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Posted to issues@spark.apache.org by "Xiao Li (JIRA)" <ji...@apache.org> on 2016/02/24 05:08:18 UTC
[jira] [Commented] (SPARK-13445) Seleting "data" with window
function does not work unless aliased (using PARTITION BY)
[ https://issues.apache.org/jira/browse/SPARK-13445?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15160151#comment-15160151 ]
Xiao Li commented on SPARK-13445:
---------------------------------
I will take a look at this. Thanks!
> Seleting "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
> Reporter: Reynold Xin
> 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}
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