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Posted to issues@spark.apache.org by "saravanan (JIRA)" <ji...@apache.org> on 2017/06/24 02:58:00 UTC
[jira] [Created] (SPARK-21202) Assignment operator ==== working,
But equalTo is throw with error
saravanan created SPARK-21202:
---------------------------------
Summary: 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
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.
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