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[SPARK-34639][SQL][3.1] RelationalGroupedDataset.alias should not create UnresolvedAlias - #32239
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[SPARK-34639][SQL][3.1] RelationalGroupedDataset.alias should not create UnresolvedAlias#32239cloud-fan wants to merge 1 commit into
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SparkQA
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Apr 19, 2021
Kubernetes integration test starting |
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Apr 19, 2021
Kubernetes integration test status failure |
SparkQA
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Apr 19, 2021
Test build #137640 has finished for PR 32239 at commit
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Kubernetes integration test starting |
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Test build #137681 has finished for PR 32239 at commit
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cloud-fan
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Apr 20, 2021
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maropu
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Apr 21, 2021
| Row("C", null, 3) :: Row("C", "{\"i\": 1}", 3) :: Nil) | ||
| assert(spark.table("t").groupBy($"c.json_string").count().schema.fieldNames === | ||
| Seq("json_string", "count")) |
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nit: It's safer for branch-3.0 to have this test, too, I think.
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…ate UnresolvedAlias ### What changes were proposed in this pull request? This PR partially backports #31758 to 3.1, to fix a backward compatibility issue caused by #28490 The query below has different output schemas in 3.0 and 3.1 ``` sql("select struct(1, 2) as s").groupBy(col("s.col1")).agg(first("s")) ``` In 3.0 the output column name is `col1`, in 3.1 it's `s.col1`. This breaks existing queries. In #28490 , we changed the logic of resolving aggregate expressions. What happened is that the input nested column `s.col1` will become `UnresolvedAlias(s.col1, None)`. In `ResolveReference`, the logic used to directly resolve `s.col` to `s.col1 AS col1` but after #28490 we enter the code path with `trimAlias = true and !isTopLevel`, so the alias is removed and resulting in `s.col1`, which will then be resolved in `ResolveAliases` as `s.col1 AS s.col1` #31758 happens to fix this issue because we no longer wrap `UnresolvedAttribute` with `UnresolvedAlias` in `RelationalGroupedDataset`. ### Why are the changes needed? Fix an unexpected query output schema change ### Does this PR introduce _any_ user-facing change? Yes as explained above. ### How was this patch tested? updated test Closes#32239 from cloud-fan/bug. Authored-by: Wenchen Fan <wenchen@databricks.com> Signed-off-by: Takeshi Yamamuro <yamamuro@apache.org>
maropu
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Apr 21, 2021
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Merged to branch-3.1. Thank you. |
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Sep 21, 2021
…ate UnresolvedAlias ### What changes were proposed in this pull request? This PR partially backports apache#31758 to 3.1, to fix a backward compatibility issue caused by apache#28490 The query below has different output schemas in 3.0 and 3.1 ``` sql("select struct(1, 2) as s").groupBy(col("s.col1")).agg(first("s")) ``` In 3.0 the output column name is `col1`, in 3.1 it's `s.col1`. This breaks existing queries. In apache#28490 , we changed the logic of resolving aggregate expressions. What happened is that the input nested column `s.col1` will become `UnresolvedAlias(s.col1, None)`. In `ResolveReference`, the logic used to directly resolve `s.col` to `s.col1 AS col1` but after apache#28490 we enter the code path with `trimAlias = true and !isTopLevel`, so the alias is removed and resulting in `s.col1`, which will then be resolved in `ResolveAliases` as `s.col1 AS s.col1` apache#31758 happens to fix this issue because we no longer wrap `UnresolvedAttribute` with `UnresolvedAlias` in `RelationalGroupedDataset`. ### Why are the changes needed? Fix an unexpected query output schema change ### Does this PR introduce _any_ user-facing change? Yes as explained above. ### How was this patch tested? updated test Closesapache#32239 from cloud-fan/bug. Authored-by: Wenchen Fan <wenchen@databricks.com> Signed-off-by: Takeshi Yamamuro <yamamuro@apache.org>
fishcus pushed a commit
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Jan 12, 2022
…ate UnresolvedAlias ### What changes were proposed in this pull request? This PR partially backports apache#31758 to 3.1, to fix a backward compatibility issue caused by apache#28490 The query below has different output schemas in 3.0 and 3.1 ``` sql("select struct(1, 2) as s").groupBy(col("s.col1")).agg(first("s")) ``` In 3.0 the output column name is `col1`, in 3.1 it's `s.col1`. This breaks existing queries. In apache#28490 , we changed the logic of resolving aggregate expressions. What happened is that the input nested column `s.col1` will become `UnresolvedAlias(s.col1, None)`. In `ResolveReference`, the logic used to directly resolve `s.col` to `s.col1 AS col1` but after apache#28490 we enter the code path with `trimAlias = true and !isTopLevel`, so the alias is removed and resulting in `s.col1`, which will then be resolved in `ResolveAliases` as `s.col1 AS s.col1` apache#31758 happens to fix this issue because we no longer wrap `UnresolvedAttribute` with `UnresolvedAlias` in `RelationalGroupedDataset`. ### Why are the changes needed? Fix an unexpected query output schema change ### Does this PR introduce _any_ user-facing change? Yes as explained above. ### How was this patch tested? updated test Closesapache#32239 from cloud-fan/bug. Authored-by: Wenchen Fan <wenchen@databricks.com> Signed-off-by: Takeshi Yamamuro <yamamuro@apache.org>
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What changes were proposed in this pull request?
This PR partially backports #31758 to 3.1, to fix a backward compatibility issue caused by #28490
The query below has different output schemas in 3.0 and 3.1
In 3.0 the output column name is
col1, in 3.1 it'ss.col1. This breaks existing queries.In #28490 , we changed the logic of resolving aggregate expressions. What happened is that the input nested column
s.col1will becomeUnresolvedAlias(s.col1, None). InResolveReference, the logic used to directly resolves.coltos.col1 AS col1but after #28490 we enter the code path withtrimAlias = true and !isTopLevel, so the alias is removed and resulting ins.col1, which will then be resolved inResolveAliasesass.col1 AS s.col1#31758 happens to fix this issue because we no longer wrap
UnresolvedAttributewithUnresolvedAliasinRelationalGroupedDataset.Why are the changes needed?
Fix an unexpected query output schema change
Does this PR introduce any user-facing change?
Yes as explained above.
How was this patch tested?
updated test