Now it doesn't support such query. I can easily reproduce it. Created a JIRA here: https://issues.apache.org/jira/browse/SPARK-4296
Best Regards, Shixiong Zhu 2014-11-07 16:44 GMT+08:00 Tridib Samanta <tridib.sama...@live.com>: > I am trying to group by on a calculated field. Is it supported on spark > sql? I am running it on a nested json structure. > > Query: SELECT YEAR(c.Patient.DOB), sum(c.ClaimPay.TotalPayAmnt) FROM claim > c group by YEAR(c.Patient.DOB) > > Spark Version: spark-1.2.0-SNAPSHOT wit Hive and hadoop 2.4. > Error: > > org.apache.spark.sql.catalyst.errors.package$TreeNodeException: Expression > not in GROUP BY: > HiveSimpleUdf#org.apache.hadoop.hive.ql.udf.UDFYear(Patient#8.DOB AS > DOB#191) AS c_0#185, tree: > Aggregate > [HiveSimpleUdf#org.apache.hadoop.hive.ql.udf.UDFYear(Patient#8.DOB)], > [HiveSimpleUdf#org.apache.hadoop.hive.ql.udf.UDFYear(Patient#8.DOB AS > DOB#191) AS c_0#185,SUM(CAST(ClaimPay#5.TotalPayAmnt AS TotalPayAmnt#192, > LongType)) AS c_1#186L] > Subquery c > Subquery claim > LogicalRDD > [AttendPhysician#0,BillProv#1,Claim#2,ClaimClinic#3,ClaimInfo#4,ClaimPay#5,ClaimTL#6,OpPhysician#7,Patient#8,PayToPhysician#9,Payer#10,Physician#11,RefProv#12,Services#13,Subscriber#14], > MappedRDD[5] at map at JsonRDD.scala:43 > at > org.apache.spark.sql.catalyst.analysis.Analyzer$CheckAggregation$$anonfun$apply$3$$anonfun$applyOrElse$6.apply(Analyzer.scala:127) > at > org.apache.spark.sql.catalyst.analysis.Analyzer$CheckAggregation$$anonfun$apply$3$$anonfun$applyOrElse$6.apply(Analyzer.scala:125) > at > scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) > at > scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) > at > org.apache.spark.sql.catalyst.analysis.Analyzer$CheckAggregation$$anonfun$apply$3.applyOrElse(Analyzer.scala:125) > at > org.apache.spark.sql.catalyst.analysis.Analyzer$CheckAggregation$$anonfun$apply$3.applyOrElse(Analyzer.scala:115) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:144) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transform(TreeNode.scala:135) > at > org.apache.spark.sql.catalyst.analysis.Analyzer$CheckAggregation$.apply(Analyzer.scala:115) > at > org.apache.spark.sql.catalyst.analysis.Analyzer$CheckAggregation$.apply(Analyzer.scala:113) > at > org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$apply$1$$anonfun$apply$2.apply(RuleExecutor.scala:61) > at > org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$apply$1$$anonfun$apply$2.apply(RuleExecutor.scala:59) > at > scala.collection.IndexedSeqOptimized$class.foldl(IndexedSeqOptimized.scala:51) > at > scala.collection.IndexedSeqOptimized$class.foldLeft(IndexedSeqOptimized.scala:60) > at > scala.collection.mutable.WrappedArray.foldLeft(WrappedArray.scala:34) > at > org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$apply$1.apply(RuleExecutor.scala:59) > at > org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$apply$1.apply(RuleExecutor.scala:51) > at scala.collection.immutable.List.foreach(List.scala:318) > at > org.apache.spark.sql.catalyst.rules.RuleExecutor.apply(RuleExecutor.scala:51) > at > org.apache.spark.sql.SQLContext$QueryExecution.analyzed$lzycompute(SQLContext.scala:411) > at > org.apache.spark.sql.SQLContext$QueryExecution.analyzed(SQLContext.scala:411) > at > org.apache.spark.sql.SQLContext$QueryExecution.withCachedData$lzycompute(SQLContext.scala:412) > at > org.apache.spark.sql.SQLContext$QueryExecution.withCachedData(SQLContext.scala:412) > at > org.apache.spark.sql.SQLContext$QueryExecution.optimizedPlan$lzycompute(SQLContext.scala:413) > at > org.apache.spark.sql.SQLContext$QueryExecution.optimizedPlan(SQLContext.scala:413) > at > org.apache.spark.sql.SQLContext$QueryExecution.sparkPlan$lzycompute(SQLContext.scala:418) > at > org.apache.spark.sql.SQLContext$QueryExecution.sparkPlan(SQLContext.scala:416) > at > org.apache.spark.sql.SQLContext$QueryExecution.executedPlan$lzycompute(SQLContext.scala:422) > at > org.apache.spark.sql.SQLContext$QueryExecution.executedPlan(SQLContext.scala:422) > at org.apache.spark.sql.SchemaRDD.collect(SchemaRDD.scala:423) > at $iwC$$iwC$$iwC$$iwC.<init>(<console>:17) > at $iwC$$iwC$$iwC.<init>(<console>:22) > at $iwC$$iwC.<init>(<console>:24) > at $iwC.<init>(<console>:26) > at <init>(<console>:28) > at .<init>(<console>:32) > at .<clinit>(<console>) > at .<init>(<console>:7) > at .<clinit>(<console>) > at $print(<console>) > at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) > at > sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) > at > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > at java.lang.reflect.Method.invoke(Method.java:606) > at > org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:852) > at > org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1125) > at > org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:674) > at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:705) > at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:669) > at > org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:828) > at > org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:873) > at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:785) > at > org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:628) > at > org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:636) > at org.apache.spark.repl.SparkILoop.loop(SparkILoop.scala:641) > at > org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply$mcZ$sp(SparkILoop.scala:968) > at > org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply(SparkILoop.scala:916) > at > org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply(SparkILoop.scala:916) > at > scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135) > at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:916) > at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1011) > at org.apache.spark.repl.Main$.main(Main.scala:31) > at org.apache.spark.repl.Main.main(Main.scala) > at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) > at > sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) > at > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > at java.lang.reflect.Method.invoke(Method.java:606) > at > org.apache.spark.deploy.SparkSubmit$.launch(SparkSubmit.scala:353) > at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:75) > at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) > > > Thanks & Regards > Tridib >
