- 3.25.0 (latest)
- 3.24.0
- 3.23.1
- 3.22.0
- 3.21.0
- 3.20.1
- 3.19.0
- 3.18.0
- 3.17.2
- 3.16.0
- 3.15.0
- 3.14.1
- 3.13.0
- 3.12.0
- 3.11.4
- 3.4.0
- 3.3.6
- 3.2.0
- 3.1.0
- 3.0.1
- 2.34.4
- 2.33.0
- 2.32.0
- 2.31.0
- 2.30.1
- 2.29.0
- 2.28.1
- 2.27.1
- 2.26.0
- 2.25.2
- 2.24.1
- 2.23.3
- 2.22.1
- 2.21.0
- 2.20.0
- 2.19.0
- 2.18.0
- 2.17.0
- 2.16.1
- 2.15.0
- 2.14.0
- 2.13.1
- 2.12.0
- 2.11.0
- 2.10.0
- 2.9.0
- 2.8.0
- 2.7.0
- 2.6.2
- 2.5.0
- 2.4.0
- 2.3.1
- 2.2.0
- 2.1.0
- 2.0.0
- 1.28.2
- 1.27.2
- 1.26.1
- 1.25.0
- 1.24.0
- 1.23.1
- 1.22.0
- 1.21.0
- 1.20.0
- 1.19.0
- 1.18.0
- 1.17.0
- 1.16.0
StandardSqlDataType(
type_kind: typing.Optional[
google.cloud.bigquery.enums.StandardSqlTypeNames
] = StandardSqlTypeNames.TYPE_KIND_UNSPECIFIED,
array_element_type: typing.Optional[
google.cloud.bigquery.standard_sql.StandardSqlDataType
] = None,
struct_type: typing.Optional[
google.cloud.bigquery.standard_sql.StandardSqlStructType
] = None,
)
The type of a variable, e.g., a function argument.
See: https://cloud.google.com/bigquery/docs/reference/rest/v2/StandardSqlDataType
Examples:
INT64: {type_kind="INT64"}
ARRAY: {type_kind="ARRAY", array_element_type="STRING"}
STRUCT<x STRING, y ARRAY>: {
type_kind="STRUCT",
struct_type={
fields=[
{name="x", type={type_kind="STRING"}},
{
name="y",
type={type_kind="ARRAY", array_element_type="DATE"}
}
]
}
}
Parameters | |
---|---|
Name | Description |
type_kind |
typing.Optional[google.cloud.bigquery.enums.StandardSqlTypeNames]
The top level type of this field. Can be any standard SQL data type, e.g. INT64, DATE, ARRAY. |
array_element_type |
typing.Optional[StandardSqlDataType]
The type of the array's elements, if type_kind is ARRAY. |
struct_type |
typing.Optional[StandardSqlStructType]
The fields of this struct, in order, if type_kind is STRUCT. |
Properties
array_element_type
The type of the array's elements, if type_kind is ARRAY.
struct_type
The fields of this struct, in order, if type_kind is STRUCT.
type_kind
The top level type of this field.
Can be any standard SQL data type, e.g. INT64, DATE, ARRAY.
Methods
from_api_repr
from_api_repr(resource: typing.Dict[str, typing.Any])
Construct an SQL data type instance given its API representation.
to_api_repr
to_api_repr() -> typing.Dict[str, typing.Any]
Construct the API resource representation of this SQL data type.