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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,
range_element_type: typing.Optional[
google.cloud.bigquery.standard_sql.StandardSqlDataType
] = 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"}
}
]
}
}
RANGE: {type_kind="RANGE", range_element_type="DATETIME"}
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. |
range_element_type |
typing.Optional[StandardSqlDataType]
The type of the range's elements, if type_kind is RANGE. |
Properties
array_element_type
The type of the array's elements, if type_kind is ARRAY.
range_element_type
The type of the range's elements, if type_kind = "RANGE". Must be one of DATETIME, DATE, or TIMESTAMP.
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.