[SPARK-48922][SQL][3.5] Avoid redundant array transform of identical expression for map type#50265
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[SPARK-48922][SQL][3.5] Avoid redundant array transform of identical expression for map type#50265wForget wants to merge 1 commit into
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…ssion for map type ### What changes were proposed in this pull request? Similar to apache#47843, this patch avoids ArrayTransform in `resolveMapType` function if the resolution expression is the same as input param. ### Why are the changes needed? My previous pr apache#47381 was not merged, but I still think it is an optimization, so I reopened it. During the upgrade from Spark 3.1.1 to 3.5.0, I found a performance regression in map type inserts. There are some extra conversion expressions in project before insert, which doesn't seem to be always necessary. ``` map_from_arrays(transform(map_keys(map#516), lambdafunction(lambda key#652, lambda key#652, false)), transform(map_values(map#516), lambdafunction(lambda value#654, lambda value#654, false))) AS map#656 ``` ### Does this PR introduce _any_ user-facing change? No ### How was this patch tested? added unit test ### Was this patch authored or co-authored using generative AI tooling? No Closes apache#50245 from wForget/SPARK-48922. Authored-by: wforget <643348094@qq.com> Signed-off-by: beliefer <beliefer@163.com> (cherry picked from commit 1be108e)
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LGTM Thank you @wForget |
viirya
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…expression for map type ### What changes were proposed in this pull request? Backports #50245 to 3.5 Similar to #47843, this patch avoids ArrayTransform in `resolveMapType` function if the resolution expression is the same as input param. ### Why are the changes needed? My previous pr #47381 was not merged, but I still think it is an optimization, so I reopened it. During the upgrade from Spark 3.1.1 to 3.5.0, I found a performance regression in map type inserts. There are some extra conversion expressions in project before insert, which doesn't seem to be always necessary. ``` map_from_arrays(transform(map_keys(map#516), lambdafunction(lambda key#652, lambda key#652, false)), transform(map_values(map#516), lambdafunction(lambda value#654, lambda value#654, false))) AS map#656 ``` ### Does this PR introduce _any_ user-facing change? No ### How was this patch tested? added unit test ### Was this patch authored or co-authored using generative AI tooling? No Closes #50245 from wForget/SPARK-48922. Authored-by: wforget <643348094qq.com> Signed-off-by: beliefer <beliefer163.com> (cherry picked from commit 1be108e) Closes #50265 from wForget/SPARK-48922-3.5. Authored-by: wforget <643348094@qq.com> Signed-off-by: beliefer <beliefer@163.com>
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What changes were proposed in this pull request?
Backports #50245 to 3.5
Similar to #47843, this patch avoids ArrayTransform in
resolveMapTypefunction if the resolution expression is the same as input param.Why are the changes needed?
My previous pr #47381 was not merged, but I still think it is an optimization, so I reopened it.
During the upgrade from Spark 3.1.1 to 3.5.0, I found a performance regression in map type inserts.
There are some extra conversion expressions in project before insert, which doesn't seem to be always necessary.
Does this PR introduce any user-facing change?
No
How was this patch tested?
added unit test
Was this patch authored or co-authored using generative AI tooling?
No
Closes #50245 from wForget/SPARK-48922.
Authored-by: wforget 643348094@qq.com
Signed-off-by: beliefer beliefer@163.com
(cherry picked from commit 1be108e)