feat: add cube support #86
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| return spark_session_for_setup.table("userage") | ||
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| class TestDataFrameDataScienceFunctions: |
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Sorry I had this wrong the actual DS abbreviation means Decision Support.
| symbol.generated_fields.append(self.determine_name_for_grouping(grouping)) | ||
| self._top_level_projects.append(field_reference(idx)) | ||
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| if rel.group_type == spark_relations_pb2.Aggregate.GroupType.GROUP_TYPE_GROUPBY: |
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Consider using match here.
| @@ -1312,6 +1296,62 @@ def convert_aggregate_relation(self, rel: spark_relations_pb2.Aggregate) -> alge | |||
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| return algebra_pb2.Rel(aggregate=aggregate) | |||
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| def handle_group_by_aggregations(self, rel: spark_relations_pb2.Aggregate, | |||
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This is more like "handle groupings and measures" -- this particular function will handle both groupby and cube.
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changed to handle_grouping_and_measures
EpsilonPrime
approved these changes
Sep 18, 2024
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