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[SPARK-41191] [SQL] Cache Table is not working while nested caches exist #38703
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This looks correct, but I don't know how is this related to the cache problem. Can you elaborate?
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The premise of using cache is that
canonicalizedof two plans is equals.canonicalizedofplanof twoListQueryis equals, butcanonicalizedof childOutputs is different because their exprIds are different.In the end, the cache did not take effect.
plan to be executed:

Plan that have been cached:

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@allisonwang-db do you know why we have
childOutputs? It seems to bechild.outputmost of the timeThere was a problem hiding this comment.
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Or should we delete childOutputs?
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I'm experiencing the similar issue after upgrading Spark version from 3.2 to 3.3 when updating AWS EMR version from 6.7.0 to 6.9.0. May I ask which Spark version this issue starts with? And I'm wondering if Spark has any plan on pushing this fix?