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https://issues.apache.org/jira/browse/SPARK-26677?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ryan Blue updated SPARK-26677:
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Fix Version/s: 2.4.1
> Incorrect results of not(eqNullSafe) when data read from Parquet file
> ----------------------------------------------------------------------
>
> Key: SPARK-26677
> URL: https://issues.apache.org/jira/browse/SPARK-26677
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.4.0
> Environment: Local installation of Spark on Linux (Java 1.8, Ubuntu
> 18.04).
> Reporter: Michal Kapalka
> Priority: Blocker
> Labels: correctness
> Fix For: 2.4.1
>
>
> Example code (spark-shell from Spark 2.4.0):
> {code:java}
> scala> Seq("A", "A", null).toDS.repartition(1).write.parquet("t")
> scala> spark.read.parquet("t").where(not(col("value").eqNullSafe("A"))).show
> +-----+
> |value|
> +-----+
> +-----+
> {code}
> Running the same with Spark 2.2.0 or 2.3.2 gives the correct result:
> {code:java}
> scala> spark.read.parquet("t").where(not(col("value").eqNullSafe("A"))).show
> +-----+
> |value|
> +-----+
> | null|
> +-----+
> {code}
> Also, with a different input sequence and Spark 2.4.0 we get the correct
> result:
> {code:java}
> scala> Seq("A", null).toDS.repartition(1).write.parquet("t")
> scala> spark.read.parquet("t").where(not(col("value").eqNullSafe("A"))).show
> +-----+
> |value|
> +-----+
> | null|
> +-----+
> {code}
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