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feat: add support for user defined Table View Functions (googleapis#724)
* Add auxiliary classes for TVF routines * Add return_table_type property to Routine * Add system test for TVF routines * Use the generated StandardSqlTableType class * Update docs with new changes * Add missing space in misc. Sphinx directives
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8 files changed

Lines changed: 270 additions & 14 deletions

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‎docs/reference.rst‎

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@@ -118,6 +118,7 @@ Routine
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routine.Routine
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routine.RoutineArgument
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routine.RoutineReference
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routine.RoutineType
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Schema
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======

‎google/cloud/bigquery/__init__.py‎

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@@ -85,6 +85,7 @@
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from google.cloud.bigquery.routine import Routine
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from google.cloud.bigquery.routine import RoutineArgument
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from google.cloud.bigquery.routine import RoutineReference
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from google.cloud.bigquery.routine import RoutineType
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from google.cloud.bigquery.schema import SchemaField
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from google.cloud.bigquery.table import PartitionRange
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from google.cloud.bigquery.table import RangePartitioning
@@ -162,6 +163,7 @@
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"KeyResultStatementKind",
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"OperationType",
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"QueryPriority",
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"RoutineType",
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"SchemaUpdateOption",
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"SourceFormat",
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"SqlTypeNames",

‎google/cloud/bigquery/job/query.py‎

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@@ -1386,12 +1386,12 @@ def to_arrow(
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This argument does nothing if ``bqstorage_client`` is supplied.
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..versionadded:: 1.24.0
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.. versionadded:: 1.24.0
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max_results (Optional[int]):
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Maximum number of rows to include in the result. No limit by default.
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..versionadded:: 2.21.0
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.. versionadded:: 2.21.0
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Returns:
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pyarrow.Table
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ValueError:
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If the :mod:`pyarrow` library cannot be imported.
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..versionadded:: 1.17.0
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.. versionadded:: 1.17.0
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"""
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query_result = wait_for_query(self, progress_bar_type, max_results=max_results)
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return query_result.to_arrow(
@@ -1452,7 +1452,7 @@ def to_dataframe(
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:func:`~google.cloud.bigquery.table.RowIterator.to_dataframe`
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for details.
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..versionadded:: 1.11.0
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.. versionadded:: 1.11.0
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create_bqstorage_client (Optional[bool]):
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If ``True`` (default), create a BigQuery Storage API client
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using the default API settings. The BigQuery Storage API
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This argument does nothing if ``bqstorage_client`` is supplied.
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..versionadded:: 1.24.0
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.. versionadded:: 1.24.0
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date_as_object (Optional[bool]):
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If ``True`` (default), cast dates to objects. If ``False``, convert
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to datetime64[ns] dtype.
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..versionadded:: 1.26.0
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.. versionadded:: 1.26.0
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max_results (Optional[int]):
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Maximum number of rows to include in the result. No limit by default.
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..versionadded:: 2.21.0
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.. versionadded:: 2.21.0
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Returns:
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A :class:`~pandas.DataFrame` populated with row data and column

‎google/cloud/bigquery/routine/__init__.py‎

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@@ -19,11 +19,13 @@
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from google.cloud.bigquery.routine.routine import Routine
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from google.cloud.bigquery.routine.routine import RoutineArgument
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from google.cloud.bigquery.routine.routine import RoutineReference
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from google.cloud.bigquery.routine.routine import RoutineType
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__all__ = (
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"DeterminismLevel",
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"Routine",
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"RoutineArgument",
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"RoutineReference",
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"RoutineType",
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)

‎google/cloud/bigquery/routine/routine.py‎

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@@ -21,6 +21,21 @@
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import google.cloud._helpers
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from google.cloud.bigquery import _helpers
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import google.cloud.bigquery_v2.types
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from google.cloud.bigquery_v2.types import StandardSqlTableType
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class RoutineType:
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"""The fine-grained type of the routine.
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https://cloud.google.com/bigquery/docs/reference/rest/v2/routines#routinetype
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.. versionadded:: 2.22.0
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"""
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ROUTINE_TYPE_UNSPECIFIED = "ROUTINE_TYPE_UNSPECIFIED"
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SCALAR_FUNCTION = "SCALAR_FUNCTION"
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PROCEDURE = "PROCEDURE"
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TABLE_VALUED_FUNCTION = "TABLE_VALUED_FUNCTION"
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class Routine(object):
@@ -48,6 +63,7 @@ class Routine(object):
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"modified": "lastModifiedTime",
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"reference": "routineReference",
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"return_type": "returnType",
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"return_table_type": "returnTableType",
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"type_": "routineType",
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"description": "description",
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"determinism_level": "determinismLevel",
@@ -204,6 +220,35 @@ def return_type(self, value):
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resource = None
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self._properties[self._PROPERTY_TO_API_FIELD["return_type"]] = resource
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@property
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def return_table_type(self) -> StandardSqlTableType:
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"""The return type of a Table Valued Function (TVF) routine.
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.. versionadded:: 2.22.0
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"""
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resource = self._properties.get(
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self._PROPERTY_TO_API_FIELD["return_table_type"]
231+
)
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if not resource:
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return resource
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output = google.cloud.bigquery_v2.types.StandardSqlTableType()
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raw_protobuf = json_format.ParseDict(
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resource, output._pb, ignore_unknown_fields=True
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)
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return type(output).wrap(raw_protobuf)
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@return_table_type.setter
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def return_table_type(self, value):
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if not value:
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resource = None
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else:
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resource = {
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"columns": [json_format.MessageToDict(col._pb) for col in value.columns]
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}
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self._properties[self._PROPERTY_TO_API_FIELD["return_table_type"]] = resource
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@property
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def imported_libraries(self):
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"""List[str]: The path of the imported JavaScript libraries.

‎google/cloud/bigquery/table.py‎

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@@ -1684,7 +1684,7 @@ def to_arrow(
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This argument does nothing if ``bqstorage_client`` is supplied.
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..versionadded:: 1.24.0
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.. versionadded:: 1.24.0
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Returns:
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pyarrow.Table
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Raises:
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ValueError: If the :mod:`pyarrow` library cannot be imported.
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..versionadded:: 1.17.0
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.. versionadded:: 1.17.0
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"""
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if pyarrow is None:
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raise ValueError(_NO_PYARROW_ERROR)
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created by the server. If ``max_queue_size`` is :data:`None`, the queue
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size is infinite.
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..versionadded:: 2.14.0
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.. versionadded:: 2.14.0
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Returns:
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pandas.DataFrame:
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Use the :func:`tqdm.tqdm_gui` function to display a
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progress bar as a graphical dialog box.
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..versionadded:: 1.11.0
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.. versionadded:: 1.11.0
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create_bqstorage_client (Optional[bool]):
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If ``True`` (default), create a BigQuery Storage API client
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using the default API settings. The BigQuery Storage API
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This argument does nothing if ``bqstorage_client`` is supplied.
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..versionadded:: 1.24.0
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.. versionadded:: 1.24.0
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date_as_object (Optional[bool]):
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If ``True`` (default), cast dates to objects. If ``False``, convert
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to datetime64[ns] dtype.
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..versionadded:: 1.26.0
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.. versionadded:: 1.26.0
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Returns:
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pandas.DataFrame:
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) -> Iterator["pandas.DataFrame"]:
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"""Create an iterable of pandas DataFrames, to process the table as a stream.
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..versionadded:: 2.21.0
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.. versionadded:: 2.21.0
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Args:
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bqstorage_client:

‎tests/system/test_client.py‎

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@@ -2228,6 +2228,85 @@ def test_create_routine(self):
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assert len(rows) == 1
22292229
assert rows[0].max_value == 100.0
22302230

2231+
def test_create_tvf_routine(self):
2232+
from google.cloud.bigquery import Routine, RoutineArgument, RoutineType
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2234+
StandardSqlDataType = bigquery_v2.types.StandardSqlDataType
2235+
StandardSqlField = bigquery_v2.types.StandardSqlField
2236+
StandardSqlTableType = bigquery_v2.types.StandardSqlTableType
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2238+
INT64 = StandardSqlDataType.TypeKind.INT64
2239+
STRING = StandardSqlDataType.TypeKind.STRING
2240+
2241+
client = Config.CLIENT
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2243+
dataset = self.temp_dataset(_make_dataset_id("create_tvf_routine"))
2244+
routine_ref = dataset.routine("test_tvf_routine")
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2246+
routine_body = """
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SELECT int_col, str_col
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FROM (
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UNNEST([1, 2, 3]) int_col
2250+
JOIN
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(SELECT str_col FROM UNNEST(["one", "two", "three"]) str_col)
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ON TRUE
2253+
)
2254+
WHERE int_col > threshold
2255+
"""
2256+
2257+
return_table_type = StandardSqlTableType(
2258+
columns=[
2259+
StandardSqlField(
2260+
name="int_col", type=StandardSqlDataType(type_kind=INT64),
2261+
),
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StandardSqlField(
2263+
name="str_col", type=StandardSqlDataType(type_kind=STRING),
2264+
),
2265+
]
2266+
)
2267+
2268+
routine_args = [
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RoutineArgument(
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name="threshold", data_type=StandardSqlDataType(type_kind=INT64),
2271+
)
2272+
]
2273+
2274+
routine_def = Routine(
2275+
routine_ref,
2276+
type_=RoutineType.TABLE_VALUED_FUNCTION,
2277+
arguments=routine_args,
2278+
return_table_type=return_table_type,
2279+
body=routine_body,
2280+
)
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2282+
# Create TVF routine.
2283+
client.delete_routine(routine_ref, not_found_ok=True)
2284+
routine = client.create_routine(routine_def)
2285+
2286+
assert routine.body == routine_body
2287+
assert routine.return_table_type == return_table_type
2288+
assert routine.arguments == routine_args
2289+
2290+
# Execute the routine to see if it's working as expected.
2291+
query_job = client.query(
2292+
f"""
2293+
SELECT int_col, str_col
2294+
FROM `{routine.reference}`(1)
2295+
ORDER BY int_col, str_col ASC
2296+
"""
2297+
)
2298+
2299+
result_rows = [tuple(row) for row in query_job.result()]
2300+
expected = [
2301+
(2, "one"),
2302+
(2, "three"),
2303+
(2, "two"),
2304+
(3, "one"),
2305+
(3, "three"),
2306+
(3, "two"),
2307+
]
2308+
assert result_rows == expected
2309+
22312310
def test_create_table_rows_fetch_nested_schema(self):
22322311
table_name = "test_table"
22332312
dataset = self.temp_dataset(_make_dataset_id("create_table_nested_schema"))

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