feat: Support Spark explode outer #11954
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@pedroerp @rui-mo @jinchengchenghh @PHILO-HE Can you please help review this? |
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Dec 27, 2024
| @@ -106,6 +107,9 @@ class Unnest : public Operator { | |||
| const RowRange& rowRange, | |||
| std::vector<VectorPtr>& outputs); | |||
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| template <bool isOuter> | |||
| void countMaxNumElementsPerRow(int32_t size); | |||
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Perhaps document this function and the 'isOuter' template parameter.
| // is_outer = false | ||
| auto op1 = PlanBuilder().values({vector}).unnest({"c0"}, {"c1"}, std::nullopt, false /* is_outer */).planNode(); | ||
| auto params1 = makeCursorParameters(op1); | ||
| auto expected1 = makeRowVector({ |
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nit: can we have 'op', 'params', 'expected' and reuse them in the other test cases?
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Support the explode/posexplode with outer semantic. Unlike explode/posexplode, if the array/map is null or empty then null is produced.
Spark doc: https://spark.apache.org/docs/latest/api/python/reference/pyspark.sql/api/pyspark.sql.functions.explode_outer.html