Barry Becker created SPARK-15230: ------------------------------------ Summary: 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 describe(). Suppose you have a dataFrame, testDf, with a DoubleType column named "pos.NoZero". This statememt: testDf.select(new Column("`pos.NoZero`")).distinct().collect().mkString(", ") will fail with this error: 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) -- 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