[GitHub] spark issue #20276: [SPARK-14948][SQL] disambiguate attributes in join condi...
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/20276 I'm closing it since `AnalysisBarrier` is no longer there. We should revisit the whole self-join problem and fix it in 3.0, with breaking changes if necessary. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user ssimeonov commented on the issue: https://github.com/apache/spark/pull/20276 @cloud-fan do you expect to resolve conflict + merge at some point? --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user dongjoon-hyun commented on the issue: https://github.com/apache/spark/pull/20276 Hi, @cloud-fan . If this PR is still valid, could you resolve the conflicts? --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user cloud-fan commented on the issue:
https://github.com/apache/spark/pull/20276
> Is this only going to fix the case of joining DataFrames derived from the
same DataFrame but not for self-joining?
Yes. I think self-join is not fixable, `df.join(df, df("id") === (df("id")
+ 1))`, we have no idea what the join condition means. Maybe we should throw
exception for this case.
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[GitHub] spark issue #20276: [SPARK-14948][SQL] disambiguate attributes in join condi...
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