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Posted to issues@spark.apache.org by "Miguel Angel Fernandez Diaz (JIRA)" <ji...@apache.org> on 2017/07/20 09:55:00 UTC
[jira] [Updated] (SPARK-21486) Fail when using aliased column of a
aliased table from a subquery
[ https://issues.apache.org/jira/browse/SPARK-21486?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Miguel Angel Fernandez Diaz updated SPARK-21486:
------------------------------------------------
Description:
SparkSQL cannot resolve a qualified column when using the column alias and the table alias from a subquery.
Example:
{code:sql}
SELECT a21.ta FROM (SELECT tip_amount as ta FROM yellow a21)
{code}
Error:
{code}
org.apache.spark.sql.AnalysisException: cannot resolve '`a21.ta`' given input columns: [ta]; line 1 pos 7;
'Project ['a21.ta]
+- Project [tip_amount#505 AS ta#489]
+- SubqueryAlias a21
+- SubqueryAlias yellow
+- Relation[VendorID#490,tpep_pickup_datetime#491,tpep_dropoff_datetime#492,passenger_count#493,trip_distance#494,pickup_longitude#495,pickup_latitude#496,RatecodeID#497,store_and_fwd_flag#498,dropoff_longitude#499,dropoff_latitude#500,payment_type#501,fare_amount#502,extra#503,mta_tax#504,tip_amount#505,tolls_amount#506,improvement_surcharge#507,total_amount#508] csv
at org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.failAnalysis(package.scala:42)
at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1$$anonfun$apply$2.applyOrElse(CheckAnalysis.scala:88)
at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1$$anonfun$apply$2.applyOrElse(CheckAnalysis.scala:85)
at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:289)
at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:289)
at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:70)
at org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:288)
at org.apache.spark.sql.catalyst.plans.QueryPlan$$anonfun$transformExpressionsUp$1.apply(QueryPlan.scala:268)
at org.apache.spark.sql.catalyst.plans.QueryPlan$$anonfun$transformExpressionsUp$1.apply(QueryPlan.scala:268)
at org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpression$1(QueryPlan.scala:279)
at org.apache.spark.sql.catalyst.plans.QueryPlan.org$apache$spark$sql$catalyst$plans$QueryPlan$$recursiveTransform$1(QueryPlan.scala:289)
at org.apache.spark.sql.catalyst.plans.QueryPlan$$anonfun$org$apache$spark$sql$catalyst$plans$QueryPlan$$recursiveTransform$1$1.apply(QueryPlan.scala:293)
at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at scala.collection.immutable.List.foreach(List.scala:381)
at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
at scala.collection.immutable.List.map(List.scala:285)
at org.apache.spark.sql.catalyst.plans.QueryPlan.org$apache$spark$sql$catalyst$plans$QueryPlan$$recursiveTransform$1(QueryPlan.scala:293)
at org.apache.spark.sql.catalyst.plans.QueryPlan$$anonfun$6.apply(QueryPlan.scala:298)
at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:187)
at org.apache.spark.sql.catalyst.plans.QueryPlan.mapExpressions(QueryPlan.scala:298)
at org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpressionsUp(QueryPlan.scala:268)
at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1.apply(CheckAnalysis.scala:85)
at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1.apply(CheckAnalysis.scala:78)
at org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:127)
at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$class.checkAnalysis(CheckAnalysis.scala:78)
at org.apache.spark.sql.catalyst.analysis.Analyzer.checkAnalysis(Analyzer.scala:91)
at org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:52)
at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:66)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:623)
... 48 elided
{code}
was:
SparkSQL cannot resolve a qualified column when using the column alias and the table alias from a subquery.
Example:
{code:sql}
SELECT a21.tip_amount FROM (SELECT tip_amount as ta FROM yellow a21)
{code}
Error:
{code}
org.apache.spark.sql.AnalysisException: cannot resolve '`a21.tip_amount`' given input columns: [ta]; line 1 pos 7;
'Project ['a21.tip_amount]
+- Project [tip_amount#551 AS ta#535]
+- SubqueryAlias a21
+- SubqueryAlias yellow
+- Relation[VendorID#536,tpep_pickup_datetime#537,tpep_dropoff_datetime#538,passenger_count#539,trip_distance#540,pickup_longitude#541,pickup_latitude#542,RatecodeID#543,store_and_fwd_flag#544,dropoff_longitude#545,dropoff_latitude#546,payment_type#547,fare_amount#548,extra#549,mta_tax#550,tip_amount#551,tolls_amount#552,improvement_surcharge#553,total_amount#554] csv
at org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.failAnalysis(package.scala:42)
at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1$$anonfun$apply$2.applyOrElse(CheckAnalysis.scala:88)
at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1$$anonfun$apply$2.applyOrElse(CheckAnalysis.scala:85)
at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:289)
at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:289)
at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:70)
at org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:288)
at org.apache.spark.sql.catalyst.plans.QueryPlan$$anonfun$transformExpressionsUp$1.apply(QueryPlan.scala:268)
at org.apache.spark.sql.catalyst.plans.QueryPlan$$anonfun$transformExpressionsUp$1.apply(QueryPlan.scala:268)
at org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpression$1(QueryPlan.scala:279)
at org.apache.spark.sql.catalyst.plans.QueryPlan.org$apache$spark$sql$catalyst$plans$QueryPlan$$recursiveTransform$1(QueryPlan.scala:289)
at org.apache.spark.sql.catalyst.plans.QueryPlan$$anonfun$org$apache$spark$sql$catalyst$plans$QueryPlan$$recursiveTransform$1$1.apply(QueryPlan.scala:293)
at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at scala.collection.immutable.List.foreach(List.scala:381)
at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
at scala.collection.immutable.List.map(List.scala:285)
at org.apache.spark.sql.catalyst.plans.QueryPlan.org$apache$spark$sql$catalyst$plans$QueryPlan$$recursiveTransform$1(QueryPlan.scala:293)
at org.apache.spark.sql.catalyst.plans.QueryPlan$$anonfun$6.apply(QueryPlan.scala:298)
at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:187)
at org.apache.spark.sql.catalyst.plans.QueryPlan.mapExpressions(QueryPlan.scala:298)
at org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpressionsUp(QueryPlan.scala:268)
at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1.apply(CheckAnalysis.scala:85)
at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1.apply(CheckAnalysis.scala:78)
at org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:127)
at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$class.checkAnalysis(CheckAnalysis.scala:78)
at org.apache.spark.sql.catalyst.analysis.Analyzer.checkAnalysis(Analyzer.scala:91)
at org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:52)
at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:66)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:623)
... 48 elided
{code}
> Fail when using aliased column of a aliased table from a subquery
> -----------------------------------------------------------------
>
> Key: SPARK-21486
> URL: https://issues.apache.org/jira/browse/SPARK-21486
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.1.0, 2.1.1, 2.2.0
> Reporter: Miguel Angel Fernandez Diaz
>
> SparkSQL cannot resolve a qualified column when using the column alias and the table alias from a subquery.
> Example:
> {code:sql}
> SELECT a21.ta FROM (SELECT tip_amount as ta FROM yellow a21)
> {code}
> Error:
> {code}
> org.apache.spark.sql.AnalysisException: cannot resolve '`a21.ta`' given input columns: [ta]; line 1 pos 7;
> 'Project ['a21.ta]
> +- Project [tip_amount#505 AS ta#489]
> +- SubqueryAlias a21
> +- SubqueryAlias yellow
> +- Relation[VendorID#490,tpep_pickup_datetime#491,tpep_dropoff_datetime#492,passenger_count#493,trip_distance#494,pickup_longitude#495,pickup_latitude#496,RatecodeID#497,store_and_fwd_flag#498,dropoff_longitude#499,dropoff_latitude#500,payment_type#501,fare_amount#502,extra#503,mta_tax#504,tip_amount#505,tolls_amount#506,improvement_surcharge#507,total_amount#508] csv
> at org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.failAnalysis(package.scala:42)
> at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1$$anonfun$apply$2.applyOrElse(CheckAnalysis.scala:88)
> at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1$$anonfun$apply$2.applyOrElse(CheckAnalysis.scala:85)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:289)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:289)
> at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:70)
> at org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:288)
> at org.apache.spark.sql.catalyst.plans.QueryPlan$$anonfun$transformExpressionsUp$1.apply(QueryPlan.scala:268)
> at org.apache.spark.sql.catalyst.plans.QueryPlan$$anonfun$transformExpressionsUp$1.apply(QueryPlan.scala:268)
> at org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpression$1(QueryPlan.scala:279)
> at org.apache.spark.sql.catalyst.plans.QueryPlan.org$apache$spark$sql$catalyst$plans$QueryPlan$$recursiveTransform$1(QueryPlan.scala:289)
> at org.apache.spark.sql.catalyst.plans.QueryPlan$$anonfun$org$apache$spark$sql$catalyst$plans$QueryPlan$$recursiveTransform$1$1.apply(QueryPlan.scala:293)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.immutable.List.foreach(List.scala:381)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
> at scala.collection.immutable.List.map(List.scala:285)
> at org.apache.spark.sql.catalyst.plans.QueryPlan.org$apache$spark$sql$catalyst$plans$QueryPlan$$recursiveTransform$1(QueryPlan.scala:293)
> at org.apache.spark.sql.catalyst.plans.QueryPlan$$anonfun$6.apply(QueryPlan.scala:298)
> at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:187)
> at org.apache.spark.sql.catalyst.plans.QueryPlan.mapExpressions(QueryPlan.scala:298)
> at org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpressionsUp(QueryPlan.scala:268)
> at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1.apply(CheckAnalysis.scala:85)
> at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1.apply(CheckAnalysis.scala:78)
> at org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:127)
> at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$class.checkAnalysis(CheckAnalysis.scala:78)
> at org.apache.spark.sql.catalyst.analysis.Analyzer.checkAnalysis(Analyzer.scala:91)
> at org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:52)
> at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:66)
> at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:623)
> ... 48 elided
> {code}
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