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Dongjoon Hyun commented on SPARK-17049: --------------------------------------- Hi, [~gcivan]. Yes. On Spark 2.0, it fails. Fortunately, the bug seems to be fixed already. {code} scala> sql("create table a as select 1 as col") scala> sql("select *, lag(col) over (order by col) as prev from a") scala> sql("select *, lag(col) over (order by col) as prev from a").show() +---+----+ |col|prev| +---+----+ | 1|null| +---+----+ scala> spark.version res3: String = 2.1.0-SNAPSHOT {code} > LAG function fails when selecting all columns > --------------------------------------------- > > Key: SPARK-17049 > URL: https://issues.apache.org/jira/browse/SPARK-17049 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 2.0.0 > Reporter: Gokhan Civan > > In version 1.6.1, the queries > create table a as select 1 as col; > select *, lag(col) over (order by col) as prev from a; > successfully produce the table > col prev > 1 null > However, in version 2.0.0, this fails with the error > org.apache.spark.sql.AnalysisException: Window Frame RANGE BETWEEN UNBOUNDED > PRECEDING AND CURRENT ROW must match the required frame ROWS BETWEEN 1 > PRECEDING AND 1 PRECEDING; > at > org.apache.spark.sql.catalyst.analysis.CheckAnalysis$class.failAnalysis(CheckAnalysis.scala:40) > at > org.apache.spark.sql.catalyst.analysis.Analyzer.failAnalysis(Analyzer.scala:58) > at > org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveWindowFrame$$anonfun$apply$29$$anonfun$applyOrElse$10.applyOrElse(Analyzer.scala:1785) > at > org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveWindowFrame$$anonfun$apply$29$$anonfun$applyOrElse$10.applyOrElse(Analyzer.scala:1781) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:279) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:279) > at > org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:69) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:278) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:284) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:284) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:321) > at > org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:179) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transformChildren(TreeNode.scala:319) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:284) > at > org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpressionDown$1(QueryPlan.scala:156) > at > org.apache.spark.sql.catalyst.plans.QueryPlan.org$apache$spark$sql$catalyst$plans$QueryPlan$$recursiveTransform$1(QueryPlan.scala:166) > at > org.apache.spark.sql.catalyst.plans.QueryPlan$$anonfun$org$apache$spark$sql$catalyst$plans$QueryPlan$$recursiveTransform$1$1.apply(QueryPlan.scala:170) > ... > On the other hand, the query works if * is replaced with col as in > select col, lag(col) over (order by col) as prev from a; > It also works as follows: > select col, lag(col) over (order by col ROWS BETWEEN 1 PRECEDING AND 1 > PRECEDING) as prev from a; -- 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