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.<init>(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)
>
>
>
> --
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