Exemplo n.º 1
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 def apply(self, bq_resource: BQTable) -> BQTable:
     new_resource = deepcopy(bq_resource)
     new_resource.range_partitioning = RangePartitioning(
         field=self.field,
         range_=PartitionRange(start=self.start,
                               end=self.end,
                               interval=self.interval)
     )
     return new_resource
Exemplo n.º 2
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    def test_range_partitioning_setter(self):
        from google.cloud.bigquery.table import PartitionRange
        from google.cloud.bigquery.table import RangePartitioning

        object_under_test = self._get_target_class()()
        object_under_test.range_partitioning = RangePartitioning(
            field="column_one",
            range_=PartitionRange(start=1, end=1000, interval=10))
        object_under_test.range_partitioning.field == "column_one"
        object_under_test.range_partitioning.range_.start == 1
        object_under_test.range_partitioning.range_.end == 1000
        object_under_test.range_partitioning.range_.interval == 10
Exemplo n.º 3
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def test_change_partition_by_range(bqtk: BQTestKit):
    with bqtk.project("it").dataset("dataset_foo").isolate() as ds:
        table_bar_schema = [SchemaField("my_int", "int64")]
        with ds.table("table_bar"). \
             with_schema(from_=table_bar_schema). \
             partition_by(Range(on_field="my_int",
                                start=0,
                                end=10000,
                                interval=10)). \
             isolate() as t:
            show_res = t.show()
            assert show_res is not None
            assert show_res.time_partitioning is None
            expected_range = RangePartitioning(field='my_int', range_=PartitionRange(end=10000, interval=10, start=0))
            assert show_res.range_partitioning == expected_range
Exemplo n.º 4
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    def range_partitioning(self):
        """Optional[google.cloud.bigquery.table.RangePartitioning]:
        Configures range-based partitioning for destination table.

        .. note::
            **Beta**. The integer range partitioning feature is in a
            pre-release state and might change or have limited support.

        Only specify at most one of
        :attr:`~google.cloud.bigquery.job.LoadJobConfig.time_partitioning` or
        :attr:`~google.cloud.bigquery.job.LoadJobConfig.range_partitioning`.

        Raises:
            ValueError:
                If the value is not
                :class:`~google.cloud.bigquery.table.RangePartitioning` or
                :data:`None`.
        """
        resource = self._get_sub_prop("rangePartitioning")
        if resource is not None:
            return RangePartitioning(_properties=resource)