[jira] [Assigned] (SPARK-24867) Add AnalysisBarrier to DataFrameWriter

["Apache Spark (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-24867?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-24867:
------------------------------------

    Assignee: Apache Spark  (was: Xiao Li)

> Add AnalysisBarrier to DataFrameWriter 
> ---------------------------------------
>
>                 Key: SPARK-24867
>                 URL: https://issues.apache.org/jira/browse/SPARK-24867
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.3.0, 2.3.1
>            Reporter: Xiao Li
>            Assignee: Apache Spark
>            Priority: Major
>
> {code}
>       val udf1 = udf({(x: Int, y: Int) => x + y})
>       val df = spark.range(0, 3).toDF("a")
>         .withColumn("b", udf1($"a", udf1($"a", lit(10))))
>       df.cache()
>       df.write.saveAsTable("t")
>       df.write.saveAsTable("t1")
> {code}
> Cache is not being used because the plans do not match with the cached plan. This is a regression caused by the changes we made in AnalysisBarrier, since not all the Analyzer rules are idempotent. We need to fix it to Spark 2.3.2



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