Class TimePartitioning (2.27.1)

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TimePartitioning(
    type_=None, field=None, expiration_ms=None, require_partition_filter=None
)

Configures time-based partitioning for a table.

Parameters

NameDescription
type_ Optional[google.cloud.bigquery.table.TimePartitioningType]

Specifies the type of time partitioning to perform. Defaults to DAY. Supported values are: * HOUR * DAY * MONTH * YEAR

field Optional[str]

If set, the table is partitioned by this field. If not set, the table is partitioned by pseudo column _PARTITIONTIME. The field must be a top-level TIMESTAMP, DATETIME, or DATE field. Its mode must be NULLABLE or REQUIRED. See the time-unit column-partitioned tables guide <https://cloud.google.com/bigquery/docs/creating-column-partitions>_ in the BigQuery documentation.

expiration_ms Optional[int]

Number of milliseconds for which to keep the storage for a partition.

require_partition_filter Optional[bool]

DEPRECATED: Use require_partition_filter, instead.

Inheritance

builtins.object > TimePartitioning

Properties

expiration_ms

int: Number of milliseconds to keep the storage for a partition.

field

str: Field in the table to use for partitioning

require_partition_filter

bool: Specifies whether partition filters are required for queries

DEPRECATED: Use require_partition_filter, instead.

type_

google.cloud.bigquery.table.TimePartitioningType: The type of time partitioning to use.

Methods

from_api_repr

from_api_repr(api_repr: dict)

Return a TimePartitioning object deserialized from a dict.

This method creates a new TimePartitioning instance that points to the api_repr parameter as its internal properties dict. This means that when a TimePartitioning instance is stored as a property of another object, any changes made at the higher level will also appear here::

>>> time_partitioning = TimePartitioning()
>>> table.time_partitioning = time_partitioning
>>> table.time_partitioning.field = 'timecolumn'
>>> time_partitioning.field
'timecolumn'
Parameter
NameDescription
api_repr Mapping[str, str]

The serialized representation of the TimePartitioning, such as what is output by to_api_repr.

Returns
TypeDescription
google.cloud.bigquery.table.TimePartitioningThe ``TimePartitioning`` object.

to_api_repr

to_api_repr()

Return a dictionary representing this object.

This method returns the properties dict of the TimePartitioning instance rather than making a copy. This means that when a TimePartitioning instance is stored as a property of another object, any changes made at the higher level will also appear here.

Returns
TypeDescription
dictA dictionary representing the TimePartitioning object in serialized form.

__init__

__init__(type_=None, field=None, expiration_ms=None, require_partition_filter=None)

Initialize self. See help(type(self)) for accurate signature.

TimePartitioning

TimePartitioning(
    type_=None, field=None, expiration_ms=None, require_partition_filter=None
)

Configures time-based partitioning for a table.

Parameters
NameDescription
type_ Optional[google.cloud.bigquery.table.TimePartitioningType]

Specifies the type of time partitioning to perform. Defaults to DAY. Supported values are: * HOUR * DAY * MONTH * YEAR

field Optional[str]

If set, the table is partitioned by this field. If not set, the table is partitioned by pseudo column _PARTITIONTIME. The field must be a top-level TIMESTAMP, DATETIME, or DATE field. Its mode must be NULLABLE or REQUIRED. See the time-unit column-partitioned tables guide <https://cloud.google.com/bigquery/docs/creating-column-partitions>_ in the BigQuery documentation.

expiration_ms Optional[int]

Number of milliseconds for which to keep the storage for a partition.

require_partition_filter Optional[bool]

DEPRECATED: Use require_partition_filter, instead.