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https://issues.apache.org/jira/browse/SPARK-30532?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17048839#comment-17048839
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Oleksii Kachaiev commented on SPARK-30532:
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The same applies to other stats functions: {{cov}}, {{corr}} and {{freqItems}}.
I'm working on PR to fix all of them (the problem is similar in all cases).
> DataFrameStatFunctions.approxQuantile doesn't work with TABLE.COLUMN syntax
> ---------------------------------------------------------------------------
>
> Key: SPARK-30532
> URL: https://issues.apache.org/jira/browse/SPARK-30532
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 2.4.4
> Reporter: Chris Suchanek
> Priority: Minor
>
> The DataFrameStatFunctions.approxQuantile doesn't work with fully qualified
> column name (i.e TABLE_NAME.COLUMN_NAME) which is often the way you refer to
> the column when working with joined dataframes having ambiguous column names.
> See code below for example.
> {code:java}
> import scala.util.Random
> val l = (0 to 1000).map(_ => Random.nextGaussian() * 1000)
> val df1 = sc.parallelize(l).toDF("num").as("tt1")
> val df2 = sc.parallelize(l).toDF("num").as("tt2")
> val dfx = df2.crossJoin(df1)
> dfx.stat.approxQuantile("tt1.num", Array(0.1), 0.0)
> // throws: java.lang.IllegalArgumentException: Field "tt1.num" does not exist.
> Available fields: num
> dfx.stat.approxQuantile("num", Array(0.1), 0.0)
> // throws: org.apache.spark.sql.AnalysisException: Reference 'num' is
> ambiguous, could be: tt2.num, tt1.num.;{code}
>
>
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