Hi Udara, Yes, this is a known issue / limitation in the current implementation. You would have to pass a dummy param because udf0 implementation was not available by the time we released.
Best On Jan 5, 2016 21:37, "Udara Rathnayake" <[email protected]> wrote: > Hi, > > When I try to call a UDF without any parameter, getting following > error[1]. Let's assume my UDF is convertDate(). But if I try the same with > a parameter like convertDate(null) it works. > > Any Idea? Noticed that we have TimeNowUDF[2] sample, do we need to use " > now(null)" within a spark query? > > > [1] > > TID: [-1] [] [2016-01-05 10:45:51,744] ERROR > {org.wso2.carbon.ntask.core.impl.TaskQuartzJobAdapter} - Error in > executing task: > org.apache.spark.sql.UDFRegistration$$anonfun$register$24$$anonfun$apply$1 > cannot be cast to scala.Function0 > {org.wso2.carbon.ntask.core.impl.TaskQuartzJobAdapter} > java.lang.ClassCastException: > org.apache.spark.sql.UDFRegistration$$anonfun$register$24$$anonfun$apply$1 > cannot be cast to scala.Function0 > at > org.apache.spark.sql.catalyst.expressions.ScalaUdf.<init>(ScalaUdf.scala:61) > at > org.apache.spark.sql.UDFRegistration$$anonfun$register$24.apply(UDFRegistration.scala:408) > at > org.apache.spark.sql.UDFRegistration$$anonfun$register$24.apply(UDFRegistration.scala:408) > at > org.apache.spark.sql.catalyst.analysis.SimpleFunctionRegistry.lookupFunction(FunctionRegistry.scala:57) > at > org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveFunctions$$anonfun$apply$13$$anonfun$applyOrElse$5.applyOrElse(Analyzer.scala:465) > at > org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveFunctions$$anonfun$apply$13$$anonfun$applyOrElse$5.applyOrElse(Analyzer.scala:463) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:222) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:222) > at > org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:51) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:221) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:242) > at scala.collection.Iterator$$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.transformChildrenDown(TreeNode.scala:272) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:227) > at org.apache.spark.sql.catalyst.plans.QueryPlan.org > $apache$spark$sql$catalyst$plans$QueryPlan$$transformExpressionDown$1(QueryPlan.scala:75) > at > org.apache.spark.sql.catalyst.plans.QueryPlan$$anonfun$1.apply(QueryPlan.scala:85) > at scala.collection.Iterator$$anon$11.next(Iterator.scala:328) > at scala.collection.Iterator$class.foreach(Iterator.scala:727) > at scala.collection.AbstractIterator.foreach(Iterator.scala:1157) > at > scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48) > at > scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103) > at > scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47) > at scala.collection.TraversableOnce$class.to > (TraversableOnce.scala:273) > at scala.collection.AbstractIterator.to(Iterator.scala:1157) > at > scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265) > at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157) > at > scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252) > at scala.collection.AbstractIterator.toArray(Iterator.scala:1157) > at > org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpressionsDown(QueryPlan.scala:94) > at > org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpressions(QueryPlan.scala:64) > at > org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveFunctions$$anonfun$apply$13.applyOrElse(Analyzer.scala:463) > at > org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveFunctions$$anonfun$apply$13.applyOrElse(Analyzer.scala:461) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:222) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:222) > at > org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:51) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:221) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:242) > at scala.collection.Iterator$$anon$11.next(Iterator.scala:328) > at scala.collection.Iterator$class.foreach(Iterator.scala:727) > at scala.collection.AbstractIterator.foreach(Iterator.scala:1157) > at > scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48) > at > scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103) > at > scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47) > at scala.collection.TraversableOnce$class.to > (TraversableOnce.scala:273) > at scala.collection.AbstractIterator.to(Iterator.scala:1157) > at > scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265) > at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157) > at > scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252) > at scala.collection.AbstractIterator.toArray(Iterator.scala:1157) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transformChildrenDown(TreeNode.scala:272) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:227) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:242) > at scala.collection.Iterator$$anon$11.next(Iterator.scala:328) > at scala.collection.Iterator$class.foreach(Iterator.scala:727) > at scala.collection.AbstractIterator.foreach(Iterator.scala:1157) > at > scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48) > at > scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103) > at > scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47) > at scala.collection.TraversableOnce$class.to > (TraversableOnce.scala:273) > at scala.collection.AbstractIterator.to(Iterator.scala:1157) > at > scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265) > at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157) > at > scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252) > at scala.collection.AbstractIterator.toArray(Iterator.scala:1157) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transformChildrenDown(TreeNode.scala:272) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:227) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transform(TreeNode.scala:212) > at > org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveFunctions$.apply(Analyzer.scala:461) > at > org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveFunctions$.apply(Analyzer.scala:460) > at > org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:61) > at > org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:59) > at > scala.collection.LinearSeqOptimized$class.foldLeft(LinearSeqOptimized.scala:111) > at scala.collection.immutable.List.foldLeft(List.scala:84) > at > org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:59) > at > org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:51) > at scala.collection.immutable.List.foreach(List.scala:318) > at > org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:51) > at > org.apache.spark.sql.SQLContext$QueryExecution.analyzed$lzycompute(SQLContext.scala:933) > at > org.apache.spark.sql.SQLContext$QueryExecution.analyzed(SQLContext.scala:933) > at > org.apache.spark.sql.SQLContext$QueryExecution.assertAnalyzed(SQLContext.scala:931) > at org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:131) > at org.apache.spark.sql.DataFrame$.apply(DataFrame.scala:51) > at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:755) > at > org.wso2.carbon.analytics.spark.core.internal.SparkAnalyticsExecutor.executeQueryLocal(SparkAnalyticsExecutor.java:710) > at > org.wso2.carbon.analytics.spark.core.internal.SparkAnalyticsExecutor.executeQuery(SparkAnalyticsExecutor.java:692) > at > org.wso2.carbon.analytics.spark.core.CarbonAnalyticsProcessorService.executeQuery(CarbonAnalyticsProcessorService.java:199) > at > org.wso2.carbon.analytics.spark.core.CarbonAnalyticsProcessorService.executeScript(CarbonAnalyticsProcessorService.java:149) > at > org.wso2.carbon.analytics.spark.core.AnalyticsTask.execute(AnalyticsTask.java:57) > at > org.wso2.carbon.ntask.core.impl.TaskQuartzJobAdapter.execute(TaskQuartzJobAdapter.java:67) > at org.quartz.core.JobRunShell.run(JobRunShell.java:213) > at > java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511) > at java.util.concurrent.FutureTask.run(FutureTask.java:266) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) > at java.lang.Thread.run(Thread.java:745) > > [2] > https://github.com/wso2/carbon-analytics/blob/master/components/analytics-processors/org.wso2.carbon.analytics.spark.core/src/main/java/org/wso2/carbon/analytics/spark/core/udf/defaults/TimeNowUDF.java > > -- > Regards, > UdaraR >
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