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https://issues.apache.org/jira/browse/SPARK-24867?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16554986#comment-16554986
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Saisai Shao commented on SPARK-24867:
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[~smilegator] what's the ETA of this issue?
> 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: Xiao Li
> Priority: Blocker
>
> {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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