[jira] [Created] (SPARK-18527) UDAFPercentile (bigint, array) needs explicity cast to double

["Fabian Boehnlein (JIRA)" <ji...@apache.org>]

Fabian Boehnlein created SPARK-18527:
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             Summary: UDAFPercentile (bigint, array<double>) needs explicity cast to double
                 Key: SPARK-18527
                 URL: https://issues.apache.org/jira/browse/SPARK-18527
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 2.0.1, 2.0.0
         Environment: spark-2.0.1-bin-hadoop2.7/bin/spark-shell

            Reporter: Fabian Boehnlein


Same bug as SPARK-16228 but 
{code}_FUNC_(bigint, array<double>) {code}
instead of 
{code}_FUNC_(bigint, double){code}

Fix of SPARK-16228 only fixes the non-array case that was hit.

{code}
sql("select percentile(value, array(0.5,0.99)) from values 1,2,3 T(value)")
{code}
fails in Spark 2 shell.


Longer example
{code}
case class Record(key: Long, value: String)
val recordsDF = spark.createDataFrame((1 to 100).map(i => Record(i.toLong, s"val_$i")))

recordsDF.createOrReplaceTempView("records")
sql("SELECT percentile(key, Array(0.95, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1)) AS test FROM records")
org.apache.spark.sql.AnalysisException: No handler for Hive UDF 'org.apache.hadoop.hive.ql.udf.UDAFPercentile': org.apache.hadoop.hive.ql.exec.NoMatchingMethodException: No matching method for class org.apache.had
oop.hive.ql.udf.UDAFPercentile with (bigint, array<decimal(38,18)>). Possible choices: _FUNC_(bigint, array<double>)  _FUNC_(bigint, double)  ; line 1 pos 7
  at org.apache.hadoop.hive.ql.exec.FunctionRegistry.getMethodInternal(FunctionRegistry.java:1164)
  at org.apache.hadoop.hive.ql.exec.DefaultUDAFEvaluatorResolver.getEvaluatorClass(DefaultUDAFEvaluatorResolver.java:83)
  at org.apache.hadoop.hive.ql.udf.generic.GenericUDAFBridge.getEvaluator(GenericUDAFBridge.java:56)
  at org.apache.hadoop.hive.ql.udf.generic.AbstractGenericUDAFResolver.getEvaluator(AbstractGenericUDAFResolver.java:47){code}



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