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https://issues.apache.org/jira/browse/SPARK-17049?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Hyukjin Kwon resolved SPARK-17049.
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Resolution: Cannot Reproduce
I am resolving this JIRA as Cannot Reproduce as described in the wiki
https://cwiki.apache.org/confluence/display/SPARK/Contributing+to+Spark
It seems I can't reproduce this too.
{code}
spark-sql> create table a as select 1 as col;
Time taken: 3.24 seconds
spark-sql> select *, lag(col) over (order by col) as prev from a;
1 NULL
{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;
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