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https://issues.apache.org/jira/browse/SPARK-11594?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15000151#comment-15000151
]
Herman van Hovell commented on SPARK-11594:
-------------------------------------------
Move to scala 2.10.5 fixed this.
> Cannot create UDAF in REPL
> --------------------------
>
> Key: SPARK-11594
> URL: https://issues.apache.org/jira/browse/SPARK-11594
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.5.1, 1.6.0
> Environment: Latest Spark Master
> JVM 1.8.0_66-b17
> Reporter: Herman van Hovell
> Priority: Minor
>
> If you try to define the a UDAF in the REPL, an internal error is thrown by
> Java. The following code for example:
> {noformat}
> import org.apache.spark.sql.Row
> import org.apache.spark.sql.types.{DataType, LongType, StructType}
> import org.apache.spark.sql.expressions.{MutableAggregationBuffer,
> UserDefinedAggregateFunction}
> class LongProductSum extends UserDefinedAggregateFunction {
> def inputSchema: StructType = new StructType()
> .add("a", LongType)
> .add("b", LongType)
> def bufferSchema: StructType = new StructType()
> .add("product", LongType)
> def dataType: DataType = LongType
> def deterministic: Boolean = true
> def initialize(buffer: MutableAggregationBuffer): Unit = {
> buffer(0) = 0L
> }
> def update(buffer: MutableAggregationBuffer, input: Row): Unit = {
> if (!(input.isNullAt(0) || input.isNullAt(1))) {
> buffer(0) = buffer.getLong(0) + input.getLong(0) * input.getLong(1)
> }
> }
> def merge(buffer1: MutableAggregationBuffer, buffer2: Row): Unit = {
> buffer1(0) = buffer1.getLong(0) + buffer2.getLong(0)
> }
> def evaluate(buffer: Row): Any =
> buffer.getLong(0)
> }
> sqlContext.udf.register("longProductSum", new LongProductSum)
> val data2 = Seq[(Integer, Integer, Integer)](
> (1, 10, -10),
> (null, -60, 60),
> (1, 30, -30),
> (1, 30, 30),
> (2, 1, 1),
> (3, null, null)).toDF("key", "value1", "value2")
> data2.registerTempTable("agg2")
> val q = sqlContext.sql("""
> |SELECT
> | key,
> | count(distinct value1, value2),
> | longProductSum(distinct value1, value2)
> |FROM agg2
> |GROUP BY key
> """.stripMargin)
> q.show
> {noformat}
> Will throw the following error:
> {noformat}
> java.lang.InternalError: Malformed class name
> at java.lang.Class.getSimpleName(Class.java:1330)
> at
> org.apache.spark.sql.execution.aggregate.ScalaUDAF.toString(udaf.scala:455)
> at
> org.apache.spark.sql.execution.SparkStrategies$Aggregation$$anonfun$9.apply(SparkStrategies.scala:211)
> at
> org.apache.spark.sql.execution.SparkStrategies$Aggregation$$anonfun$9.apply(SparkStrategies.scala:209)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
> at
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
> at scala.collection.AbstractTraversable.map(Traversable.scala:105)
> at
> org.apache.spark.sql.execution.SparkStrategies$Aggregation$.apply(SparkStrategies.scala:209)
> at
> org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
> at
> org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
> at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
> at
> org.apache.spark.sql.catalyst.planning.QueryPlanner.plan(QueryPlanner.scala:59)
> at
> org.apache.spark.sql.catalyst.planning.QueryPlanner.planLater(QueryPlanner.scala:54)
> at
> org.apache.spark.sql.execution.SparkStrategies$BasicOperators$.apply(SparkStrategies.scala:445)
> at
> org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
> at
> org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
> at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
> at
> org.apache.spark.sql.catalyst.planning.QueryPlanner.plan(QueryPlanner.scala:59)
> at
> org.apache.spark.sql.execution.QueryExecution.sparkPlan$lzycompute(QueryExecution.scala:51)
> at
> org.apache.spark.sql.execution.QueryExecution.sparkPlan(QueryExecution.scala:49)
> at
> org.apache.spark.sql.execution.QueryExecution.executedPlan$lzycompute(QueryExecution.scala:56)
> at
> org.apache.spark.sql.execution.QueryExecution.executedPlan(QueryExecution.scala:56)
> at org.apache.spark.sql.DataFrame.withCallback(DataFrame.scala:2092)
> at org.apache.spark.sql.DataFrame.head(DataFrame.scala:1419)
> at org.apache.spark.sql.DataFrame.take(DataFrame.scala:1488)
> at org.apache.spark.sql.DataFrame.showString(DataFrame.scala:171)
> at org.apache.spark.sql.DataFrame.show(DataFrame.scala:404)
> at org.apache.spark.sql.DataFrame.show(DataFrame.scala:365)
> at org.apache.spark.sql.DataFrame.show(DataFrame.scala:373)
> at .<init>(<console>:52)
> at .<clinit>(<console>)
> at .<init>(<console>:7)
> at .<clinit>(<console>)
> at $print(<console>)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:497)
> at scala.tools.nsc.interpreter.IMain$ReadEvalPrint.call(IMain.scala:734)
> at scala.tools.nsc.interpreter.IMain$Request.loadAndRun(IMain.scala:983)
> at scala.tools.nsc.interpreter.IMain.loadAndRunReq$1(IMain.scala:573)
> at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:604)
> at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:568)
> at scala.tools.nsc.interpreter.ILoop.reallyInterpret$1(ILoop.scala:760)
> at
> scala.tools.nsc.interpreter.ILoop.interpretStartingWith(ILoop.scala:805)
> at scala.tools.nsc.interpreter.ILoop.command(ILoop.scala:717)
> at scala.tools.nsc.interpreter.ILoop.processLine$1(ILoop.scala:581)
> at scala.tools.nsc.interpreter.ILoop.innerLoop$1(ILoop.scala:588)
> at scala.tools.nsc.interpreter.ILoop.loop(ILoop.scala:591)
> at
> scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply$mcZ$sp(ILoop.scala:882)
> at
> scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply(ILoop.scala:837)
> at
> scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply(ILoop.scala:837)
> at
> scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
> at scala.tools.nsc.interpreter.ILoop.process(ILoop.scala:837)
> at scala.tools.nsc.interpreter.ILoop.main(ILoop.scala:904)
> at xsbt.ConsoleInterface.run(ConsoleInterface.scala:62)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:497)
> at sbt.compiler.AnalyzingCompiler.call(AnalyzingCompiler.scala:101)
> at sbt.compiler.AnalyzingCompiler.console(AnalyzingCompiler.scala:76)
> at sbt.Console.sbt$Console$$console0$1(Console.scala:22)
> at
> sbt.Console$$anonfun$apply$2$$anonfun$apply$1.apply$mcV$sp(Console.scala:23)
> at sbt.Console$$anonfun$apply$2$$anonfun$apply$1.apply(Console.scala:23)
> at sbt.Console$$anonfun$apply$2$$anonfun$apply$1.apply(Console.scala:23)
> at sbt.Logger$$anon$4.apply(Logger.scala:85)
> at sbt.TrapExit$App.run(TrapExit.scala:248)
> at java.lang.Thread.run(Thread.java:745)
> {noformat}
> Seems like my JVM (1.8.0_66-b17) does not like REPL created classes.
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