Support for data skipping indexes

This commit is contained in:
Itai Shirav 2020-06-06 20:56:32 +03:00
parent 22cd908a49
commit 635197de38
13 changed files with 446 additions and 135 deletions

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@ -4,6 +4,7 @@ Change Log
Unreleased
----------
- Support for model constraints
- Support for data skipping indexes
v2.0.1
------

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@ -731,16 +731,84 @@ Defines a model constraint.
#### Constraint(expr)
Initializer. Requires an expression that ClickHouse will verify when inserting data.
Initializer. Expects an expression that ClickHouse will verify when inserting data.
#### create_table_sql()
Returns the SQL statement for defining this constraint on table creation.
Returns the SQL statement for defining this constraint during table creation.
#### str()
### Index
Defines a data-skipping index.
#### Index(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).
#### bloom_filter()
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
#### create_table_sql()
Returns the SQL statement for defining this index during table creation.
#### 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.
#### ngrambf_v1(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.
#### set()
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.
#### tokenbf_v1(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.
infi.clickhouse_orm.fields

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@ -9,7 +9,7 @@ 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
class Person(Model):
@ -20,6 +20,7 @@ Models are defined in a way reminiscent of Django's ORM, by subclassing `Model`:
height = Float32Field()
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).
@ -66,7 +67,7 @@ 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):
...
@ -74,24 +75,37 @@ The table name used for the model is its class name, converted to lowercase. To
@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:
from infi.clickhouse_orm import Model, Constraint, F, StringField, DateField, Float32Field, MergeTree
```python
class Person(Model):
first_name = StringField()
last_name = StringField()
birthday = DateField()
height = Float32Field()
...
# Ensure that the birthday is not a future date
birthday_is_in_the_past = Constraint(birthday <= F.today())
```
engine = MergeTree('birthday', ('first_name', 'last_name', 'birthday'))
### 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)
```
Using Models

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@ -11,6 +11,7 @@
* [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)
@ -85,6 +86,7 @@
* [MergeModel](class_reference.md#mergemodel)
* [DistributedModel](class_reference.md#distributedmodel)
* [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)

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@ -132,7 +132,7 @@ if __name__ == '__main__':
print('===============')
print()
module_doc([database.Database, database.DatabaseException])
module_doc([models.Model, models.BufferModel, models.MergeModel, models.DistributedModel, models.Constraint])
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, query.Q])

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@ -1,9 +1,8 @@
from datetime import date, datetime, tzinfo, timedelta
from functools import wraps
from inspect import signature, Parameter
from types import FunctionType
from .utils import is_iterable, comma_join, NO_VALUE
from .utils import is_iterable, comma_join, NO_VALUE, arg_to_sql
from .query import Cond, QuerySet
@ -263,43 +262,9 @@ class F(Cond, FunctionOperatorsMixin, metaclass=FMeta):
else:
prefix = self.name
sep = ', '
arg_strs = (F._arg_to_sql(arg) for arg in self.args if arg != NO_VALUE)
arg_strs = (arg_to_sql(arg) for arg in self.args if arg != NO_VALUE)
return prefix + '(' + sep.join(arg_strs) + ')'
@staticmethod
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 .fields import Field, StringField, DateTimeField, DateField
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(F._arg_to_sql(x) for x in arg) + ')'
if is_iterable(arg):
return '[' + comma_join(F._arg_to_sql(x) for x in arg) + ']'
return str(arg)
# Arithmetic functions
@staticmethod

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@ -26,12 +26,13 @@ class ModelOperation(Operation):
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.model_class.table_name(), cmd)
cmd = "ALTER TABLE $db.`%s` %s" % (self.table_name, cmd)
logger.debug(cmd)
database.raw(cmd)
@ -42,7 +43,7 @@ class CreateTable(ModelOperation):
'''
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)
@ -59,11 +60,11 @@ class AlterTable(ModelOperation):
'''
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 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
@ -131,7 +132,7 @@ class DropTable(ModelOperation):
'''
def apply(self, database):
logger.info(' Drop table %s', self.model_class.table_name())
logger.info(' Drop table %s', self.table_name)
database.drop_table(self.model_class)
@ -144,7 +145,7 @@ class AlterConstraints(ModelOperation):
'''
def apply(self, database):
logger.info(' Alter constraints for %s', self.model_class.table_name())
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():
@ -164,8 +165,56 @@ class AlterConstraints(ModelOperation):
Returns a set containing the names of existing constraints in the table.
'''
import re
create_table_sql = database.raw('SHOW CREATE TABLE $db.`%s`' % self.model_class.table_name())
matches = re.findall(r'\sCONSTRAINT\s+`?(.+?)`?\s+CHECK\s', create_table_sql, flags=re.IGNORECASE)
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')
self.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)

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@ -7,7 +7,7 @@ from logging import getLogger
import pytz
from .fields import Field, StringField
from .utils import parse_tsv, NO_VALUE, get_subclass_names
from .utils import parse_tsv, NO_VALUE, get_subclass_names, arg_to_sql
from .query import QuerySet
from .funcs import F
from .engines import Merge, Distributed
@ -16,7 +16,7 @@ logger = getLogger('clickhouse_orm')
class Constraint():
class Constraint:
'''
Defines a model constraint.
'''
@ -34,10 +34,89 @@ class Constraint():
'''
Returns the SQL statement for defining this constraint during table creation.
'''
return 'CONSTRAINT `%s` CHECK %s' % (self.name, self.expr)
return 'CONSTRAINT `%s` CHECK %s' % (self.name, arg_to_sql(self.expr))
def str(self):
return self.create_table_sql()
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):
@ -48,21 +127,29 @@ class ModelBase(type):
ad_hoc_model_cache = {}
def __new__(cls, name, bases, attrs):
# Collect fields and constraints from parent classes
fields = dict()
constraints = dict()
# Collect fields, constraints and indexes from parent classes
fields = {}
constraints = {}
indexes = {}
for base in bases:
if isinstance(base, ModelBase):
fields.update(base._fields)
constraints.update(base._constraints)
indexes.update(base._indexes)
# Build a list of (name, field) tuples, in the order they were listed in the class
fields.update({n: f for n, f in attrs.items() if isinstance(f, Field)})
# 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
# 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 list of constraints
constraints.update({n: c for n, c in attrs.items() if isinstance(c, Constraint)})
# Build a dictionary of default values
defaults = {}
has_funcs_as_defaults = False
@ -75,18 +162,20 @@ class ModelBase(type):
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,
_has_funcs_as_defaults=has_funcs_as_defaults
)
model = super(ModelBase, cls).__new__(cls, str(name), bases, attrs)
# Let each field and constraint know its parent and its own name
for n, obj in chain(fields, constraints.items()):
# 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)
@ -255,24 +344,22 @@ class Model(metaclass=ModelBase):
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 = []
# Fields
items = []
for name, field in cls.fields().items():
cols.append(' %s %s' % (name, field.get_sql(db=db)))
parts.append(',\n'.join(cols))
parts.append(cls._constraints_sql())
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)
@classmethod
def _constraints_sql(cls):
'''
Returns this model's contraints as SQL.
'''
if not cls._constraints:
return ''
return ',' + ',\n'.join(c.create_table_sql() for c in cls._constraints.values())
@classmethod
def drop_table_sql(cls, db):
'''
@ -420,7 +507,6 @@ class MergeModel(Model):
if name != '_table':
cols.append(' %s %s' % (name, field.get_sql(db=db)))
parts.append(',\n'.join(cols))
parts.append(cls._constraints_sql())
parts.append(')')
parts.append('ENGINE = ' + cls.engine.create_table_sql(db))
return '\n'.join(parts)
@ -510,4 +596,4 @@ class DistributedModel(Model):
# Expose only relevant classes in import *
__all__ = get_subclass_names(locals(), (Model, Constraint))
__all__ = get_subclass_names(locals(), (Model, Constraint, Index))

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@ -1,6 +1,6 @@
from __future__ import unicode_literals
import codecs
import re
from datetime import date, datetime, tzinfo, timedelta
SPECIAL_CHARS = {
@ -42,6 +42,40 @@ 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 isinstance(line, bytes):
line = line.decode()

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

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

32
tests/test_indexes.py Normal file
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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 < (19, 3, 3):
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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@ -2,7 +2,7 @@ from __future__ import unicode_literals
import unittest
from infi.clickhouse_orm.database import Database, ServerError
from infi.clickhouse_orm.models import Model, BufferModel, Constraint
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
@ -27,55 +27,58 @@ 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`' % self.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)
@ -88,29 +91,29 @@ 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.tableExists(Model4_compressed))
self.assertTrue(self.table_exists(Model4_compressed))
if self.database.has_low_cardinality_support:
self.assertEqual(self.getTableFields(Model2LowCardinality),
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.getTableFields(Model2),
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):
# Adding constraints
# Creating constraints
self.database.migrate('tests.sample_migrations', 16)
self.assertTrue(self.tableExists(ModelWithConstraints))
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')])
@ -124,6 +127,19 @@ class MigrationsTestCase(unittest.TestCase):
with self.assertRaises(ServerError):
self.database.insert([ModelWithConstraints(f1=99, f2='x')])
if self.database.server_version < (19, 3, 3):
# Creating indexes
self.database.migrate('tests.sample_migrations', 18)
self.assertTrue(self.table_exists(ModelWithIndex))
self.assertIn('INDEX `index`', self.get_table_def())
self.assertIn('INDEX another_index', self.get_table_def())
# Modifying indexes
self.database.migrate('tests.sample_migrations', 19)
self.assertNotIn('INDEX `index`', self.get_table_def())
self.assertIn('INDEX index2', self.get_table_def())
self.assertIn('INDEX another_index', self.get_table_def())
# Several different models with the same table name, to simulate a table that changes over time
class Model1(Model):
@ -344,3 +360,35 @@ class ModelWithConstraints2(Model):
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'