Python CellsRowLimitFilter Beispiele

Beispiel #1

Datei: test_row_filters.py Projekt: 2019hripp/CompSciIA

    def test_to_pb_nested(self):
        from gcloud.bigtable.row_filters import CellsRowLimitFilter
        from gcloud.bigtable.row_filters import RowSampleFilter
        from gcloud.bigtable.row_filters import StripValueTransformerFilter

        row_filter1 = StripValueTransformerFilter(True)
        row_filter2 = RowSampleFilter(0.25)

        row_filter3 = self._makeOne(filters=[row_filter1, row_filter2])
        row_filter3_pb = row_filter3.to_pb()

        row_filter4 = CellsRowLimitFilter(11)
        row_filter4_pb = row_filter4.to_pb()

        row_filter5 = self._makeOne(filters=[row_filter3, row_filter4])
        filter_pb = row_filter5.to_pb()

        expected_pb = _RowFilterPB(interleave=_RowFilterInterleavePB(
            filters=[row_filter3_pb, row_filter4_pb], ), )
        self.assertEqual(filter_pb, expected_pb)

Beispiel #2

    def test_to_pb_nested(self):
        from gcloud.bigtable._generated import bigtable_data_pb2 as data_pb2
        from gcloud.bigtable.row_filters import CellsRowLimitFilter
        from gcloud.bigtable.row_filters import RowSampleFilter
        from gcloud.bigtable.row_filters import StripValueTransformerFilter

        row_filter1 = StripValueTransformerFilter(True)
        row_filter2 = RowSampleFilter(0.25)

        row_filter3 = self._makeOne(filters=[row_filter1, row_filter2])
        row_filter3_pb = row_filter3.to_pb()

        row_filter4 = CellsRowLimitFilter(11)
        row_filter4_pb = row_filter4.to_pb()

        row_filter5 = self._makeOne(filters=[row_filter3, row_filter4])
        filter_pb = row_filter5.to_pb()

        expected_pb = data_pb2.RowFilter(chain=data_pb2.RowFilter.Chain(
            filters=[row_filter3_pb, row_filter4_pb], ), )
        self.assertEqual(filter_pb, expected_pb)

Beispiel #3

Datei: test_row_filters.py Projekt: Elad-Tsruya/DoItTestEladTsruya

    def test_to_pb_nested(self):
        from gcloud.bigtable.row_filters import CellsRowLimitFilter
        from gcloud.bigtable.row_filters import RowSampleFilter
        from gcloud.bigtable.row_filters import StripValueTransformerFilter

        row_filter1 = StripValueTransformerFilter(True)
        row_filter2 = RowSampleFilter(0.25)

        row_filter3 = self._makeOne(filters=[row_filter1, row_filter2])
        row_filter3_pb = row_filter3.to_pb()

        row_filter4 = CellsRowLimitFilter(11)
        row_filter4_pb = row_filter4.to_pb()

        row_filter5 = self._makeOne(filters=[row_filter3, row_filter4])
        filter_pb = row_filter5.to_pb()

        expected_pb = _RowFilterPB(
            interleave=_RowFilterInterleavePB(
                filters=[row_filter3_pb, row_filter4_pb],
            ),
        )
        self.assertEqual(filter_pb, expected_pb)

Beispiel #4

Datei: test_row_filters.py Projekt: 117NO/gcloud-python

    def test_to_pb_nested(self):
        from gcloud.bigtable._generated import bigtable_data_pb2 as data_pb2
        from gcloud.bigtable.row_filters import CellsRowLimitFilter
        from gcloud.bigtable.row_filters import RowSampleFilter
        from gcloud.bigtable.row_filters import StripValueTransformerFilter

        row_filter1 = StripValueTransformerFilter(True)
        row_filter2 = RowSampleFilter(0.25)

        row_filter3 = self._makeOne(filters=[row_filter1, row_filter2])
        row_filter3_pb = row_filter3.to_pb()

        row_filter4 = CellsRowLimitFilter(11)
        row_filter4_pb = row_filter4.to_pb()

        row_filter5 = self._makeOne(filters=[row_filter3, row_filter4])
        filter_pb = row_filter5.to_pb()

        expected_pb = data_pb2.RowFilter(
            chain=data_pb2.RowFilter.Chain(
                filters=[row_filter3_pb, row_filter4_pb],
            ),
        )
        self.assertEqual(filter_pb, expected_pb)