[ https://issues.apache.org/jira/browse/SPARK-13445?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-13445: ------------------------------------ Assignee: Apache Spark > Selecting "data" with window function does not work unless aliased (using > PARTITION BY) > --------------------------------------------------------------------------------------- > > Key: SPARK-13445 > URL: https://issues.apache.org/jira/browse/SPARK-13445 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 1.6.0 > Reporter: Reynold Xin > Assignee: Apache Spark > Priority: Critical > > The code does not throw an exception if "data" is aliased. Maybe this is a > reserved word or aliases are just required when using PARTITION BY? > {code} > sql(""" > SELECT > data as the_data, > row_number() over (partition BY data.type) AS foo > FROM event_record_sample > """) > {code} > However, this code throws an error: > {code} > sql(""" > SELECT > data, > row_number() over (partition BY data.type) AS foo > FROM event_record_sample > """) > {code} > {code} > org.apache.spark.sql.AnalysisException: resolved attribute(s) type#15246 > missing from > data#15107,par_cat#15112,schemaMajorVersion#15110,source#15108,recordId#15103,features#15106,eventType#15105,ts#15104L,schemaMinorVersion#15111,issues#15109 > in operator !Project [data#15107,type#15246]; > at > org.apache.spark.sql.catalyst.analysis.CheckAnalysis$class.failAnalysis(CheckAnalysis.scala:38) > at > org.apache.spark.sql.catalyst.analysis.Analyzer.failAnalysis(Analyzer.scala:44) > at > org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1.apply(CheckAnalysis.scala:183) > at > org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1.apply(CheckAnalysis.scala:50) > at > org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:105) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$foreachUp$1.apply(TreeNode.scala:104) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$foreachUp$1.apply(TreeNode.scala:104) > at scala.collection.immutable.List.foreach(List.scala:318) > at > org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:104) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$foreachUp$1.apply(TreeNode.scala:104) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$foreachUp$1.apply(TreeNode.scala:104) > at scala.collection.immutable.List.foreach(List.scala:318) > at > org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:104) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$foreachUp$1.apply(TreeNode.scala:104) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$foreachUp$1.apply(TreeNode.scala:104) > at scala.collection.immutable.List.foreach(List.scala:318) > at > org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:104) > at > org.apache.spark.sql.catalyst.analysis.CheckAnalysis$class.checkAnalysis(CheckAnalysis.scala:50) > at > org.apache.spark.sql.catalyst.analysis.Analyzer.checkAnalysis(Analyzer.scala:44) > at > org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:34) > at org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:133) > at org.apache.spark.sql.DataFrame$.apply(DataFrame.scala:52) > at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:816) > {code} -- 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