[SPARK-25714] [BACKPORT-2.3] Fix Null Handling in the Optimizer rule BooleanSimplification #22718
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Test build #97355 has finished for PR 22718 at commit
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Retest this please. |
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Test build #97365 has finished for PR 22718 at commit
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cc @cloud-fan |
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Oct 16, 2018
…ooleanSimplification This PR is to backport #22702 to branch 2.3. --- ## What changes were proposed in this pull request? ```Scala val df1 = Seq(("abc", 1), (null, 3)).toDF("col1", "col2") df1.write.mode(SaveMode.Overwrite).parquet("/tmp/test1") val df2 = spark.read.parquet("/tmp/test1") df2.filter("col1 = 'abc' OR (col1 != 'abc' AND col2 == 3)").show() ``` Before the PR, it returns both rows. After the fix, it returns `Row ("abc", 1))`. This is to fix the bug in NULL handling in BooleanSimplification. This is a bug introduced in Spark 1.6 release. ## How was this patch tested? Added test cases Closes #22718 from gatorsmile/cherrypickSPARK-25714. Authored-by: gatorsmile <gatorsmile@gmail.com> Signed-off-by: Wenchen Fan <wenchen@databricks.com>
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thanks, merging to 2.3! |
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This PR is to backport #22702 to branch 2.3.
What changes were proposed in this pull request?
Before the PR, it returns both rows. After the fix, it returns
Row ("abc", 1)). This is to fix the bug in NULL handling in BooleanSimplification. This is a bug introduced in Spark 1.6 release.How was this patch tested?
Added test cases