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https://issues.apache.org/jira/browse/SPARK-19017?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15783653#comment-15783653
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Nattavut Sutyanyong commented on SPARK-19017:
---------------------------------------------
The semantics of the NOT IN for multiple columns T1(a1, b1, ... ) NOT IN T2(a2,
b2, ...) is
# For any rows of T1 if a1 <> ALL (T2.a2), those rows are returned.
# For any rows of T1 if a1 = ANY (T2.a2), take the qualified rows from T1 and
T2 and compare the values from the next pair of columns with the similar
condition in 1. -- if b1 <> ALL (T2.b2), those rows are returned.
# Repeat the steps until the last pair in the column list.
> NOT IN subquery with more than one column may return incorrect results
> ----------------------------------------------------------------------
>
> Key: SPARK-19017
> URL: https://issues.apache.org/jira/browse/SPARK-19017
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.0.0, 2.0.1, 2.0.2, 2.1.0
> Reporter: Nattavut Sutyanyong
>
> When putting more than one column in the NOT IN, the query may not return
> correctly if there is a null data. We can demonstrate the problem with the
> following data set and query:
> {code}
> Seq((2,1)).toDF("a1","b1").createOrReplaceTempView("t1")
> Seq[(java.lang.Integer,java.lang.Integer)]((1,null)).toDF("a2","b2").createOrReplaceTempView("t2")
> sql("select * from t1 where (a1,b1) not in (select a2,b2 from t2)").show
> +---+---+
> | a1| b1|
> +---+---+
> +---+---+
> {code}
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