Re: [SQL] Is RANK function supposed to work in SparkSQL 1.1.0?
Ok thanks Michael. In general, what's the easy way to figure out what's already implemented? The exception I was getting was not really helpful here? Also, is there a roadmap document somewhere ? Thanks! P. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/SQL-Is-RANK-function-supposed-to-work-in-SparkSQL-1-1-0-tp16909p16942.html Sent from the Apache Spark User List mailing list archive at Nabble.com. - To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
Re: [SQL] Is RANK function supposed to work in SparkSQL 1.1.0?
No, analytic and window functions do not work yet. On Tue, Oct 21, 2014 at 3:00 AM, Pierre B < pierre.borckm...@realimpactanalytics.com> wrote: > Hi! > > The RANK function is available in hive since version 0.11. > When trying to use it in SparkSQL, I'm getting the following exception > (full > stacktrace below): > java.lang.ClassCastException: > org.apache.hadoop.hive.ql.udf.generic.GenericUDAFRank$RankBuffer cannot be > cast to > > org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator$AbstractAggregationBuffer > > Is this function supposed to be available? > > Thanks > > P. > > --- > > > java.lang.ClassCastException: > org.apache.hadoop.hive.ql.udf.generic.GenericUDAFRank$RankBuffer cannot be > cast to > > org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator$AbstractAggregationBuffer > at > org.apache.spark.sql.hive.HiveUdafFunction.(hiveUdfs.scala:334) > at > org.apache.spark.sql.hive.HiveGenericUdaf.newInstance(hiveUdfs.scala:233) > at > org.apache.spark.sql.hive.HiveGenericUdaf.newInstance(hiveUdfs.scala:207) > at > org.apache.spark.sql.execution.Aggregate.org > $apache$spark$sql$execution$Aggregate$$newAggregateBuffer(Aggregate.scala:97) > at > > org.apache.spark.sql.execution.Aggregate$$anonfun$execute$1$$anonfun$6.apply(Aggregate.scala:129) > at > > org.apache.spark.sql.execution.Aggregate$$anonfun$execute$1$$anonfun$6.apply(Aggregate.scala:128) > at org.apache.spark.rdd.RDD$$anonfun$13.apply(RDD.scala:596) > at org.apache.spark.rdd.RDD$$anonfun$13.apply(RDD.scala:596) > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:229) > at org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:229) > at > org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:62) > at org.apache.spark.scheduler.Task.run(Task.scala:54) > at > org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:177) > 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) > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/SQL-Is-RANK-function-supposed-to-work-in-SparkSQL-1-1-0-tp16909.html > Sent from the Apache Spark User List mailing list archive at Nabble.com. > > - > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org > For additional commands, e-mail: user-h...@spark.apache.org > >
[SQL] Is RANK function supposed to work in SparkSQL 1.1.0?
Hi! The RANK function is available in hive since version 0.11. When trying to use it in SparkSQL, I'm getting the following exception (full stacktrace below): java.lang.ClassCastException: org.apache.hadoop.hive.ql.udf.generic.GenericUDAFRank$RankBuffer cannot be cast to org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator$AbstractAggregationBuffer Is this function supposed to be available? Thanks P. --- java.lang.ClassCastException: org.apache.hadoop.hive.ql.udf.generic.GenericUDAFRank$RankBuffer cannot be cast to org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator$AbstractAggregationBuffer at org.apache.spark.sql.hive.HiveUdafFunction.(hiveUdfs.scala:334) at org.apache.spark.sql.hive.HiveGenericUdaf.newInstance(hiveUdfs.scala:233) at org.apache.spark.sql.hive.HiveGenericUdaf.newInstance(hiveUdfs.scala:207) at org.apache.spark.sql.execution.Aggregate.org$apache$spark$sql$execution$Aggregate$$newAggregateBuffer(Aggregate.scala:97) at org.apache.spark.sql.execution.Aggregate$$anonfun$execute$1$$anonfun$6.apply(Aggregate.scala:129) at org.apache.spark.sql.execution.Aggregate$$anonfun$execute$1$$anonfun$6.apply(Aggregate.scala:128) at org.apache.spark.rdd.RDD$$anonfun$13.apply(RDD.scala:596) at org.apache.spark.rdd.RDD$$anonfun$13.apply(RDD.scala:596) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262) at org.apache.spark.rdd.RDD.iterator(RDD.scala:229) at org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262) at org.apache.spark.rdd.RDD.iterator(RDD.scala:229) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:62) at org.apache.spark.scheduler.Task.run(Task.scala:54) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:177) 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) -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/SQL-Is-RANK-function-supposed-to-work-in-SparkSQL-1-1-0-tp16909.html Sent from the Apache Spark User List mailing list archive at Nabble.com. - To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
