Infinidat/infi.clickhouse_orm

Fork 0

mirror of https://github.com/Infinidat/infi.clickhouse_orm.git synced 2024-11-10 19:36:33 +03:00

Itai Shirav 393209e624 Support for model constraints

2020-06-06 11:07:01 +03:00

46 KiB

Raw Blame History

Class Reference

infi.clickhouse_orm.database

Database

Database instances connect to a specific ClickHouse database for running queries, inserting data and other operations.

Database(db_name, db_url="http://localhost:8123/", username=None, password=None, readonly=False, autocreate=True, timeout=60, verify_ssl_cert=True, log_statements=False)

Initializes a database instance. Unless it's readonly, the database will be created on the ClickHouse server if it does not already exist.

db_name: name of the database to connect to.
db_url: URL of the ClickHouse server.
username: optional connection credentials.
password: optional connection credentials.
readonly: use a read-only connection.
autocreate: automatically create the database if it does not exist (unless in readonly mode).
timeout: the connection timeout in seconds.
verify_ssl_cert: whether to verify the server's certificate when connecting via HTTPS.
log_statements: when True, all database statements are logged.

add_setting(name, value)

Adds a database setting that will be sent with every request. For example, db.add_setting("max_execution_time", 10) will limit query execution time to 10 seconds. 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.

count(model_class, conditions=None)

Counts the number of records in the model's table.

model_class: the model to count.
conditions: optional SQL conditions (contents of the WHERE clause).

create_database()

Creates the database on the ClickHouse server if it does not already exist.

create_table(model_class)

Creates a table for the given model class, if it does not exist already.

does_table_exist(model_class)

Checks whether a table for the given model class already exists. Note that this only checks for existence of a table with the expected name.

drop_database()

Deletes the database on the ClickHouse server.

drop_table(model_class)

Drops the database table of the given model class, if it exists.

get_model_for_table(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

insert(model_instances, batch_size=1000)

Insert records into the database.

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).

migrate(migrations_package_name, up_to=9999)

Executes schema migrations.

migrations_package_name - fully qualified name of the Python package containing the migrations.
up_to - number of the last migration to apply.

paginate(model_class, order_by, page_num=1, page_size=100, conditions=None, settings=None)

Selects records and returns a single page of model instances.

model_class: the model class matching the query's table, or None for getting back instances of an ad-hoc model.
order_by: columns to use for sorting the query (contents of the ORDER BY clause).
page_num: the page number (1-based), or -1 to get the last page.
page_size: number of records to return per page.
conditions: optional SQL conditions (contents of the WHERE clause).
settings: query settings to send as HTTP GET parameters

The result is a namedtuple containing objects (list), number_of_objects, pages_total, number (of the current page), and page_size.

raw(query, settings=None, stream=False)

Performs a query and returns its output as text.

query: the SQL query to execute.
settings: query settings to send as HTTP GET parameters
stream: if true, the HTTP response from ClickHouse will be streamed.

select(query, model_class=None, settings=None)

Performs a query and returns a generator of model instances.

query: the SQL query to execute.
model_class: the model class matching the query's table, or None for getting back instances of an ad-hoc model.
settings: query settings to send as HTTP GET parameters

DatabaseException

Extends Exception

Raised when a database operation fails.

infi.clickhouse_orm.models

Model

A base class for ORM models. Each model class represent a ClickHouse table. For example:

class CPUStats(Model):
    timestamp = DateTimeField()
    cpu_id = UInt16Field()
    cpu_percent = Float32Field()
    engine = Memory()

Model(**kwargs)

Creates a model instance, using keyword arguments as field values. Since values are immediately converted to their Pythonic type, invalid values will cause a ValueError to be raised. Unrecognized field names will cause an AttributeError.

Model.create_table_sql(db)

Returns the SQL statement for creating a table for this model.

Model.drop_table_sql(db)

Returns the SQL command for deleting this model's table.

Model.fields(writable=False)

Returns an OrderedDict of the model's fields (from name to Field instance). If writable is true, only writable fields are included. Callers should not modify the dictionary.

Model.from_tsv(line, field_names, timezone_in_use=UTC, database=None)

Create a model instance from a tab-separated line. The line may or may not include a newline. The field_names list must match the fields defined in the model, but does not have to include all of them.

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.
database: if given, sets the database that this instance belongs to.

get_database()

Gets the Database that this model instance belongs to. Returns None unless the instance was read from the database or written to it.

get_field(name)

Gets a Field instance given its name, or None if not found.

Model.has_funcs_as_defaults()

Return True if some of the model's fields use a function expression as a default value. This requires special handling when inserting instances.

Model.is_read_only()

Returns true if the model is marked as read only.

Model.is_system_model()

Returns true if the model represents a system table.

Model.objects_in(database)

Returns a QuerySet for selecting instances of this model class.

set_database(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.

Model.table_name()

Returns the model's database table name. By default this is the class name converted to lowercase. Override this if you want to use a different table name.

to_db_string()

Returns the instance as a bytestring ready to be inserted into the database.

to_dict(include_readonly=True, field_names=None)

Returns the instance's column values as a dict.

include_readonly: if false, returns only fields that can be inserted into database.
field_names: an iterable of field names to return (optional)

to_tskv(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.

to_tsv(include_readonly=True)

Returns the instance's column values as a tab-separated line. A newline is not included.

include_readonly: if false, returns only fields that can be inserted into database.

BufferModel

Extends Model

BufferModel(**kwargs)

BufferModel.create_table_sql(db)

Returns the SQL statement for creating a table for this model.

BufferModel.drop_table_sql(db)

Returns the SQL command for deleting this model's table.

BufferModel.fields(writable=False)

Returns an OrderedDict of the model's fields (from name to Field instance). If writable is true, only writable fields are included. Callers should not modify the dictionary.

BufferModel.from_tsv(line, field_names, timezone_in_use=UTC, database=None)

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.
database: if given, sets the database that this instance belongs to.

get_database()

Gets the Database that this model instance belongs to. Returns None unless the instance was read from the database or written to it.

get_field(name)

Gets a Field instance given its name, or None if not found.

BufferModel.has_funcs_as_defaults()

Return True if some of the model's fields use a function expression as a default value. This requires special handling when inserting instances.

BufferModel.is_read_only()

Returns true if the model is marked as read only.

BufferModel.is_system_model()

Returns true if the model represents a system table.

BufferModel.objects_in(database)

Returns a QuerySet for selecting instances of this model class.

set_database(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.

BufferModel.table_name()

Returns the model's database table name. By default this is the class name converted to lowercase. Override this if you want to use a different table name.

to_db_string()

Returns the instance as a bytestring ready to be inserted into the database.

to_dict(include_readonly=True, field_names=None)

Returns the instance's column values as a dict.

include_readonly: if false, returns only fields that can be inserted into database.
field_names: an iterable of field names to return (optional)

to_tskv(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.

to_tsv(include_readonly=True)

Returns the instance's column values as a tab-separated line. A newline is not included.

include_readonly: if false, returns only fields that can be inserted into database.

MergeModel

Extends Model

Model for Merge engine Predefines virtual _table column an controls that rows can't be inserted to this table type https://clickhouse.tech/docs/en/single/index.html#document-table_engines/merge

MergeModel(**kwargs)

MergeModel.create_table_sql(db)

Returns the SQL statement for creating a table for this model.

MergeModel.drop_table_sql(db)

Returns the SQL command for deleting this model's table.

MergeModel.fields(writable=False)

Returns an OrderedDict of the model's fields (from name to Field instance). If writable is true, only writable fields are included. Callers should not modify the dictionary.

MergeModel.from_tsv(line, field_names, timezone_in_use=UTC, database=None)

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.
database: if given, sets the database that this instance belongs to.

get_database()

Gets the Database that this model instance belongs to. Returns None unless the instance was read from the database or written to it.

get_field(name)

Gets a Field instance given its name, or None if not found.

MergeModel.has_funcs_as_defaults()

Return True if some of the model's fields use a function expression as a default value. This requires special handling when inserting instances.

MergeModel.is_read_only()

Returns true if the model is marked as read only.

MergeModel.is_system_model()

Returns true if the model represents a system table.

MergeModel.objects_in(database)

Returns a QuerySet for selecting instances of this model class.

set_database(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.

MergeModel.table_name()

Returns the model's database table name. By default this is the class name converted to lowercase. Override this if you want to use a different table name.

to_db_string()

Returns the instance as a bytestring ready to be inserted into the database.

to_dict(include_readonly=True, field_names=None)

Returns the instance's column values as a dict.

include_readonly: if false, returns only fields that can be inserted into database.
field_names: an iterable of field names to return (optional)

to_tskv(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.

to_tsv(include_readonly=True)

Returns the instance's column values as a tab-separated line. A newline is not included.

include_readonly: if false, returns only fields that can be inserted into database.

DistributedModel

Extends Model

Model class for use with a Distributed engine.

DistributedModel(**kwargs)

DistributedModel.create_table_sql(db)

Returns the SQL statement for creating a table for this model.

DistributedModel.drop_table_sql(db)

Returns the SQL command for deleting this model's table.

DistributedModel.fields(writable=False)

Returns an OrderedDict of the model's fields (from name to Field instance). If writable is true, only writable fields are included. Callers should not modify the dictionary.

DistributedModel.fix_engine_table()

Remember: Distributed table does not store any data, just provides distributed access to it.

So if we define a model with engine that has no defined table for data storage (see FooDistributed below), that table cannot be successfully created. This routine can automatically fix engine's storage table by finding the first non-distributed model among your model's superclasses.

class Foo(Model): ... id = UInt8Field(1) ... class FooDistributed(Foo, DistributedModel): ... engine = Distributed('my_cluster') ... FooDistributed.engine.table None FooDistributed.fix_engine() FooDistributed.engine.table <class 'main.Foo'>

However if you prefer more explicit way of doing things, you can always mention the Foo model twice without bothering with any fixes:

class FooDistributedVerbose(Foo, DistributedModel): ... engine = Distributed('my_cluster', Foo) FooDistributedVerbose.engine.table <class 'main.Foo'>

See tests.test_engines:DistributedTestCase for more examples

DistributedModel.from_tsv(line, field_names, timezone_in_use=UTC, database=None)

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.
database: if given, sets the database that this instance belongs to.

get_database()

Gets the Database that this model instance belongs to. Returns None unless the instance was read from the database or written to it.

get_field(name)

Gets a Field instance given its name, or None if not found.

DistributedModel.has_funcs_as_defaults()

Return True if some of the model's fields use a function expression as a default value. This requires special handling when inserting instances.

DistributedModel.is_read_only()

Returns true if the model is marked as read only.

DistributedModel.is_system_model()

Returns true if the model represents a system table.

DistributedModel.objects_in(database)

Returns a QuerySet for selecting instances of this model class.

set_database(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.

DistributedModel.table_name()

Returns the model's database table name. By default this is the class name converted to lowercase. Override this if you want to use a different table name.

to_db_string()

Returns the instance as a bytestring ready to be inserted into the database.

to_dict(include_readonly=True, field_names=None)

Returns the instance's column values as a dict.

include_readonly: if false, returns only fields that can be inserted into database.
field_names: an iterable of field names to return (optional)

to_tskv(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.

to_tsv(include_readonly=True)

Returns the instance's column values as a tab-separated line. A newline is not included.

include_readonly: if false, returns only fields that can be inserted into database.

Constraint

Defines a model constraint.

Constraint(expr)

Initializer. Requires an expression that ClickHouse will verify when inserting data.

create_table_sql()

Returns the SQL statement for defining this constraint on table creation.

str()

infi.clickhouse_orm.fields

ArrayField

Extends Field

ArrayField(inner_field, default=None, alias=None, materialized=None, readonly=None, codec=None)

BaseEnumField

Enum16Field

Extends BaseEnumField

Enum16Field(enum_cls, default=None, alias=None, materialized=None, readonly=None, codec=None)

Enum8Field

Extends BaseEnumField

Enum8Field(enum_cls, default=None, alias=None, materialized=None, readonly=None, codec=None)

UUIDField(default=None, alias=None, materialized=None, readonly=None, codec=None)

infi.clickhouse_orm.engines

Engine

TinyLog

Extends Engine

Log

Extends Engine

Memory

Extends Engine

MergeTree

The Distributed engine by itself does not store data, but allows distributed query processing on multiple servers. Reading is automatically parallelized. During a read, the table indexes on remote servers are used, if there are any.

See full documentation here https://clickhouse.tech/docs/en/engines/table-engines/special/distributed/

Distributed(cluster, table=None, sharding_key=None)

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)
sharding_key: how to distribute data among shards when inserting straightly into Distributed table, optional

CollapsingMergeTree

Extends MergeTree

CollapsingMergeTree(date_col=None, order_by=(), sign_col="sign", sampling_expr=None, index_granularity=8192, replica_table_path=None, replica_name=None, partition_key=None, primary_key=None)

SummingMergeTree

Extends MergeTree

SummingMergeTree(date_col=None, order_by=(), summing_cols=None, sampling_expr=None, index_granularity=8192, replica_table_path=None, replica_name=None, partition_key=None, primary_key=None)

ReplacingMergeTree

Extends MergeTree

ReplacingMergeTree(date_col=None, order_by=(), ver_col=None, sampling_expr=None, index_granularity=8192, replica_table_path=None, replica_name=None, partition_key=None, primary_key=None)

infi.clickhouse_orm.query

QuerySet

A queryset is an object that represents a database query using a specific Model. It is lazy, meaning that it does not hit the database until you iterate over its matching rows (model instances).

QuerySet(model_cls, database)

Initializer. It is possible to create a queryset like this, but the standard way is to use MyModel.objects_in(database).

aggregate(*args, **kwargs)

Returns an AggregateQuerySet over this query, with args serving as grouping fields and kwargs serving as calculated fields. At least one calculated field is required. For example:

    Event.objects_in(database).filter(date__gt='2017-08-01').aggregate('event_type', count='count()')

is equivalent to:

    SELECT event_type, count() AS count FROM event
    WHERE data > '2017-08-01'
    GROUP BY event_type

as_sql()

Returns the whole query as a SQL string.

conditions_as_sql(prewhere=False)

Returns the contents of the query's WHERE or PREWHERE clause as a string.

count()

Returns the number of matching model instances.

distinct()

Adds a DISTINCT clause to the query, meaning that any duplicate rows in the results will be omitted.

exclude(*q, **kwargs)

Returns a copy of this queryset that excludes all rows matching the conditions. Pass prewhere=True to apply the conditions as PREWHERE instead of WHERE.

filter(*q, **kwargs)

Returns a copy of this queryset that includes only rows matching the conditions. Pass prewhere=True to apply the conditions as PREWHERE instead of WHERE.

final()

Adds a FINAL modifier to table, meaning data will be collapsed to final version. Can be used with CollapsingMergeTree engine only.

limit_by(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.

only(*field_names)

Returns a copy of this queryset limited to the specified field names. Useful when there are large fields that are not needed, or for creating a subquery to use with an IN operator.

order_by(*field_names)

Returns a copy of this queryset with the ordering changed.

order_by_as_sql()

Returns the contents of the query's ORDER BY clause as a string.

paginate(page_num=1, page_size=100)

Returns a single page of model instances that match the queryset. Note that order_by should be used first, to ensure a correct partitioning of records into pages.

page_num: the page number (1-based), or -1 to get the last page.
page_size: number of records to return per page.

The result is a namedtuple containing objects (list), number_of_objects, pages_total, number (of the current page), and page_size.

select_fields_as_sql()

Returns the selected fields or expressions as a SQL string.

AggregateQuerySet

Extends QuerySet

A queryset used for aggregation.

AggregateQuerySet(base_qs, grouping_fields, calculated_fields)

Initializer. Normally you should not call this but rather use QuerySet.aggregate().

The grouping fields should be a list/tuple of field names from the model. For example:

    ('event_type', 'event_subtype')

The calculated fields should be a mapping from name to a ClickHouse aggregation function. For example:

    {'weekday': 'toDayOfWeek(event_date)', 'number_of_events': 'count()'}

At least one calculated field is required.

aggregate(*args, **kwargs)

This method is not supported on AggregateQuerySet.

as_sql()

Returns the whole query as a SQL string.

conditions_as_sql(prewhere=False)

Returns the contents of the query's WHERE or PREWHERE clause as a string.

count()

Returns the number of rows after aggregation.

distinct()

Adds a DISTINCT clause to the query, meaning that any duplicate rows in the results will be omitted.

exclude(*q, **kwargs)

Returns a copy of this queryset that excludes all rows matching the conditions. Pass prewhere=True to apply the conditions as PREWHERE instead of WHERE.

filter(*q, **kwargs)

Returns a copy of this queryset that includes only rows matching the conditions. Pass prewhere=True to apply the conditions as PREWHERE instead of WHERE.

final()

Adds a FINAL modifier to table, meaning data will be collapsed to final version. Can be used with CollapsingMergeTree engine only.

group_by(*args)

This method lets you specify the grouping fields explicitly. The args must be names of grouping fields or calculated fields that this queryset was created with.

limit_by(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.

only(*field_names)

This method is not supported on AggregateQuerySet.

order_by(*field_names)

Returns a copy of this queryset with the ordering changed.

order_by_as_sql()

Returns the contents of the query's ORDER BY clause as a string.

paginate(page_num=1, page_size=100)

Returns a single page of model instances that match the queryset. Note that order_by should be used first, to ensure a correct partitioning of records into pages.

page_num: the page number (1-based), or -1 to get the last page.
page_size: number of records to return per page.

The result is a namedtuple containing objects (list), number_of_objects, pages_total, number (of the current page), and page_size.

select_fields_as_sql()

Returns the selected fields or expressions as a SQL string.

with_totals()

Adds WITH TOTALS modifier ot GROUP BY, making query return extra row with aggregate function calculated across all the rows. More information: https://clickhouse.tech/docs/en/query_language/select/#with-totals-modifier

Q

Q(*filter_funcs, **filter_fields)

to_sql(model_cls)

infi.clickhouse_orm.funcs

F

Extends Cond, FunctionOperatorsMixin

Represents a database function call and its arguments. It doubles as a query condition when the function returns a boolean result.

CAST(type)

CRC32()

IPv4CIDRToRange(cidr)

IPv4NumToString()

IPv4NumToStringClassC()

IPv4StringToNum()

IPv4ToIPv6()

IPv6CIDRToRange(cidr)

IPv6NumToString()

IPv6StringToNum()

MD5()

SHA1()

SHA224()

SHA256()

URLHash(n=None)

UUIDNumToString()

UUIDStringToNum()

F(name, *args)

Initializer.

abs()

acos()

addDays(n, timezone=NO_VALUE)

addHours(n, timezone=NO_VALUE)

addMinutes(n, timezone=NO_VALUE)

addMonths(n, timezone=NO_VALUE)

addQuarters(n, timezone=NO_VALUE)

addSeconds(n, timezone=NO_VALUE)

addWeeks(n, timezone=NO_VALUE)

addYears(n, timezone=NO_VALUE)

alphaTokens()

any(**kwargs)

anyHeavy(**kwargs)

anyHeavyIf(cond)

anyHeavyOrDefault()

anyHeavyOrDefaultIf(cond)

anyHeavyOrNull()

anyHeavyOrNullIf(cond)

anyIf(cond)

anyLast(**kwargs)

anyLastIf(cond)

anyLastOrDefault()

anyLastOrDefaultIf(cond)

anyLastOrNull()

anyLastOrNullIf(cond)

anyOrDefault()

anyOrDefaultIf(cond)

anyOrNull()

anyOrNullIf(cond)

appendTrailingCharIfAbsent(c)

argMax(**kwargs)

argMaxIf(y, cond)

argMaxOrDefault(y)

argMaxOrDefaultIf(y, cond)

argMaxOrNull(y)

argMaxOrNullIf(y, cond)

argMin(**kwargs)

argMinIf(y, cond)

argMinOrDefault(y)

argMinOrDefaultIf(y, cond)

argMinOrNull(y)

argMinOrNullIf(y, cond)

array()

arrayConcat()

arrayDifference()

arrayDistinct()

arrayElement(n)

arrayEnumerate()

arrayEnumerateDense()

arrayEnumerateDenseRanked()

arrayEnumerateUniq()

arrayEnumerateUniqRanked()

arrayIntersect()

arrayJoin()

arrayPopBack()

arrayPopFront()

arrayPushBack(x)

arrayPushFront(x)

arrayReduce(*args)

arrayResize(size, extender=None)

arrayReverse()

arraySlice(offset, length=None)

arrayStringConcat(sep=None)

arrayUniq()

asin()

atan()

avg(**kwargs)

avgIf(cond)

avgOrDefault()

avgOrDefaultIf(cond)

avgOrNull()

avgOrNullIf(cond)

base64Decode()

base64Encode()

bitAnd(y)

bitNot()

bitOr(y)

bitRotateLeft(y)

bitRotateRight(y)

bitShiftLeft(y)

bitShiftRight(y)

bitTest(y)

bitTestAll(*args)

bitTestAny(*args)

bitXor(y)

bitmapAnd(y)

bitmapAndCardinality(y)

bitmapAndnot(y)

bitmapAndnotCardinality(y)

bitmapBuild()

bitmapCardinality()

bitmapContains(needle)

bitmapHasAll(y)

bitmapHasAny(y)

bitmapOr(y)

bitmapOrCardinality(y)

bitmapToArray()

bitmapXor(y)

bitmapXorCardinality(y)

bitmaskToArray()

bitmaskToList()

cbrt()

ceiling(n=None)

cityHash64()

coalesce()

concat()

convertCharset(from_charset, to_charset)

corr(**kwargs)

corrIf(y, cond)

corrOrDefault(y)

corrOrDefaultIf(y, cond)

corrOrNull(y)

corrOrNullIf(y, cond)

cos()

count(**kwargs)

countEqual(x)

countIf()

countOrDefault()

countOrDefaultIf()

countOrNull()

countOrNullIf()

covarPop(**kwargs)

covarPopIf(y, cond)

covarPopOrDefault(y)

covarPopOrDefaultIf(y, cond)

covarPopOrNull(y)

covarPopOrNullIf(y, cond)

covarSamp(**kwargs)

covarSampIf(y, cond)

covarSampOrDefault(y)

covarSampOrDefaultIf(y, cond)

covarSampOrNull(y)

covarSampOrNullIf(y, cond)

divide(**kwargs)

e()

empty()

emptyArrayDate()

emptyArrayDateTime()

emptyArrayFloat32()

emptyArrayFloat64()

emptyArrayInt16()

emptyArrayInt32()

emptyArrayInt64()

emptyArrayInt8()

emptyArrayString()

emptyArrayToSingle()

emptyArrayUInt16()

emptyArrayUInt32()

emptyArrayUInt64()

emptyArrayUInt8()

endsWith(suffix)

equals(**kwargs)

erf()

erfc()

exp()

exp10()

exp2()

extract(pattern)

extractAll(pattern)

farmHash64()

floor(n=None)

formatDateTime(format, timezone="")

gcd(b)

generateUUIDv4()

greater(**kwargs)

greaterOrEquals(**kwargs)

greatest(y)

halfMD5()

has(x)

hasAll(x)

hasAny(x)

hex()

hiveHash()

ifNotFinite(y)

ifNull(y)

indexOf(x)

intDiv(b)

intDivOrZero(b)

intExp10()

intExp2()

intHash32()

intHash64()

isFinite()

isIn(others)

isInfinite()

isNaN()

isNotIn(others)

isNotNull()

isNull()

javaHash()

jumpConsistentHash(buckets)

kurtPop(**kwargs)

kurtPopIf(cond)

kurtPopOrDefault()

kurtPopOrDefaultIf(cond)

kurtPopOrNull()

kurtPopOrNullIf(cond)

kurtSamp(**kwargs)

kurtSampIf(cond)

kurtSampOrDefault()

kurtSampOrDefaultIf(cond)

kurtSampOrNull()

kurtSampOrNullIf(cond)

lcm(b)

least(y)

length(**kwargs)

lengthUTF8()

less(**kwargs)

lessOrEquals(**kwargs)

lgamma()

like(pattern)

log()

log10()

log2()

lower(**kwargs)

lowerUTF8()

match(pattern)

max(**kwargs)

maxIf(cond)

maxOrDefault()

maxOrDefaultIf(cond)

maxOrNull()

maxOrNullIf(cond)

metroHash64()

min(**kwargs)

minIf(cond)

minOrDefault()

minOrDefaultIf(cond)

minOrNull()

minOrNullIf(cond)

minus(**kwargs)

modulo(**kwargs)

multiply(**kwargs)

murmurHash2_32()

murmurHash2_64()

murmurHash3_128()

murmurHash3_32()

murmurHash3_64()

negate()

ngramDistance(**kwargs)

ngramDistanceCaseInsensitive(**kwargs)

ngramDistanceCaseInsensitiveUTF8(needle)

ngramDistanceUTF8(needle)

ngramSearch(**kwargs)

ngramSearchCaseInsensitive(**kwargs)

ngramSearchCaseInsensitiveUTF8(needle)

ngramSearchUTF8(needle)

notEmpty()

notEquals(**kwargs)

notLike(pattern)

now()

nullIf(y)

parseDateTimeBestEffort(**kwargs)

parseDateTimeBestEffortOrNull(timezone=NO_VALUE)

parseDateTimeBestEffortOrZero(timezone=NO_VALUE)

pi()

plus(**kwargs)

position(**kwargs)

positionCaseInsensitive(**kwargs)

positionCaseInsensitiveUTF8(needle)

positionUTF8(needle)

power(y)

quantile(**kwargs)

quantileDeterministic(**kwargs)

quantileDeterministicIf()

quantileDeterministicOrDefault()

quantileDeterministicOrDefaultIf()

quantileDeterministicOrNull()

quantileDeterministicOrNullIf()

quantileExact(**kwargs)

quantileExactIf()

quantileExactOrDefault()

quantileExactOrDefaultIf()

quantileExactOrNull()

quantileExactOrNullIf()

quantileExactWeighted(**kwargs)

quantileExactWeightedIf()

quantileExactWeightedOrDefault()

quantileExactWeightedOrDefaultIf()

quantileExactWeightedOrNull()

quantileExactWeightedOrNullIf()

quantileIf()

quantileOrDefault()

quantileOrDefaultIf()

quantileOrNull()

quantileOrNullIf()

quantileTDigest(**kwargs)

quantileTDigestIf()

quantileTDigestOrDefault()

quantileTDigestOrDefaultIf()

quantileTDigestOrNull()

quantileTDigestOrNullIf()

quantileTDigestWeighted(**kwargs)

quantileTDigestWeightedIf()

quantileTDigestWeightedOrDefault()

quantileTDigestWeightedOrDefaultIf()

quantileTDigestWeightedOrNull()

quantileTDigestWeightedOrNullIf()

quantileTiming(**kwargs)

quantileTimingIf()

quantileTimingOrDefault()

quantileTimingOrDefaultIf()

quantileTimingOrNull()

quantileTimingOrNullIf()

quantileTimingWeighted(**kwargs)

quantileTimingWeightedIf()

quantileTimingWeightedOrDefault()

quantileTimingWeightedOrDefaultIf()

quantileTimingWeightedOrNull()

quantileTimingWeightedOrNullIf()

quantiles(**kwargs)

quantilesDeterministic(**kwargs)

quantilesDeterministicIf()

quantilesDeterministicOrDefault()

quantilesDeterministicOrDefaultIf()

quantilesDeterministicOrNull()

quantilesDeterministicOrNullIf()

quantilesExact(**kwargs)

quantilesExactIf()

quantilesExactOrDefault()

quantilesExactOrDefaultIf()

quantilesExactOrNull()

quantilesExactOrNullIf()

quantilesExactWeighted(**kwargs)

quantilesExactWeightedIf()

quantilesExactWeightedOrDefault()

quantilesExactWeightedOrDefaultIf()

quantilesExactWeightedOrNull()

quantilesExactWeightedOrNullIf()

quantilesIf()

quantilesOrDefault()

quantilesOrDefaultIf()

quantilesOrNull()

quantilesOrNullIf()

quantilesTDigest(**kwargs)

quantilesTDigestIf()

quantilesTDigestOrDefault()

quantilesTDigestOrDefaultIf()

quantilesTDigestOrNull()

quantilesTDigestOrNullIf()

quantilesTDigestWeighted(**kwargs)

quantilesTDigestWeightedIf()

quantilesTDigestWeightedOrDefault()

quantilesTDigestWeightedOrDefaultIf()

quantilesTDigestWeightedOrNull()

quantilesTDigestWeightedOrNullIf()

quantilesTiming(**kwargs)

quantilesTimingIf()

quantilesTimingOrDefault()

quantilesTimingOrDefaultIf()

quantilesTimingOrNull()

quantilesTimingOrNullIf()

quantilesTimingWeighted(**kwargs)

quantilesTimingWeightedIf()

quantilesTimingWeightedOrDefault()

quantilesTimingWeightedOrDefaultIf()

quantilesTimingWeightedOrNull()

quantilesTimingWeightedOrNullIf()

rand()

rand64()

randConstant()

range()

regexpQuoteMeta()

replace(pattern, replacement)

replaceAll(pattern, replacement)

replaceOne(pattern, replacement)

replaceRegexpAll(pattern, replacement)

replaceRegexpOne(pattern, replacement)

reverse(**kwargs)

reverseUTF8()

round(n=None)

roundAge()

roundDown(y)

roundDuration()

roundToExp2()

sin()

sipHash128()

sipHash64()

skewPop(**kwargs)

skewPopIf(cond)

skewPopOrDefault()

skewPopOrDefaultIf(cond)

skewPopOrNull()

skewPopOrNullIf(cond)

skewSamp(**kwargs)

skewSampIf(cond)

skewSampOrDefault()

skewSampOrDefaultIf(cond)

skewSampOrNull()

skewSampOrNullIf(cond)

splitByChar(s)

splitByString(s)

sqrt()

startsWith(prefix)

substring(**kwargs)

substringUTF8(offset, length)

subtractDays(n, timezone=NO_VALUE)

subtractHours(n, timezone=NO_VALUE)

subtractMinutes(n, timezone=NO_VALUE)

subtractMonths(n, timezone=NO_VALUE)

subtractQuarters(n, timezone=NO_VALUE)

subtractSeconds(n, timezone=NO_VALUE)

subtractWeeks(n, timezone=NO_VALUE)

subtractYears(n, timezone=NO_VALUE)

sum(**kwargs)

sumIf(cond)

sumOrDefault()

sumOrDefaultIf(cond)

sumOrNull()

sumOrNullIf(cond)

tan()

tgamma()

timeSlot()

timeSlots(duration)

toDate(**kwargs)

toDateOrNull()

toDateOrZero()

toDateTime(**kwargs)

toDateTimeOrNull()

toDateTimeOrZero()

toDayOfMonth()

toDayOfWeek()

toDayOfYear()

toDecimal128(**kwargs)

toDecimal128OrNull(scale)

toDecimal128OrZero(scale)

toDecimal32(**kwargs)

toDecimal32OrNull(scale)

toDecimal32OrZero(scale)

toDecimal64(**kwargs)

toDecimal64OrNull(scale)

toDecimal64OrZero(scale)

toFixedString(length)

toFloat32(**kwargs)

toFloat32OrNull()

toFloat32OrZero()

toFloat64(**kwargs)

toFloat64OrNull()

toFloat64OrZero()

toHour()

toIPv4()

toIPv6()

toISOWeek(timezone="")

toISOYear(timezone="")

toInt16(**kwargs)

toInt16OrNull()

toInt16OrZero()

toInt32(**kwargs)

toInt32OrNull()

toInt32OrZero()

toInt64(**kwargs)

toInt64OrNull()

toInt64OrZero()

toInt8(**kwargs)

toInt8OrNull()

toInt8OrZero()

toIntervalDay()

toIntervalHour()

toIntervalMinute()

toIntervalMonth()

toIntervalQuarter()

toIntervalSecond()

toIntervalWeek()

toIntervalYear()

toMinute()

toMonday()

toMonth()

toQuarter(timezone="")

toRelativeDayNum(timezone="")

toRelativeHourNum(timezone="")

toRelativeMinuteNum(timezone="")

toRelativeMonthNum(timezone="")

toRelativeSecondNum(timezone="")

toRelativeWeekNum(timezone="")

toRelativeYearNum(timezone="")

toSecond()

toStartOfDay()

toStartOfFifteenMinutes()

toStartOfFiveMinute()

toStartOfHour()

toStartOfISOYear()

toStartOfMinute()

toStartOfMonth()

toStartOfQuarter()

toStartOfTenMinutes()

toStartOfWeek(mode=0)

toStartOfYear()

toString()

toStringCutToZero()

toTime(timezone="")

toTimeZone(timezone)

toUInt16(**kwargs)

toUInt16OrNull()

toUInt16OrZero()

toUInt32(**kwargs)

toUInt32OrNull()

toUInt32OrZero()

toUInt64(**kwargs)

toUInt64OrNull()

toUInt64OrZero()

toUInt8(**kwargs)

toUInt8OrNull()

toUInt8OrZero()

toUUID()

toUnixTimestamp(timezone="")

toWeek(mode=0, timezone="")

toYYYYMM(timezone="")

toYYYYMMDD(timezone="")

toYYYYMMDDhhmmss(timezone="")

toYear()

to_sql(*args)

Generates an SQL string for this function and its arguments. For example if the function name is a symbol of a binary operator: (2.54 * height) For other functions: gcd(12, 300)

46 KiB Raw Blame History

Class Reference

infi.clickhouse_orm.database

Database

Database(db_name, db_url="http://localhost:8123/", username=None, password=None, readonly=False, autocreate=True, timeout=60, verify_ssl_cert=True, log_statements=False)

add_setting(name, value)

count(model_class, conditions=None)

create_database()

create_table(model_class)

does_table_exist(model_class)

drop_database()

drop_table(model_class)

get_model_for_table(table_name, system_table=False)

insert(model_instances, batch_size=1000)

migrate(migrations_package_name, up_to=9999)

paginate(model_class, order_by, page_num=1, page_size=100, conditions=None, settings=None)

raw(query, settings=None, stream=False)

select(query, model_class=None, settings=None)

DatabaseException

infi.clickhouse_orm.models

Model

Model(**kwargs)

Model.create_table_sql(db)

Model.drop_table_sql(db)

Model.fields(writable=False)

Model.from_tsv(line, field_names, timezone_in_use=UTC, database=None)

get_database()

get_field(name)

Model.has_funcs_as_defaults()

Model.is_read_only()

Model.is_system_model()

Model.objects_in(database)

set_database(db)

Model.table_name()

to_db_string()

to_dict(include_readonly=True, field_names=None)

to_tskv(include_readonly=True)

to_tsv(include_readonly=True)

BufferModel

BufferModel(**kwargs)

BufferModel.create_table_sql(db)

BufferModel.drop_table_sql(db)

BufferModel.fields(writable=False)

BufferModel.from_tsv(line, field_names, timezone_in_use=UTC, database=None)

get_database()

get_field(name)

BufferModel.has_funcs_as_defaults()

BufferModel.is_read_only()

BufferModel.is_system_model()

BufferModel.objects_in(database)

set_database(db)

BufferModel.table_name()

to_db_string()

to_dict(include_readonly=True, field_names=None)

to_tskv(include_readonly=True)

to_tsv(include_readonly=True)

MergeModel

MergeModel(**kwargs)

MergeModel.create_table_sql(db)

MergeModel.drop_table_sql(db)

MergeModel.fields(writable=False)

MergeModel.from_tsv(line, field_names, timezone_in_use=UTC, database=None)

get_database()

get_field(name)

MergeModel.has_funcs_as_defaults()

MergeModel.is_read_only()

MergeModel.is_system_model()

MergeModel.objects_in(database)

set_database(db)

MergeModel.table_name()

to_db_string()

to_dict(include_readonly=True, field_names=None)

to_tskv(include_readonly=True)

to_tsv(include_readonly=True)

DistributedModel

DistributedModel(**kwargs)

DistributedModel.create_table_sql(db)

DistributedModel.drop_table_sql(db)

DistributedModel.fields(writable=False)

DistributedModel.fix_engine_table()

46 KiB

Raw Blame History