==7.1.2
Flask==1.1.2
idna==2.9
infi.clickhouse-orm==2.0.1
iso8601==0.1.12
itsdangerous==1.1.0
Jinja2==2.11.3
MarkupSafe==1.1.1
pygal==2.4.0
pytz==2020.1
requests==2.23.0
urllib3==1.26.5
Werkzeug==1.0.1

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from infi.clickhouse_orm import Database, F
from charts import tables_piechart, columns_piechart, number_formatter, bytes_formatter
from flask import Flask
from flask import render_template
import sys
app = Flask(__name__)
@app.route('/')
def homepage_view():
'''
Root view that lists all databases.
'''
db = _get_db('system')
# Get all databases in the system.databases table
DatabasesTable = db.get_model_for_table('databases', system_table=True)
databases = DatabasesTable.objects_in(db).exclude(name='system')
databases = databases.order_by(F.lower(DatabasesTable.name))
# Generate the page
return render_template('homepage.html', db=db, databases=databases)
@app.route('/<db_name>/')
def database_view(db_name):
'''
A view that displays information about a single database.
'''
db = _get_db(db_name)
# Get all the tables in the database, by aggregating information from system.columns
ColumnsTable = db.get_model_for_table('columns', system_table=True)
tables = ColumnsTable.objects_in(db).filter(database=db_name).aggregate(
ColumnsTable.table,
compressed_size=F.sum(ColumnsTable.data_compressed_bytes),
uncompressed_size=F.sum(ColumnsTable.data_uncompressed_bytes),
ratio=F.sum(ColumnsTable.data_uncompressed_bytes) / F.sum(ColumnsTable.data_compressed_bytes)
)
tables = tables.order_by(F.lower(ColumnsTable.table))
# Generate the page
return render_template('database.html',
db=db,
tables=tables,
tables_piechart_by_rows=tables_piechart(db, 'total_rows', value_formatter=number_formatter),
tables_piechart_by_size=tables_piechart(db, 'total_bytes', value_formatter=bytes_formatter),
)
@app.route('/<db_name>/<tbl_name>/')
def table_view(db_name, tbl_name):
'''
A view that displays information about a single table.
'''
db = _get_db(db_name)
# Get table information from system.tables
TablesTable = db.get_model_for_table('tables', system_table=True)
tbl_info = TablesTable.objects_in(db).filter(database=db_name, name=tbl_name)[0]
# Get the SQL used for creating the table
create_table_sql = db.raw('SHOW CREATE TABLE %s FORMAT TabSeparatedRaw' % tbl_name)
# Get all columns in the table from system.columns
ColumnsTable = db.get_model_for_table('columns', system_table=True)
columns = ColumnsTable.objects_in(db).filter(database=db_name, table=tbl_name)
# Generate the page
return render_template('table.html',
db=db,
tbl_name=tbl_name,
tbl_info=tbl_info,
create_table_sql=create_table_sql,
columns=columns,
piechart=columns_piechart(db, tbl_name, 'data_compressed_bytes', value_formatter=bytes_formatter),
)
def _get_db(db_name):
'''
Returns a Database instance using connection information
from the command line arguments (optional).
'''
db_url = sys.argv[1] if len(sys.argv) > 1 else 'http://localhost:8123/'
username = sys.argv[2] if len(sys.argv) > 2 else None
password = sys.argv[3] if len(sys.argv) > 3 else None
return Database(db_name, db_url, username, password, readonly=True)
if __name__ == '__main__':
_get_db('system') # fail early on db connection problems
app.run(debug=True)

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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>ClickHouse Explorer</title>
<link rel="icon" href="data:,">
<link rel="stylesheet" href="https://fonts.googleapis.com/css?family=Roboto:300,300italic,700,700italic">
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/normalize/8.0.1/normalize.css">
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/milligram/1.4.0/milligram.css">
<script type="text/javascript" src="http://kozea.github.com/pygal.js/latest/pygal-tooltips.min.js"></script>
</head>
<body>
<div class="container">
{% block contents %}
{% endblock %}
</div>
</body>
</html>

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{% extends "base.html" %}
{% block contents %}
<h1>{{ db.db_name }}</h1>
<p>
<a href="..">Home</a>
&raquo;
{{ db.db_name }}
</p>
<div class="row">
<div class="column">
<h2>Top Tables by Size</h2>
{% autoescape false %}
{{ tables_piechart_by_size }}
{% endautoescape %}
</div>
<div class="column">
<h2>Top Tables by Rows</h2>
{% autoescape false %}
{{ tables_piechart_by_rows }}
{% endautoescape %}
</div>
</div>
<h2>Tables ({{ tables.count() }})</h2>
<table>
<thead>
<tr>
<th>Name</th>
<th>Uncompressed Size</th>
<th>Compressed Size</th>
<th>Compression Ratio</th>
</tr>
</thead>
<tbody>
{% for table in tables %}
<tr>
<td><a href="{{ table.table|urlencode }}/">{{ table.table }}</a></th>
<td>{{ table.uncompressed_size|filesizeformat(true) }}</td>
<td>{{ table.compressed_size|filesizeformat(true) }}</td>
<td>{% if table.uncompressed_size %} {{ "%.2f" % table.ratio }} {% else %} 1 {% endif %} : 1</td>
</tr>
{% endfor %}
</tbody>
</table>
{% endblock %}

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{% extends "base.html" %}
{% block contents %}
<div class="row">
<div class="column-50">
<h1>ClickHouse Explorer</h1>
<table>
<tr>
<th>URL</th>
<td>{{ db.db_url }}</td>
</tr>
<tr>
<th>Version</th>
<td>{{ db.server_version|join('.') }}</td>
</tr>
<tr>
<th>Timezone</th>
<td>{{ db.server_timezone }}</td>
</tr>
</table>
<h2>Databases ({{ databases.count() }})</h2>
<ul>
{% for d in databases %}
<li>
<a href="{{ d.name|urlencode }}/">{{ d.name }}</a>
</li>
{% endfor %}
</ul>
</div>
</div>
{% endblock %}

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{% extends "base.html" %}
{% block contents %}
<p>
<a href="../..">Home</a>
&raquo;
<a href="..">{{ db.db_name }}</a>
&raquo;
{{ tbl_name }}
</p>
<h1>{{ tbl_name }}</h1>
<div class="row">
<div class="column">
<h2>Details</h2>
<table>
<tr>
<th>Total rows</th>
<td>{{ "{:,}".format(tbl_info.total_rows) }}</td>
</tr>
<tr>
<th>Total size</th>
<td>{{ tbl_info.total_bytes|filesizeformat(true) }}</td>
</tr>
{% if tbl_info.total_rows %}
<tr>
<th>Average row size</th>
<td>{{ (tbl_info.total_bytes / tbl_info.total_rows)|filesizeformat(true) }}</td>
</tr>
{% endif %}
<tr>
<th>Engine</th>
<td>{{ tbl_info.engine }}</td>
</tr>
</table>
</div>
<div class="column">
<h2>Top Columns by Size</h2>
{% autoescape false %}
{{ piechart }}
{% endautoescape %}
</div>
</div>
<h2>Columns ({{ columns.count() }})</h2>
<table>
<thead>
<tr>
<th>Name</th>
<th>Type</th>
<th>Uncompressed Size</th>
<th>Compressed Size</th>
<th>Compression Ratio</th>
</tr>
</thead>
<tbody>
{% for col in columns %}
<tr>
<td>{{ col.name }}</td>
<td>{{ col.type }}</td>
<td>{{ col.data_uncompressed_bytes|filesizeformat(true) }}</td>
<td>{{ col.data_compressed_bytes|filesizeformat(true) }}</td>
<td>{% if col.data_compressed_bytes %} {{ "%.2f" % (col.data_uncompressed_bytes / col.data_compressed_bytes) }} {% else %} 1 {% endif %} : 1</td>
</tr>
{% endfor %}
</tbody>
</table>
<h2>Table Definition</h2>
<pre><code>{{ create_table_sql }}</code></pre>
{% endblock %}

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/ebooks/
/env/

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# Full Text Search
This example shows how ClickHouse might be used for searching for word sequences in texts. It's a nice proof of concept, but for production use there are probably better solutions, such as Elasticsearch.
## Running the code
Create a virtualenv and install the required libraries:
```
virtualenv -p python3.6 env
source env/bin/activate
pip install -r requirements.txt
```
Run the `download_ebooks` script to download a dozen classical books from [The Gutenberg Project](http://www.gutenberg.org/):
```
python download_ebooks.py
```
Run the `load` script to populate the database with the downloaded texts:
```
python load.py
```
And finally, run the full text search:
```
python search.py "cheshire cat"
```
Asterisks can be used as wildcards (each asterisk stands for one word):
```
python search.py "much * than"
```
## How it works
The `models.py` file defines an ORM model for storing each word in the indexed texts:
```python
class Fragment(Model):
language = LowCardinalityField(StringField(default='EN'))
document = LowCardinalityField(StringField())
idx = UInt64Field()
word = StringField()
stem = StringField()
# An index for faster search by document and fragment idx
index = Index((document, idx), type=Index.minmax(), granularity=1)
# The primary key allows efficient lookup of stems
engine = MergeTree(order_by=(stem, document, idx), partition_key=('language',))
```
The `document` (name) and `idx` (running number of the word inside the document) fields identify the specific word. The `word` field stores the original word as it appears in the text, while the `stem` contains the word after normalization, and that's the field which is used for matching the search terms. Stemming the words makes the matching less strict, so that searching for "swallowed" will also find documents that mention "swallow" or "swallowing".
Here's what some records in the fragment table might look like:
| language | document | idx | word | stem |
|----------|-------------------------|------|------------------|---------------|
| EN | Moby Dick; or The Whale | 4510 | whenever | whenev |
| EN | Moby Dick; or The Whale | 4511 | it | it |
| EN | Moby Dick; or The Whale | 4512 | is | is |
| EN | Moby Dick; or The Whale | 4513 | a | a |
| EN | Moby Dick; or The Whale | 4514 | damp, | damp |
| EN | Moby Dick; or The Whale | 4515 | drizzly | drizzli |
| EN | Moby Dick; or The Whale | 4516 | November | novemb |
| EN | Moby Dick; or The Whale | 4517 | in | in |
| EN | Moby Dick; or The Whale | 4518 | my | my |
| EN | Moby Dick; or The Whale | 4519 | soul; | soul |
Let's say we're looking for the terms "drizzly November". Finding the first in the sequence (after stemming it) is fast and easy:
```python
query = Fragment.objects_in(db).filter(stem='drizzli').only(Fragment.document, Fragment.idx)
```
We're interested only in the `document` and `idx` fields, since they identify a specific word.
To find the next word in the search terms, we need a subquery similar to the first one, with an additional condition that its index will be one greater than the index of the first word:
```python
subquery = Fragment.objects_in(db).filter(stem='novemb').only(Fragment.document, Fragment.idx)
query = query.filter(F.isIn((Fragment.document, Fragment.idx + 1), subquery))
```
And so on, by adding another subquery for each additional search term we can construct the whole sequence of words.
As for wildcard support, when encountering a wildcard in the search terms we simply skip it - it does not need a subquery (since it can match any word). It only increases the index count so that the query conditions will "skip" one word in the sequence.
The algorithm for building this compound query can be found in the `build_query` function.

View File

@ -0,0 +1,27 @@
import requests
import os
def download_ebook(id):
print(id, end=' ')
# Download the ebook's text
r = requests.get('https://www.gutenberg.org/files/{id}/{id}-0.txt'.format(id=id))
if r.status_code == 404:
print('NOT FOUND, SKIPPING')
return
r.raise_for_status()
# Find the ebook's title
text = r.content.decode('utf-8')
for line in text.splitlines():
if line.startswith('Title:'):
title = line[6:].strip()
print(title)
# Save the ebook
with open('ebooks/{}.txt'.format(title), 'wb') as f:
f.write(r.content)
if __name__ == "__main__":
os.makedirs('ebooks', exist_ok=True)
for i in [1342, 11, 84, 2701, 25525, 1661, 98, 74, 43, 215, 1400, 76]:
download_ebook(i)

View File

@ -0,0 +1,61 @@
import sys
import nltk
from nltk.stem.porter import PorterStemmer
from glob import glob
from infi.clickhouse_orm import Database
from models import Fragment
def trim_punctuation(word):
'''
Trim punctuation characters from the beginning and end of the word
'''
start = end = len(word)
for i in range(len(word)):
if word[i].isalnum():
start = min(start, i)
end = i + 1
return word[start : end]
def parse_file(filename):
'''
Parses a text file at the give path.
Returns a generator of tuples (original_word, stemmed_word)
The original_word may include punctuation characters.
'''
stemmer = PorterStemmer()
with open(filename, 'r', encoding='utf-8') as f:
for line in f:
for word in line.split():
yield (word, stemmer.stem(trim_punctuation(word)))
def get_fragments(filename):
'''
Converts a text file at the given path to a generator
of Fragment instances.
'''
from os import path
document = path.splitext(path.basename(filename))[0]
idx = 0
for word, stem in parse_file(filename):
idx += 1
yield Fragment(document=document, idx=idx, word=word, stem=stem)
print('{} - {} words'.format(filename, idx))
if __name__ == '__main__':
# Load NLTK data if necessary
nltk.download('punkt')
nltk.download('wordnet')
# Initialize database
db = Database('default')
db.create_table(Fragment)
# Load files from the command line or everything under ebooks/
filenames = sys.argv[1:] or glob('ebooks/*.txt')
for filename in filenames:
db.insert(get_fragments(filename), batch_size=100000)

View File

@ -0,0 +1,16 @@
from infi.clickhouse_orm import *
class Fragment(Model):
language = LowCardinalityField(StringField(), default='EN')
document = LowCardinalityField(StringField())
idx = UInt64Field()
word = StringField()
stem = StringField()
# An index for faster search by document and fragment idx
index = Index((document, idx), type=Index.minmax(), granularity=1)
# The primary key allows efficient lookup of stems
engine = MergeTree(order_by=(stem, document, idx), partition_key=('language',))

View File

@ -0,0 +1,4 @@
infi.clickhouse_orm
nltk
requests
colorama

View File

@ -0,0 +1,90 @@
import sys
from colorama import init, Fore, Back, Style
from nltk.stem.porter import PorterStemmer
from infi.clickhouse_orm import Database, F
from models import Fragment
from load import trim_punctuation
# The wildcard character
WILDCARD = '*'
def prepare_search_terms(text):
'''
Convert the text to search into a list of stemmed words.
'''
stemmer = PorterStemmer()
stems = []
for word in text.split():
if word == WILDCARD:
stems.append(WILDCARD)
else:
stems.append(stemmer.stem(trim_punctuation(word)))
return stems
def build_query(db, stems):
'''
Returns a queryset instance for finding sequences of Fragment instances
that matche the list of stemmed words.
'''
# Start by searching for the first stemmed word
all_fragments = Fragment.objects_in(db)
query = all_fragments.filter(stem=stems[0]).only(Fragment.document, Fragment.idx)
# Add the following words to the queryset
for i, stem in enumerate(stems):
# Skip the first word (it's already in the query), and wildcards
if i == 0 or stem == WILDCARD:
continue
# Create a subquery that finds instances of the i'th word
subquery = all_fragments.filter(stem=stem).only(Fragment.document, Fragment.idx)
# Add it to the query, requiring that it will appear i places away from the first word
query = query.filter(F.isIn((Fragment.document, Fragment.idx + i), subquery))
# Sort the results
query = query.order_by(Fragment.document, Fragment.idx)
return query
def get_matching_text(db, document, from_idx, to_idx, extra=5):
'''
Reconstructs the document text between the given indexes (inclusive),
plus `extra` words before and after the match. The words that are
included in the given range are highlighted in green.
'''
text = []
conds = (Fragment.document == document) & (Fragment.idx >= from_idx - extra) & (Fragment.idx <= to_idx + extra)
for fragment in Fragment.objects_in(db).filter(conds).order_by('document', 'idx'):
word = fragment.word
if fragment.idx == from_idx:
word = Fore.GREEN + word
if fragment.idx == to_idx:
word = word + Style.RESET_ALL
text.append(word)
return ' '.join(text)
def find(db, text):
'''
Performs the search for the given text, and prints out the matches.
'''
stems = prepare_search_terms(text)
query = build_query(db, stems)
print('\n' + Fore.MAGENTA + str(query) + Style.RESET_ALL + '\n')
for match in query:
text = get_matching_text(db, match.document, match.idx, match.idx + len(stems) - 1)
print(Fore.CYAN + match.document + ':' + Style.RESET_ALL, text)
if __name__ == '__main__':
# Initialize colored output
init()
# Initialize database
db = Database('default')
# Search
text = ' '.join(sys.argv[1:])
if text:
find(db, text)

View File

@ -52,8 +52,6 @@ def get_method_sig(method):
default_arg = _get_default_arg(argspec.args, argspec.defaults, arg_index)
if default_arg.has_default:
val = default_arg.default_value
if isinstance(val, basestring):
val = '"' + val + '"'
args.append("%s=%s" % (arg, val))
else:
args.append(arg)
@ -73,45 +71,45 @@ def docstring(obj):
indentation = min(len(line) - len(line.lstrip()) for line in lines if line.strip())
# Output the lines without the indentation
for line in lines:
print line[indentation:]
print
print(line[indentation:])
print()
def class_doc(cls, list_methods=True):
bases = ', '.join([b.__name__ for b in cls.__bases__])
print '###', cls.__name__
print
print('###', cls.__name__)
print()
if bases != 'object':
print 'Extends', bases
print
print('Extends', bases)
print()
docstring(cls)
for name, method in inspect.getmembers(cls, inspect.ismethod):
for name, method in inspect.getmembers(cls, lambda m: inspect.ismethod(m) or inspect.isfunction(m)):
if name == '__init__':
# Initializer
print '####', get_method_sig(method).replace(name, cls.__name__)
print('####', get_method_sig(method).replace(name, cls.__name__))
elif name[0] == '_':
# Private method
continue
elif method.__self__ == cls:
elif hasattr(method, '__self__') and method.__self__ == cls:
# Class method
if not list_methods:
continue
print '#### %s.%s' % (cls.__name__, get_method_sig(method))
print('#### %s.%s' % (cls.__name__, get_method_sig(method)))
else:
# Regular method
if not list_methods:
continue
print '####', get_method_sig(method)
print
print('####', get_method_sig(method))
print()
docstring(method)
print
print()
def module_doc(classes, list_methods=True):
mdl = classes[0].__module__
print mdl
print '-' * len(mdl)
print
print(mdl)
print('-' * len(mdl))
print()
for cls in classes:
class_doc(cls, list_methods)
@ -127,12 +125,16 @@ if __name__ == '__main__':
from infi.clickhouse_orm import engines
from infi.clickhouse_orm import models
from infi.clickhouse_orm import query
from infi.clickhouse_orm import funcs
from infi.clickhouse_orm import system_models
print 'Class Reference'
print '==============='
print
print('Class Reference')
print('===============')
print()
module_doc([database.Database, database.DatabaseException])
module_doc([models.Model, models.BufferModel, models.DistributedModel])
module_doc([models.Model, models.BufferModel, models.MergeModel, models.DistributedModel, models.Constraint, models.Index])
module_doc(sorted([fields.Field] + all_subclasses(fields.Field), key=lambda x: x.__name__), False)
module_doc([engines.Engine] + all_subclasses(engines.Engine), False)
module_doc([query.QuerySet, query.AggregateQuerySet])
module_doc([query.QuerySet, query.AggregateQuerySet, query.Q])
module_doc([funcs.F])
module_doc([system_models.SystemPart])

View File

@ -9,6 +9,7 @@ printf "# Table of Contents\n\n" > toc.md
generate_one "index.md"
generate_one "models_and_databases.md"
generate_one "querysets.md"
generate_one "field_options.md"
generate_one "field_types.md"
generate_one "table_engines.md"
generate_one "schema_migrations.md"

View File

@ -1,4 +1,4 @@
from HTMLParser import HTMLParser
from html.parser import HTMLParser
import sys
@ -17,8 +17,8 @@ class HeadersToMarkdownParser(HTMLParser):
def handle_endtag(self, tag):
if tag.lower() in HEADER_TAGS:
indent = ' ' * int(self.inside[1])
fragment = self.text.lower().replace(' ', '-')
print '%s* [%s](%s#%s)' % (indent, self.text, sys.argv[1], fragment)
fragment = self.text.lower().replace(' ', '-').replace('.', '')
print('%s* [%s](%s#%s)' % (indent, self.text, sys.argv[1], fragment))
self.inside = None
self.text = ''
@ -28,4 +28,4 @@ class HeadersToMarkdownParser(HTMLParser):
HeadersToMarkdownParser().feed(sys.stdin.read())
print
print('')

View File

@ -1 +1,13 @@
__import__("pkg_resources").declare_namespace(__name__)
from infi.clickhouse_orm.database import *
from infi.clickhouse_orm.engines import *
from infi.clickhouse_orm.fields import *
from infi.clickhouse_orm.funcs import *
from infi.clickhouse_orm.migrations import *
from infi.clickhouse_orm.models import *
from infi.clickhouse_orm.query import *
from infi.clickhouse_orm.system_models import *
from inspect import isclass
__all__ = [c.__name__ for c in locals().values() if isclass(c)]

View File

@ -8,7 +8,6 @@ from .utils import escape, parse_tsv, import_submodules
from math import ceil
import datetime
from string import Template
from six import PY3, string_types
import pytz
import logging
@ -52,6 +51,11 @@ class ServerError(DatabaseException):
Code:\ (?P<code>\d+),
\ e\.displayText\(\)\ =\ (?P<type1>[^ \n]+):\ (?P<msg>.+)
''', re.VERBOSE | re.DOTALL),
# ClickHouse v21+
re.compile(r'''
Code:\ (?P<code>\d+).
\ (?P<type1>[^ \n]+):\ (?P<msg>.+)
''', re.VERBOSE | re.DOTALL),
)
@classmethod
@ -120,6 +124,10 @@ class Database(object):
self.server_version = self._get_server_version()
# Versions 1.1.53981 and below don't have timezone function
self.server_timezone = self._get_server_timezone() if self.server_version > (1, 1, 53981) else pytz.utc
# Versions 19.1.16 and above support codec compression
self.has_codec_support = self.server_version >= (19, 1, 16)
# Version 19.0 and above support LowCardinality
self.has_low_cardinality_support = self.server_version >= (19, 0)
def create_database(self):
'''
@ -162,6 +170,24 @@ class Database(object):
r = self._send(sql % (self.db_name, model_class.table_name()))
return r.text.strip() == '1'
def get_model_for_table(self, table_name, system_table=False):
'''
Generates a model class from an existing table in the database.
This can be used for querying tables which don't have a corresponding model class,
for example system tables.
- `table_name`: the table to create a model for
- `system_table`: whether the table is a system table, or belongs to the current database
'''
db_name = 'system' if system_table else self.db_name
sql = "DESCRIBE `%s`.`%s` FORMAT TSV" % (db_name, table_name)
lines = self._send(sql).iter_lines()
fields = [parse_tsv(line)[:2] for line in lines]
model = ModelBase.create_ad_hoc_model(fields, table_name)
if system_table:
model._system = model._readonly = True
return model
def add_setting(self, name, value):
'''
Adds a database setting that will be sent with every request.
@ -170,7 +196,7 @@ class Database(object):
The name must be string, and the value is converted to string in case
it isn't. To remove a setting, pass `None` as the value.
'''
assert isinstance(name, string_types), 'Setting name must be a string'
assert isinstance(name, str), 'Setting name must be a string'
if value is None:
self.settings.pop(name, None)
else:
@ -183,7 +209,6 @@ class Database(object):
- `model_instances`: any iterable containing instances of a single model class.
- `batch_size`: number of records to send per chunk (use a lower number if your records are very large).
'''
from six import next
from io import BytesIO
i = iter(model_instances)
try:
@ -197,20 +222,19 @@ class Database(object):
fields_list = ','.join(
['`%s`' % name for name in first_instance.fields(writable=True)])
fmt = 'TSKV' if model_class.has_funcs_as_defaults() else 'TabSeparated'
query = 'INSERT INTO $table (%s) FORMAT %s\n' % (fields_list, fmt)
def gen():
buf = BytesIO()
query = 'INSERT INTO $table (%s) FORMAT TabSeparated\n' % fields_list
buf.write(self._substitute(query, model_class).encode('utf-8'))
first_instance.set_database(self)
buf.write(first_instance.to_tsv(include_readonly=False).encode('utf-8'))
buf.write('\n'.encode('utf-8'))
buf.write(first_instance.to_db_string())
# Collect lines in batches of batch_size
lines = 2
for instance in i:
instance.set_database(self)
buf.write(instance.to_tsv(include_readonly=False).encode('utf-8'))
buf.write('\n'.encode('utf-8'))
buf.write(instance.to_db_string())
lines += 1
if lines >= batch_size:
# Return the current batch of lines
@ -230,9 +254,12 @@ class Database(object):
- `model_class`: the model to count.
- `conditions`: optional SQL conditions (contents of the WHERE clause).
'''
from infi.clickhouse_orm.query import Q
query = 'SELECT count() FROM $table'
if conditions:
query += ' WHERE ' + conditions
if isinstance(conditions, Q):
conditions = conditions.to_sql(model_class)
query += ' WHERE ' + str(conditions)
query = self._substitute(query, model_class)
r = self._send(query)
return int(r.text) if r.text else 0
@ -284,6 +311,7 @@ class Database(object):
The result is a namedtuple containing `objects` (list), `number_of_objects`,
`pages_total`, `number` (of the current page), and `page_size`.
'''
from infi.clickhouse_orm.query import Q
count = self.count(model_class, conditions)
pages_total = int(ceil(count / float(page_size)))
if page_num == -1:
@ -291,9 +319,12 @@ class Database(object):
elif page_num < 1:
raise ValueError('Invalid page number: %d' % page_num)
offset = (page_num - 1) * page_size
query = 'SELECT * FROM $table'
query = 'SELECT {} FROM $table'.format(", ".join(model_class.fields().keys()))
if conditions:
query += ' WHERE ' + conditions
if isinstance(conditions, Q):
conditions = conditions.to_sql(model_class)
query += ' WHERE ' + str(conditions)
query += ' ORDER BY %s' % order_by
query += ' LIMIT %d, %d' % (offset, page_size)
query = self._substitute(query, model_class)
@ -334,7 +365,7 @@ class Database(object):
return set(obj.module_name for obj in self.select(query))
def _send(self, data, settings=None, stream=False):
if isinstance(data, string_types):
if isinstance(data, str):
data = data.encode('utf-8')
if self.log_statements:
logger.info(data)
@ -362,7 +393,7 @@ class Database(object):
mapping = dict(db="`%s`" % self.db_name)
if model_class:
if model_class.is_system_model():
mapping['table'] = model_class.table_name()
mapping['table'] = "`system`.`%s`" % model_class.table_name()
else:
mapping['table'] = "`%s`.`%s`" % (self.db_name, model_class.table_name())
query = Template(query).safe_substitute(mapping)
@ -383,7 +414,7 @@ class Database(object):
except ServerError as e:
logger.exception('Cannot determine server version (%s), assuming 1.1.0', e)
ver = '1.1.0'
return tuple(int(n) for n in ver.split('.')) if as_tuple else ver
return tuple(int(n) for n in ver.split('.') if n.isdigit()) if as_tuple else ver
def _is_existing_database(self):
r = self._send("SELECT count() FROM system.databases WHERE name = '%s'" % self.db_name)
@ -392,3 +423,7 @@ class Database(object):
def _is_connection_readonly(self):
r = self._send("SELECT value FROM system.settings WHERE name = 'readonly'")
return r.text.strip() != '0'
# Expose only relevant classes in import *
__all__ = [c.__name__ for c in [Page, DatabaseException, ServerError, Database]]

View File

@ -1,9 +1,8 @@
from __future__ import unicode_literals
import logging
import six
from .utils import comma_join
from .utils import comma_join, get_subclass_names
logger = logging.getLogger('clickhouse_orm')
@ -35,12 +34,14 @@ class Memory(Engine):
class MergeTree(Engine):
def __init__(self, date_col=None, order_by=(), sampling_expr=None,
index_granularity=8192, replica_table_path=None, replica_name=None, partition_key=None):
index_granularity=8192, replica_table_path=None, replica_name=None, partition_key=None,
primary_key=None):
assert type(order_by) in (list, tuple), 'order_by must be a list or tuple'
assert date_col is None or isinstance(date_col, six.string_types), 'date_col must be string if present'
assert date_col is None or isinstance(date_col, str), 'date_col must be string if present'
assert primary_key is None or type(primary_key) in (list, tuple), 'primary_key must be a list or tuple'
assert partition_key is None or type(partition_key) in (list, tuple),\
'partition_key must be tuple or list if present'
assert (replica_table_path is None) == (replica_name == None), \
assert (replica_table_path is None) == (replica_name is None), \
'both replica_table_path and replica_name must be specified'
# These values conflict with each other (old and new syntax of table engines.
@ -48,6 +49,7 @@ class MergeTree(Engine):
assert date_col or partition_key, "You must set either date_col or partition_key"
self.date_col = date_col
self.partition_key = partition_key if partition_key else ('toYYYYMM(`%s`)' % date_col,)
self.primary_key = primary_key
self.order_by = order_by
self.sampling_expr = sampling_expr
@ -72,11 +74,15 @@ class MergeTree(Engine):
name = 'Replicated' + name
# In ClickHouse 1.1.54310 custom partitioning key was introduced
# https://clickhouse.yandex/docs/en/table_engines/custom_partitioning_key/
# https://clickhouse.tech/docs/en/table_engines/custom_partitioning_key/
# Let's check version and use new syntax if available
if db.server_version >= (1, 1, 54310):
partition_sql = "PARTITION BY %s ORDER BY %s" \
% ('(%s)' % comma_join(self.partition_key), '(%s)' % comma_join(self.order_by))
partition_sql = "PARTITION BY (%s) ORDER BY (%s)" \
% (comma_join(self.partition_key, stringify=True),
comma_join(self.order_by, stringify=True))
if self.primary_key:
partition_sql += " PRIMARY KEY (%s)" % comma_join(self.primary_key, stringify=True)
if self.sampling_expr:
partition_sql += " SAMPLE BY %s" % self.sampling_expr
@ -88,7 +94,7 @@ class MergeTree(Engine):
from infi.clickhouse_orm.database import DatabaseException
raise DatabaseException("Custom partitioning is not supported before ClickHouse 1.1.54310. "
"Please update your server or use date_col syntax."
"https://clickhouse.yandex/docs/en/table_engines/custom_partitioning_key/")
"https://clickhouse.tech/docs/en/table_engines/custom_partitioning_key/")
else:
partition_sql = ''
@ -101,14 +107,14 @@ class MergeTree(Engine):
params += ["'%s'" % self.replica_table_path, "'%s'" % self.replica_name]
# In ClickHouse 1.1.54310 custom partitioning key was introduced
# https://clickhouse.yandex/docs/en/table_engines/custom_partitioning_key/
# https://clickhouse.tech/docs/en/table_engines/custom_partitioning_key/
# These parameters are process in create_table_sql directly.
# In previous ClickHouse versions this this syntax does not work.
if db.server_version < (1, 1, 54310):
params.append(self.date_col)
if self.sampling_expr:
params.append(self.sampling_expr)
params.append('(%s)' % comma_join(self.order_by))
params.append('(%s)' % comma_join(self.order_by, stringify=True))
params.append(str(self.index_granularity))
return params
@ -117,9 +123,10 @@ class MergeTree(Engine):
class CollapsingMergeTree(MergeTree):
def __init__(self, date_col=None, order_by=(), sign_col='sign', sampling_expr=None,
index_granularity=8192, replica_table_path=None, replica_name=None, partition_key=None):
index_granularity=8192, replica_table_path=None, replica_name=None, partition_key=None,
primary_key=None):
super(CollapsingMergeTree, self).__init__(date_col, order_by, sampling_expr, index_granularity,
replica_table_path, replica_name, partition_key)
replica_table_path, replica_name, partition_key, primary_key)
self.sign_col = sign_col
def _build_sql_params(self, db):
@ -131,9 +138,10 @@ class CollapsingMergeTree(MergeTree):
class SummingMergeTree(MergeTree):
def __init__(self, date_col=None, order_by=(), summing_cols=None, sampling_expr=None,
index_granularity=8192, replica_table_path=None, replica_name=None, partition_key=None):
index_granularity=8192, replica_table_path=None, replica_name=None, partition_key=None,
primary_key=None):
super(SummingMergeTree, self).__init__(date_col, order_by, sampling_expr, index_granularity, replica_table_path,
replica_name, partition_key)
replica_name, partition_key, primary_key)
assert type is None or type(summing_cols) in (list, tuple), 'summing_cols must be a list or tuple'
self.summing_cols = summing_cols
@ -147,9 +155,10 @@ class SummingMergeTree(MergeTree):
class ReplacingMergeTree(MergeTree):
def __init__(self, date_col=None, order_by=(), ver_col=None, sampling_expr=None,
index_granularity=8192, replica_table_path=None, replica_name=None, partition_key=None):
index_granularity=8192, replica_table_path=None, replica_name=None, partition_key=None,
primary_key=None):
super(ReplacingMergeTree, self).__init__(date_col, order_by, sampling_expr, index_granularity,
replica_table_path, replica_name, partition_key)
replica_table_path, replica_name, partition_key, primary_key)
self.ver_col = ver_col
def _build_sql_params(self, db):
@ -163,7 +172,7 @@ class Buffer(Engine):
"""
Buffers the data to write in RAM, periodically flushing it to another table.
Must be used in conjuction with a `BufferModel`.
Read more [here](https://clickhouse.yandex/docs/en/table_engines/buffer/).
Read more [here](https://clickhouse.tech/docs/en/engines/table-engines/special/buffer/).
"""
#Buffer(database, table, num_layers, min_time, max_time, min_rows, max_rows, min_bytes, max_bytes)
@ -194,11 +203,11 @@ class Merge(Engine):
The Merge engine (not to be confused with MergeTree) does not store data itself,
but allows reading from any number of other tables simultaneously.
Writing to a table is not supported
https://clickhouse.yandex/docs/en/single/index.html#document-table_engines/merge
https://clickhouse.tech/docs/en/engines/table-engines/special/merge/
"""
def __init__(self, table_regex):
assert isinstance(table_regex, six.string_types), "'table_regex' parameter must be string"
assert isinstance(table_regex, str), "'table_regex' parameter must be string"
self.table_regex = table_regex
def create_table_sql(self, db):
@ -213,15 +222,15 @@ class Distributed(Engine):
During a read, the table indexes on remote servers are used, if there are any.
See full documentation here
https://clickhouse.yandex/docs/en/table_engines/distributed.html
https://clickhouse.tech/docs/en/engines/table-engines/special/distributed/
"""
def __init__(self, cluster, table=None, sharding_key=None):
"""
:param cluster: what cluster to access data from
:param table: underlying table that actually stores data.
- `cluster`: what cluster to access data from
- `table`: underlying table that actually stores data.
If you are not specifying any table here, ensure that it can be inferred
from your model's superclass (see models.DistributedModel.fix_engine_table)
:param sharding_key: how to distribute data among shards when inserting
- `sharding_key`: how to distribute data among shards when inserting
straightly into Distributed table, optional
"""
self.cluster = cluster
@ -254,3 +263,7 @@ class Distributed(Engine):
if self.sharding_key:
params.append(self.sharding_key)
return params
# Expose only relevant classes in import *
__all__ = get_subclass_names(locals(), Engine)

View File

@ -1,32 +1,39 @@
from __future__ import unicode_literals
from six import string_types, text_type, binary_type, integer_types
import datetime
import iso8601
import pytz
import time
from calendar import timegm
from decimal import Decimal, localcontext
from uuid import UUID
from logging import getLogger
from pytz import BaseTzInfo
from .utils import escape, parse_array, comma_join, string_or_func, get_subclass_names
from .funcs import F, FunctionOperatorsMixin
from ipaddress import IPv4Address, IPv6Address
from .utils import escape, parse_array, comma_join
logger = getLogger('clickhouse_orm')
class Field(object):
class Field(FunctionOperatorsMixin):
'''
Abstract base class for all field types.
'''
creation_counter = 0
class_default = 0
db_type = None
name = None # this is set by the parent model
parent = None # this is set by the parent model
creation_counter = 0 # used for keeping the model fields ordered
class_default = 0 # should be overridden by concrete subclasses
db_type = None # should be overridden by concrete subclasses
def __init__(self, default=None, alias=None, materialized=None, readonly=None):
assert (None, None) in {(default, alias), (alias, materialized), (default, materialized)}, \
def __init__(self, default=None, alias=None, materialized=None, readonly=None, codec=None):
assert [default, alias, materialized].count(None) >= 2, \
"Only one of default, alias and materialized parameters can be given"
assert alias is None or isinstance(alias, string_types) and alias != "",\
"Alias field must be string field name, if given"
assert materialized is None or isinstance(materialized, string_types) and alias != "",\
"Materialized field must be string, if given"
assert alias is None or isinstance(alias, F) or isinstance(alias, str) and alias != "",\
"Alias parameter must be a string or function object, if given"
assert materialized is None or isinstance(materialized, F) or isinstance(materialized, str) and materialized != "",\
"Materialized parameter must be a string or function object, if given"
assert readonly is None or type(readonly) is bool, "readonly parameter must be bool if given"
assert codec is None or isinstance(codec, str) and codec != "", \
"Codec field must be string, if given"
self.creation_counter = Field.creation_counter
Field.creation_counter += 1
@ -34,6 +41,13 @@ class Field(object):
self.alias = alias
self.materialized = materialized
self.readonly = bool(self.alias or self.materialized or readonly)
self.codec = codec
def __str__(self):
return self.name
def __repr__(self):
return '<%s>' % self.__class__.__name__
def to_python(self, value, timezone_in_use):
'''
@ -64,29 +78,49 @@ class Field(object):
'''
return escape(value, quote)
def get_sql(self, with_default_expression=True):
def get_sql(self, with_default_expression=True, db=None):
'''
Returns an SQL expression describing the field (e.g. for CREATE TABLE).
:param with_default_expression: If True, adds default value to sql.
- `with_default_expression`: If True, adds default value to sql.
It doesn't affect fields with alias and materialized values.
- `db`: Database, used for checking supported features.
'''
sql = self.db_type
args = self.get_db_type_args()
if args:
sql += '(%s)' % comma_join(args)
if with_default_expression:
if self.alias:
return '%s ALIAS %s' % (self.db_type, self.alias)
elif self.materialized:
return '%s MATERIALIZED %s' % (self.db_type, self.materialized)
else:
default = self.to_db_string(self.default)
return '%s DEFAULT %s' % (self.db_type, default)
else:
return self.db_type
sql += self._extra_params(db)
return sql
def get_db_type_args(self):
"""Returns field type arguments"""
return []
def _extra_params(self, db):
sql = ''
if self.alias:
sql += ' ALIAS %s' % string_or_func(self.alias)
elif self.materialized:
sql += ' MATERIALIZED %s' % string_or_func(self.materialized)
elif isinstance(self.default, F):
sql += ' DEFAULT %s' % self.default.to_sql()
elif self.default:
default = self.to_db_string(self.default)
sql += ' DEFAULT %s' % default
if self.codec and db and db.has_codec_support and not self.alias:
sql += ' CODEC(%s)' % self.codec
return sql
def isinstance(self, types):
"""
Checks if the instance if one of the types provided or if any of the inner_field child is one of the types
provided, returns True if field or any inner_field is one of ths provided, False otherwise
:param types: Iterable of types to check inclusion of instance
:return: Boolean
- `types`: Iterable of types to check inclusion of instance
Returns: Boolean
"""
if isinstance(self, types):
return True
@ -104,9 +138,9 @@ class StringField(Field):
db_type = 'String'
def to_python(self, value, timezone_in_use):
if isinstance(value, text_type):
if isinstance(value, str):
return value
if isinstance(value, binary_type):
if isinstance(value, bytes):
return value.decode('UTF-8')
raise ValueError('Invalid value for %s: %r' % (self.__class__.__name__, value))
@ -123,7 +157,7 @@ class FixedStringField(StringField):
return value.rstrip('\0')
def validate(self, value):
if isinstance(value, text_type):
if isinstance(value, str):
value = value.encode('UTF-8')
if len(value) > self._length:
raise ValueError('Value of %d bytes is too long for FixedStringField(%d)' % (len(value), self._length))
@ -143,7 +177,7 @@ class DateField(Field):
return value
if isinstance(value, int):
return DateField.class_default + datetime.timedelta(days=value)
if isinstance(value, string_types):
if isinstance(value, str):
if value == '0000-00-00':
return DateField.min_value
return datetime.datetime.strptime(value, '%Y-%m-%d').date()
@ -161,14 +195,28 @@ class DateTimeField(Field):
class_default = datetime.datetime.fromtimestamp(0, pytz.utc)
db_type = 'DateTime'
def __init__(self, default=None, alias=None, materialized=None, readonly=None, codec=None,
timezone=None):
super().__init__(default, alias, materialized, readonly, codec)
# assert not timezone, 'Temporarily field timezone is not supported'
if timezone:
timezone = timezone if isinstance(timezone, BaseTzInfo) else pytz.timezone(timezone)
self.timezone = timezone
def get_db_type_args(self):
args = []
if self.timezone:
args.append(escape(self.timezone.zone))
return args
def to_python(self, value, timezone_in_use):
if isinstance(value, datetime.datetime):
return value.astimezone(pytz.utc) if value.tzinfo else value.replace(tzinfo=pytz.utc)
return value if value.tzinfo else value.replace(tzinfo=pytz.utc)
if isinstance(value, datetime.date):
return datetime.datetime(value.year, value.month, value.day, tzinfo=pytz.utc)
if isinstance(value, int):
return datetime.datetime.utcfromtimestamp(value).replace(tzinfo=pytz.utc)
if isinstance(value, string_types):
if isinstance(value, str):
if value == '0000-00-00 00:00:00':
return self.class_default
if len(value) == 10:
@ -181,18 +229,66 @@ class DateTimeField(Field):
# left the date naive in case of no tzinfo set
dt = iso8601.parse_date(value, default_timezone=None)
except iso8601.ParseError as e:
raise ValueError(text_type(e))
raise ValueError(str(e))
# convert naive to aware
if dt.tzinfo is None or dt.tzinfo.utcoffset(dt) is None:
dt = timezone_in_use.localize(dt)
return dt.astimezone(pytz.utc)
return dt
raise ValueError('Invalid value for %s - %r' % (self.__class__.__name__, value))
def to_db_string(self, value, quote=True):
return escape('%010d' % timegm(value.utctimetuple()), quote)
class DateTime64Field(DateTimeField):
db_type = 'DateTime64'
def __init__(self, default=None, alias=None, materialized=None, readonly=None, codec=None,
timezone=None, precision=6):
super().__init__(default, alias, materialized, readonly, codec, timezone)
assert precision is None or isinstance(precision, int), 'Precision must be int type'
self.precision = precision
def get_db_type_args(self):
args = [str(self.precision)]
if self.timezone:
args.append(escape(self.timezone.zone))
return args
def to_db_string(self, value, quote=True):
"""
Returns the field's value prepared for writing to the database
Returns string in 0000000000.000000 format, where remainder digits count is equal to precision
"""
return escape(
'{timestamp:0{width}.{precision}f}'.format(
timestamp=value.timestamp(),
width=11 + self.precision,
precision=self.precision),
quote
)
def to_python(self, value, timezone_in_use):
try:
return super().to_python(value, timezone_in_use)
except ValueError:
if isinstance(value, (int, float)):
return datetime.datetime.utcfromtimestamp(value).replace(tzinfo=pytz.utc)
if isinstance(value, str):
left_part = value.split('.')[0]
if left_part == '0000-00-00 00:00:00':
return self.class_default
if len(left_part) == 10:
try:
value = float(value)
return datetime.datetime.utcfromtimestamp(value).replace(tzinfo=pytz.utc)
except ValueError:
pass
raise
class BaseIntField(Field):
'''
Abstract base class for all integer-type fields.
@ -206,7 +302,7 @@ class BaseIntField(Field):
def to_db_string(self, value, quote=True):
# There's no need to call escape since numbers do not contain
# special characters, and never need quoting
return text_type(value)
return str(value)
def validate(self, value):
self._range_check(value, self.min_value, self.max_value)
@ -282,7 +378,7 @@ class BaseFloatField(Field):
def to_db_string(self, value, quote=True):
# There's no need to call escape since numbers do not contain
# special characters, and never need quoting
return text_type(value)
return str(value)
class Float32Field(BaseFloatField):
@ -326,7 +422,7 @@ class DecimalField(Field):
def to_db_string(self, value, quote=True):
# There's no need to call escape since numbers do not contain
# special characters, and never need quoting
return text_type(value)
return str(value)
def _round(self, value):
return value.quantize(self.exp)
@ -361,20 +457,27 @@ class BaseEnumField(Field):
Abstract base class for all enum-type fields.
'''
def __init__(self, enum_cls, default=None, alias=None, materialized=None, readonly=None):
def __init__(self, enum_cls, default=None, alias=None, materialized=None, readonly=None, codec=None):
self.enum_cls = enum_cls
if default is None:
default = list(enum_cls)[0]
super(BaseEnumField, self).__init__(default, alias, materialized, readonly)
super(BaseEnumField, self).__init__(default, alias, materialized, readonly, codec)
def to_python(self, value, timezone_in_use):
if isinstance(value, self.enum_cls):
return value
try:
if isinstance(value, text_type):
return self.enum_cls[value]
if isinstance(value, binary_type):
return self.enum_cls[value.decode('UTF-8')]
if isinstance(value, str):
try:
return self.enum_cls[value]
except Exception:
return self.enum_cls(value)
if isinstance(value, bytes):
decoded = value.decode('UTF-8')
try:
return self.enum_cls[decoded]
except Exception:
return self.enum_cls(decoded)
if isinstance(value, int):
return self.enum_cls(value)
except (KeyError, ValueError):
@ -384,13 +487,8 @@ class BaseEnumField(Field):
def to_db_string(self, value, quote=True):
return escape(value.name, quote)
def get_sql(self, with_default_expression=True):
values = ['%s = %d' % (escape(item.name), item.value) for item in self.enum_cls]
sql = '%s(%s)' % (self.db_type, ' ,'.join(values))
if with_default_expression:
default = self.to_db_string(self.default)
sql = '%s DEFAULT %s' % (sql, default)
return sql
def get_db_type_args(self):
return ['%s = %d' % (escape(item.name), item.value) for item in self.enum_cls]
@classmethod
def create_ad_hoc_field(cls, db_type):
@ -399,12 +497,9 @@ class BaseEnumField(Field):
this method returns a matching enum field.
'''
import re
try:
Enum # exists in Python 3.4+
except NameError:
from enum import Enum # use the enum34 library instead
from enum import Enum
members = {}
for match in re.finditer("'(\w+)' = (\d+)", db_type):
for match in re.finditer(r"'([\w ]+)' = (-?\d+)", db_type):
members[match.group(1)] = int(match.group(2))
enum_cls = Enum('AdHocEnum', members)
field_class = Enum8Field if db_type.startswith('Enum8') else Enum16Field
@ -425,16 +520,16 @@ class ArrayField(Field):
class_default = []
def __init__(self, inner_field, default=None, alias=None, materialized=None, readonly=None):
def __init__(self, inner_field, default=None, alias=None, materialized=None, readonly=None, codec=None):
assert isinstance(inner_field, Field), "The first argument of ArrayField must be a Field instance"
assert not isinstance(inner_field, ArrayField), "Multidimensional array fields are not supported by the ORM"
self.inner_field = inner_field
super(ArrayField, self).__init__(default, alias, materialized, readonly)
super(ArrayField, self).__init__(default, alias, materialized, readonly, codec)
def to_python(self, value, timezone_in_use):
if isinstance(value, text_type):
if isinstance(value, str):
value = parse_array(value)
elif isinstance(value, binary_type):
elif isinstance(value, bytes):
value = parse_array(value.decode('UTF-8'))
elif not isinstance(value, (list, tuple)):
raise ValueError('ArrayField expects list or tuple, not %s' % type(value))
@ -448,9 +543,11 @@ class ArrayField(Field):
array = [self.inner_field.to_db_string(v, quote=True) for v in value]
return '[' + comma_join(array) + ']'
def get_sql(self, with_default_expression=True):
from .utils import escape
return 'Array(%s)' % self.inner_field.get_sql(with_default_expression=False)
def get_sql(self, with_default_expression=True, db=None):
sql = 'Array(%s)' % self.inner_field.get_sql(with_default_expression=False, db=db)
if with_default_expression and self.codec and db and db.has_codec_support:
sql+= ' CODEC(%s)' % self.codec
return sql
class UUIDField(Field):
@ -461,11 +558,11 @@ class UUIDField(Field):
def to_python(self, value, timezone_in_use):
if isinstance(value, UUID):
return value
elif isinstance(value, binary_type):
elif isinstance(value, bytes):
return UUID(bytes=value)
elif isinstance(value, string_types):
elif isinstance(value, str):
return UUID(value)
elif isinstance(value, integer_types):
elif isinstance(value, int):
return UUID(int=value)
elif isinstance(value, tuple):
return UUID(fields=value)
@ -476,17 +573,52 @@ class UUIDField(Field):
return escape(str(value), quote)
class IPv4Field(Field):
class_default = 0
db_type = 'IPv4'
def to_python(self, value, timezone_in_use):
if isinstance(value, IPv4Address):
return value
elif isinstance(value, (bytes, str, int)):
return IPv4Address(value)
else:
raise ValueError('Invalid value for IPv4Address: %r' % value)
def to_db_string(self, value, quote=True):
return escape(str(value), quote)
class IPv6Field(Field):
class_default = 0
db_type = 'IPv6'
def to_python(self, value, timezone_in_use):
if isinstance(value, IPv6Address):
return value
elif isinstance(value, (bytes, str, int)):
return IPv6Address(value)
else:
raise ValueError('Invalid value for IPv6Address: %r' % value)
def to_db_string(self, value, quote=True):
return escape(str(value), quote)
class NullableField(Field):
class_default = None
def __init__(self, inner_field, default=None, alias=None, materialized=None,
extra_null_values=None):
extra_null_values=None, codec=None):
assert isinstance(inner_field, Field), "The first argument of NullableField must be a Field instance. Not: {}".format(inner_field)
self.inner_field = inner_field
self._null_values = [None]
if extra_null_values:
self._null_values.extend(extra_null_values)
super(NullableField, self).__init__(default, alias, materialized, readonly=None)
super(NullableField, self).__init__(default, alias, materialized, readonly=None, codec=codec)
def to_python(self, value, timezone_in_use):
if value == '\\N' or value in self._null_values:
@ -501,14 +633,42 @@ class NullableField(Field):
return '\\N'
return self.inner_field.to_db_string(value, quote=quote)
def get_sql(self, with_default_expression=True):
s = 'Nullable(%s)' % self.inner_field.get_sql(with_default_expression=False)
def get_sql(self, with_default_expression=True, db=None):
sql = 'Nullable(%s)' % self.inner_field.get_sql(with_default_expression=False, db=db)
if with_default_expression:
if self.alias:
s = '%s ALIAS %s' % (s, self.alias)
elif self.materialized:
s = '%s MATERIALIZED %s' % (s, self.materialized)
elif self.default:
default = self.to_db_string(self.default)
s = '%s DEFAULT %s' % (s, default)
return s
sql += self._extra_params(db)
return sql
class LowCardinalityField(Field):
def __init__(self, inner_field, default=None, alias=None, materialized=None, readonly=None, codec=None):
assert isinstance(inner_field, Field), "The first argument of LowCardinalityField must be a Field instance. Not: {}".format(inner_field)
assert not isinstance(inner_field, LowCardinalityField), "LowCardinality inner fields are not supported by the ORM"
assert not isinstance(inner_field, ArrayField), "Array field inside LowCardinality are not supported by the ORM. Use Array(LowCardinality) instead"
self.inner_field = inner_field
self.class_default = self.inner_field.class_default
super(LowCardinalityField, self).__init__(default, alias, materialized, readonly, codec)
def to_python(self, value, timezone_in_use):
return self.inner_field.to_python(value, timezone_in_use)
def validate(self, value):
self.inner_field.validate(value)
def to_db_string(self, value, quote=True):
return self.inner_field.to_db_string(value, quote=quote)
def get_sql(self, with_default_expression=True, db=None):
if db and db.has_low_cardinality_support:
sql = 'LowCardinality(%s)' % self.inner_field.get_sql(with_default_expression=False)
else:
sql = self.inner_field.get_sql(with_default_expression=False)
logger.warning('LowCardinalityField not supported on clickhouse-server version < 19.0 using {} as fallback'.format(self.inner_field.__class__.__name__))
if with_default_expression:
sql += self._extra_params(db)
return sql
# Expose only relevant classes in import *
__all__ = get_subclass_names(locals(), Field)

File diff suppressed because it is too large Load Diff

View File

@ -1,18 +1,13 @@
import six
from .models import Model, BufferModel
from .fields import DateField, StringField
from .engines import MergeTree
from .utils import escape
from six.moves import zip
from six import iteritems
from .utils import escape, get_subclass_names
import logging
logger = logging.getLogger('migrations')
class Operation(object):
class Operation():
'''
Base class for migration operations.
'''
@ -21,22 +16,40 @@ class Operation(object):
raise NotImplementedError() # pragma: no cover
class CreateTable(Operation):
class ModelOperation(Operation):
'''
Base class for migration operations that work on a specific model.
'''
def __init__(self, model_class):
'''
Initializer.
'''
self.model_class = model_class
self.table_name = model_class.table_name()
def _alter_table(self, database, cmd):
'''
Utility for running ALTER TABLE commands.
'''
cmd = "ALTER TABLE $db.`%s` %s" % (self.table_name, cmd)
logger.debug(cmd)
database.raw(cmd)
class CreateTable(ModelOperation):
'''
A migration operation that creates a table for a given model class.
'''
def __init__(self, model_class):
self.model_class = model_class
def apply(self, database):
logger.info(' Create table %s', self.model_class.table_name())
logger.info(' Create table %s', self.table_name)
if issubclass(self.model_class, BufferModel):
database.create_table(self.model_class.engine.main_model)
database.create_table(self.model_class)
class AlterTable(Operation):
class AlterTable(ModelOperation):
'''
A migration operation that compares the table of a given model class to
the model's fields, and alters the table to match the model. The operation can:
@ -46,20 +59,12 @@ class AlterTable(Operation):
Default values are not altered by this operation.
'''
def __init__(self, model_class):
self.model_class = model_class
def _get_table_fields(self, database):
query = "DESC `%s`.`%s`" % (database.db_name, self.model_class.table_name())
query = "DESC `%s`.`%s`" % (database.db_name, self.table_name)
return [(row.name, row.type) for row in database.select(query)]
def _alter_table(self, database, cmd):
cmd = "ALTER TABLE `%s`.`%s` %s" % (database.db_name, self.model_class.table_name(), cmd)
logger.debug(cmd)
database._send(cmd)
def apply(self, database):
logger.info(' Alter table %s', self.model_class.table_name())
logger.info(' Alter table %s', self.table_name)
# Note that MATERIALIZED and ALIAS fields are always at the end of the DESC,
# ADD COLUMN ... AFTER doesn't affect it
@ -74,14 +79,16 @@ class AlterTable(Operation):
# Identify fields that were added to the model
prev_name = None
for name, field in iteritems(self.model_class.fields()):
for name, field in self.model_class.fields().items():
is_regular_field = not (field.materialized or field.alias)
if name not in table_fields:
logger.info(' Add column %s', name)
assert prev_name, 'Cannot add a column to the beginning of the table'
cmd = 'ADD COLUMN %s %s' % (name, field.get_sql())
cmd = 'ADD COLUMN %s %s' % (name, field.get_sql(db=database))
if is_regular_field:
cmd += ' AFTER %s' % prev_name
if prev_name:
cmd += ' AFTER %s' % prev_name
else:
cmd += ' FIRST'
self._alter_table(database, cmd)
if is_regular_field:
@ -93,8 +100,8 @@ class AlterTable(Operation):
# The order of class attributes can be changed any time, so we can't count on it
# Secondly, MATERIALIZED and ALIAS fields are always at the end of the DESC, so we can't expect them to save
# attribute position. Watch https://github.com/Infinidat/infi.clickhouse_orm/issues/47
model_fields = {name: field.get_sql(with_default_expression=False)
for name, field in iteritems(self.model_class.fields())}
model_fields = {name: field.get_sql(with_default_expression=False, db=database)
for name, field in self.model_class.fields().items()}
for field_name, field_sql in self._get_table_fields(database):
# All fields must have been created and dropped by this moment
assert field_name in model_fields, 'Model fields and table columns in disagreement'
@ -105,16 +112,13 @@ class AlterTable(Operation):
self._alter_table(database, 'MODIFY COLUMN %s %s' % (field_name, model_fields[field_name]))
class AlterTableWithBuffer(Operation):
class AlterTableWithBuffer(ModelOperation):
'''
A migration operation for altering a buffer table and its underlying on-disk table.
The buffer table is dropped, the on-disk table is altered, and then the buffer table
is re-created.
'''
def __init__(self, model_class):
self.model_class = model_class
def apply(self, database):
if issubclass(self.model_class, BufferModel):
DropTable(self.model_class).apply(database)
@ -124,25 +128,108 @@ class AlterTableWithBuffer(Operation):
AlterTable(self.model_class).apply(database)
class DropTable(Operation):
class DropTable(ModelOperation):
'''
A migration operation that drops the table of a given model class.
'''
def __init__(self, model_class):
self.model_class = model_class
def apply(self, database):
logger.info(' Drop table %s', self.table_name)
database.drop_table(self.model_class)
class AlterConstraints(ModelOperation):
'''
A migration operation that adds new constraints from the model to the database
table, and drops obsolete ones. Constraints are identified by their names, so
a change in an existing constraint will not be detected unless its name was changed too.
ClickHouse does not check that the constraints hold for existing data in the table.
'''
def apply(self, database):
logger.info(' Drop table %s', self.model_class.table_name())
database.drop_table(self.model_class)
logger.info(' Alter constraints for %s', self.table_name)
existing = self._get_constraint_names(database)
# Go over constraints in the model
for constraint in self.model_class._constraints.values():
# Check if it's a new constraint
if constraint.name not in existing:
logger.info(' Add constraint %s', constraint.name)
self._alter_table(database, 'ADD %s' % constraint.create_table_sql())
else:
existing.remove(constraint.name)
# Remaining constraints in `existing` are obsolete
for name in existing:
logger.info(' Drop constraint %s', name)
self._alter_table(database, 'DROP CONSTRAINT `%s`' % name)
def _get_constraint_names(self, database):
'''
Returns a set containing the names of existing constraints in the table.
'''
import re
table_def = database.raw('SHOW CREATE TABLE $db.`%s`' % self.table_name)
matches = re.findall(r'\sCONSTRAINT\s+`?(.+?)`?\s+CHECK\s', table_def)
return set(matches)
class AlterIndexes(ModelOperation):
'''
A migration operation that adds new indexes from the model to the database
table, and drops obsolete ones. Indexes are identified by their names, so
a change in an existing index will not be detected unless its name was changed too.
'''
def __init__(self, model_class, reindex=False):
'''
Initializer.
By default ClickHouse does not build indexes over existing data, only for
new data. Passing `reindex=True` will run `OPTIMIZE TABLE` in order to build
the indexes over the existing data.
'''
super().__init__(model_class)
self.reindex = reindex
def apply(self, database):
logger.info(' Alter indexes for %s', self.table_name)
existing = self._get_index_names(database)
logger.info(existing)
# Go over indexes in the model
for index in self.model_class._indexes.values():
# Check if it's a new index
if index.name not in existing:
logger.info(' Add index %s', index.name)
self._alter_table(database, 'ADD %s' % index.create_table_sql())
else:
existing.remove(index.name)
# Remaining indexes in `existing` are obsolete
for name in existing:
logger.info(' Drop index %s', name)
self._alter_table(database, 'DROP INDEX `%s`' % name)
# Reindex
if self.reindex:
logger.info(' Build indexes on table')
database.raw('OPTIMIZE TABLE $db.`%s` FINAL' % self.table_name)
def _get_index_names(self, database):
'''
Returns a set containing the names of existing indexes in the table.
'''
import re
table_def = database.raw('SHOW CREATE TABLE $db.`%s`' % self.table_name)
matches = re.findall(r'\sINDEX\s+`?(.+?)`?\s+', table_def)
return set(matches)
class RunPython(Operation):
'''
A migration operation that executes given python function on database
A migration operation that executes a Python function.
'''
def __init__(self, func):
assert callable(func), "'func' parameter must be function"
'''
Initializer. The given Python function will be called with a single
argument - the Database instance to apply the migration to.
'''
assert callable(func), "'func' argument must be function"
self._func = func
def apply(self, database):
@ -152,14 +239,17 @@ class RunPython(Operation):
class RunSQL(Operation):
'''
A migration operation that executes given SQL on database
A migration operation that executes arbitrary SQL statements.
'''
def __init__(self, sql):
if isinstance(sql, six.string_types):
'''
Initializer. The given sql argument must be a valid SQL statement or
list of statements.
'''
if isinstance(sql, str):
sql = [sql]
assert isinstance(sql, list), "'sql' parameter must be string or list of strings"
assert isinstance(sql, list), "'sql' argument must be string or list of strings"
self._sql = sql
def apply(self, database):
@ -182,3 +272,7 @@ class MigrationHistory(Model):
@classmethod
def table_name(cls):
return 'infi_clickhouse_orm_migrations'
# Expose only relevant classes in import *
__all__ = get_subclass_names(locals(), Operation)

View File

@ -1,19 +1,124 @@
from __future__ import unicode_literals
import sys
from collections import OrderedDict
from itertools import chain
from logging import getLogger
from six import with_metaclass, reraise, iteritems
import pytz
from .fields import Field, StringField
from .utils import parse_tsv
from .utils import parse_tsv, NO_VALUE, get_subclass_names, arg_to_sql, unescape
from .query import QuerySet
from .funcs import F
from .engines import Merge, Distributed
logger = getLogger('clickhouse_orm')
class Constraint:
'''
Defines a model constraint.
'''
name = None # this is set by the parent model
parent = None # this is set by the parent model
def __init__(self, expr):
'''
Initializer. Expects an expression that ClickHouse will verify when inserting data.
'''
self.expr = expr
def create_table_sql(self):
'''
Returns the SQL statement for defining this constraint during table creation.
'''
return 'CONSTRAINT `%s` CHECK %s' % (self.name, arg_to_sql(self.expr))
class Index:
'''
Defines a data-skipping index.
'''
name = None # this is set by the parent model
parent = None # this is set by the parent model
def __init__(self, expr, type, granularity):
'''
Initializer.
- `expr` - a column, expression, or tuple of columns and expressions to index.
- `type` - the index type. Use one of the following methods to specify the type:
`Index.minmax`, `Index.set`, `Index.ngrambf_v1`, `Index.tokenbf_v1` or `Index.bloom_filter`.
- `granularity` - index block size (number of multiples of the `index_granularity` defined by the engine).
'''
self.expr = expr
self.type = type
self.granularity = granularity
def create_table_sql(self):
'''
Returns the SQL statement for defining this index during table creation.
'''
return 'INDEX `%s` %s TYPE %s GRANULARITY %d' % (self.name, arg_to_sql(self.expr), self.type, self.granularity)
@staticmethod
def minmax():
'''
An index that stores extremes of the specified expression (if the expression is tuple, then it stores
extremes for each element of tuple). The stored info is used for skipping blocks of data like the primary key.
'''
return 'minmax'
@staticmethod
def set(max_rows):
'''
An index that stores unique values of the specified expression (no more than max_rows rows,
or unlimited if max_rows=0). Uses the values to check if the WHERE expression is not satisfiable
on a block of data.
'''
return 'set(%d)' % max_rows
@staticmethod
def ngrambf_v1(n, size_of_bloom_filter_in_bytes, number_of_hash_functions, random_seed):
'''
An index that stores a Bloom filter containing all ngrams from a block of data.
Works only with strings. Can be used for optimization of equals, like and in expressions.
- `n` ngram size
- `size_of_bloom_filter_in_bytes` Bloom filter size in bytes (you can use large values here,
for example 256 or 512, because it can be compressed well).
- `number_of_hash_functions` The number of hash functions used in the Bloom filter.
- `random_seed` The seed for Bloom filter hash functions.
'''
return 'ngrambf_v1(%d, %d, %d, %d)' % (n, size_of_bloom_filter_in_bytes, number_of_hash_functions, random_seed)
@staticmethod
def tokenbf_v1(size_of_bloom_filter_in_bytes, number_of_hash_functions, random_seed):
'''
An index that stores a Bloom filter containing string tokens. Tokens are sequences
separated by non-alphanumeric characters.
- `size_of_bloom_filter_in_bytes` Bloom filter size in bytes (you can use large values here,
for example 256 or 512, because it can be compressed well).
- `number_of_hash_functions` The number of hash functions used in the Bloom filter.
- `random_seed` The seed for Bloom filter hash functions.
'''
return 'tokenbf_v1(%d, %d, %d)' % (size_of_bloom_filter_in_bytes, number_of_hash_functions, random_seed)
@staticmethod
def bloom_filter(false_positive=0.025):
'''
An index that stores a Bloom filter containing values of the index expression.
- `false_positive` - the probability (between 0 and 1) of receiving a false positive
response from the filter
'''
return 'bloom_filter(%f)' % false_positive
class ModelBase(type):
'''
A metaclass for ORM models. It adds the _fields list to model classes.
@ -22,35 +127,66 @@ class ModelBase(type):
ad_hoc_model_cache = {}
def __new__(cls, name, bases, attrs):
# Collect fields from parent classes
base_fields = dict()
# Collect fields, constraints and indexes from parent classes
fields = {}
constraints = {}
indexes = {}
for base in bases:
if isinstance(base, ModelBase):
base_fields.update(base._fields)
fields.update(base._fields)
constraints.update(base._constraints)
indexes.update(base._indexes)
fields = base_fields
# Add fields, constraints and indexes from this class
for n, obj in attrs.items():
if isinstance(obj, Field):
fields[n] = obj
elif isinstance(obj, Constraint):
constraints[n] = obj
elif isinstance(obj, Index):
indexes[n] = obj
# Build a list of fields, in the order they were listed in the class
fields.update({n: f for n, f in iteritems(attrs) if isinstance(f, Field)})
fields = sorted(iteritems(fields), key=lambda item: item[1].creation_counter)
# Convert fields to a list of (name, field) tuples, in the order they were listed in the class
fields = sorted(fields.items(), key=lambda item: item[1].creation_counter)
# Build a dictionary of default values
defaults = {n: f.to_python(f.default, pytz.UTC) for n, f in fields}
defaults = {}
has_funcs_as_defaults = False
for n, f in fields:
if f.alias or f.materialized:
defaults[n] = NO_VALUE
elif isinstance(f.default, F):
defaults[n] = NO_VALUE
has_funcs_as_defaults = True
else:
defaults[n] = f.to_python(f.default, pytz.UTC)
# Create the model class
attrs = dict(
attrs,
_fields=OrderedDict(fields),
_constraints=constraints,
_indexes=indexes,
_writable_fields=OrderedDict([f for f in fields if not f[1].readonly]),
_defaults=defaults
_defaults=defaults,
_has_funcs_as_defaults=has_funcs_as_defaults
)
return super(ModelBase, cls).__new__(cls, str(name), bases, attrs)
model = super(ModelBase, cls).__new__(cls, str(name), bases, attrs)
# Let each field, constraint and index know its parent and its own name
for n, obj in chain(fields, constraints.items(), indexes.items()):
setattr(obj, 'parent', model)
setattr(obj, 'name', n)
return model
@classmethod
def create_ad_hoc_model(cls, fields, model_name='AdHocModel'):
# fields is a list of tuples (name, db_type)
# Check if model exists in cache
fields = list(fields)
cache_key = str(fields)
cache_key = model_name + ' ' + str(fields)
if cache_key in cls.ad_hoc_model_cache:
return cls.ad_hoc_model_cache[cache_key]
# Create an ad hoc model class
@ -70,24 +206,45 @@ class ModelBase(type):
return orm_fields.BaseEnumField.create_ad_hoc_field(db_type)
# DateTime with timezone
if db_type.startswith('DateTime('):
# Some functions return DateTimeField with timezone in brackets
return orm_fields.DateTimeField()
timezone = db_type[9:-1]
return orm_fields.DateTimeField(
timezone=timezone[1:-1] if timezone else None
)
# DateTime64
if db_type.startswith('DateTime64('):
precision, *timezone = [s.strip() for s in db_type[11:-1].split(',')]
return orm_fields.DateTime64Field(
precision=int(precision),
timezone=timezone[0][1:-1] if timezone else None
)
# Arrays
if db_type.startswith('Array'):
inner_field = cls.create_ad_hoc_field(db_type[6 : -1])
return orm_fields.ArrayField(inner_field)
# Tuples (poor man's version - convert to array)
if db_type.startswith('Tuple'):
types = [s.strip() for s in db_type[6 : -1].split(',')]
assert len(set(types)) == 1, 'No support for mixed types in tuples - ' + db_type
inner_field = cls.create_ad_hoc_field(types[0])
return orm_fields.ArrayField(inner_field)
# FixedString
if db_type.startswith('FixedString'):
length = int(db_type[12 : -1])
return orm_fields.FixedStringField(length)
# Decimal
# Decimal / Decimal32 / Decimal64 / Decimal128
if db_type.startswith('Decimal'):
precision, scale = [int(n.strip()) for n in db_type[8 : -1].split(',')]
return orm_fields.DecimalField(precision, scale)
p = db_type.index('(')
args = [int(n.strip()) for n in db_type[p + 1 : -1].split(',')]
field_class = getattr(orm_fields, db_type[:p] + 'Field')
return field_class(*args)
# Nullable
if db_type.startswith('Nullable'):
inner_field = cls.create_ad_hoc_field(db_type[9 : -1])
return orm_fields.NullableField(inner_field)
# LowCardinality
if db_type.startswith('LowCardinality'):
inner_field = cls.create_ad_hoc_field(db_type[15 : -1])
return orm_fields.LowCardinalityField(inner_field)
# Simple fields
name = db_type + 'Field'
if not hasattr(orm_fields, name):
@ -95,7 +252,7 @@ class ModelBase(type):
return getattr(orm_fields, name)()
class Model(with_metaclass(ModelBase)):
class Model(metaclass=ModelBase):
'''
A base class for ORM models. Each model class represent a ClickHouse table. For example:
@ -127,7 +284,7 @@ class Model(with_metaclass(ModelBase)):
# Assign default values
self.__dict__.update(self._defaults)
# Assign field values from keyword arguments
for name, value in iteritems(kwargs):
for name, value in kwargs.items():
field = self.get_field(name)
if field:
setattr(self, name, value)
@ -140,14 +297,14 @@ class Model(with_metaclass(ModelBase)):
This may raise a `ValueError`.
'''
field = self.get_field(name)
if field:
if field and (value != NO_VALUE):
try:
value = field.to_python(value, pytz.utc)
field.validate(value)
except ValueError:
tp, v, tb = sys.exc_info()
new_msg = "{} (field '{}')".format(v, name)
reraise(tp, tp(new_msg), tb)
raise tp.with_traceback(tp(new_msg), tb)
super(Model, self).__setattr__(name, value)
def set_database(self, db):
@ -182,16 +339,32 @@ class Model(with_metaclass(ModelBase)):
'''
return cls.__name__.lower()
@classmethod
def has_funcs_as_defaults(cls):
'''
Return True if some of the model's fields use a function expression
as a default value. This requires special handling when inserting instances.
'''
return cls._has_funcs_as_defaults
@classmethod
def create_table_sql(cls, db):
'''
Returns the SQL command for creating a table for this model.
Returns the SQL statement for creating a table for this model.
'''
parts = ['CREATE TABLE IF NOT EXISTS `%s`.`%s` (' % (db.db_name, cls.table_name())]
cols = []
for name, field in iteritems(cls.fields()):
cols.append(' %s %s' % (name, field.get_sql()))
parts.append(',\n'.join(cols))
# Fields
items = []
for name, field in cls.fields().items():
items.append(' %s %s' % (name, field.get_sql(db=db)))
# Constraints
for c in cls._constraints.values():
items.append(' %s' % c.create_table_sql())
# Indexes
for i in cls._indexes.values():
items.append(' %s' % i.create_table_sql())
parts.append(',\n'.join(items))
# Engine
parts.append(')')
parts.append('ENGINE = ' + cls.engine.create_table_sql(db))
return '\n'.join(parts)
@ -211,15 +384,15 @@ class Model(with_metaclass(ModelBase)):
- `line`: the TSV-formatted data.
- `field_names`: names of the model fields in the data.
- `timezone_in_use`: the timezone to use when parsing dates and datetimes.
- `timezone_in_use`: the timezone to use when parsing dates and datetimes. Some fields use their own timezones.
- `database`: if given, sets the database that this instance belongs to.
'''
from six import next
values = iter(parse_tsv(line))
kwargs = {}
for name in field_names:
field = getattr(cls, name)
kwargs[name] = field.to_python(next(values), timezone_in_use)
field_timezone = getattr(field, 'timezone', None) or timezone_in_use
kwargs[name] = field.to_python(next(values), field_timezone)
obj = cls(**kwargs)
if database is not None:
@ -235,7 +408,30 @@ class Model(with_metaclass(ModelBase)):
'''
data = self.__dict__
fields = self.fields(writable=not include_readonly)
return '\t'.join(field.to_db_string(data[name], quote=False) for name, field in iteritems(fields))
return '\t'.join(field.to_db_string(data[name], quote=False) for name, field in fields.items())
def to_tskv(self, include_readonly=True):
'''
Returns the instance's column keys and values as a tab-separated line. A newline is not included.
Fields that were not assigned a value are omitted.
- `include_readonly`: if false, returns only fields that can be inserted into database.
'''
data = self.__dict__
fields = self.fields(writable=not include_readonly)
parts = []
for name, field in fields.items():
if data[name] != NO_VALUE:
parts.append(name + '=' + field.to_db_string(data[name], quote=False))
return '\t'.join(parts)
def to_db_string(self):
'''
Returns the instance as a bytestring ready to be inserted into the database.
'''
s = self.to_tskv(False) if self._has_funcs_as_defaults else self.to_tsv(False)
s += '\n'
return s.encode('utf-8')
def to_dict(self, include_readonly=True, field_names=None):
'''
@ -289,7 +485,7 @@ class BufferModel(Model):
@classmethod
def create_table_sql(cls, db):
'''
Returns the SQL command for creating a table for this model.
Returns the SQL statement for creating a table for this model.
'''
parts = ['CREATE TABLE IF NOT EXISTS `%s`.`%s` AS `%s`.`%s`' % (db.db_name, cls.table_name(), db.db_name,
cls.engine.main_model.table_name())]
@ -302,7 +498,7 @@ class MergeModel(Model):
'''
Model for Merge engine
Predefines virtual _table column an controls that rows can't be inserted to this table type
https://clickhouse.yandex/docs/en/single/index.html#document-table_engines/merge
https://clickhouse.tech/docs/en/single/index.html#document-table_engines/merge
'''
readonly = True
@ -311,12 +507,15 @@ class MergeModel(Model):
@classmethod
def create_table_sql(cls, db):
'''
Returns the SQL statement for creating a table for this model.
'''
assert isinstance(cls.engine, Merge), "engine must be an instance of engines.Merge"
parts = ['CREATE TABLE IF NOT EXISTS `%s`.`%s` (' % (db.db_name, cls.table_name())]
cols = []
for name, field in iteritems(cls.fields()):
for name, field in cls.fields().items():
if name != '_table':
cols.append(' %s %s' % (name, field.get_sql()))
cols.append(' %s %s' % (name, field.get_sql(db=db)))
parts.append(',\n'.join(cols))
parts.append(')')
parts.append('ENGINE = ' + cls.engine.create_table_sql(db))
@ -327,10 +526,14 @@ class MergeModel(Model):
class DistributedModel(Model):
"""
Model for Distributed engine
Model class for use with a `Distributed` engine.
"""
def set_database(self, db):
'''
Sets the `Database` that this model instance belongs to.
This is done automatically when the instance is read from the database or written to it.
'''
assert isinstance(self.engine, Distributed), "engine must be an instance of engines.Distributed"
res = super(DistributedModel, self).set_database(db)
return res
@ -388,6 +591,9 @@ class DistributedModel(Model):
@classmethod
def create_table_sql(cls, db):
'''
Returns the SQL statement for creating a table for this model.
'''
assert isinstance(cls.engine, Distributed), "engine must be engines.Distributed instance"
cls.fix_engine_table()
@ -397,3 +603,7 @@ class DistributedModel(Model):
db.db_name, cls.table_name(), cls.engine.table_name),
'ENGINE = ' + cls.engine.create_table_sql(db)]
return '\n'.join(parts)
# Expose only relevant classes in import *
__all__ = get_subclass_names(locals(), (Model, Constraint, Index))

View File

@ -1,17 +1,14 @@
from __future__ import unicode_literals
import six
import pytz
from copy import copy, deepcopy
from math import ceil
from .engines import CollapsingMergeTree
from .utils import comma_join
from datetime import date, datetime
from .utils import comma_join, string_or_func, arg_to_sql
# TODO
# - check that field names are valid
# - operators for arrays: length, has, empty
class Operator(object):
"""
@ -25,6 +22,12 @@ class Operator(object):
"""
raise NotImplementedError # pragma: no cover
def _value_to_sql(self, field, value, quote=True):
from infi.clickhouse_orm.funcs import F
if isinstance(value, F):
return value.to_sql()
return field.to_db_string(field.to_python(value, pytz.utc), quote)
class SimpleOperator(Operator):
"""
@ -37,7 +40,7 @@ class SimpleOperator(Operator):
def to_sql(self, model_cls, field_name, value):
field = getattr(model_cls, field_name)
value = field.to_db_string(field.to_python(value, pytz.utc))
value = self._value_to_sql(field, value)
if value == '\\N' and self._sql_for_null is not None:
return ' '.join([field_name, self._sql_for_null])
return ' '.join([field_name, self._sql_operator, value])
@ -56,10 +59,10 @@ class InOperator(Operator):
field = getattr(model_cls, field_name)
if isinstance(value, QuerySet):
value = value.as_sql()
elif isinstance(value, six.string_types):
elif isinstance(value, str):
pass
else:
value = comma_join([field.to_db_string(field.to_python(v, pytz.utc)) for v in value])
value = comma_join([self._value_to_sql(field, v) for v in value])
return '%s IN (%s)' % (field_name, value)
@ -75,7 +78,7 @@ class LikeOperator(Operator):
def to_sql(self, model_cls, field_name, value):
field = getattr(model_cls, field_name)
value = field.to_db_string(field.to_python(value, pytz.utc), quote=False)
value = self._value_to_sql(field, value, quote=False)
value = value.replace('\\', '\\\\').replace('%', '\\\\%').replace('_', '\\\\_')
pattern = self._pattern.format(value)
if self._case_sensitive:
@ -91,7 +94,7 @@ class IExactOperator(Operator):
def to_sql(self, model_cls, field_name, value):
field = getattr(model_cls, field_name)
value = field.to_db_string(field.to_python(value, pytz.utc))
value = self._value_to_sql(field, value)
return 'lowerUTF8(%s) = lowerUTF8(%s)' % (field_name, value)
@ -120,10 +123,8 @@ class BetweenOperator(Operator):
def to_sql(self, model_cls, field_name, value):
field = getattr(model_cls, field_name)
value0 = field.to_db_string(
field.to_python(value[0], pytz.utc)) if value[0] is not None or len(str(value[0])) > 0 else None
value1 = field.to_db_string(
field.to_python(value[1], pytz.utc)) if value[1] is not None or len(str(value[1])) > 0 else None
value0 = self._value_to_sql(field, value[0]) if value[0] is not None or len(str(value[0])) > 0 else None
value1 = self._value_to_sql(field, value[1]) if value[1] is not None or len(str(value[1])) > 0 else None
if value0 and value1:
return '%s BETWEEN %s AND %s' % (field_name, value0, value1)
if value0 and not value1:
@ -156,11 +157,19 @@ register_operator('iendswith', LikeOperator('%{}', False))
register_operator('iexact', IExactOperator())
class FOV(object):
class Cond(object):
"""
An object for storing Field + Operator + Value.
An abstract object for storing a single query condition Field + Operator + Value.
"""
def to_sql(self, model_cls):
raise NotImplementedError
class FieldCond(Cond):
"""
A single query condition made up of Field + Operator + Value.
"""
def __init__(self, field_name, operator, value):
self._field_name = field_name
self._operator = _operators.get(operator)
@ -184,8 +193,8 @@ class Q(object):
AND_MODE = 'AND'
OR_MODE = 'OR'
def __init__(self, **filter_fields):
self._fovs = [self._build_fov(k, v) for k, v in six.iteritems(filter_fields)]
def __init__(self, *filter_funcs, **filter_fields):
self._conds = list(filter_funcs) + [self._build_cond(k, v) for k, v in filter_fields.items()]
self._children = []
self._negate = False
self._mode = self.AND_MODE
@ -194,16 +203,16 @@ class Q(object):
def is_empty(self):
"""
Checks if there are any conditions in Q object
:return: Boolean
Returns: Boolean
"""
return not bool(self._fovs or self._children)
return not bool(self._conds or self._children)
@classmethod
def _construct_from(cls, l_child, r_child, mode):
if mode == l_child._mode:
if mode == l_child._mode and not l_child._negate:
q = deepcopy(l_child)
q._children.append(deepcopy(r_child))
elif mode == r_child._mode:
elif mode == r_child._mode and not r_child._negate:
q = deepcopy(r_child)
q._children.append(deepcopy(l_child))
else:
@ -214,18 +223,18 @@ class Q(object):
return q
def _build_fov(self, key, value):
def _build_cond(self, key, value):
if '__' in key:
field_name, operator = key.rsplit('__', 1)
else:
field_name, operator = key, 'eq'
return FOV(field_name, operator, value)
return FieldCond(field_name, operator, value)
def to_sql(self, model_cls):
condition_sql = []
if self._fovs:
condition_sql.extend([fov.to_sql(model_cls) for fov in self._fovs])
if self._conds:
condition_sql.extend([cond.to_sql(model_cls) for cond in self._conds])
if self._children:
condition_sql.extend([child.to_sql(model_cls) for child in self._children if child])
@ -261,7 +270,7 @@ class Q(object):
def __deepcopy__(self, memodict={}):
q = Q()
q._fovs = [deepcopy(fov) for fov in self._fovs]
q._conds = [deepcopy(cond) for cond in self._conds]
q._negate = self._negate
q._mode = self._mode
@ -271,7 +280,6 @@ class Q(object):
return q
@six.python_2_unicode_compatible
class QuerySet(object):
"""
A queryset is an object that represents a database query using a specific `Model`.
@ -284,6 +292,7 @@ class QuerySet(object):
Initializer. It is possible to create a queryset like this, but the standard
way is to use `MyModel.objects_in(database)`.
"""
self.model = model_cls
self._model_cls = model_cls
self._database = database
self._order_by = []
@ -293,6 +302,8 @@ class QuerySet(object):
self._grouping_with_totals = False
self._fields = model_cls.fields().keys()
self._limits = None
self._limit_by = None
self._limit_by_fields = None
self._distinct = False
self._final = False
@ -315,12 +326,12 @@ class QuerySet(object):
return self.as_sql()
def __getitem__(self, s):
if isinstance(s, six.integer_types):
if isinstance(s, int):
# Single index
assert s >= 0, 'negative indexes are not supported'
qs = copy(self)
qs._limits = (s, 1)
return six.next(iter(qs))
return next(iter(qs))
else:
# Slice
assert s.step in (None, 1), 'step is not supported in slices'
@ -332,11 +343,31 @@ class QuerySet(object):
qs._limits = (start, stop - start)
return qs
def limit_by(self, offset_limit, *fields_or_expr):
"""
Adds a LIMIT BY clause to the query.
- `offset_limit`: either an integer specifying the limit, or a tuple of integers (offset, limit).
- `fields_or_expr`: the field names or expressions to use in the clause.
"""
if isinstance(offset_limit, int):
# Single limit
offset_limit = (0, offset_limit)
offset = offset_limit[0]
limit = offset_limit[1]
assert offset >= 0 and limit >= 0, 'negative limits are not supported'
qs = copy(self)
qs._limit_by = (offset, limit)
qs._limit_by_fields = fields_or_expr
return qs
def select_fields_as_sql(self):
"""
Returns the selected fields or expressions as a SQL string.
"""
return comma_join('`%s`' % field for field in self._fields) if self._fields else '*'
fields = '*'
if self._fields:
fields = comma_join('`%s`' % field for field in self._fields)
return fields
def as_sql(self):
"""
@ -344,10 +375,9 @@ class QuerySet(object):
"""
distinct = 'DISTINCT ' if self._distinct else ''
final = ' FINAL' if self._final else ''
table_name = self._model_cls.table_name()
if not self._model_cls.is_system_model():
table_name = '`%s`' % table_name
table_name = '`%s`' % self._model_cls.table_name()
if self._model_cls.is_system_model():
table_name = '`system`.' + table_name
params = (distinct, self.select_fields_as_sql(), table_name, final)
sql = u'SELECT %s%s\nFROM %s%s' % params
@ -366,6 +396,10 @@ class QuerySet(object):
if self._order_by:
sql += '\nORDER BY ' + self.order_by_as_sql()
if self._limit_by:
sql += '\nLIMIT %d, %d' % self._limit_by
sql += ' BY %s' % comma_join(string_or_func(field) for field in self._limit_by_fields)
if self._limits:
sql += '\nLIMIT %d, %d' % self._limits
@ -376,7 +410,7 @@ class QuerySet(object):
Returns the contents of the query's `ORDER BY` clause as a string.
"""
return comma_join([
'%s DESC' % field[1:] if field[0] == '-' else field
'%s DESC' % field[1:] if isinstance(field, str) and field[0] == '-' else str(field)
for field in self._order_by
])
@ -420,14 +454,21 @@ class QuerySet(object):
return qs
def _filter_or_exclude(self, *q, **kwargs):
from .funcs import F
inverse = kwargs.pop('_inverse', False)
prewhere = kwargs.pop('prewhere', False)
qs = copy(self)
condition = Q()
for q_obj in q:
condition &= q_obj
for arg in q:
if isinstance(arg, Q):
condition &= arg
elif isinstance(arg, F):
condition &= Q(arg)
else:
raise TypeError('Invalid argument "%r" to queryset filter' % arg)
if kwargs:
condition &= Q(**kwargs)
@ -497,15 +538,50 @@ class QuerySet(object):
def final(self):
"""
Adds a FINAL modifier to table, meaning data will be collapsed to final version.
Can be used with `CollapsingMergeTree` engine only.
Can be used with the `CollapsingMergeTree` and `ReplacingMergeTree` engines only.
"""
if not isinstance(self._model_cls.engine, CollapsingMergeTree):
raise TypeError('final() method can be used only with CollapsingMergeTree engine')
from .engines import CollapsingMergeTree, ReplacingMergeTree
if not isinstance(self._model_cls.engine, (CollapsingMergeTree, ReplacingMergeTree)):
raise TypeError('final() method can be used only with the CollapsingMergeTree and ReplacingMergeTree engines')
qs = copy(self)
qs._final = True
return qs
def delete(self):
"""
Deletes all records matched by this queryset's conditions.
Note that ClickHouse performs deletions in the background, so they are not immediate.
"""
self._verify_mutation_allowed()
conditions = (self._where_q & self._prewhere_q).to_sql(self._model_cls)
sql = 'ALTER TABLE $db.`%s` DELETE WHERE %s' % (self._model_cls.table_name(), conditions)
self._database.raw(sql)
return self
def update(self, **kwargs):
"""
Updates all records matched by this queryset's conditions.
Keyword arguments specify the field names and expressions to use for the update.
Note that ClickHouse performs updates in the background, so they are not immediate.
"""
assert kwargs, 'No fields specified for update'
self._verify_mutation_allowed()
fields = comma_join('`%s` = %s' % (name, arg_to_sql(expr)) for name, expr in kwargs.items())
conditions = (self._where_q & self._prewhere_q).to_sql(self._model_cls)
sql = 'ALTER TABLE $db.`%s` UPDATE %s WHERE %s' % (self._model_cls.table_name(), fields, conditions)
self._database.raw(sql)
return self
def _verify_mutation_allowed(self):
'''
Checks that the queryset's state allows mutations. Raises an AssertionError if not.
'''
assert not self._limits, 'Mutations are not allowed after slicing the queryset'
assert not self._limit_by, 'Mutations are not allowed after calling limit_by(...)'
assert not self._distinct, 'Mutations are not allowed after calling distinct()'
assert not self._final, 'Mutations are not allowed after calling final()'
def aggregate(self, *args, **kwargs):
"""
Returns an `AggregateQuerySet` over this query, with `args` serving as
@ -583,7 +659,7 @@ class AggregateQuerySet(QuerySet):
"""
Returns the selected fields or expressions as a SQL string.
"""
return comma_join(list(self._fields) + ['%s AS %s' % (v, k) for k, v in self._calculated_fields.items()])
return comma_join([str(f) for f in self._fields] + ['%s AS %s' % (v, k) for k, v in self._calculated_fields.items()])
def __iter__(self):
return self._database.select(self.as_sql()) # using an ad-hoc model
@ -600,8 +676,15 @@ class AggregateQuerySet(QuerySet):
"""
Adds WITH TOTALS modifier ot GROUP BY, making query return extra row
with aggregate function calculated across all the rows. More information:
https://clickhouse.yandex/docs/en/query_language/select/#with-totals-modifier
https://clickhouse.tech/docs/en/query_language/select/#with-totals-modifier
"""
qs = copy(self)
qs._grouping_with_totals = True
return qs
def _verify_mutation_allowed(self):
raise AssertionError('Cannot mutate an AggregateQuerySet')
# Expose only relevant classes in import *
__all__ = [c.__name__ for c in [Q, QuerySet, AggregateQuerySet]]

View File

@ -1,9 +1,8 @@
"""
This file contains system readonly models that can be got from the database
https://clickhouse.yandex/docs/en/system_tables/
https://clickhouse.tech/docs/en/system_tables/
"""
from __future__ import unicode_literals
from six import string_types
from .database import Database
from .fields import *
@ -15,7 +14,7 @@ class SystemPart(Model):
"""
Contains information about parts of a table in the MergeTree family.
This model operates only fields, described in the reference. Other fields are ignored.
https://clickhouse.yandex/docs/en/system_tables/system.parts/
https://clickhouse.tech/docs/en/system_tables/system.parts/
"""
OPERATIONS = frozenset({'DETACH', 'DROP', 'ATTACH', 'FREEZE', 'FETCH'})
@ -28,7 +27,7 @@ class SystemPart(Model):
partition = StringField() # Name of the partition, in the format YYYYMM.
name = StringField() # Name of the part.
# This field is present in the docs (https://clickhouse.yandex/docs/en/single/index.html#system-parts),
# This field is present in the docs (https://clickhouse.tech/docs/en/single/index.html#system-parts),
# but is absent in ClickHouse (in version 1.1.54245)
# replicated = UInt8Field() # Whether the part belongs to replicated data.
@ -52,19 +51,21 @@ class SystemPart(Model):
@classmethod
def table_name(cls):
return 'system.parts'
return 'parts'
"""
Next methods return SQL for some operations, which can be done with partitions
https://clickhouse.yandex/docs/en/query_language/queries/#manipulations-with-partitions-and-parts
https://clickhouse.tech/docs/en/query_language/queries/#manipulations-with-partitions-and-parts
"""
def _partition_operation_sql(self, operation, settings=None, from_part=None):
"""
Performs some operation over partition
:param db: Database object to execute operation on
:param operation: Operation to execute from SystemPart.OPERATIONS set
:param settings: Settings for executing request to ClickHouse over db.raw() method
:return: Operation execution result
- `db`: Database object to execute operation on
- `operation`: Operation to execute from SystemPart.OPERATIONS set
- `settings`: Settings for executing request to ClickHouse over db.raw() method
Returns: Operation execution result
"""
operation = operation.upper()
assert operation in self.OPERATIONS, "operation must be in [%s]" % comma_join(self.OPERATIONS)
@ -77,41 +78,51 @@ class SystemPart(Model):
def detach(self, settings=None):
"""
Move a partition to the 'detached' directory and forget it.
:param settings: Settings for executing request to ClickHouse over db.raw() method
:return: SQL Query
- `settings`: Settings for executing request to ClickHouse over db.raw() method
Returns: SQL Query
"""
return self._partition_operation_sql('DETACH', settings=settings)
def drop(self, settings=None):
"""
Delete a partition
:param settings: Settings for executing request to ClickHouse over db.raw() method
:return: SQL Query
- `settings`: Settings for executing request to ClickHouse over db.raw() method
Returns: SQL Query
"""
return self._partition_operation_sql('DROP', settings=settings)
def attach(self, settings=None):
"""
Add a new part or partition from the 'detached' directory to the table.
:param settings: Settings for executing request to ClickHouse over db.raw() method
:return: SQL Query
- `settings`: Settings for executing request to ClickHouse over db.raw() method
Returns: SQL Query
"""
return self._partition_operation_sql('ATTACH', settings=settings)
def freeze(self, settings=None):
"""
Create a backup of a partition.
:param settings: Settings for executing request to ClickHouse over db.raw() method
:return: SQL Query
- `settings`: Settings for executing request to ClickHouse over db.raw() method
Returns: SQL Query
"""
return self._partition_operation_sql('FREEZE', settings=settings)
def fetch(self, zookeeper_path, settings=None):
"""
Download a partition from another server.
:param zookeeper_path: Path in zookeeper to fetch from
:param settings: Settings for executing request to ClickHouse over db.raw() method
:return: SQL Query
- `zookeeper_path`: Path in zookeeper to fetch from
- `settings`: Settings for executing request to ClickHouse over db.raw() method
Returns: SQL Query
"""
return self._partition_operation_sql('FETCH', settings=settings, from_part=zookeeper_path)
@ -119,27 +130,35 @@ class SystemPart(Model):
def get(cls, database, conditions=""):
"""
Get all data from system.parts table
:param database: A database object to fetch data from.
:param conditions: WHERE clause conditions. Database condition is added automatically
:return: A list of SystemPart objects
- `database`: A database object to fetch data from.
- `conditions`: WHERE clause conditions. Database condition is added automatically
Returns: A list of SystemPart objects
"""
assert isinstance(database, Database), "database must be database.Database class instance"
assert isinstance(conditions, string_types), "conditions must be a string"
assert isinstance(conditions, str), "conditions must be a string"
if conditions:
conditions += " AND"
field_names = ','.join(cls.fields())
return database.select("SELECT %s FROM %s WHERE %s database='%s'" %
(field_names, cls.table_name(), conditions, database.db_name), model_class=cls)
return database.select("SELECT %s FROM `system`.%s WHERE %s database='%s'" %
(field_names, cls.table_name(), conditions, database.db_name), model_class=cls)
@classmethod
def get_active(cls, database, conditions=""):
"""
Gets active data from system.parts table
:param database: A database object to fetch data from.
:param conditions: WHERE clause conditions. Database and active conditions are added automatically
:return: A list of SystemPart objects
- `database`: A database object to fetch data from.
- `conditions`: WHERE clause conditions. Database and active conditions are added automatically
Returns: A list of SystemPart objects
"""
if conditions:
conditions += ' AND '
conditions += 'active'
return SystemPart.get(database, conditions=conditions)
# Expose only relevant classes in import *
__all__ = [c.__name__ for c in [SystemPart]]

View File

@ -1,7 +1,6 @@
from __future__ import unicode_literals
from six import string_types, binary_type, text_type, PY3
import codecs
import re
from datetime import date, datetime, tzinfo, timedelta
SPECIAL_CHARS = {
@ -28,19 +27,57 @@ def escape(value, quote=True):
def escape_one(match):
return SPECIAL_CHARS[match.group(0)]
if isinstance(value, string_types):
if isinstance(value, str):
value = SPECIAL_CHARS_REGEX.sub(escape_one, value)
if quote:
value = "'" + value + "'"
return text_type(value)
return str(value)
def unescape(value):
return codecs.escape_decode(value)[0].decode('utf-8')
def string_or_func(obj):
return obj.to_sql() if hasattr(obj, 'to_sql') else obj
def arg_to_sql(arg):
"""
Converts a function argument to SQL string according to its type.
Supports functions, model fields, strings, dates, datetimes, timedeltas, booleans,
None, numbers, timezones, arrays/iterables.
"""
from infi.clickhouse_orm import Field, StringField, DateTimeField, DateField, F, QuerySet
if isinstance(arg, F):
return arg.to_sql()
if isinstance(arg, Field):
return "`%s`" % arg
if isinstance(arg, str):
return StringField().to_db_string(arg)
if isinstance(arg, datetime):
return "toDateTime(%s)" % DateTimeField().to_db_string(arg)
if isinstance(arg, date):
return "toDate('%s')" % arg.isoformat()
if isinstance(arg, timedelta):
return "toIntervalSecond(%d)" % int(arg.total_seconds())
if isinstance(arg, bool):
return str(int(arg))
if isinstance(arg, tzinfo):
return StringField().to_db_string(arg.tzname(None))
if arg is None:
return 'NULL'
if isinstance(arg, QuerySet):
return "(%s)" % arg
if isinstance(arg, tuple):
return '(' + comma_join(arg_to_sql(x) for x in arg) + ')'
if is_iterable(arg):
return '[' + comma_join(arg_to_sql(x) for x in arg) + ']'
return str(arg)
def parse_tsv(line):
if PY3 and isinstance(line, binary_type):
if isinstance(line, bytes):
line = line.decode()
if line and line[-1] == '\n':
line = line[:-1]
@ -49,19 +86,19 @@ def parse_tsv(line):
def parse_array(array_string):
"""
Parse an array string as returned by clickhouse. For example:
Parse an array or tuple string as returned by clickhouse. For example:
"['hello', 'world']" ==> ["hello", "world"]
"[1,2,3]" ==> [1, 2, 3]
"(1,2,3)" ==> [1, 2, 3]
"""
# Sanity check
if len(array_string) < 2 or array_string[0] != '[' or array_string[-1] != ']':
if len(array_string) < 2 or array_string[0] not in '[(' or array_string[-1] not in '])':
raise ValueError('Invalid array string: "%s"' % array_string)
# Drop opening brace
array_string = array_string[1:]
# Go over the string, lopping off each value at the beginning until nothing is left
values = []
while True:
if array_string == ']':
if array_string in '])':
# End of array
return values
elif array_string[0] in ', ':
@ -93,8 +130,38 @@ def import_submodules(package_name):
}
def comma_join(items):
def comma_join(items, stringify=False):
"""
Joins an iterable of strings with commas.
"""
return ', '.join(items)
if stringify:
return ', '.join(str(item) for item in items)
else:
return ', '.join(items)
def is_iterable(obj):
"""
Checks if the given object is iterable.
"""
try:
iter(obj)
return True
except TypeError:
return False
def get_subclass_names(locals, base_class):
from inspect import isclass
return [c.__name__ for c in locals.values() if isclass(c) and issubclass(c, base_class)]
class NoValue:
'''
A sentinel for fields with an expression for a default value,
that were not assigned a value yet.
'''
def __repr__(self):
return 'NO_VALUE'
NO_VALUE = NoValue()

View File

@ -1,5 +1,4 @@
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import unittest
from infi.clickhouse_orm.database import Database
@ -21,6 +20,10 @@ class TestCaseWithData(unittest.TestCase):
self.database.drop_table(Person)
self.database.drop_database()
def _insert_all(self):
self.database.insert(self._sample_data())
self.assertTrue(self.database.count(Person))
def _insert_and_check(self, data, count, batch_size=1000):
self.database.insert(data, batch_size=batch_size)
self.assertEqual(count, self.database.count(Person))
@ -32,10 +35,11 @@ class TestCaseWithData(unittest.TestCase):
yield Person(**entry)
class Person(Model):
first_name = StringField()
last_name = StringField()
last_name = LowCardinalityField(StringField())
birthday = DateField()
height = Float32Field()
passport = NullableField(UInt32Field())

View File

@ -0,0 +1,7 @@
from infi.clickhouse_orm import migrations
from ..test_migrations import *
operations = [
migrations.AlterTable(Model4_compressed),
migrations.AlterTable(Model2LowCardinality)
]

View File

@ -0,0 +1,6 @@
from infi.clickhouse_orm import migrations
from ..test_migrations import *
operations = [
migrations.CreateTable(ModelWithConstraints)
]

View File

@ -0,0 +1,6 @@
from infi.clickhouse_orm import migrations
from ..test_migrations import *
operations = [
migrations.AlterConstraints(ModelWithConstraints2)
]

View File

@ -0,0 +1,6 @@
from infi.clickhouse_orm import migrations
from ..test_migrations import *
operations = [
migrations.CreateTable(ModelWithIndex)
]

View File

@ -0,0 +1,6 @@
from infi.clickhouse_orm import migrations
from ..test_migrations import *
operations = [
migrations.AlterIndexes(ModelWithIndex2, reindex=True)
]

View File

@ -1,14 +1,14 @@
from __future__ import unicode_literals
import unittest
from datetime import date
from infi.clickhouse_orm.database import Database
from infi.clickhouse_orm.models import Model
from infi.clickhouse_orm.models import Model, NO_VALUE
from infi.clickhouse_orm.fields import *
from infi.clickhouse_orm.engines import *
from infi.clickhouse_orm.funcs import F
class MaterializedFieldsTest(unittest.TestCase):
class AliasFieldsTest(unittest.TestCase):
def setUp(self):
self.database = Database('test-db', log_statements=True)
@ -25,7 +25,7 @@ class MaterializedFieldsTest(unittest.TestCase):
)
self.database.insert([instance])
# We can't select * from table, as it doesn't select materialized and alias fields
query = 'SELECT date_field, int_field, str_field, alias_int, alias_date, alias_str' \
query = 'SELECT date_field, int_field, str_field, alias_int, alias_date, alias_str, alias_func' \
' FROM $db.%s ORDER BY alias_date' % ModelWithAliasFields.table_name()
for model_cls in (ModelWithAliasFields, None):
results = list(self.database.select(query, model_cls))
@ -36,6 +36,7 @@ class MaterializedFieldsTest(unittest.TestCase):
self.assertEqual(results[0].alias_int, instance.int_field)
self.assertEqual(results[0].alias_str, instance.str_field)
self.assertEqual(results[0].alias_date, instance.date_field)
self.assertEqual(results[0].alias_func, 201608)
def test_assignment_error(self):
# I can't prevent assigning at all, in case db.select statements with model provided sets model fields.
@ -55,6 +56,14 @@ class MaterializedFieldsTest(unittest.TestCase):
with self.assertRaises(AssertionError):
StringField(alias='str_field', materialized='str_field')
def test_default_value(self):
instance = ModelWithAliasFields()
self.assertEqual(instance.alias_str, NO_VALUE)
# Check that NO_VALUE can be assigned to a field
instance.str_field = NO_VALUE
# Check that NO_VALUE can be assigned when creating a new instance
instance2 = ModelWithAliasFields(**instance.to_dict())
class ModelWithAliasFields(Model):
int_field = Int32Field()
@ -64,5 +73,6 @@ class ModelWithAliasFields(Model):
alias_str = StringField(alias=u'str_field')
alias_int = Int32Field(alias='int_field')
alias_date = DateField(alias='date_field')
alias_func = Int32Field(alias=F.toYYYYMM(date_field))
engine = MergeTree('date_field', ('date_field',))

View File

@ -1,4 +1,3 @@
from __future__ import unicode_literals
import unittest
from datetime import date

View File

@ -1,5 +1,4 @@
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import unittest
from infi.clickhouse_orm.models import BufferModel

View File

@ -0,0 +1,123 @@
import unittest
import datetime
import pytz
from infi.clickhouse_orm.database import Database
from infi.clickhouse_orm.models import Model, NO_VALUE
from infi.clickhouse_orm.fields import *
from infi.clickhouse_orm.engines import *
from infi.clickhouse_orm.utils import parse_tsv
class CompressedFieldsTestCase(unittest.TestCase):
def setUp(self):
self.database = Database('test-db', log_statements=True)
self.database.create_table(CompressedModel)
def tearDown(self):
self.database.drop_database()
def test_defaults(self):
# Check that all fields have their explicit or implicit defaults
instance = CompressedModel()
self.database.insert([instance])
self.assertEqual(instance.date_field, datetime.date(1970, 1, 1))
self.assertEqual(instance.datetime_field, datetime.datetime(1970, 1, 1, tzinfo=pytz.utc))
self.assertEqual(instance.string_field, 'dozo')
self.assertEqual(instance.int64_field, 42)
self.assertEqual(instance.float_field, 0)
self.assertEqual(instance.nullable_field, None)
self.assertEqual(instance.array_field, [])
def test_assignment(self):
# Check that all fields are assigned during construction
kwargs = dict(
uint64_field=217,
date_field=datetime.date(1973, 12, 6),
datetime_field=datetime.datetime(2000, 5, 24, 10, 22, tzinfo=pytz.utc),
string_field='aloha',
int64_field=-50,
float_field=3.14,
nullable_field=-2.718281,
array_field=['123456789123456','','a']
)
instance = CompressedModel(**kwargs)
self.database.insert([instance])
for name, value in kwargs.items():
self.assertEqual(kwargs[name], getattr(instance, name))
def test_string_conversion(self):
# Check field conversion from string during construction
instance = CompressedModel(date_field='1973-12-06', int64_field='100', float_field='7', nullable_field=None, array_field='[a,b,c]')
self.assertEqual(instance.date_field, datetime.date(1973, 12, 6))
self.assertEqual(instance.int64_field, 100)
self.assertEqual(instance.float_field, 7)
self.assertEqual(instance.nullable_field, None)
self.assertEqual(instance.array_field, ['a', 'b', 'c'])
# Check field conversion from string during assignment
instance.int64_field = '99'
self.assertEqual(instance.int64_field, 99)
def test_to_dict(self):
instance = CompressedModel(date_field='1973-12-06', int64_field='100', float_field='7', array_field='[a,b,c]')
self.assertDictEqual(instance.to_dict(), {
"date_field": datetime.date(1973, 12, 6),
"int64_field": 100,
"float_field": 7.0,
"datetime_field": datetime.datetime(1970, 1, 1, 0, 0, 0, tzinfo=pytz.utc),
"alias_field": NO_VALUE,
'string_field': 'dozo',
'nullable_field': None,
'uint64_field': 0,
'array_field': ['a','b','c']
})
self.assertDictEqual(instance.to_dict(include_readonly=False), {
"date_field": datetime.date(1973, 12, 6),
"int64_field": 100,
"float_field": 7.0,
"datetime_field": datetime.datetime(1970, 1, 1, 0, 0, 0, tzinfo=pytz.utc),
'string_field': 'dozo',
'nullable_field': None,
'uint64_field': 0,
'array_field': ['a', 'b', 'c']
})
self.assertDictEqual(
instance.to_dict(include_readonly=False, field_names=('int64_field', 'alias_field', 'datetime_field')), {
"int64_field": 100,
"datetime_field": datetime.datetime(1970, 1, 1, 0, 0, 0, tzinfo=pytz.utc)
})
def test_confirm_compression_codec(self):
if self.database.server_version < (19, 17):
raise unittest.SkipTest('ClickHouse version too old')
instance = CompressedModel(date_field='1973-12-06', int64_field='100', float_field='7', array_field='[a,b,c]')
self.database.insert([instance])
r = self.database.raw("select name, compression_codec from system.columns where table = '{}' and database='{}' FORMAT TabSeparatedWithNamesAndTypes".format(instance.table_name(), self.database.db_name))
lines = r.splitlines()
field_names = parse_tsv(lines[0])
field_types = parse_tsv(lines[1])
data = [tuple(parse_tsv(line)) for line in lines[2:]]
self.assertListEqual(data, [('uint64_field', 'CODEC(ZSTD(10))'),
('datetime_field', 'CODEC(Delta(4), ZSTD(1))'),
('date_field', 'CODEC(Delta(4), ZSTD(22))'),
('int64_field', 'CODEC(LZ4)'),
('string_field', 'CODEC(LZ4HC(10))'),
('nullable_field', 'CODEC(ZSTD(1))'),
('array_field', 'CODEC(Delta(2), LZ4HC(0))'),
('float_field', 'CODEC(NONE)'),
('alias_field', '')])
class CompressedModel(Model):
uint64_field = UInt64Field(codec='ZSTD(10)')
datetime_field = DateTimeField(codec='Delta,ZSTD')
date_field = DateField(codec='Delta(4),ZSTD(22)')
int64_field = Int64Field(default=42, codec='LZ4')
string_field = StringField(default='dozo', codec='LZ4HC(10)')
nullable_field = NullableField(Float32Field(), codec='ZSTD')
array_field = ArrayField(FixedStringField(length=15), codec='Delta(2),LZ4HC')
float_field = Float32Field(codec='NONE')
alias_field = Float32Field(alias='float_field', codec='ZSTD(4)')
engine = MergeTree('datetime_field', ('uint64_field', 'datetime_field'))

44
tests/test_constraints.py Normal file
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@ -0,0 +1,44 @@
import unittest
from infi.clickhouse_orm import *
from .base_test_with_data import Person
class ConstraintsTest(unittest.TestCase):
def setUp(self):
self.database = Database('test-db', log_statements=True)
if self.database.server_version < (19, 14, 3, 3):
raise unittest.SkipTest('ClickHouse version too old')
self.database.create_table(PersonWithConstraints)
def tearDown(self):
self.database.drop_database()
def test_insert_valid_values(self):
self.database.insert([
PersonWithConstraints(first_name="Mike", last_name="Caruzo", birthday="2000-01-01", height=1.66)
])
def test_insert_invalid_values(self):
with self.assertRaises(ServerError) as e:
self.database.insert([
PersonWithConstraints(first_name="Mike", last_name="Caruzo", birthday="2100-01-01", height=1.66)
])
self.assertEqual(e.code, 469)
self.assertTrue('Constraint `birthday_in_the_past`' in e.message)
with self.assertRaises(ServerError) as e:
self.database.insert([
PersonWithConstraints(first_name="Mike", last_name="Caruzo", birthday="1970-01-01", height=3)
])
self.assertEqual(e.code, 469)
self.assertTrue('Constraint `max_height`' in e.message)
class PersonWithConstraints(Person):
birthday_in_the_past = Constraint(Person.birthday <= F.today())
max_height = Constraint(Person.height <= 2.75)

View File

@ -1,4 +1,3 @@
from __future__ import unicode_literals
import unittest
from infi.clickhouse_orm.database import Database
from infi.clickhouse_orm.fields import Field, Int16Field

View File

@ -1,8 +1,13 @@
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import unittest
import datetime
from infi.clickhouse_orm.database import ServerError, DatabaseException
from infi.clickhouse_orm.models import Model
from infi.clickhouse_orm.engines import Memory
from infi.clickhouse_orm.fields import *
from infi.clickhouse_orm.funcs import F
from infi.clickhouse_orm.query import Q
from .base_test_with_data import *
@ -26,12 +31,32 @@ class DatabaseTestCase(TestCaseWithData):
def test_insert__medium_batches(self):
self._insert_and_check(self._sample_data(), len(data), batch_size=100)
def test_insert__funcs_as_default_values(self):
if self.database.server_version < (20, 1, 2, 4):
raise unittest.SkipTest('Buggy in server versions before 20.1.2.4')
class TestModel(Model):
a = DateTimeField(default=datetime.datetime(2020, 1, 1))
b = DateField(default=F.toDate(a))
c = Int32Field(default=7)
d = Int32Field(default=c * 5)
engine = Memory()
self.database.create_table(TestModel)
self.database.insert([TestModel()])
t = TestModel.objects_in(self.database)[0]
self.assertEqual(str(t.b), '2020-01-01')
self.assertEqual(t.d, 35)
def test_count(self):
self.database.insert(self._sample_data())
self.assertEqual(self.database.count(Person), 100)
# Conditions as string
self.assertEqual(self.database.count(Person, "first_name = 'Courtney'"), 2)
self.assertEqual(self.database.count(Person, "birthday > '2000-01-01'"), 22)
self.assertEqual(self.database.count(Person, "birthday < '1970-03-01'"), 0)
# Conditions as expression
self.assertEqual(self.database.count(Person, Person.birthday > datetime.date(2000, 1, 1)), 22)
# Conditions as Q object
self.assertEqual(self.database.count(Person, Q(birthday__gt=datetime.date(2000, 1, 1))), 22)
def test_select(self):
self._insert_and_check(self._sample_data(), len(data))
@ -128,8 +153,15 @@ class DatabaseTestCase(TestCaseWithData):
def test_pagination_with_conditions(self):
self._insert_and_check(self._sample_data(), len(data))
# Conditions as string
page = self.database.paginate(Person, 'first_name, last_name', 1, 100, conditions="first_name < 'Ava'")
self.assertEqual(page.number_of_objects, 10)
# Conditions as expression
page = self.database.paginate(Person, 'first_name, last_name', 1, 100, conditions=Person.first_name < 'Ava')
self.assertEqual(page.number_of_objects, 10)
# Conditions as Q object
page = self.database.paginate(Person, 'first_name, last_name', 1, 100, conditions=Q(first_name__lt='Ava'))
self.assertEqual(page.number_of_objects, 10)
def test_special_chars(self):
s = u'אבגד \\\'"`,.;éåäöšž\n\t\0\b\r'
@ -149,8 +181,13 @@ class DatabaseTestCase(TestCaseWithData):
Database(self.database.db_name, username='default', password='wrong')
exc = cm.exception
self.assertEqual(exc.code, 193)
self.assertTrue(exc.message.startswith('Wrong password for user default'))
print(exc.code, exc.message)
if exc.code == 193: # ClickHouse version < 20.3
self.assertTrue(exc.message.startswith('Wrong password for user default'))
elif exc.code == 516: # ClickHouse version >= 20.3
self.assertTrue(exc.message.startswith('default: Authentication failed'))
else:
raise Exception('Unexpected error code - %s %s' % (exc.code, exc.message))
def test_nonexisting_db(self):
db = Database('db_not_here', autocreate=False)
@ -209,3 +246,48 @@ class DatabaseTestCase(TestCaseWithData):
# Remove the setting and see that now it works
self.database.add_setting('max_columns_to_read', None)
list(self.database.select('SELECT * from system.tables'))
def test_create_ad_hoc_field(self):
# Tests that create_ad_hoc_field works for all column types in the database
from infi.clickhouse_orm.models import ModelBase
query = "SELECT DISTINCT type FROM system.columns"
for row in self.database.select(query):
if row.type.startswith('Map'):
continue # Not supported yet
ModelBase.create_ad_hoc_field(row.type)
def test_get_model_for_table(self):
# Tests that get_model_for_table works for a non-system model
model = self.database.get_model_for_table('person')
self.assertFalse(model.is_system_model())
self.assertFalse(model.is_read_only())
self.assertEqual(model.table_name(), 'person')
# Read a few records
list(model.objects_in(self.database)[:10])
# Inserts should work too
self.database.insert([
model(first_name='aaa', last_name='bbb', height=1.77)
])
def test_get_model_for_table__system(self):
# Tests that get_model_for_table works for all system tables
query = "SELECT name FROM system.tables WHERE database='system'"
for row in self.database.select(query):
print(row.name)
if row.name in ('distributed_ddl_queue',):
continue # Not supported
try:
model = self.database.get_model_for_table(row.name, system_table=True)
except NotImplementedError:
continue # Table contains an unsupported field type
self.assertTrue(model.is_system_model())
self.assertTrue(model.is_read_only())
self.assertEqual(model.table_name(), row.name)
# Read a few records
try:
list(model.objects_in(self.database)[:10])
except ServerError as e:
if 'Not enough privileges' in e.message:
pass
else:
raise

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@ -1,5 +1,6 @@
from __future__ import unicode_literals
import unittest
import datetime
import pytz
from infi.clickhouse_orm.database import Database
from infi.clickhouse_orm.models import Model
@ -11,6 +12,8 @@ class DateFieldsTest(unittest.TestCase):
def setUp(self):
self.database = Database('test-db', log_statements=True)
if self.database.server_version < (20, 1, 2, 4):
raise unittest.SkipTest('ClickHouse version too old')
self.database.create_table(ModelWithDate)
def tearDown(self):
@ -18,8 +21,17 @@ class DateFieldsTest(unittest.TestCase):
def test_ad_hoc_model(self):
self.database.insert([
ModelWithDate(date_field='2016-08-30', datetime_field='2016-08-30 03:50:00'),
ModelWithDate(date_field='2016-08-31', datetime_field='2016-08-31 01:30:00')
ModelWithDate(
date_field='2016-08-30',
datetime_field='2016-08-30 03:50:00',
datetime64_field='2016-08-30 03:50:00.123456',
datetime64_3_field='2016-08-30 03:50:00.123456'
),
ModelWithDate(
date_field='2016-08-31',
datetime_field='2016-08-31 01:30:00',
datetime64_field='2016-08-31 01:30:00.123456',
datetime64_3_field='2016-08-31 01:30:00.123456')
])
# toStartOfHour returns DateTime('Asia/Yekaterinburg') in my case, so I test it here to
@ -33,10 +45,75 @@ class DateFieldsTest(unittest.TestCase):
self.assertEqual(results[1].datetime_field, datetime.datetime(2016, 8, 31, 1, 30, 0, tzinfo=pytz.UTC))
self.assertEqual(results[1].hour_start, datetime.datetime(2016, 8, 31, 1, 0, 0, tzinfo=pytz.UTC))
self.assertEqual(results[0].datetime64_field, datetime.datetime(2016, 8, 30, 3, 50, 0, 123456, tzinfo=pytz.UTC))
self.assertEqual(results[0].datetime64_3_field, datetime.datetime(2016, 8, 30, 3, 50, 0, 123000,
tzinfo=pytz.UTC))
self.assertEqual(results[1].datetime64_field, datetime.datetime(2016, 8, 31, 1, 30, 0, 123456, tzinfo=pytz.UTC))
self.assertEqual(results[1].datetime64_3_field, datetime.datetime(2016, 8, 31, 1, 30, 0, 123000,
tzinfo=pytz.UTC))
class ModelWithDate(Model):
date_field = DateField()
datetime_field = DateTimeField()
datetime64_field = DateTime64Field()
datetime64_3_field = DateTime64Field(precision=3)
engine = MergeTree('date_field', ('date_field',))
class ModelWithTz(Model):
datetime_no_tz_field = DateTimeField() # server tz
datetime_tz_field = DateTimeField(timezone='Europe/Madrid')
datetime64_tz_field = DateTime64Field(timezone='Europe/Madrid')
datetime_utc_field = DateTimeField(timezone=pytz.UTC)
engine = MergeTree('datetime_no_tz_field', ('datetime_no_tz_field',))
class DateTimeFieldWithTzTest(unittest.TestCase):
def setUp(self):
self.database = Database('test-db', log_statements=True)
if self.database.server_version < (20, 1, 2, 4):
raise unittest.SkipTest('ClickHouse version too old')
self.database.create_table(ModelWithTz)
def tearDown(self):
self.database.drop_database()
def test_ad_hoc_model(self):
self.database.insert([
ModelWithTz(
datetime_no_tz_field='2020-06-11 04:00:00',
datetime_tz_field='2020-06-11 04:00:00',
datetime64_tz_field='2020-06-11 04:00:00',
datetime_utc_field='2020-06-11 04:00:00',
),
ModelWithTz(
datetime_no_tz_field='2020-06-11 07:00:00+0300',
datetime_tz_field='2020-06-11 07:00:00+0300',
datetime64_tz_field='2020-06-11 07:00:00+0300',
datetime_utc_field='2020-06-11 07:00:00+0300',
),
])
query = 'SELECT * from $db.modelwithtz ORDER BY datetime_no_tz_field'
results = list(self.database.select(query))
self.assertEqual(results[0].datetime_no_tz_field, datetime.datetime(2020, 6, 11, 4, 0, 0, tzinfo=pytz.UTC))
self.assertEqual(results[0].datetime_tz_field, datetime.datetime(2020, 6, 11, 4, 0, 0, tzinfo=pytz.UTC))
self.assertEqual(results[0].datetime64_tz_field, datetime.datetime(2020, 6, 11, 4, 0, 0, tzinfo=pytz.UTC))
self.assertEqual(results[0].datetime_utc_field, datetime.datetime(2020, 6, 11, 4, 0, 0, tzinfo=pytz.UTC))
self.assertEqual(results[1].datetime_no_tz_field, datetime.datetime(2020, 6, 11, 4, 0, 0, tzinfo=pytz.UTC))
self.assertEqual(results[1].datetime_tz_field, datetime.datetime(2020, 6, 11, 4, 0, 0, tzinfo=pytz.UTC))
self.assertEqual(results[1].datetime64_tz_field, datetime.datetime(2020, 6, 11, 4, 0, 0, tzinfo=pytz.UTC))
self.assertEqual(results[1].datetime_utc_field, datetime.datetime(2020, 6, 11, 4, 0, 0, tzinfo=pytz.UTC))
self.assertEqual(results[0].datetime_no_tz_field.tzinfo.zone, self.database.server_timezone.zone)
self.assertEqual(results[0].datetime_tz_field.tzinfo.zone, pytz.timezone('Europe/Madrid').zone)
self.assertEqual(results[0].datetime64_tz_field.tzinfo.zone, pytz.timezone('Europe/Madrid').zone)
self.assertEqual(results[0].datetime_utc_field.tzinfo.zone, pytz.timezone('UTC').zone)
self.assertEqual(results[1].datetime_no_tz_field.tzinfo.zone, self.database.server_timezone.zone)
self.assertEqual(results[1].datetime_tz_field.tzinfo.zone, pytz.timezone('Europe/Madrid').zone)
self.assertEqual(results[1].datetime64_tz_field.tzinfo.zone, pytz.timezone('Europe/Madrid').zone)
self.assertEqual(results[1].datetime_utc_field.tzinfo.zone, pytz.timezone('UTC').zone)

View File

@ -1,5 +1,4 @@
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import unittest
from decimal import Decimal
@ -13,15 +12,11 @@ class DecimalFieldsTest(unittest.TestCase):
def setUp(self):
self.database = Database('test-db', log_statements=True)
self.database.add_setting('allow_experimental_decimal_type', 1)
try:
self.database.create_table(DecimalModel)
except ServerError as e:
if 'Unknown setting' in e.message:
# This ClickHouse version does not support decimals yet
raise unittest.SkipTest(e.message)
else:
raise
# This ClickHouse version does not support decimals yet
raise unittest.SkipTest(e.message)
def tearDown(self):
self.database.drop_database()

131
tests/test_dictionaries.py Normal file
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@ -0,0 +1,131 @@
import unittest
import logging
from infi.clickhouse_orm import *
class DictionaryTestMixin:
def setUp(self):
self.database = Database('test-db', log_statements=True)
if self.database.server_version < (20, 1, 11, 73):
raise unittest.SkipTest('ClickHouse version too old')
self._create_dictionary()
def tearDown(self):
self.database.drop_database()
def _test_func(self, func, expected_value):
sql = 'SELECT %s AS value' % func.to_sql()
logging.info(sql)
result = list(self.database.select(sql))
logging.info('\t==> %s', result[0].value if result else '<empty>')
print('Comparing %s to %s' % (result[0].value, expected_value))
self.assertEqual(result[0].value, expected_value)
return result[0].value if result else None
class SimpleDictionaryTest(DictionaryTestMixin, unittest.TestCase):
def _create_dictionary(self):
# Create a table to be used as source for the dictionary
self.database.create_table(NumberName)
self.database.insert(
NumberName(number=i, name=name)
for i, name in enumerate('Zero One Two Three Four Five Six Seven Eight Nine Ten'.split())
)
# Create the dictionary
self.database.raw("""
CREATE DICTIONARY numbers_dict(
number UInt64,
name String DEFAULT '?'
)
PRIMARY KEY number
SOURCE(CLICKHOUSE(
HOST 'localhost' PORT 9000 USER 'default' PASSWORD '' DB 'test-db' TABLE 'numbername'
))
LIFETIME(100)
LAYOUT(HASHED());
""")
self.dict_name = 'test-db.numbers_dict'
def test_dictget(self):
self._test_func(F.dictGet(self.dict_name, 'name', F.toUInt64(3)), 'Three')
self._test_func(F.dictGet(self.dict_name, 'name', F.toUInt64(99)), '?')
def test_dictgetordefault(self):
self._test_func(F.dictGetOrDefault(self.dict_name, 'name', F.toUInt64(3), 'n/a'), 'Three')
self._test_func(F.dictGetOrDefault(self.dict_name, 'name', F.toUInt64(99), 'n/a'), 'n/a')
def test_dicthas(self):
self._test_func(F.dictHas(self.dict_name, F.toUInt64(3)), 1)
self._test_func(F.dictHas(self.dict_name, F.toUInt64(99)), 0)
class HierarchicalDictionaryTest(DictionaryTestMixin, unittest.TestCase):
def _create_dictionary(self):
# Create a table to be used as source for the dictionary
self.database.create_table(Region)
self.database.insert([
Region(region_id=1, parent_region=0, region_name='Russia'),
Region(region_id=2, parent_region=1, region_name='Moscow'),
Region(region_id=3, parent_region=2, region_name='Center'),
Region(region_id=4, parent_region=0, region_name='Great Britain'),
Region(region_id=5, parent_region=4, region_name='London'),
])
# Create the dictionary
self.database.raw("""
CREATE DICTIONARY regions_dict(
region_id UInt64,
parent_region UInt64 HIERARCHICAL,
region_name String DEFAULT '?'
)
PRIMARY KEY region_id
SOURCE(CLICKHOUSE(
HOST 'localhost' PORT 9000 USER 'default' PASSWORD '' DB 'test-db' TABLE 'region'
))
LIFETIME(100)
LAYOUT(HASHED());
""")
self.dict_name = 'test-db.regions_dict'
def test_dictget(self):
self._test_func(F.dictGet(self.dict_name, 'region_name', F.toUInt64(3)), 'Center')
self._test_func(F.dictGet(self.dict_name, 'parent_region', F.toUInt64(3)), 2)
self._test_func(F.dictGet(self.dict_name, 'region_name', F.toUInt64(99)), '?')
def test_dictgetordefault(self):
self._test_func(F.dictGetOrDefault(self.dict_name, 'region_name', F.toUInt64(3), 'n/a'), 'Center')
self._test_func(F.dictGetOrDefault(self.dict_name, 'region_name', F.toUInt64(99), 'n/a'), 'n/a')
def test_dicthas(self):
self._test_func(F.dictHas(self.dict_name, F.toUInt64(3)), 1)
self._test_func(F.dictHas(self.dict_name, F.toUInt64(99)), 0)
def test_dictgethierarchy(self):
self._test_func(F.dictGetHierarchy(self.dict_name, F.toUInt64(3)), [3, 2, 1])
self._test_func(F.dictGetHierarchy(self.dict_name, F.toUInt64(99)), [])
def test_dictisin(self):
self._test_func(F.dictIsIn(self.dict_name, F.toUInt64(3), F.toUInt64(1)), 1)
self._test_func(F.dictIsIn(self.dict_name, F.toUInt64(3), F.toUInt64(4)), 0)
self._test_func(F.dictIsIn(self.dict_name, F.toUInt64(99), F.toUInt64(4)), 0)
class NumberName(Model):
''' A table to act as a source for the dictionary '''
number = UInt64Field()
name = StringField()
engine = Memory()
class Region(Model):
region_id = UInt64Field()
parent_region = UInt64Field()
region_name = StringField()
engine = Memory()

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@ -1,11 +1,7 @@
from __future__ import unicode_literals
import unittest
import datetime
from infi.clickhouse_orm.system_models import SystemPart
from infi.clickhouse_orm.database import Database, DatabaseException, ServerError
from infi.clickhouse_orm.models import Model, MergeModel, DistributedModel
from infi.clickhouse_orm.fields import *
from infi.clickhouse_orm.engines import *
from infi.clickhouse_orm import *
import logging
logging.getLogger("requests").setLevel(logging.WARNING)
@ -21,10 +17,10 @@ class _EnginesHelperTestCase(unittest.TestCase):
class EnginesTestCase(_EnginesHelperTestCase):
def _create_and_insert(self, model_class):
def _create_and_insert(self, model_class, **kwargs):
self.database.create_table(model_class)
self.database.insert([
model_class(date='2017-01-01', event_id=23423, event_group=13, event_count=7, event_version=1)
model_class(date='2017-01-01', event_id=23423, event_group=13, event_count=7, event_version=1, **kwargs)
])
def test_merge_tree(self):
@ -37,6 +33,11 @@ class EnginesTestCase(_EnginesHelperTestCase):
engine = MergeTree('date', ('date', 'event_id', 'event_group', 'intHash32(event_id)'), sampling_expr='intHash32(event_id)')
self._create_and_insert(TestModel)
def test_merge_tree_with_sampling__funcs(self):
class TestModel(SampleModel):
engine = MergeTree('date', ('date', 'event_id', 'event_group', F.intHash32(SampleModel.event_id)), sampling_expr=F.intHash32(SampleModel.event_id))
self._create_and_insert(TestModel)
def test_merge_tree_with_granularity(self):
class TestModel(SampleModel):
engine = MergeTree('date', ('date', 'event_id', 'event_group'), index_granularity=4096)
@ -154,7 +155,7 @@ class EnginesTestCase(_EnginesHelperTestCase):
)
self._create_and_insert(TestModel)
self._create_and_insert(TestCollapseModel)
self._create_and_insert(TestCollapseModel, sign=1)
# Result order may be different, lets sort manually
parts = sorted(list(SystemPart.get(self.database)), key=lambda x: x.table)
@ -165,6 +166,32 @@ class EnginesTestCase(_EnginesHelperTestCase):
self.assertEqual('testmodel', parts[1].table)
self.assertEqual('(201701, 13)'.replace(' ', ''), parts[1].partition.replace(' ', ''))
def test_custom_primary_key(self):
if self.database.server_version < (18, 1):
raise unittest.SkipTest('ClickHouse version too old')
class TestModel(SampleModel):
engine = MergeTree(
order_by=('date', 'event_id', 'event_group'),
partition_key=('toYYYYMM(date)',),
primary_key=('date', 'event_id')
)
class TestCollapseModel(SampleModel):
sign = Int8Field()
engine = CollapsingMergeTree(
sign_col='sign',
order_by=('date', 'event_id', 'event_group'),
partition_key=('toYYYYMM(date)',),
primary_key=('date', 'event_id')
)
self._create_and_insert(TestModel)
self._create_and_insert(TestCollapseModel, sign=1)
self.assertEqual(2, len(list(SystemPart.get(self.database))))
class SampleModel(Model):

View File

@ -1,4 +1,3 @@
from __future__ import unicode_literals
import unittest
from infi.clickhouse_orm.database import Database
@ -6,10 +5,7 @@ from infi.clickhouse_orm.models import Model
from infi.clickhouse_orm.fields import *
from infi.clickhouse_orm.engines import *
try:
Enum # exists in Python 3.4+
except NameError:
from enum import Enum # use the enum34 library instead
from enum import Enum
class EnumFieldsTest(unittest.TestCase):
@ -25,29 +21,35 @@ class EnumFieldsTest(unittest.TestCase):
def test_insert_and_select(self):
self.database.insert([
ModelWithEnum(date_field='2016-08-30', enum_field=Fruit.apple),
ModelWithEnum(date_field='2016-08-31', enum_field=Fruit.orange)
ModelWithEnum(date_field='2016-08-31', enum_field=Fruit.orange),
ModelWithEnum(date_field='2016-08-31', enum_field=Fruit.cherry)
])
query = 'SELECT * from $table ORDER BY date_field'
results = list(self.database.select(query, ModelWithEnum))
self.assertEqual(len(results), 2)
self.assertEqual(len(results), 3)
self.assertEqual(results[0].enum_field, Fruit.apple)
self.assertEqual(results[1].enum_field, Fruit.orange)
self.assertEqual(results[2].enum_field, Fruit.cherry)
def test_ad_hoc_model(self):
self.database.insert([
ModelWithEnum(date_field='2016-08-30', enum_field=Fruit.apple),
ModelWithEnum(date_field='2016-08-31', enum_field=Fruit.orange)
ModelWithEnum(date_field='2016-08-31', enum_field=Fruit.orange),
ModelWithEnum(date_field='2016-08-31', enum_field=Fruit.cherry)
])
query = 'SELECT * from $db.modelwithenum ORDER BY date_field'
results = list(self.database.select(query))
self.assertEqual(len(results), 2)
self.assertEqual(len(results), 3)
self.assertEqual(results[0].enum_field.name, Fruit.apple.name)
self.assertEqual(results[0].enum_field.value, Fruit.apple.value)
self.assertEqual(results[1].enum_field.name, Fruit.orange.name)
self.assertEqual(results[1].enum_field.value, Fruit.orange.value)
self.assertEqual(results[2].enum_field.name, Fruit.cherry.name)
self.assertEqual(results[2].enum_field.value, Fruit.cherry.value)
def test_conversion(self):
self.assertEqual(ModelWithEnum(enum_field=3).enum_field, Fruit.orange)
self.assertEqual(ModelWithEnum(enum_field=-7).enum_field, Fruit.cherry)
self.assertEqual(ModelWithEnum(enum_field='apple').enum_field, Fruit.apple)
self.assertEqual(ModelWithEnum(enum_field=Fruit.banana).enum_field, Fruit.banana)
@ -69,7 +71,7 @@ class EnumFieldsTest(unittest.TestCase):
self.assertEqual(results[0].enum_array, instance.enum_array)
Fruit = Enum('Fruit', u'apple banana orange')
Fruit = Enum('Fruit', [('apple', 1), ('banana', 2), ('orange', 3), ('cherry', -7)])
class ModelWithEnum(Model):
@ -86,3 +88,4 @@ class ModelWithEnumArray(Model):
enum_array = ArrayField(Enum16Field(Fruit))
engine = MergeTree('date_field', ('date_field',))

View File

@ -1,5 +1,4 @@
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import unittest
from infi.clickhouse_orm.database import Database

738
tests/test_funcs.py Normal file
View File

@ -0,0 +1,738 @@
import unittest
from .base_test_with_data import *
from .test_querysets import SampleModel
from datetime import date, datetime, tzinfo, timedelta
import pytz
from ipaddress import IPv4Address, IPv6Address
import logging
from decimal import Decimal
from infi.clickhouse_orm.database import ServerError
from infi.clickhouse_orm.utils import NO_VALUE
from infi.clickhouse_orm.funcs import F
class FuncsTestCase(TestCaseWithData):
def setUp(self):
super(FuncsTestCase, self).setUp()
self.database.insert(self._sample_data())
def _test_qs(self, qs, expected_count):
logging.info(qs.as_sql())
count = 0
for instance in qs:
count += 1
logging.info('\t[%d]\t%s' % (count, instance.to_dict()))
self.assertEqual(count, expected_count)
self.assertEqual(qs.count(), expected_count)
def _test_func(self, func, expected_value=NO_VALUE):
sql = 'SELECT %s AS value' % func.to_sql()
logging.info(sql)
try:
result = list(self.database.select(sql))
logging.info('\t==> %s', result[0].value if result else '<empty>')
if expected_value != NO_VALUE:
print('Comparing %s to %s' % (result[0].value, expected_value))
self.assertEqual(result[0].value, expected_value)
return result[0].value if result else None
except ServerError as e:
if 'Unknown function' in e.message:
logging.warning(e.message)
return # ignore functions that don't exist in the used ClickHouse version
raise
def _test_aggr(self, func, expected_value=NO_VALUE):
qs = Person.objects_in(self.database).aggregate(value=func)
logging.info(qs.as_sql())
try:
result = list(qs)
logging.info('\t==> %s', result[0].value if result else '<empty>')
if expected_value != NO_VALUE:
self.assertEqual(result[0].value, expected_value)
return result[0].value if result else None
except ServerError as e:
if 'Unknown function' in e.message:
logging.warning(e.message)
return # ignore functions that don't exist in the used ClickHouse version
raise
def test_func_to_sql(self):
# No args
self.assertEqual(F('func').to_sql(), 'func()')
# String args
self.assertEqual(F('func', "Wendy's", u"Wendy's").to_sql(), "func('Wendy\\'s', 'Wendy\\'s')")
# Numeric args
self.assertEqual(F('func', 1, 1.1, Decimal('3.3')).to_sql(), "func(1, 1.1, 3.3)")
# Date args
self.assertEqual(F('func', date(2018, 12, 31)).to_sql(), "func(toDate('2018-12-31'))")
# Datetime args
self.assertEqual(F('func', datetime(2018, 12, 31)).to_sql(), "func(toDateTime('1546214400'))")
# Boolean args
self.assertEqual(F('func', True, False).to_sql(), "func(1, 0)")
# Timezone args
self.assertEqual(F('func', pytz.utc).to_sql(), "func('UTC')")
self.assertEqual(F('func', pytz.timezone('Europe/Athens')).to_sql(), "func('Europe/Athens')")
# Null args
self.assertEqual(F('func', None).to_sql(), "func(NULL)")
# Fields as args
self.assertEqual(F('func', SampleModel.color).to_sql(), "func(`color`)")
# Funcs as args
self.assertEqual(F('func', F('sqrt', 25)).to_sql(), 'func(sqrt(25))')
# Iterables as args
x = [1, 'z', F('foo', 17)]
for y in [x, iter(x)]:
self.assertEqual(F('func', y, 5).to_sql(), "func([1, 'z', foo(17)], 5)")
# Tuples as args
self.assertEqual(F('func', [(1, 2), (3, 4)]).to_sql(), "func([(1, 2), (3, 4)])")
self.assertEqual(F('func', tuple(x), 5).to_sql(), "func((1, 'z', foo(17)), 5)")
# Binary operator functions
self.assertEqual(F.plus(1, 2).to_sql(), "(1 + 2)")
self.assertEqual(F.lessOrEquals(1, 2).to_sql(), "(1 <= 2)")
def test_filter_float_field(self):
qs = Person.objects_in(self.database)
# Height > 2
self._test_qs(qs.filter(F.greater(Person.height, 2)), 0)
self._test_qs(qs.filter(Person.height > 2), 0)
# Height > 1.61
self._test_qs(qs.filter(F.greater(Person.height, 1.61)), 96)
self._test_qs(qs.filter(Person.height > 1.61), 96)
# Height < 1.61
self._test_qs(qs.filter(F.less(Person.height, 1.61)), 4)
self._test_qs(qs.filter(Person.height < 1.61), 4)
def test_filter_date_field(self):
qs = Person.objects_in(self.database)
# People born on the 30th
self._test_qs(qs.filter(F('equals', F('toDayOfMonth', Person.birthday), 30)), 3)
self._test_qs(qs.filter(F('toDayOfMonth', Person.birthday) == 30), 3)
self._test_qs(qs.filter(F.toDayOfMonth(Person.birthday) == 30), 3)
# People born on Sunday
self._test_qs(qs.filter(F('equals', F('toDayOfWeek', Person.birthday), 7)), 18)
self._test_qs(qs.filter(F('toDayOfWeek', Person.birthday) == 7), 18)
self._test_qs(qs.filter(F.toDayOfWeek(Person.birthday) == 7), 18)
# People born on 1976-10-01
self._test_qs(qs.filter(F('equals', Person.birthday, '1976-10-01')), 1)
self._test_qs(qs.filter(F('equals', Person.birthday, date(1976, 10, 1))), 1)
self._test_qs(qs.filter(Person.birthday == date(1976, 10, 1)), 1)
def test_func_as_field_value(self):
qs = Person.objects_in(self.database)
self._test_qs(qs.filter(height__gt=F.plus(1, 0.61)), 96)
self._test_qs(qs.exclude(birthday=F.today()), 100)
self._test_qs(qs.filter(birthday__between=['1970-01-01', F.today()]), 100)
def test_in_and_not_in(self):
qs = Person.objects_in(self.database)
self._test_qs(qs.filter(Person.first_name.isIn(['Ciaran', 'Elton'])), 4)
self._test_qs(qs.filter(~Person.first_name.isIn(['Ciaran', 'Elton'])), 96)
self._test_qs(qs.filter(Person.first_name.isNotIn(['Ciaran', 'Elton'])), 96)
self._test_qs(qs.exclude(Person.first_name.isIn(['Ciaran', 'Elton'])), 96)
# In subquery
subquery = qs.filter(F.startsWith(Person.last_name, 'M')).only(Person.first_name)
self._test_qs(qs.filter(Person.first_name.isIn(subquery)), 4)
def test_comparison_operators(self):
one = F.plus(1, 0)
two = F.plus(1, 1)
self._test_func(one > one, 0)
self._test_func(two > one, 1)
self._test_func(one >= two, 0)
self._test_func(one >= one, 1)
self._test_func(one < one, 0)
self._test_func(one < two, 1)
self._test_func(two <= one, 0)
self._test_func(one <= one, 1)
self._test_func(one == two, 0)
self._test_func(one == one, 1)
self._test_func(one != one, 0)
self._test_func(one != two, 1)
def test_arithmetic_operators(self):
one = F.plus(1, 0)
two = F.plus(1, 1)
# +
self._test_func(one + two, 3)
self._test_func(one + 2, 3)
self._test_func(2 + one, 3)
# -
self._test_func(one - two, -1)
self._test_func(one - 2, -1)
self._test_func(1 - two, -1)
# *
self._test_func(one * two, 2)
self._test_func(one * 2, 2)
self._test_func(1 * two, 2)
# /
self._test_func(one / two, 0.5)
self._test_func(one / 2, 0.5)
self._test_func(1 / two, 0.5)
# //
self._test_func(one // two, 0)
self._test_func(two // one, 2)
self._test_func(one // 2, 0)
self._test_func(1 // two, 0)
# %
self._test_func(one % two, 1)
self._test_func(one % 2, 1)
self._test_func(1 % two, 1)
# sign
self._test_func(-one, -1)
self._test_func(--one, 1)
self._test_func(+one, 1)
def test_logical_operators(self):
one = F.plus(1, 0)
two = F.plus(1, 1)
# &
self._test_func(one & two, 1)
self._test_func(one & two, 1)
self._test_func(one & 0, 0)
self._test_func(0 & one, 0)
# |
self._test_func(one | two, 1)
self._test_func(one | 0, 1)
self._test_func(0 | one, 1)
# ^
self._test_func(one ^ one)
self._test_func(one ^ 0)
self._test_func(0 ^ one)
# ~
self._test_func(~one, 0)
self._test_func(~~one, 1)
# compound
self._test_func(one & 0 | two, 1)
self._test_func(one & 0 & two, 0)
self._test_func(one & 0 | 0, 0)
self._test_func((one | 0) & two, 1)
def test_date_functions(self):
d = date(2018, 12, 31)
dt = datetime(2018, 12, 31, 11, 22, 33)
self._test_func(F.toYear(d), 2018)
self._test_func(F.toYear(dt), 2018)
self._test_func(F.toISOYear(dt, 'Europe/Athens'), 2019) # 2018-12-31 is ISO year 2019, week 1, day 1
self._test_func(F.toQuarter(d), 4)
self._test_func(F.toQuarter(dt), 4)
self._test_func(F.toMonth(d), 12)
self._test_func(F.toMonth(dt), 12)
self._test_func(F.toWeek(d), 52)
self._test_func(F.toWeek(dt), 52)
self._test_func(F.toISOWeek(d), 1) # 2018-12-31 is ISO year 2019, week 1, day 1
self._test_func(F.toISOWeek(dt), 1)
self._test_func(F.toDayOfYear(d), 365)
self._test_func(F.toDayOfYear(dt), 365)
self._test_func(F.toDayOfMonth(d), 31)
self._test_func(F.toDayOfMonth(dt), 31)
self._test_func(F.toDayOfWeek(d), 1)
self._test_func(F.toDayOfWeek(dt), 1)
self._test_func(F.toMinute(dt), 22)
self._test_func(F.toSecond(dt), 33)
self._test_func(F.toMonday(d), d)
self._test_func(F.toMonday(dt), d)
self._test_func(F.toStartOfMonth(d), date(2018, 12, 1))
self._test_func(F.toStartOfMonth(dt), date(2018, 12, 1))
self._test_func(F.toStartOfQuarter(d), date(2018, 10, 1))
self._test_func(F.toStartOfQuarter(dt), date(2018, 10, 1))
self._test_func(F.toStartOfYear(d), date(2018, 1, 1))
self._test_func(F.toStartOfYear(dt), date(2018, 1, 1))
self._test_func(F.toStartOfMinute(dt), datetime(2018, 12, 31, 11, 22, 0, tzinfo=pytz.utc))
self._test_func(F.toStartOfFiveMinute(dt), datetime(2018, 12, 31, 11, 20, 0, tzinfo=pytz.utc))
self._test_func(F.toStartOfFifteenMinutes(dt), datetime(2018, 12, 31, 11, 15, 0, tzinfo=pytz.utc))
self._test_func(F.toStartOfHour(dt), datetime(2018, 12, 31, 11, 0, 0, tzinfo=pytz.utc))
self._test_func(F.toStartOfISOYear(dt), date(2018, 12, 31))
self._test_func(F.toStartOfTenMinutes(dt), datetime(2018, 12, 31, 11, 20, 0, tzinfo=pytz.utc))
self._test_func(F.toStartOfWeek(dt), date(2018, 12, 30))
self._test_func(F.toTime(dt), datetime(1970, 1, 2, 11, 22, 33, tzinfo=pytz.utc))
self._test_func(F.toUnixTimestamp(dt, 'UTC'), int(dt.replace(tzinfo=pytz.utc).timestamp()))
self._test_func(F.toYYYYMM(d), 201812)
self._test_func(F.toYYYYMM(dt), 201812)
self._test_func(F.toYYYYMM(dt, 'Europe/Athens'), 201812)
self._test_func(F.toYYYYMMDD(d), 20181231)
self._test_func(F.toYYYYMMDD(dt), 20181231)
self._test_func(F.toYYYYMMDD(dt, 'Europe/Athens'), 20181231)
self._test_func(F.toYYYYMMDDhhmmss(d), 20181231000000)
self._test_func(F.toYYYYMMDDhhmmss(dt, 'Europe/Athens'), 20181231132233)
self._test_func(F.toRelativeYearNum(dt), 2018)
self._test_func(F.toRelativeYearNum(dt, 'Europe/Athens'), 2018)
self._test_func(F.toRelativeMonthNum(dt), 2018 * 12 + 12)
self._test_func(F.toRelativeMonthNum(dt, 'Europe/Athens'), 2018 * 12 + 12)
self._test_func(F.toRelativeWeekNum(dt), 2557)
self._test_func(F.toRelativeWeekNum(dt, 'Europe/Athens'), 2557)
self._test_func(F.toRelativeDayNum(dt), 17896)
self._test_func(F.toRelativeDayNum(dt, 'Europe/Athens'), 17896)
self._test_func(F.toRelativeHourNum(dt), 429515)
self._test_func(F.toRelativeHourNum(dt, 'Europe/Athens'), 429515)
self._test_func(F.toRelativeMinuteNum(dt), 25770922)
self._test_func(F.toRelativeMinuteNum(dt, 'Europe/Athens'), 25770922)
self._test_func(F.toRelativeSecondNum(dt), 1546255353)
self._test_func(F.toRelativeSecondNum(dt, 'Europe/Athens'), 1546255353)
self._test_func(F.timeSlot(dt), datetime(2018, 12, 31, 11, 0, 0, tzinfo=pytz.utc))
self._test_func(F.timeSlots(dt, 300), [datetime(2018, 12, 31, 11, 0, 0, tzinfo=pytz.utc)])
self._test_func(F.formatDateTime(dt, '%D %T', 'Europe/Athens'), '12/31/18 13:22:33')
self._test_func(F.addDays(d, 7), date(2019, 1, 7))
self._test_func(F.addDays(dt, 7, 'Europe/Athens'))
self._test_func(F.addHours(dt, 7, 'Europe/Athens'))
self._test_func(F.addMinutes(dt, 7, 'Europe/Athens'))
self._test_func(F.addMonths(d, 7), date(2019, 7, 31))
self._test_func(F.addMonths(dt, 7, 'Europe/Athens'))
self._test_func(F.addQuarters(d, 7))
self._test_func(F.addQuarters(dt, 7, 'Europe/Athens'))
self._test_func(F.addSeconds(d, 7))
self._test_func(F.addSeconds(dt, 7, 'Europe/Athens'))
self._test_func(F.addWeeks(d, 7))
self._test_func(F.addWeeks(dt, 7, 'Europe/Athens'))
self._test_func(F.addYears(d, 7))
self._test_func(F.addYears(dt, 7, 'Europe/Athens'))
self._test_func(F.subtractDays(d, 3))
self._test_func(F.subtractDays(dt, 3, 'Europe/Athens'))
self._test_func(F.subtractHours(d, 3))
self._test_func(F.subtractHours(dt, 3, 'Europe/Athens'))
self._test_func(F.subtractMinutes(d, 3))
self._test_func(F.subtractMinutes(dt, 3, 'Europe/Athens'))
self._test_func(F.subtractMonths(d, 3))
self._test_func(F.subtractMonths(dt, 3, 'Europe/Athens'))
self._test_func(F.subtractQuarters(d, 3))
self._test_func(F.subtractQuarters(dt, 3, 'Europe/Athens'))
self._test_func(F.subtractSeconds(d, 3))
self._test_func(F.subtractSeconds(dt, 3, 'Europe/Athens'))
self._test_func(F.subtractWeeks(d, 3))
self._test_func(F.subtractWeeks(dt, 3, 'Europe/Athens'))
self._test_func(F.subtractYears(d, 3))
self._test_func(F.subtractYears(dt, 3, 'Europe/Athens'))
self._test_func(F.now() + F.toIntervalSecond(3) + F.toIntervalMinute(3) + F.toIntervalHour(3) + F.toIntervalDay(3))
self._test_func(F.now() + F.toIntervalWeek(3) + F.toIntervalMonth(3) + F.toIntervalQuarter(3) + F.toIntervalYear(3))
self._test_func(F.now() + F.toIntervalSecond(3000) - F.toIntervalDay(3000) == F.now() + timedelta(seconds=3000, days=-3000))
def test_date_functions__utc_only(self):
if self.database.server_timezone != pytz.utc:
raise unittest.SkipTest('This test must run with UTC as the server timezone')
d = date(2018, 12, 31)
dt = datetime(2018, 12, 31, 11, 22, 33)
athens_tz = pytz.timezone('Europe/Athens')
self._test_func(F.toHour(dt), 11)
self._test_func(F.toStartOfDay(dt), datetime(2018, 12, 31, 0, 0, 0, tzinfo=pytz.utc))
self._test_func(F.toTime(dt, pytz.utc), datetime(1970, 1, 2, 11, 22, 33, tzinfo=pytz.utc))
self._test_func(F.toTime(dt, 'Europe/Athens'), athens_tz.localize(datetime(1970, 1, 2, 13, 22, 33)))
self._test_func(F.toTime(dt, athens_tz), athens_tz.localize(datetime(1970, 1, 2, 13, 22, 33)))
self._test_func(F.toTimeZone(dt, 'Europe/Athens'), athens_tz.localize(datetime(2018, 12, 31, 13, 22, 33)))
self._test_func(F.now(), datetime.utcnow().replace(tzinfo=pytz.utc, microsecond=0)) # FIXME this may fail if the timing is just right
self._test_func(F.today(), datetime.utcnow().date())
self._test_func(F.yesterday(), datetime.utcnow().date() - timedelta(days=1))
self._test_func(F.toYYYYMMDDhhmmss(dt), 20181231112233)
self._test_func(F.formatDateTime(dt, '%D %T'), '12/31/18 11:22:33')
self._test_func(F.addHours(d, 7), datetime(2018, 12, 31, 7, 0, 0, tzinfo=pytz.utc))
self._test_func(F.addMinutes(d, 7), datetime(2018, 12, 31, 0, 7, 0, tzinfo=pytz.utc))
def test_type_conversion_functions(self):
for f in (F.toUInt8, F.toUInt16, F.toUInt32, F.toUInt64, F.toInt8, F.toInt16, F.toInt32, F.toInt64, F.toFloat32, F.toFloat64):
self._test_func(f(17), 17)
self._test_func(f('17'), 17)
for f in (F.toUInt8OrZero, F.toUInt16OrZero, F.toUInt32OrZero, F.toUInt64OrZero, F.toInt8OrZero, F.toInt16OrZero, F.toInt32OrZero, F.toInt64OrZero, F.toFloat32OrZero, F.toFloat64OrZero):
self._test_func(f('17'), 17)
self._test_func(f('a'), 0)
for f in (F.toDecimal32, F.toDecimal64, F.toDecimal128):
self._test_func(f(17.17, 2), Decimal('17.17'))
self._test_func(f('17.17', 2), Decimal('17.17'))
self._test_func(F.toDate('2018-12-31'), date(2018, 12, 31))
self._test_func(F.toString(123), '123')
self._test_func(F.toFixedString('123', 5), '123')
self._test_func(F.toStringCutToZero('123\0'), '123')
self._test_func(F.CAST(17, 'String'), '17')
self._test_func(F.parseDateTimeBestEffort('31/12/2019 10:05AM', 'Europe/Athens'))
with self.assertRaises(ServerError):
self._test_func(F.parseDateTimeBestEffort('foo'))
self._test_func(F.parseDateTimeBestEffortOrNull('31/12/2019 10:05AM', 'Europe/Athens'))
self._test_func(F.parseDateTimeBestEffortOrNull('foo'), None)
self._test_func(F.parseDateTimeBestEffortOrZero('31/12/2019 10:05AM', 'Europe/Athens'))
self._test_func(F.parseDateTimeBestEffortOrZero('foo'), DateTimeField.class_default)
def test_type_conversion_functions__utc_only(self):
if self.database.server_timezone != pytz.utc:
raise unittest.SkipTest('This test must run with UTC as the server timezone')
self._test_func(F.toDateTime('2018-12-31 11:22:33'), datetime(2018, 12, 31, 11, 22, 33, tzinfo=pytz.utc))
self._test_func(F.toDateTime64('2018-12-31 11:22:33.001', 6), datetime(2018, 12, 31, 11, 22, 33, 1000, tzinfo=pytz.utc))
self._test_func(F.parseDateTimeBestEffort('31/12/2019 10:05AM'), datetime(2019, 12, 31, 10, 5, tzinfo=pytz.utc))
self._test_func(F.parseDateTimeBestEffortOrNull('31/12/2019 10:05AM'), datetime(2019, 12, 31, 10, 5, tzinfo=pytz.utc))
self._test_func(F.parseDateTimeBestEffortOrZero('31/12/2019 10:05AM'), datetime(2019, 12, 31, 10, 5, tzinfo=pytz.utc))
def test_string_functions(self):
self._test_func(F.empty(''), 1)
self._test_func(F.empty('x'), 0)
self._test_func(F.notEmpty(''), 0)
self._test_func(F.notEmpty('x'), 1)
self._test_func(F.length('x'), 1)
self._test_func(F.lengthUTF8('x'), 1)
self._test_func(F.lower('Ab'), 'ab')
self._test_func(F.upper('Ab'), 'AB')
self._test_func(F.lowerUTF8('Ab'), 'ab')
self._test_func(F.upperUTF8('Ab'), 'AB')
self._test_func(F.reverse('Ab'), 'bA')
self._test_func(F.reverseUTF8('Ab'), 'bA')
self._test_func(F.concat('Ab', 'Cd', 'Ef'), 'AbCdEf')
self._test_func(F.substring('123456', 3, 2), '34')
self._test_func(F.substringUTF8('123456', 3, 2), '34')
self._test_func(F.appendTrailingCharIfAbsent('Hello', '!'), 'Hello!')
self._test_func(F.appendTrailingCharIfAbsent('Hello!', '!'), 'Hello!')
self._test_func(F.convertCharset(F.convertCharset('Hello', 'latin1', 'utf16'), 'utf16', 'latin1'), 'Hello')
self._test_func(F.startsWith('aaa', 'aa'), True)
self._test_func(F.startsWith('aaa', 'bb'), False)
self._test_func(F.endsWith('aaa', 'aa'), True)
self._test_func(F.endsWith('aaa', 'bb'), False)
self._test_func(F.trimLeft(' abc '), 'abc ')
self._test_func(F.trimRight(' abc '), ' abc')
self._test_func(F.trimBoth(' abc '), 'abc')
self._test_func(F.CRC32('whoops'), 3361378926)
def test_string_search_functions(self):
self._test_func(F.position('Hello, world!', '!'), 13)
self._test_func(F.positionCaseInsensitive('Hello, world!', 'hello'), 1)
self._test_func(F.positionUTF8('Привет, мир!', '!'), 12)
self._test_func(F.positionCaseInsensitiveUTF8('Привет, мир!', 'Мир'), 9)
self._test_func(F.like('Hello, world!', '%ll%'), 1)
self._test_func(F.notLike('Hello, world!', '%ll%'), 0)
self._test_func(F.match('Hello, world!', '[lmnop]{3}'), 1)
self._test_func(F.extract('Hello, world!', '[lmnop]{3}'), 'llo')
self._test_func(F.extractAll('Hello, world!', '[a-z]+'), ['ello', 'world'])
self._test_func(F.ngramDistance('Hello', 'Hello'), 0)
self._test_func(F.ngramDistanceCaseInsensitive('Hello', 'hello'), 0)
self._test_func(F.ngramDistanceUTF8('Hello', 'Hello'), 0)
self._test_func(F.ngramDistanceCaseInsensitiveUTF8('Hello', 'hello'), 0)
self._test_func(F.ngramSearch('Hello', 'Hello'), 1)
self._test_func(F.ngramSearchCaseInsensitive('Hello', 'hello'), 1)
self._test_func(F.ngramSearchUTF8('Hello', 'Hello'), 1)
self._test_func(F.ngramSearchCaseInsensitiveUTF8('Hello', 'hello'), 1)
def test_base64_functions(self):
try:
self._test_func(F.base64Decode(F.base64Encode('Hello')), 'Hello')
self._test_func(F.tryBase64Decode(F.base64Encode('Hello')), 'Hello')
self._test_func(F.tryBase64Decode(':-)'))
except ServerError as e:
# ClickHouse version that doesn't support these functions
raise unittest.SkipTest(e.message)
def test_replace_functions(self):
haystack = 'hello'
self._test_func(F.replace(haystack, 'l', 'L'), 'heLLo')
self._test_func(F.replaceAll(haystack, 'l', 'L'), 'heLLo')
self._test_func(F.replaceOne(haystack, 'l', 'L'), 'heLlo')
self._test_func(F.replaceRegexpAll(haystack, '[eo]', 'X'), 'hXllX')
self._test_func(F.replaceRegexpOne(haystack, '[eo]', 'X'), 'hXllo')
self._test_func(F.regexpQuoteMeta('[eo]'), '\\[eo\\]')
def test_math_functions(self):
x = 17
y = 3
self._test_func(F.e())
self._test_func(F.pi())
self._test_func(F.exp(x))
self._test_func(F.exp10(x))
self._test_func(F.exp2(x))
self._test_func(F.log(x))
self._test_func(F.log10(x))
self._test_func(F.log2(x))
self._test_func(F.ln(x))
self._test_func(F.sqrt(x))
self._test_func(F.cbrt(x))
self._test_func(F.erf(x))
self._test_func(F.erfc(x))
self._test_func(F.lgamma(x))
self._test_func(F.tgamma(x))
self._test_func(F.sin(x))
self._test_func(F.cos(x))
self._test_func(F.tan(x))
self._test_func(F.asin(x))
self._test_func(F.acos(x))
self._test_func(F.atan(x))
self._test_func(F.pow(x, y))
self._test_func(F.power(x, y))
self._test_func(F.intExp10(x))
self._test_func(F.intExp2(x))
self._test_func(F.intDivOrZero(x, y))
self._test_func(F.abs(x))
self._test_func(F.gcd(x, y))
self._test_func(F.lcm(x, y))
def test_rounding_functions(self):
x = 22.22222
n = 3
self._test_func(F.floor(x), 22)
self._test_func(F.floor(x, n), 22.222)
self._test_func(F.ceil(x), 23)
self._test_func(F.ceil(x, n), 22.223)
self._test_func(F.ceiling(x), 23)
self._test_func(F.ceiling(x, n), 22.223)
self._test_func(F.round(x), 22)
self._test_func(F.round(x, n), 22.222)
self._test_func(F.roundAge(x), 18)
self._test_func(F.roundDown(x, [10, 20, 30]), 20)
self._test_func(F.roundDuration(x), 10)
self._test_func(F.roundToExp2(x), 16)
def test_array_functions(self):
arr = [1, 2, 3]
self._test_func(F.emptyArrayDate())
self._test_func(F.emptyArrayDateTime())
self._test_func(F.emptyArrayFloat32())
self._test_func(F.emptyArrayFloat64())
self._test_func(F.emptyArrayInt16())
self._test_func(F.emptyArrayInt32())
self._test_func(F.emptyArrayInt64())
self._test_func(F.emptyArrayInt8())
self._test_func(F.emptyArrayString())
self._test_func(F.emptyArrayToSingle(F.emptyArrayInt16()), [0])
self._test_func(F.emptyArrayUInt16())
self._test_func(F.emptyArrayUInt32())
self._test_func(F.emptyArrayUInt64())
self._test_func(F.emptyArrayUInt8())
self._test_func(F.range(7), list(range(7)))
self._test_func(F.array(*arr), arr)
self._test_func(F.arrayConcat([1, 2], [3]), arr)
self._test_func(F.arrayElement([10, 20, 30], 2), 20)
self._test_func(F.has(arr, 2), 1)
self._test_func(F.hasAll(arr, [1, 7]), 0)
self._test_func(F.hasAny(arr, [1, 7]), 1)
self._test_func(F.indexOf(arr, 3), 3)
self._test_func(F.countEqual(arr, 2), 1)
self._test_func(F.arrayEnumerate(arr))
self._test_func(F.arrayEnumerateDense(arr))
self._test_func(F.arrayEnumerateDenseRanked(arr))
self._test_func(F.arrayEnumerateUniq(arr))
self._test_func(F.arrayEnumerateUniqRanked(arr))
self._test_func(F.arrayPopBack(arr), [1, 2])
self._test_func(F.arrayPopFront(arr), [2, 3])
self._test_func(F.arrayPushBack(arr, 7), arr + [7])
self._test_func(F.arrayPushFront(arr, 7), [7] + arr)
self._test_func(F.arrayResize(arr, 5), [1, 2, 3, 0, 0])
self._test_func(F.arrayResize(arr, 5, 9), [1, 2, 3, 9, 9])
self._test_func(F.arraySlice(arr, 2), [2, 3])
self._test_func(F.arraySlice(arr, 2, 1), [2])
self._test_func(F.arrayUniq(arr + arr), 3)
self._test_func(F.arrayJoin(arr))
self._test_func(F.arrayDifference(arr), [0, 1, 1])
self._test_func(F.arrayDistinct(arr + arr), arr)
self._test_func(F.arrayIntersect(arr, [3, 4]), [3])
self._test_func(F.arrayReduce('min', arr), 1)
self._test_func(F.arrayReverse(arr), [3, 2, 1])
def test_split_and_merge_functions(self):
self._test_func(F.splitByChar('_', 'a_b_c'), ['a', 'b', 'c'])
self._test_func(F.splitByString('__', 'a__b__c'), ['a', 'b', 'c'])
self._test_func(F.arrayStringConcat(['a', 'b', 'c']), 'abc')
self._test_func(F.arrayStringConcat(['a', 'b', 'c'], '_'), 'a_b_c')
self._test_func(F.alphaTokens('aaa.bbb.111'), ['aaa', 'bbb'])
def test_bit_functions(self):
x = 17
y = 4
z = 5
self._test_func(F.bitAnd(x, y))
self._test_func(F.bitNot(x))
self._test_func(F.bitOr(x, y))
self._test_func(F.bitRotateLeft(x, y))
self._test_func(F.bitRotateRight(x, y))
self._test_func(F.bitShiftLeft(x, y))
self._test_func(F.bitShiftRight(x, y))
self._test_func(F.bitTest(x, y))
self._test_func(F.bitTestAll(x, y))
self._test_func(F.bitTestAll(x, y, z))
self._test_func(F.bitTestAny(x, y))
self._test_func(F.bitTestAny(x, y, z))
self._test_func(F.bitXor(x, y))
def test_bitmap_functions(self):
self._test_func(F.bitmapToArray(F.bitmapBuild([1, 2, 3])), [1, 2, 3])
self._test_func(F.bitmapContains(F.bitmapBuild([1, 5, 7, 9]), F.toUInt32(9)), 1)
self._test_func(F.bitmapHasAny(F.bitmapBuild([1,2,3]), F.bitmapBuild([3,4,5])), 1)
self._test_func(F.bitmapHasAll(F.bitmapBuild([1,2,3]), F.bitmapBuild([3,4,5])), 0)
self._test_func(F.bitmapToArray(F.bitmapAnd(F.bitmapBuild([1, 2, 3]), F.bitmapBuild([3, 4, 5]))), [3])
self._test_func(F.bitmapToArray(F.bitmapOr(F.bitmapBuild([1, 2, 3]), F.bitmapBuild([3, 4, 5]))), [1, 2, 3, 4, 5])
self._test_func(F.bitmapToArray(F.bitmapXor(F.bitmapBuild([1, 2, 3]), F.bitmapBuild([3, 4, 5]))), [1, 2, 4, 5])
self._test_func(F.bitmapToArray(F.bitmapAndnot(F.bitmapBuild([1, 2, 3]), F.bitmapBuild([3, 4, 5]))), [1, 2])
self._test_func(F.bitmapCardinality(F.bitmapBuild([1, 2, 3, 4, 5])), 5)
self._test_func(F.bitmapAndCardinality(F.bitmapBuild([1, 2, 3]), F.bitmapBuild([3, 4, 5])), 1)
self._test_func(F.bitmapOrCardinality(F.bitmapBuild([1, 2, 3]), F.bitmapBuild([3, 4, 5])), 5)
self._test_func(F.bitmapXorCardinality(F.bitmapBuild([1, 2, 3]), F.bitmapBuild([3, 4, 5])), 4)
self._test_func(F.bitmapAndnotCardinality(F.bitmapBuild([1, 2, 3]), F.bitmapBuild([3, 4, 5])), 2)
def test_hash_functions(self):
args = ['x', 'y', 'z']
x = 17
s = 'hello'
url = 'http://example.com/a/b/c/d'
self._test_func(F.hex(F.MD5(s)))
self._test_func(F.hex(F.sipHash128(s)))
self._test_func(F.hex(F.cityHash64(*args)))
self._test_func(F.hex(F.intHash32(x)))
self._test_func(F.hex(F.intHash64(x)))
self._test_func(F.hex(F.SHA1(s)))
self._test_func(F.hex(F.SHA224(s)))
self._test_func(F.hex(F.SHA256(s)))
self._test_func(F.hex(F.URLHash(url)))
self._test_func(F.hex(F.URLHash(url, 3)))
self._test_func(F.hex(F.farmHash64(*args)))
self._test_func(F.javaHash(s))
self._test_func(F.hiveHash(s))
self._test_func(F.hex(F.metroHash64(*args)))
self._test_func(F.jumpConsistentHash(x, 3))
self._test_func(F.hex(F.murmurHash2_32(*args)))
self._test_func(F.hex(F.murmurHash2_64(*args)))
self._test_func(F.hex(F.murmurHash3_32(*args)))
self._test_func(F.hex(F.murmurHash3_64(*args)))
self._test_func(F.hex(F.murmurHash3_128(s)))
self._test_func(F.hex(F.xxHash32(*args)))
self._test_func(F.hex(F.xxHash64(*args)))
if self.database.server_version >= (18, 1):
self._test_func(F.hex(F.halfMD5(*args)))
self._test_func(F.hex(F.sipHash64(*args)))
def test_rand_functions(self):
self._test_func(F.rand())
self._test_func(F.rand(17))
self._test_func(F.rand64())
self._test_func(F.rand64(17))
if self.database.server_version >= (19, 15): # buggy in older versions
self._test_func(F.randConstant())
self._test_func(F.randConstant(17))
def test_encoding_functions(self):
self._test_func(F.hex(F.unhex('0FA1')), '0FA1')
self._test_func(F.bitmaskToArray(17))
self._test_func(F.bitmaskToList(18))
def test_uuid_functions(self):
from uuid import UUID
uuid = self._test_func(F.generateUUIDv4())
self.assertEqual(type(uuid), UUID)
s = str(uuid)
self._test_func(F.toUUID(s), uuid)
self._test_func(F.UUIDNumToString(F.UUIDStringToNum(s)), s)
def test_ip_funcs(self):
self._test_func(F.IPv4NumToString(F.toUInt32(1)), '0.0.0.1')
self._test_func(F.IPv4NumToStringClassC(F.toUInt32(1)), '0.0.0.xxx')
self._test_func(F.IPv4StringToNum('0.0.0.17'), 17)
self._test_func(F.IPv6NumToString(F.IPv4ToIPv6(F.IPv4StringToNum('192.168.0.1'))), '::ffff:192.168.0.1')
self._test_func(F.IPv6NumToString(F.IPv6StringToNum('2a02:6b8::11')), '2a02:6b8::11')
self._test_func(F.toIPv4('10.20.30.40'), IPv4Address('10.20.30.40'))
self._test_func(F.toIPv6('2001:438:ffff::407d:1bc1'), IPv6Address('2001:438:ffff::407d:1bc1'))
self._test_func(F.IPv4CIDRToRange(F.toIPv4('192.168.5.2'), 16),
[IPv4Address('192.168.0.0'), IPv4Address('192.168.255.255')])
self._test_func(F.IPv6CIDRToRange(F.toIPv6('2001:0db8:0000:85a3:0000:0000:ac1f:8001'), 32),
[IPv6Address('2001:db8::'), IPv6Address('2001:db8:ffff:ffff:ffff:ffff:ffff:ffff')])
def test_aggregate_funcs(self):
self._test_aggr(F.any(Person.first_name))
self._test_aggr(F.anyHeavy(Person.first_name))
self._test_aggr(F.anyLast(Person.first_name))
self._test_aggr(F.argMin(Person.first_name, Person.height))
self._test_aggr(F.argMax(Person.first_name, Person.height))
self._test_aggr(F.round(F.avg(Person.height), 4), sum(p.height for p in self._sample_data()) / 100)
self._test_aggr(F.corr(Person.height, Person.height), 1)
self._test_aggr(F.count(), 100)
self._test_aggr(F.round(F.covarPop(Person.height, Person.height), 2), 0)
self._test_aggr(F.round(F.covarSamp(Person.height, Person.height), 2), 0)
self._test_aggr(F.kurtPop(Person.height))
self._test_aggr(F.kurtSamp(Person.height))
self._test_aggr(F.min(Person.height), 1.59)
self._test_aggr(F.max(Person.height), 1.80)
self._test_aggr(F.skewPop(Person.height))
self._test_aggr(F.skewSamp(Person.height))
self._test_aggr(F.round(F.sum(Person.height), 4), sum(p.height for p in self._sample_data()))
self._test_aggr(F.uniq(Person.first_name, Person.last_name), 100)
self._test_aggr(F.uniqExact(Person.first_name, Person.last_name), 100)
self._test_aggr(F.uniqHLL12(Person.first_name, Person.last_name), 99)
self._test_aggr(F.varPop(Person.height))
self._test_aggr(F.varSamp(Person.height))
def test_aggregate_funcs__or_default(self):
self.database.raw('TRUNCATE TABLE person')
self._test_aggr(F.countOrDefault(), 0)
self._test_aggr(F.maxOrDefault(Person.height), 0)
def test_aggregate_funcs__or_null(self):
self.database.raw('TRUNCATE TABLE person')
self._test_aggr(F.countOrNull(), None)
self._test_aggr(F.maxOrNull(Person.height), None)
def test_aggregate_funcs__if(self):
self._test_aggr(F.argMinIf(Person.first_name, Person.height, Person.last_name > 'H'))
self._test_aggr(F.countIf(Person.last_name > 'H'), 57)
self._test_aggr(F.minIf(Person.height, Person.last_name > 'H'), 1.6)
def test_aggregate_funcs__or_default_if(self):
self._test_aggr(F.argMinOrDefaultIf(Person.first_name, Person.height, Person.last_name > 'Z'))
self._test_aggr(F.countOrDefaultIf(Person.last_name > 'Z'), 0)
self._test_aggr(F.minOrDefaultIf(Person.height, Person.last_name > 'Z'), 0)
def test_aggregate_funcs__or_null_if(self):
self._test_aggr(F.argMinOrNullIf(Person.first_name, Person.height, Person.last_name > 'Z'))
self._test_aggr(F.countOrNullIf(Person.last_name > 'Z'), None)
self._test_aggr(F.minOrNullIf(Person.height, Person.last_name > 'Z'), None)
def test_quantile_funcs(self):
cond = Person.last_name > 'H'
weight_expr = F.toUInt32(F.round(Person.height))
# Quantile
self._test_aggr(F.quantile(0.9)(Person.height))
self._test_aggr(F.quantileOrDefault(0.9)(Person.height))
self._test_aggr(F.quantileOrNull(0.9)(Person.height))
self._test_aggr(F.quantileIf(0.9)(Person.height, cond))
self._test_aggr(F.quantileOrDefaultIf(0.9)(Person.height, cond))
self._test_aggr(F.quantileOrNullIf(0.9)(Person.height, cond))
self._test_aggr(F.quantileDeterministic(0.9)(Person.height, 17))
self._test_aggr(F.quantileExact(0.9)(Person.height))
self._test_aggr(F.quantileExactOrDefault(0.9)(Person.height))
# Quantile weighted
self._test_aggr(F.quantileExactWeighted(0.9)(Person.height, weight_expr))
self._test_aggr(F.quantileExactWeightedOrNull(0.9)(Person.height, weight_expr))
self._test_aggr(F.quantileTiming(0.9)(Person.height))
self._test_aggr(F.quantileTimingIf(0.9)(Person.height, cond))
self._test_aggr(F.quantileTimingWeighted(0.9)(Person.height, weight_expr))
self._test_aggr(F.quantileTimingWeightedOrDefaultIf(0.9)(Person.height, weight_expr, cond))
self._test_aggr(F.quantileTDigest(0.9)(Person.height))
self._test_aggr(F.quantileTDigestOrNullIf(0.9)(Person.height, cond))
self._test_aggr(F.quantileTDigestWeighted(0.9)(Person.height, weight_expr))
# Quantiles
self._test_aggr(F.quantiles(0.9, 0.95, 0.99)(Person.height))
self._test_aggr(F.quantilesDeterministic(0.9, 0.95, 0.99)(Person.height, 17))
self._test_aggr(F.quantilesExact(0.9, 0.95, 0.99)(Person.height))
self._test_aggr(F.quantilesExactWeighted(0.9, 0.95, 0.99)(Person.height, weight_expr))
self._test_aggr(F.quantilesTiming(0.9, 0.95, 0.99)(Person.height))
self._test_aggr(F.quantilesTimingIf(0.9, 0.95, 0.99)(Person.height, cond))
self._test_aggr(F.quantilesTimingWeighted(0.9, 0.95, 0.99)(Person.height, weight_expr))
self._test_aggr(F.quantilesTimingWeightedOrDefaultIf(0.9, 0.95, 0.99)(Person.height, weight_expr, cond))
self._test_aggr(F.quantilesTDigest(0.9, 0.95, 0.99)(Person.height))
self._test_aggr(F.quantilesTDigestIf(0.9, 0.95, 0.99)(Person.height, cond))
self._test_aggr(F.quantilesTDigestWeighted(0.9, 0.95, 0.99)(Person.height, weight_expr))
def test_top_k_funcs(self):
self._test_aggr(F.topK(3)(Person.height))
self._test_aggr(F.topKOrDefault(3)(Person.height))
self._test_aggr(F.topKIf(3)(Person.height, Person.last_name > 'H'))
self._test_aggr(F.topKOrDefaultIf(3)(Person.height, Person.last_name > 'H'))
weight_expr = F.toUInt32(F.round(Person.height))
self._test_aggr(F.topKWeighted(3)(Person.height, weight_expr))
self._test_aggr(F.topKWeightedOrDefault(3)(Person.height, weight_expr))
self._test_aggr(F.topKWeightedIf(3)(Person.height, weight_expr, Person.last_name > 'H'))
self._test_aggr(F.topKWeightedOrDefaultIf(3)(Person.height, weight_expr, Person.last_name > 'H'))
def test_null_funcs(self):
self._test_func(F.ifNull(17, 18), 17)
self._test_func(F.ifNull(None, 18), 18)
self._test_func(F.nullIf(17, 18), 17)
self._test_func(F.nullIf(18, 18), None)
self._test_func(F.isNotNull(17), 1)
self._test_func(F.isNull(17), 0)
self._test_func(F.coalesce(None, None, 17, 18), 17)
def test_misc_funcs(self):
self._test_func(F.ifNotFinite(17, 18), 17)
self._test_func(F.isFinite(17), 1)
self._test_func(F.isInfinite(17), 0)
self._test_func(F.isNaN(17), 0)
self._test_func(F.least(17, 18), 17)
self._test_func(F.greatest(17, 18), 18)

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@ -0,0 +1,32 @@
import unittest
from infi.clickhouse_orm import *
class IndexesTest(unittest.TestCase):
def setUp(self):
self.database = Database('test-db', log_statements=True)
if self.database.server_version < (20, 1, 2, 4):
raise unittest.SkipTest('ClickHouse version too old')
def tearDown(self):
self.database.drop_database()
def test_all_index_types(self):
self.database.create_table(ModelWithIndexes)
class ModelWithIndexes(Model):
date = DateField()
f1 = Int32Field()
f2 = StringField()
i1 = Index(f1, type=Index.minmax(), granularity=1)
i2 = Index(f1, type=Index.set(1000), granularity=2)
i3 = Index(f2, type=Index.ngrambf_v1(3, 256, 2, 0), granularity=1)
i4 = Index(F.lower(f2), type=Index.tokenbf_v1(256, 2, 0), granularity=2)
i5 = Index((F.toQuarter(date), f2), type=Index.bloom_filter(), granularity=3)
engine = MergeTree('date', ('date',))

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@ -1,4 +1,3 @@
from __future__ import unicode_literals
import unittest
import datetime
import pytz

68
tests/test_ip_fields.py Normal file
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@ -0,0 +1,68 @@
import unittest
from ipaddress import IPv4Address, IPv6Address
from infi.clickhouse_orm.database import Database
from infi.clickhouse_orm.fields import Int16Field, IPv4Field, IPv6Field
from infi.clickhouse_orm.models import Model
from infi.clickhouse_orm.engines import Memory
class IPFieldsTest(unittest.TestCase):
def setUp(self):
self.database = Database('test-db', log_statements=True)
def tearDown(self):
self.database.drop_database()
def test_ipv4_field(self):
if self.database.server_version < (19, 17):
raise unittest.SkipTest('ClickHouse version too old')
# Create a model
class TestModel(Model):
i = Int16Field()
f = IPv4Field()
engine = Memory()
self.database.create_table(TestModel)
# Check valid values (all values are the same ip)
values = [
'1.2.3.4',
b'\x01\x02\x03\x04',
16909060,
IPv4Address('1.2.3.4')
]
for index, value in enumerate(values):
rec = TestModel(i=index, f=value)
self.database.insert([rec])
for rec in TestModel.objects_in(self.database):
self.assertEqual(rec.f, IPv4Address(values[0]))
# Check invalid values
for value in [None, 'zzz', -1, '123']:
with self.assertRaises(ValueError):
TestModel(i=1, f=value)
def test_ipv6_field(self):
if self.database.server_version < (19, 17):
raise unittest.SkipTest('ClickHouse version too old')
# Create a model
class TestModel(Model):
i = Int16Field()
f = IPv6Field()
engine = Memory()
self.database.create_table(TestModel)
# Check valid values (all values are the same ip)
values = [
'2a02:e980:1e::1',
b'*\x02\xe9\x80\x00\x1e\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01',
55842696359362256756849388082849382401,
IPv6Address('2a02:e980:1e::1')
]
for index, value in enumerate(values):
rec = TestModel(i=index, f=value)
self.database.insert([rec])
for rec in TestModel.objects_in(self.database):
self.assertEqual(rec.f, IPv6Address(values[0]))
# Check invalid values
for value in [None, 'zzz', -1, '123']:
with self.assertRaises(ValueError):
TestModel(i=1, f=value)

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@ -1,4 +1,3 @@
from __future__ import unicode_literals, print_function
import unittest
import json
@ -30,8 +29,8 @@ class JoinTest(unittest.TestCase):
self.print_res("SELECT b FROM $db.{} ALL LEFT JOIN $db.{} USING id".format(Foo.table_name(), Bar.table_name()))
def test_with_subquery(self):
self.print_res("SELECT b FROM {} ALL LEFT JOIN (SELECT * from {}) USING id".format(Foo.table_name(), Bar.table_name()))
self.print_res("SELECT b FROM $db.{} ALL LEFT JOIN (SELECT * from $db.{}) USING id".format(Foo.table_name(), Bar.table_name()))
self.print_res("SELECT b FROM {} ALL LEFT JOIN (SELECT * from {}) subquery USING id".format(Foo.table_name(), Bar.table_name()))
self.print_res("SELECT b FROM $db.{} ALL LEFT JOIN (SELECT * from $db.{}) subquery USING id".format(Foo.table_name(), Bar.table_name()))
class Foo(models.Model):

View File

@ -1,11 +1,11 @@
from __future__ import unicode_literals
import unittest
from datetime import date
from infi.clickhouse_orm.database import Database
from infi.clickhouse_orm.models import Model
from infi.clickhouse_orm.models import Model, NO_VALUE
from infi.clickhouse_orm.fields import *
from infi.clickhouse_orm.engines import *
from infi.clickhouse_orm.funcs import F
class MaterializedFieldsTest(unittest.TestCase):
@ -25,7 +25,7 @@ class MaterializedFieldsTest(unittest.TestCase):
)
self.database.insert([instance])
# We can't select * from table, as it doesn't select materialized and alias fields
query = 'SELECT date_time_field, int_field, str_field, mat_int, mat_date, mat_str' \
query = 'SELECT date_time_field, int_field, str_field, mat_int, mat_date, mat_str, mat_func' \
' FROM $db.%s ORDER BY mat_date' % ModelWithMaterializedFields.table_name()
for model_cls in (ModelWithMaterializedFields, None):
results = list(self.database.select(query, model_cls))
@ -36,6 +36,7 @@ class MaterializedFieldsTest(unittest.TestCase):
self.assertEqual(results[0].mat_int, abs(instance.int_field))
self.assertEqual(results[0].mat_str, instance.str_field.lower())
self.assertEqual(results[0].mat_date, instance.date_time_field.date())
self.assertEqual(results[0].mat_func, instance.str_field.lower())
def test_assignment_error(self):
# I can't prevent assigning at all, in case db.select statements with model provided sets model fields.
@ -55,6 +56,10 @@ class MaterializedFieldsTest(unittest.TestCase):
with self.assertRaises(AssertionError):
StringField(materialized='str_field', alias='str_field')
def test_default_value(self):
instance = ModelWithMaterializedFields()
self.assertEqual(instance.mat_str, NO_VALUE)
class ModelWithMaterializedFields(Model):
int_field = Int32Field()
@ -64,5 +69,6 @@ class ModelWithMaterializedFields(Model):
mat_str = StringField(materialized='lower(str_field)')
mat_int = Int32Field(materialized='abs(int_field)')
mat_date = DateField(materialized=u'toDate(date_time_field)')
mat_func = StringField(materialized=F.lower(str_field))
engine = MergeTree('mat_date', ('mat_date',))

View File

@ -1,20 +1,16 @@
from __future__ import unicode_literals
import unittest
from infi.clickhouse_orm.database import Database
from infi.clickhouse_orm.models import Model, BufferModel
from infi.clickhouse_orm.database import Database, ServerError
from infi.clickhouse_orm.models import Model, BufferModel, Constraint, Index
from infi.clickhouse_orm.fields import *
from infi.clickhouse_orm.engines import *
from infi.clickhouse_orm.migrations import MigrationHistory
from enum import Enum
# Add tests to path so that migrations will be importable
import sys, os
sys.path.append(os.path.dirname(__file__))
try:
Enum # exists in Python 3.4+
except NameError:
from enum import Enum # use the enum34 library instead
import logging
logging.basicConfig(level=logging.DEBUG, format='%(message)s')
@ -30,55 +26,58 @@ class MigrationsTestCase(unittest.TestCase):
def tearDown(self):
self.database.drop_database()
def tableExists(self, model_class):
def table_exists(self, model_class):
query = "EXISTS TABLE $db.`%s`" % model_class.table_name()
return next(self.database.select(query)).result == 1
def getTableFields(self, model_class):
def get_table_fields(self, model_class):
query = "DESC `%s`.`%s`" % (self.database.db_name, model_class.table_name())
return [(row.name, row.type) for row in self.database.select(query)]
def get_table_def(self, model_class):
return self.database.raw('SHOW CREATE TABLE $db.`%s`' % model_class.table_name())
def test_migrations(self):
# Creation and deletion of table
self.database.migrate('tests.sample_migrations', 1)
self.assertTrue(self.tableExists(Model1))
self.assertTrue(self.table_exists(Model1))
self.database.migrate('tests.sample_migrations', 2)
self.assertFalse(self.tableExists(Model1))
self.assertFalse(self.table_exists(Model1))
self.database.migrate('tests.sample_migrations', 3)
self.assertTrue(self.tableExists(Model1))
self.assertTrue(self.table_exists(Model1))
# Adding, removing and altering simple fields
self.assertEqual(self.getTableFields(Model1), [('date', 'Date'), ('f1', 'Int32'), ('f2', 'String')])
self.assertEqual(self.get_table_fields(Model1), [('date', 'Date'), ('f1', 'Int32'), ('f2', 'String')])
self.database.migrate('tests.sample_migrations', 4)
self.assertEqual(self.getTableFields(Model2), [('date', 'Date'), ('f1', 'Int32'), ('f3', 'Float32'), ('f2', 'String'), ('f4', 'String'), ('f5', 'Array(UInt64)')])
self.assertEqual(self.get_table_fields(Model2), [('date', 'Date'), ('f1', 'Int32'), ('f3', 'Float32'), ('f2', 'String'), ('f4', 'String'), ('f5', 'Array(UInt64)')])
self.database.migrate('tests.sample_migrations', 5)
self.assertEqual(self.getTableFields(Model3), [('date', 'Date'), ('f1', 'Int64'), ('f3', 'Float64'), ('f4', 'String')])
self.assertEqual(self.get_table_fields(Model3), [('date', 'Date'), ('f1', 'Int64'), ('f3', 'Float64'), ('f4', 'String')])
# Altering enum fields
self.database.migrate('tests.sample_migrations', 6)
self.assertTrue(self.tableExists(EnumModel1))
self.assertEqual(self.getTableFields(EnumModel1),
self.assertTrue(self.table_exists(EnumModel1))
self.assertEqual(self.get_table_fields(EnumModel1),
[('date', 'Date'), ('f1', "Enum8('dog' = 1, 'cat' = 2, 'cow' = 3)")])
self.database.migrate('tests.sample_migrations', 7)
self.assertTrue(self.tableExists(EnumModel1))
self.assertEqual(self.getTableFields(EnumModel2),
self.assertTrue(self.table_exists(EnumModel1))
self.assertEqual(self.get_table_fields(EnumModel2),
[('date', 'Date'), ('f1', "Enum16('dog' = 1, 'cat' = 2, 'horse' = 3, 'pig' = 4)")])
# Materialized fields and alias fields
self.database.migrate('tests.sample_migrations', 8)
self.assertTrue(self.tableExists(MaterializedModel))
self.assertEqual(self.getTableFields(MaterializedModel),
self.assertTrue(self.table_exists(MaterializedModel))
self.assertEqual(self.get_table_fields(MaterializedModel),
[('date_time', "DateTime"), ('date', 'Date')])
self.database.migrate('tests.sample_migrations', 9)
self.assertTrue(self.tableExists(AliasModel))
self.assertEqual(self.getTableFields(AliasModel),
self.assertTrue(self.table_exists(AliasModel))
self.assertEqual(self.get_table_fields(AliasModel),
[('date', 'Date'), ('date_alias', "Date")])
# Buffer models creation and alteration
self.database.migrate('tests.sample_migrations', 10)
self.assertTrue(self.tableExists(Model4))
self.assertTrue(self.tableExists(Model4Buffer))
self.assertEqual(self.getTableFields(Model4), [('date', 'Date'), ('f1', 'Int32'), ('f2', 'String')])
self.assertEqual(self.getTableFields(Model4Buffer), [('date', 'Date'), ('f1', 'Int32'), ('f2', 'String')])
self.assertTrue(self.table_exists(Model4))
self.assertTrue(self.table_exists(Model4Buffer))
self.assertEqual(self.get_table_fields(Model4), [('date', 'Date'), ('f1', 'Int32'), ('f2', 'String')])
self.assertEqual(self.get_table_fields(Model4Buffer), [('date', 'Date'), ('f1', 'Int32'), ('f2', 'String')])
self.database.migrate('tests.sample_migrations', 11)
self.assertEqual(self.getTableFields(Model4), [('date', 'Date'), ('f3', 'DateTime'), ('f2', 'String')])
self.assertEqual(self.getTableFields(Model4Buffer), [('date', 'Date'), ('f3', 'DateTime'), ('f2', 'String')])
self.assertEqual(self.get_table_fields(Model4), [('date', 'Date'), ('f3', 'DateTime'), ('f2', 'String')])
self.assertEqual(self.get_table_fields(Model4Buffer), [('date', 'Date'), ('f3', 'DateTime'), ('f2', 'String')])
self.database.migrate('tests.sample_migrations', 12)
self.assertEqual(self.database.count(Model3), 3)
@ -91,12 +90,53 @@ class MigrationsTestCase(unittest.TestCase):
self.assertListEqual(data, [1, 2, 3, 4])
self.database.migrate('tests.sample_migrations', 14)
self.assertTrue(self.tableExists(MaterializedModel1))
self.assertEqual(self.getTableFields(MaterializedModel1),
self.assertTrue(self.table_exists(MaterializedModel1))
self.assertEqual(self.get_table_fields(MaterializedModel1),
[('date_time', 'DateTime'), ('int_field', 'Int8'), ('date', 'Date'), ('int_field_plus_one', 'Int8')])
self.assertTrue(self.tableExists(AliasModel1))
self.assertEqual(self.getTableFields(AliasModel1),
self.assertTrue(self.table_exists(AliasModel1))
self.assertEqual(self.get_table_fields(AliasModel1),
[('date', 'Date'), ('int_field', 'Int8'), ('date_alias', 'Date'), ('int_field_plus_one', 'Int8')])
# Codecs and low cardinality
self.database.migrate('tests.sample_migrations', 15)
self.assertTrue(self.table_exists(Model4_compressed))
if self.database.has_low_cardinality_support:
self.assertEqual(self.get_table_fields(Model2LowCardinality),
[('date', 'Date'), ('f1', 'LowCardinality(Int32)'), ('f3', 'LowCardinality(Float32)'),
('f2', 'LowCardinality(String)'), ('f4', 'LowCardinality(Nullable(String))'), ('f5', 'Array(LowCardinality(UInt64))')])
else:
logging.warning('No support for low cardinality')
self.assertEqual(self.get_table_fields(Model2),
[('date', 'Date'), ('f1', 'Int32'), ('f3', 'Float32'), ('f2', 'String'), ('f4', 'Nullable(String)'),
('f5', 'Array(UInt64)')])
if self.database.server_version >= (19, 14, 3, 3):
# Creating constraints
self.database.migrate('tests.sample_migrations', 16)
self.assertTrue(self.table_exists(ModelWithConstraints))
self.database.insert([ModelWithConstraints(f1=101, f2='a')])
with self.assertRaises(ServerError):
self.database.insert([ModelWithConstraints(f1=99, f2='a')])
with self.assertRaises(ServerError):
self.database.insert([ModelWithConstraints(f1=101, f2='x')])
# Modifying constraints
self.database.migrate('tests.sample_migrations', 17)
self.database.insert([ModelWithConstraints(f1=99, f2='a')])
with self.assertRaises(ServerError):
self.database.insert([ModelWithConstraints(f1=101, f2='a')])
with self.assertRaises(ServerError):
self.database.insert([ModelWithConstraints(f1=99, f2='x')])
if self.database.server_version >= (20, 1, 2, 4):
# Creating indexes
self.database.migrate('tests.sample_migrations', 18)
self.assertTrue(self.table_exists(ModelWithIndex))
self.assertIn('INDEX index ', self.get_table_def(ModelWithIndex))
self.assertIn('INDEX another_index ', self.get_table_def(ModelWithIndex))
# Modifying indexes
self.database.migrate('tests.sample_migrations', 19)
self.assertNotIn('INDEX index ', self.get_table_def(ModelWithIndex))
self.assertIn('INDEX index2 ', self.get_table_def(ModelWithIndex))
self.assertIn('INDEX another_index ', self.get_table_def(ModelWithIndex))
# Several different models with the same table name, to simulate a table that changes over time
@ -258,3 +298,96 @@ class Model4Buffer_changed(BufferModel, Model4_changed):
@classmethod
def table_name(cls):
return 'model4buffer'
class Model4_compressed(Model):
date = DateField()
f3 = DateTimeField(codec='Delta,ZSTD(10)')
f2 = StringField(codec='LZ4HC')
engine = MergeTree('date', ('date',))
@classmethod
def table_name(cls):
return 'model4'
class Model2LowCardinality(Model):
date = DateField()
f1 = LowCardinalityField(Int32Field())
f3 = LowCardinalityField(Float32Field())
f2 = LowCardinalityField(StringField())
f4 = LowCardinalityField(NullableField(StringField()))
f5 = ArrayField(LowCardinalityField(UInt64Field()))
engine = MergeTree('date', ('date',))
@classmethod
def table_name(cls):
return 'mig'
class ModelWithConstraints(Model):
date = DateField()
f1 = Int32Field()
f2 = StringField()
constraint = Constraint(f2.isIn(['a', 'b', 'c'])) # check reserved keyword as constraint name
f1_constraint = Constraint(f1 > 100)
engine = MergeTree('date', ('date',))
@classmethod
def table_name(cls):
return 'modelwithconstraints'
class ModelWithConstraints2(Model):
date = DateField()
f1 = Int32Field()
f2 = StringField()
constraint = Constraint(f2.isIn(['a', 'b', 'c']))
f1_constraint_new = Constraint(f1 < 100)
engine = MergeTree('date', ('date',))
@classmethod
def table_name(cls):
return 'modelwithconstraints'
class ModelWithIndex(Model):
date = DateField()
f1 = Int32Field()
f2 = StringField()
index = Index(f1, type=Index.minmax(), granularity=1)
another_index = Index(f2, type=Index.set(0), granularity=1)
engine = MergeTree('date', ('date',))
@classmethod
def table_name(cls):
return 'modelwithindex'
class ModelWithIndex2(Model):
date = DateField()
f1 = Int32Field()
f2 = StringField()
index2 = Index(f1, type=Index.bloom_filter(), granularity=2)
another_index = Index(f2, type=Index.set(0), granularity=1)
engine = MergeTree('date', ('date',))
@classmethod
def table_name(cls):
return 'modelwithindex'

View File

@ -1,11 +1,11 @@
from __future__ import unicode_literals
import unittest
import datetime
import pytz
from infi.clickhouse_orm.models import Model
from infi.clickhouse_orm.models import Model, NO_VALUE
from infi.clickhouse_orm.fields import *
from infi.clickhouse_orm.engines import *
from infi.clickhouse_orm.funcs import F
class ModelTestCase(unittest.TestCase):
@ -18,6 +18,7 @@ class ModelTestCase(unittest.TestCase):
self.assertEqual(instance.str_field, 'dozo')
self.assertEqual(instance.int_field, 17)
self.assertEqual(instance.float_field, 0)
self.assertEqual(instance.default_func, NO_VALUE)
def test_assignment(self):
# Check that all fields are assigned during construction
@ -63,15 +64,17 @@ class ModelTestCase(unittest.TestCase):
"int_field": 100,
"float_field": 7.0,
"datetime_field": datetime.datetime(1970, 1, 1, 0, 0, 0, tzinfo=pytz.utc),
"alias_field": 0.0,
'str_field': 'dozo'
"alias_field": NO_VALUE,
"str_field": "dozo",
"default_func": NO_VALUE
})
self.assertDictEqual(instance.to_dict(include_readonly=False), {
"date_field": datetime.date(1973, 12, 6),
"int_field": 100,
"float_field": 7.0,
"datetime_field": datetime.datetime(1970, 1, 1, 0, 0, 0, tzinfo=pytz.utc),
'str_field': 'dozo'
"str_field": "dozo",
"default_func": NO_VALUE
})
self.assertDictEqual(
instance.to_dict(include_readonly=False, field_names=('int_field', 'alias_field', 'datetime_field')), {
@ -86,7 +89,7 @@ class ModelTestCase(unittest.TestCase):
self.assertEqual(
"Invalid value for StringField: {} (field 'str_field')".format(repr(bad_value)),
text_type(cm.exception)
str(cm.exception)
)
def test_field_name_in_error_message_for_invalid_value_in_assignment(self):
@ -97,7 +100,7 @@ class ModelTestCase(unittest.TestCase):
self.assertEqual(
"Invalid value for Float32Field - {} (field 'float_field')".format(repr(bad_value)),
text_type(cm.exception)
str(cm.exception)
)
@ -109,5 +112,6 @@ class SimpleModel(Model):
int_field = Int32Field(default=17)
float_field = Float32Field()
alias_field = Float32Field(alias='float_field')
default_func = Float32Field(default=F.sqrt(float_field) + 17)
engine = MergeTree('date_field', ('int_field', 'date_field'))

87
tests/test_mutations.py Normal file
View File

@ -0,0 +1,87 @@
import unittest
from infi.clickhouse_orm import F
from .base_test_with_data import *
from time import sleep
class MutationsTestCase(TestCaseWithData):
def setUp(self):
super().setUp()
if self.database.server_version < (18,):
raise unittest.SkipTest('ClickHouse version too old')
self._insert_all()
def _wait_for_mutations(self):
sql = 'SELECT * FROM system.mutations WHERE is_done = 0'
while list(self.database.raw(sql)):
sleep(0.25)
def test_delete_all(self):
Person.objects_in(self.database).delete()
self._wait_for_mutations()
self.assertFalse(Person.objects_in(self.database))
def test_delete_with_where_cond(self):
cond = Person.first_name == 'Cassady'
self.assertTrue(Person.objects_in(self.database).filter(cond))
Person.objects_in(self.database).filter(cond).delete()
self._wait_for_mutations()
self.assertFalse(Person.objects_in(self.database).filter(cond))
self.assertTrue(Person.objects_in(self.database).exclude(cond))
def test_delete_with_prewhere_cond(self):
cond = F.toYear(Person.birthday) == 1977
self.assertTrue(Person.objects_in(self.database).filter(cond))
Person.objects_in(self.database).filter(cond, prewhere=True).delete()
self._wait_for_mutations()
self.assertFalse(Person.objects_in(self.database).filter(cond))
self.assertTrue(Person.objects_in(self.database).exclude(cond))
def test_update_all(self):
Person.objects_in(self.database).update(height=0)
self._wait_for_mutations()
for p in Person.objects_in(self.database): print(p.height)
self.assertFalse(Person.objects_in(self.database).exclude(height=0))
def test_update_with_where_cond(self):
cond = Person.first_name == 'Cassady'
Person.objects_in(self.database).filter(cond).update(height=0)
self._wait_for_mutations()
self.assertFalse(Person.objects_in(self.database).filter(cond).exclude(height=0))
def test_update_with_prewhere_cond(self):
cond = F.toYear(Person.birthday) == 1977
Person.objects_in(self.database).filter(cond, prewhere=True).update(height=0)
self._wait_for_mutations()
self.assertFalse(Person.objects_in(self.database).filter(cond).exclude(height=0))
def test_update_multiple_fields(self):
Person.objects_in(self.database).update(height=0, passport=None)
self._wait_for_mutations()
self.assertFalse(Person.objects_in(self.database).exclude(height=0))
self.assertFalse(Person.objects_in(self.database).exclude(passport=None))
def test_chained_update(self):
Person.objects_in(self.database).update(height=F.rand()).update(passport=99999)
self._wait_for_mutations()
self.assertFalse(Person.objects_in(self.database).exclude(passport=99999))
def test_invalid_state_for_mutations(self):
base_query = Person.objects_in(self.database)
queries = [
base_query[0:1],
base_query.limit_by(5, 'first_name'),
base_query.distinct(),
base_query.aggregate('first_name', count=F.count())
]
for query in queries:
print(query)
with self.assertRaises(AssertionError):
query.delete()
with self.assertRaises(AssertionError):
query.update(height=1.8)
def test_missing_fields_for_update(self):
with self.assertRaises(AssertionError):
Person.objects_in(self.database).update()

View File

@ -1,4 +1,3 @@
from __future__ import unicode_literals
import unittest
import pytz
@ -38,7 +37,7 @@ class NullableFieldsTest(unittest.TestCase):
if value == '\\N':
self.assertIsNone(dt)
else:
self.assertEqual(dt.tzinfo, pytz.utc)
self.assertTrue(dt.tzinfo)
# Verify that conversion to and from db string does not change value
dt2 = f.to_python(f.to_db_string(dt, quote=False), pytz.utc)
self.assertEqual(dt, dt2)

View File

@ -1,17 +1,16 @@
# -*- coding: utf-8 -*-
from __future__ import unicode_literals, print_function
import unittest
from infi.clickhouse_orm.database import Database
from infi.clickhouse_orm.query import Q
from infi.clickhouse_orm.funcs import F
from .base_test_with_data import *
import logging
from datetime import date, datetime
from enum import Enum
from decimal import Decimal
from logging import getLogger
logger = getLogger('tests')
try:
Enum # exists in Python 3.4+
except NameError:
from enum import Enum # use the enum34 library instead
class QuerySetTestCase(TestCaseWithData):
@ -21,11 +20,11 @@ class QuerySetTestCase(TestCaseWithData):
self.database.insert(self._sample_data())
def _test_qs(self, qs, expected_count):
logging.info(qs.as_sql())
logger.info(qs.as_sql())
count = 0
for instance in qs:
count += 1
logging.info('\t[%d]\t%s' % (count, instance.to_dict()))
logger.info('\t[%d]\t%s' % (count, instance.to_dict()))
self.assertEqual(count, expected_count)
self.assertEqual(qs.count(), expected_count)
@ -227,7 +226,7 @@ class QuerySetTestCase(TestCaseWithData):
qs = Person.objects_in(self.database).order_by('first_name', 'last_name')
# Try different page sizes
for page_size in (1, 2, 7, 10, 30, 100, 150):
# Iterate over pages and collect all intances
# Iterate over pages and collect all instances
page_num = 1
instances = set()
while True:
@ -287,7 +286,7 @@ class QuerySetTestCase(TestCaseWithData):
self._test_qs(qs[80:], 20)
def test_final(self):
# Final can be used with CollapsingMergeTree engine only
# Final can be used with CollapsingMergeTree/ReplacingMergeTree engines only
with self.assertRaises(TypeError):
Person.objects_in(self.database).final()
@ -297,6 +296,29 @@ class QuerySetTestCase(TestCaseWithData):
for item, exp_color in zip(res, (Color.red, Color.green, Color.white, Color.blue)):
self.assertEqual(exp_color, item.color)
def test_mixed_filter(self):
qs = Person.objects_in(self.database)
qs = qs.filter(Q(first_name='a'), F('greater', Person.height, 1.7), last_name='b')
self.assertEqual(qs.conditions_as_sql(),
"(first_name = 'a') AND (greater(`height`, 1.7)) AND (last_name = 'b')")
def test_precedence_of_negation(self):
p = ~Q(first_name='a')
q = Q(last_name='b')
r = p & q
self.assertEqual(r.to_sql(Person), "(last_name = 'b') AND (NOT (first_name = 'a'))")
r = q & p
self.assertEqual(r.to_sql(Person), "(last_name = 'b') AND (NOT (first_name = 'a'))")
r = q | p
self.assertEqual(r.to_sql(Person), "(last_name = 'b') OR (NOT (first_name = 'a'))")
r = ~q & p
self.assertEqual(r.to_sql(Person), "(NOT (last_name = 'b')) AND (NOT (first_name = 'a'))")
def test_invalid_filter(self):
qs = Person.objects_in(self.database)
with self.assertRaises(TypeError):
qs.filter('foo')
class AggregateTestCase(TestCaseWithData):
@ -311,6 +333,13 @@ class AggregateTestCase(TestCaseWithData):
for row in qs:
self.assertAlmostEqual(row.average_height, 1.6923, places=4)
self.assertEqual(row.count, 100)
# With functions
qs = Person.objects_in(self.database).aggregate(average_height=F.avg(Person.height), count=F.count())
print(qs.as_sql())
self.assertEqual(qs.count(), 1)
for row in qs:
self.assertAlmostEqual(row.average_height, 1.6923, places=4)
self.assertEqual(row.count, 100)
def test_aggregate_with_filter(self):
# When filter comes before aggregate
@ -328,6 +357,22 @@ class AggregateTestCase(TestCaseWithData):
self.assertAlmostEqual(row.average_height, 1.675, places=4)
self.assertEqual(row.count, 2)
def test_aggregate_with_filter__funcs(self):
# When filter comes before aggregate
qs = Person.objects_in(self.database).filter(Person.first_name=='Warren').aggregate(average_height=F.avg(Person.height), count=F.count())
print(qs.as_sql())
self.assertEqual(qs.count(), 1)
for row in qs:
self.assertAlmostEqual(row.average_height, 1.675, places=4)
self.assertEqual(row.count, 2)
# When filter comes after aggregate
qs = Person.objects_in(self.database).aggregate(average_height=F.avg(Person.height), count=F.count()).filter(Person.first_name=='Warren')
print(qs.as_sql())
self.assertEqual(qs.count(), 1)
for row in qs:
self.assertAlmostEqual(row.average_height, 1.675, places=4)
self.assertEqual(row.count, 2)
def test_aggregate_with_implicit_grouping(self):
qs = Person.objects_in(self.database).aggregate('first_name', average_height='avg(height)', count='count()')
print(qs.as_sql())
@ -436,6 +481,28 @@ class AggregateTestCase(TestCaseWithData):
qs = Mdl.objects_in(self.database).filter(the__next__number__gt=1)
self.assertEqual(qs.conditions_as_sql(), 'the__next__number > 1')
def test_limit_by(self):
if self.database.server_version < (19, 17):
raise unittest.SkipTest('ClickHouse version too old')
# Test without offset
qs = Person.objects_in(self.database).aggregate('first_name', 'last_name', 'height', n='count()').\
order_by('first_name', '-height').limit_by(1, 'first_name')
self.assertEqual(qs.count(), 94)
self.assertEqual(list(qs)[89].last_name, 'Bowen')
# Test with funcs and fields
qs = Person.objects_in(self.database).aggregate(Person.first_name, Person.last_name, Person.height, n=F.count()).\
order_by(Person.first_name, '-height').limit_by(1, F.upper(Person.first_name))
self.assertEqual(qs.count(), 94)
self.assertEqual(list(qs)[89].last_name, 'Bowen')
# Test with limit and offset, also mixing LIMIT with LIMIT BY
qs = Person.objects_in(self.database).filter(height__gt=1.67).order_by('height', 'first_name')
limited_qs = qs.limit_by((0, 3), 'height')
self.assertEqual([p.first_name for p in limited_qs[:3]], ['Amanda', 'Buffy', 'Dora'])
limited_qs = qs.limit_by((3, 3), 'height')
self.assertEqual([p.first_name for p in limited_qs[:3]], ['Elton', 'Josiah', 'Macaulay'])
limited_qs = qs.limit_by((6, 3), 'height')
self.assertEqual([p.first_name for p in limited_qs[:3]], ['Norman', 'Octavius', 'Oliver'])
Color = Enum('Color', u'red blue green yellow brown white black')

View File

@ -1,5 +1,4 @@
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from infi.clickhouse_orm.database import DatabaseException, ServerError
from .base_test_with_data import *
@ -26,7 +25,9 @@ class ReadonlyTestCase(TestCaseWithData):
self.database.drop_database()
self._check_db_readonly_err(cm.exception, drop_table=True)
except ServerError as e:
if e.code == 192 and e.message.startswith('Unknown user'):
if e.code == 192 and e.message.startswith('Unknown user'): # ClickHouse version < 20.3
raise unittest.SkipTest('Database user "%s" is not defined' % username)
elif e.code == 516 and e.message.startswith('readonly: Authentication failed'): # ClickHouse version >= 20.3
raise unittest.SkipTest('Database user "%s" is not defined' % username)
else:
raise
@ -35,7 +36,10 @@ class ReadonlyTestCase(TestCaseWithData):
def _check_db_readonly_err(self, exc, drop_table=None):
self.assertEqual(exc.code, 164)
if drop_table:
print(exc.message)
if self.database.server_version >= (20, 3):
self.assertTrue('Cannot execute query in readonly mode' in exc.message)
elif drop_table:
self.assertTrue(exc.message.startswith('Cannot drop table in readonly mode'))
else:
self.assertTrue(exc.message.startswith('Cannot insert into table in readonly mode'))

View File

@ -1,4 +1,3 @@
from __future__ import unicode_literals
import unittest
from infi.clickhouse_orm.database import ServerError

View File

@ -1,4 +1,3 @@
from __future__ import unicode_literals
import unittest
from infi.clickhouse_orm.fields import *
from datetime import date, datetime
@ -7,17 +6,21 @@ import pytz
class SimpleFieldsTest(unittest.TestCase):
epoch = datetime(1970, 1, 1, tzinfo=pytz.utc)
# Valid values
dates = [
date(1970, 1, 1), datetime(1970, 1, 1), epoch,
epoch.astimezone(pytz.timezone('US/Eastern')), epoch.astimezone(pytz.timezone('Asia/Jerusalem')),
'1970-01-01 00:00:00', '1970-01-17 00:00:17', '0000-00-00 00:00:00', 0,
'2017-07-26T08:31:05', '2017-07-26T08:31:05Z', '2017-07-26 08:31',
'2017-07-26T13:31:05+05', '2017-07-26 13:31:05+0500'
]
def test_datetime_field(self):
f = DateTimeField()
epoch = datetime(1970, 1, 1, tzinfo=pytz.utc)
# Valid values
for value in (date(1970, 1, 1), datetime(1970, 1, 1), epoch,
epoch.astimezone(pytz.timezone('US/Eastern')), epoch.astimezone(pytz.timezone('Asia/Jerusalem')),
'1970-01-01 00:00:00', '1970-01-17 00:00:17', '0000-00-00 00:00:00', 0,
'2017-07-26T08:31:05', '2017-07-26T08:31:05Z', '2017-07-26 08:31',
'2017-07-26T13:31:05+05', '2017-07-26 13:31:05+0500'):
for value in self.dates:
dt = f.to_python(value, pytz.utc)
self.assertEqual(dt.tzinfo, pytz.utc)
self.assertTrue(dt.tzinfo)
# Verify that conversion to and from db string does not change value
dt2 = f.to_python(f.to_db_string(dt, quote=False), pytz.utc)
self.assertEqual(dt, dt2)
@ -27,6 +30,35 @@ class SimpleFieldsTest(unittest.TestCase):
with self.assertRaises(ValueError):
f.to_python(value, pytz.utc)
def test_datetime64_field(self):
f = DateTime64Field()
# Valid values
for value in self.dates + [
datetime(1970, 1, 1, microsecond=100000),
pytz.timezone('US/Eastern').localize(datetime(1970, 1, 1, microsecond=100000)),
'1970-01-01 00:00:00.1', '1970-01-17 00:00:17.1', '0000-00-00 00:00:00.1', 0.1,
'2017-07-26T08:31:05.1', '2017-07-26T08:31:05.1Z', '2017-07-26 08:31.1',
'2017-07-26T13:31:05.1+05', '2017-07-26 13:31:05.1+0500'
]:
dt = f.to_python(value, pytz.utc)
self.assertTrue(dt.tzinfo)
# Verify that conversion to and from db string does not change value
dt2 = f.to_python(f.to_db_string(dt, quote=False), pytz.utc)
self.assertEqual(dt, dt2)
# Invalid values
for value in ('nope', '21/7/1999',
'2017-01 15:06:00', '2017-01-01X15:06:00', '2017-13-01T15:06:00'):
with self.assertRaises(ValueError):
f.to_python(value, pytz.utc)
def test_datetime64_field_precision(self):
for precision in range(1, 7):
f = DateTime64Field(precision=precision, timezone=pytz.utc)
dt = f.to_python(datetime(2000, 1, 1, microsecond=123456), pytz.utc)
dt2 = f.to_python(f.to_db_string(dt, quote=False), pytz.utc)
m = round(123456, precision - 6) # round rightmost microsecond digits according to precision
self.assertEqual(dt2, dt.replace(microsecond=m))
def test_date_field(self):
f = DateField()
epoch = date(1970, 1, 1)

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@ -1,5 +1,3 @@
from __future__ import unicode_literals
import unittest
from datetime import date

View File

@ -1,4 +1,3 @@
from __future__ import unicode_literals
import unittest
from uuid import UUID
from infi.clickhouse_orm.database import Database
@ -16,6 +15,8 @@ class UUIDFieldsTest(unittest.TestCase):
self.database.drop_database()
def test_uuid_field(self):
if self.database.server_version < (18, 1):
raise unittest.SkipTest('ClickHouse version too old')
# Create a model
class TestModel(Model):
i = Int16Field()