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Barry Becker commented on SPARK-15230: -------------------------------------- I updated the description so it says distinct instead of describe. I believe there is a separate jira for the problem with describe not handling backquoted columns. > Back quoted column with dot in it fails when running distinct on dataframe > -------------------------------------------------------------------------- > > Key: SPARK-15230 > URL: https://issues.apache.org/jira/browse/SPARK-15230 > Project: Spark > Issue Type: Bug > Components: Examples > Affects Versions: 1.6.0 > Reporter: Barry Becker > > When working with a dataframe columns with .'s in them must be backquoted > (``) or the column name will not be found. This works for most dataframe > methods, but I discovered that it does not work for distinct(). > Suppose you have a dataFrame, testDf, with a DoubleType column named > {{pos.NoZero}}. This statememt: > {noformat} > testDf.select(new Column("`pos.NoZero`")).distinct().collect().mkString(", ") > {noformat} > will fail with this error: > {noformat} > org.apache.spark.sql.AnalysisException: Cannot resolve column name > "pos.NoZero" among (pos.NoZero); > at > org.apache.spark.sql.DataFrame$$anonfun$resolve$1.apply(DataFrame.scala:152) > at > org.apache.spark.sql.DataFrame$$anonfun$resolve$1.apply(DataFrame.scala:152) > at scala.Option.getOrElse(Option.scala:121) > at org.apache.spark.sql.DataFrame.resolve(DataFrame.scala:151) > at > org.apache.spark.sql.DataFrame$$anonfun$dropDuplicates$1$$anonfun$40.apply(DataFrame.scala:1329) > at > org.apache.spark.sql.DataFrame$$anonfun$dropDuplicates$1$$anonfun$40.apply(DataFrame.scala:1329) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245) > at > scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33) > at scala.collection.mutable.WrappedArray.foreach(WrappedArray.scala:35) > at scala.collection.TraversableLike$class.map(TraversableLike.scala:245) > at scala.collection.AbstractTraversable.map(Traversable.scala:104) > at > org.apache.spark.sql.DataFrame$$anonfun$dropDuplicates$1.apply(DataFrame.scala:1329) > at > org.apache.spark.sql.DataFrame$$anonfun$dropDuplicates$1.apply(DataFrame.scala:1328) > at > org.apache.spark.sql.DataFrame.org$apache$spark$sql$DataFrame$$withPlan(DataFrame.scala:2165) > at org.apache.spark.sql.DataFrame.dropDuplicates(DataFrame.scala:1328) > at org.apache.spark.sql.DataFrame.dropDuplicates(DataFrame.scala:1348) > at org.apache.spark.sql.DataFrame.dropDuplicates(DataFrame.scala:1319) > at org.apache.spark.sql.DataFrame.distinct(DataFrame.scala:1612) > at > com.mineset.spark.vizagg.selection.SelectionExpressionSuite$$anonfun$40.apply$mcV$sp(SelectionExpressionSuite.scala:317) > {noformat} -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org