org.apache.spark.sql.AnalysisException: Can't extract value from b#16;

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    My code: {quote} case class TestData(key: Int, value: String) case class TestData2(a: Int, b: Int) import org.apache.spark.sql.execution.joins._ import sqlContext.implicits._ val testData = sc.parallelize( (1 to 100).map(i => TestData(i, i.toString))).toDF() testData.registerTempTable("testData") val testData2 = sc.parallelize( TestData2(1, 1) :: TestData2(1, 2) :: TestData2(2, 1) :: TestData2(2, 2) :: TestData2(3, 1) :: TestData2(3, 2) :: Nil, 2).toDF() testData2.registerTempTable("testData2") //val tmp = sqlContext.sql("SELECT * FROM testData *LEFT SEMI JOIN* testData2 ON key = a ") val tmp = sqlContext.sql("SELECT testData2.b, count(testData2.b) FROM testData *LEFT SEMI JOIN* testData2 ON key = testData2.a group by testData2.b") tmp.explain() {quote} Error log: {quote} org.apache.spark.sql.AnalysisException: cannot resolve 'testData2.b' given input columns key, value; line 1 pos 108 at org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.failAnalysis(package.scala:42) at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$apply$3$$anonfun$apply$1.applyOrElse(CheckAnalysis.scala:48) at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$apply$3$$anonfun$apply$1.applyOrElse(CheckAnalysis.scala:45) at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:250) at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:250) at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:50) at org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:249) at org.apache.spark.sql.catalyst.plans.QueryPlan.org$apache$spark$sql$catalyst$plans$QueryPlan$$transformExpressionUp$1(QueryPlan.scala:103) at org.apache.spark.sql.catalyst.plans.QueryPlan$$anonfun$2$$anonfun$apply$2.apply(QueryPlan.scala:117) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244) at scala.collection.immutable.List.foreach(List.scala:318) {quote} {quote}SELECT * FROM testData LEFT SEMI JOIN testData2 ON key = a{quote} is correct, {quote} SELECT a FROM testData LEFT SEMI JOIN testData2 ON key = a SELECT max(value) FROM testData LEFT SEMI JOIN testData2 ON key = a group by b SELECT max(value) FROM testData LEFT SEMI JOIN testData2 ON key = testData2.a group by testData2.b SELECT testData2.b, count(testData2.b) FROM testData LEFT SEMI JOIN testData2 ON key = testData2.a group by testData2.b {quote} are incorrect.

    Apache's JIRA Issue Tracker | 2 years ago | Zhichao Zhang
    org.apache.spark.sql.AnalysisException: cannot resolve 'testData2.b' given input columns key, value; line 1 pos 108
  6. 0

    My code: {quote} case class TestData(key: Int, value: String) case class TestData2(a: Int, b: Int) import org.apache.spark.sql.execution.joins._ import sqlContext.implicits._ val testData = sc.parallelize( (1 to 100).map(i => TestData(i, i.toString))).toDF() testData.registerTempTable("testData") val testData2 = sc.parallelize( TestData2(1, 1) :: TestData2(1, 2) :: TestData2(2, 1) :: TestData2(2, 2) :: TestData2(3, 1) :: TestData2(3, 2) :: Nil, 2).toDF() testData2.registerTempTable("testData2") //val tmp = sqlContext.sql("SELECT * FROM testData *LEFT SEMI JOIN* testData2 ON key = a ") val tmp = sqlContext.sql("SELECT testData2.b, count(testData2.b) FROM testData *LEFT SEMI JOIN* testData2 ON key = testData2.a group by testData2.b") tmp.explain() {quote} Error log: {quote} org.apache.spark.sql.AnalysisException: cannot resolve 'testData2.b' given input columns key, value; line 1 pos 108 at org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.failAnalysis(package.scala:42) at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$apply$3$$anonfun$apply$1.applyOrElse(CheckAnalysis.scala:48) at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$apply$3$$anonfun$apply$1.applyOrElse(CheckAnalysis.scala:45) at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:250) at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:250) at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:50) at org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:249) at org.apache.spark.sql.catalyst.plans.QueryPlan.org$apache$spark$sql$catalyst$plans$QueryPlan$$transformExpressionUp$1(QueryPlan.scala:103) at org.apache.spark.sql.catalyst.plans.QueryPlan$$anonfun$2$$anonfun$apply$2.apply(QueryPlan.scala:117) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244) at scala.collection.immutable.List.foreach(List.scala:318) {quote} {quote}SELECT * FROM testData LEFT SEMI JOIN testData2 ON key = a{quote} is correct, {quote} SELECT a FROM testData LEFT SEMI JOIN testData2 ON key = a SELECT max(value) FROM testData LEFT SEMI JOIN testData2 ON key = a group by b SELECT max(value) FROM testData LEFT SEMI JOIN testData2 ON key = testData2.a group by testData2.b SELECT testData2.b, count(testData2.b) FROM testData LEFT SEMI JOIN testData2 ON key = testData2.a group by testData2.b {quote} are incorrect.

    Apache's JIRA Issue Tracker | 2 years ago | Zhichao Zhang
    org.apache.spark.sql.AnalysisException: cannot resolve 'testData2.b' given input columns key, value; line 1 pos 108

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    Root Cause Analysis

    1. org.apache.spark.sql.AnalysisException

      Can't extract value from b#16;

      at org.apache.spark.sql.catalyst.expressions.ExtractValue$.apply()
    2. Spark Project Catalyst
      Analyzer$ResolveReferences$$anonfun$apply$10$$anonfun$applyOrElse$4.applyOrElse
      1. org.apache.spark.sql.catalyst.expressions.ExtractValue$.apply(complexTypeExtractors.scala:73)
      2. org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$$anonfun$apply$10$$anonfun$applyOrElse$4.applyOrElse(Analyzer.scala:475)
      2 frames