[
https://issues.apache.org/jira/browse/SPARK-21202?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
saravanan updated SPARK-21202:
------------------------------
Description:
I raised question in
https://stackoverflow.com/questions/44642403/minus-logic-implementation-not-working-with-spark-scala
==== is working fine for Join two table with multiple key, But equalTo is not
working when i use to join second key.
You can find both working and not working query with error message below
*+Working Query:+*
val ft = spark.sql("select * from " + targetTable)
val stg = spark.sql("select * from " + stgTable)
val result = ft.join ( stg, columnList.length
match {
case 2 => ft(columnList(0)) equalTo stg(columnList(0)) and
ft(columnList(1)){color:red}*{color:#59afe1}===
{color}*{color}stg(columnList(1))
case 1 => ft(columnList(0)) equalTo stg(columnList(0))
}, "left_outer").where(stg(columnList(0)).isNull)
*+Not Working Query :+*
val result = ft.join ( stg, columnList.length
match {
case 2 => ft(columnList(0)) equalTo stg(columnList(0)) and
ft(columnList(1)) equalTo stg(columnList(1))
case 1 => ft(columnList(0)) {color:#59afe1}{color:#d04437}*equalTo
*{color}{color}stg(columnList(0))
}, "left_outer").where(stg(columnList(0)).isNull)
*+Error Message:+*
column used for filtering the not modified records in target table is : order_id
Exception in thread "main" org.apache.spark.sql.AnalysisException: cannot
resolve '((order_id = order_id) && order_product)' due to data type mismatch:
differing types in '((order_id = order_id) && order_product)' (boolean and
string).;
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:65)
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1$$anonfun$apply$2.applyOrElse(CheckAnalysis.scala:57)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:335)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:335)
at
org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:69)
at
org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:334)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:332)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:332)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:281)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
at
scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
at
scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
at
scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
at scala.collection.AbstractIterator.to(Iterator.scala:1157)
at
scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
at
scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
at
org.apache.spark.sql.catalyst.trees.TreeNode.transformChildren(TreeNode.scala:321)
at
org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:332)
at
org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpressionUp$1(QueryPlan.scala:108)
at
org.apache.spark.sql.catalyst.plans.QueryPlan.org$apache$spark$sql$catalyst$plans$QueryPlan$$recursiveTransform$2(QueryPlan.scala:119)
at
org.apache.spark.sql.catalyst.plans.QueryPlan$$anonfun$2.apply(QueryPlan.scala:127)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
at
scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
at
scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
at
scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
at scala.collection.AbstractIterator.to(Iterator.scala:1157)
at
scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
at
scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
at
org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpressionsUp(QueryPlan.scala:127)
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1.apply(CheckAnalysis.scala:57)
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1.apply(CheckAnalysis.scala:50)
at
org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:121)
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis$class.checkAnalysis(CheckAnalysis.scala:50)
at
org.apache.spark.sql.catalyst.analysis.Analyzer.checkAnalysis(Analyzer.scala:44)
at
org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:34)
at org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:133)
at
org.apache.spark.sql.DataFrame.org$apache$spark$sql$DataFrame$$withPlan(DataFrame.scala:2126)
at org.apache.spark.sql.DataFrame.join(DataFrame.scala:541)
at
com.esi.spark.incremental.Load1.HiveIncrementalAppend1$.mergeTwoTable(HiveIncrementalAppend1.scala:108)
at
com.esi.spark.incremental.Load1.HiveIncrementalAppend1$.main(HiveIncrementalAppend1.scala:46)
at
com.esi.spark.incremental.Load1.HiveIncrementalAppend1.main(HiveIncrementalAppend1.scala)
17/06/24 08:20:56 INFO RemoteActorRefProvider$RemotingTerminator: Shutting down
remote daemon.
was:
I raised question in
https://stackoverflow.com/questions/44642403/minus-logic-implementation-not-working-with-spark-scala
==== is working fine for Join two table with multiple key, But equalTo is not
working when i use to join second key.
You can find both working and not working query with error message below
*+Working Query:+*
val ft = spark.sql("select * from " + targetTable)
val stg = spark.sql("select * from " + stgTable)
val result = ft.join ( stg, columnList.length
match {
case 2 => ft(columnList(0)) equalTo stg(columnList(0)) and
ft(columnList(1)){color:red}*{color:#59afe1}===
{color}*{color}stg(columnList(1))
case _ => ft(columnList(0)) equalTo stg(columnList(0))
}, "left_outer").where(stg(columnList(0)).isNull)
*+Not Working Query :+*
val result = ft.join ( stg, columnList.length
match {
case 2 => ft(columnList(0)) equalTo stg(columnList(0)) and
ft(columnList(1)) equalTo stg(columnList(1))
case _ => ft(columnList(0)) equalTo stg(columnList(0))
}, "left_outer").where(stg(columnList(0)).isNull)
*+Error Message:+*
column used for filtering the not modified records in target table is : order_id
Exception in thread "main" org.apache.spark.sql.AnalysisException: cannot
resolve '((order_id = order_id) && order_product)' due to data type mismatch:
differing types in '((order_id = order_id) && order_product)' (boolean and
string).;
at
org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.failAnalysis(package.scala:42)
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1$$anonfun$apply$2.applyOrElse(CheckAnalysis.scala:65)
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1$$anonfun$apply$2.applyOrElse(CheckAnalysis.scala:57)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:335)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:335)
at
org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:69)
at
org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:334)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:332)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:332)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:281)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
at
scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
at
scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
at
scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
at scala.collection.AbstractIterator.to(Iterator.scala:1157)
at
scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
at
scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
at
org.apache.spark.sql.catalyst.trees.TreeNode.transformChildren(TreeNode.scala:321)
at
org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:332)
at
org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpressionUp$1(QueryPlan.scala:108)
at
org.apache.spark.sql.catalyst.plans.QueryPlan.org$apache$spark$sql$catalyst$plans$QueryPlan$$recursiveTransform$2(QueryPlan.scala:119)
at
org.apache.spark.sql.catalyst.plans.QueryPlan$$anonfun$2.apply(QueryPlan.scala:127)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
at
scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
at
scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
at
scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
at scala.collection.AbstractIterator.to(Iterator.scala:1157)
at
scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
at
scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
at
org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpressionsUp(QueryPlan.scala:127)
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1.apply(CheckAnalysis.scala:57)
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1.apply(CheckAnalysis.scala:50)
at
org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:121)
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis$class.checkAnalysis(CheckAnalysis.scala:50)
at
org.apache.spark.sql.catalyst.analysis.Analyzer.checkAnalysis(Analyzer.scala:44)
at
org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:34)
at org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:133)
at
org.apache.spark.sql.DataFrame.org$apache$spark$sql$DataFrame$$withPlan(DataFrame.scala:2126)
at org.apache.spark.sql.DataFrame.join(DataFrame.scala:541)
at
com.esi.spark.incremental.Load1.HiveIncrementalAppend1$.mergeTwoTable(HiveIncrementalAppend1.scala:108)
at
com.esi.spark.incremental.Load1.HiveIncrementalAppend1$.main(HiveIncrementalAppend1.scala:46)
at
com.esi.spark.incremental.Load1.HiveIncrementalAppend1.main(HiveIncrementalAppend1.scala)
17/06/24 08:20:56 INFO RemoteActorRefProvider$RemotingTerminator: Shutting down
remote daemon.
> Assignment operator ==== working, But equalTo is throw with error
> -----------------------------------------------------------------
>
> Key: SPARK-21202
> URL: https://issues.apache.org/jira/browse/SPARK-21202
> Project: Spark
> Issue Type: Bug
> Components: Spark Core, SQL
> Affects Versions: 1.6.1
> Environment: Spark 1.6.1 and scala 2.10.5 in windows
> Reporter: saravanan
> Priority: Minor
> Labels: github-import
> Original Estimate: 168h
> Remaining Estimate: 168h
>
> I raised question in
> https://stackoverflow.com/questions/44642403/minus-logic-implementation-not-working-with-spark-scala
> ==== is working fine for Join two table with multiple key, But equalTo is
> not working when i use to join second key.
> You can find both working and not working query with error message below
> *+Working Query:+*
> val ft = spark.sql("select * from " + targetTable)
> val stg = spark.sql("select * from " + stgTable)
> val result = ft.join ( stg, columnList.length
> match {
> case 2 => ft(columnList(0)) equalTo stg(columnList(0)) and
> ft(columnList(1)){color:red}*{color:#59afe1}===
> {color}*{color}stg(columnList(1))
> case 1 => ft(columnList(0)) equalTo stg(columnList(0))
> }, "left_outer").where(stg(columnList(0)).isNull)
> *+Not Working Query :+*
> val result = ft.join ( stg, columnList.length
> match {
> case 2 => ft(columnList(0)) equalTo stg(columnList(0)) and
> ft(columnList(1)) equalTo stg(columnList(1))
> case 1 => ft(columnList(0)) {color:#59afe1}{color:#d04437}*equalTo
> *{color}{color}stg(columnList(0))
> }, "left_outer").where(stg(columnList(0)).isNull)
> *+Error Message:+*
> column used for filtering the not modified records in target table is :
> order_id
> Exception in thread "main" org.apache.spark.sql.AnalysisException: cannot
> resolve '((order_id = order_id) && order_product)' due to data type mismatch:
> differing types in '((order_id = order_id) && order_product)' (boolean and
> string).;
> 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:65)
> at
> org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1$$anonfun$apply$2.applyOrElse(CheckAnalysis.scala:57)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:335)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:335)
> at
> org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:69)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:334)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:332)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:332)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:281)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at
> scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
> at
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
> at
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
> at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
> at scala.collection.AbstractIterator.to(Iterator.scala:1157)
> at
> scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
> at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
> at
> scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
> at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.transformChildren(TreeNode.scala:321)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:332)
> at
> org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpressionUp$1(QueryPlan.scala:108)
> at
> org.apache.spark.sql.catalyst.plans.QueryPlan.org$apache$spark$sql$catalyst$plans$QueryPlan$$recursiveTransform$2(QueryPlan.scala:119)
> at
> org.apache.spark.sql.catalyst.plans.QueryPlan$$anonfun$2.apply(QueryPlan.scala:127)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at
> scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
> at
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
> at
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
> at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
> at scala.collection.AbstractIterator.to(Iterator.scala:1157)
> at
> scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
> at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
> at
> scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
> at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
> at
> org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpressionsUp(QueryPlan.scala:127)
> at
> org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1.apply(CheckAnalysis.scala:57)
> at
> org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1.apply(CheckAnalysis.scala:50)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:121)
> at
> org.apache.spark.sql.catalyst.analysis.CheckAnalysis$class.checkAnalysis(CheckAnalysis.scala:50)
> at
> org.apache.spark.sql.catalyst.analysis.Analyzer.checkAnalysis(Analyzer.scala:44)
> at
> org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:34)
> at org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:133)
> at
> org.apache.spark.sql.DataFrame.org$apache$spark$sql$DataFrame$$withPlan(DataFrame.scala:2126)
> at org.apache.spark.sql.DataFrame.join(DataFrame.scala:541)
> at
> com.esi.spark.incremental.Load1.HiveIncrementalAppend1$.mergeTwoTable(HiveIncrementalAppend1.scala:108)
> at
> com.esi.spark.incremental.Load1.HiveIncrementalAppend1$.main(HiveIncrementalAppend1.scala:46)
> at
> com.esi.spark.incremental.Load1.HiveIncrementalAppend1.main(HiveIncrementalAppend1.scala)
> 17/06/24 08:20:56 INFO RemoteActorRefProvider$RemotingTerminator: Shutting
> down remote daemon.
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