[
https://issues.apache.org/jira/browse/SPARK-14171?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sean Owen resolved SPARK-14171.
-------------------------------
Resolution: Duplicate
Fix Version/s: (was: 2.1.0)
> UDAF aggregates argument object inspector not parsed correctly
> --------------------------------------------------------------
>
> Key: SPARK-14171
> URL: https://issues.apache.org/jira/browse/SPARK-14171
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.6.1
> Reporter: Jianfeng Hu
> Priority: Critical
>
> For example, when using percentile_approx and count distinct together, it
> raises an error complaining the argument is not constant. We have a test case
> to reproduce. Could you help look into a fix of this? This was working in
> previous version (Spark 1.4 + Hive 0.13). Thanks!
> {code}---
> a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveUDFSuite.scala
> +++
> b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveUDFSuite.scala
> @@ -148,6 +148,9 @@ class HiveUDFSuite extends QueryTest with
> TestHiveSingleton with SQLTestUtils {
> checkAnswer(sql("SELECT percentile_approx(100.0, array(0.9, 0.9)) FROM
> src LIMIT 1"),
> sql("SELECT array(100, 100) FROM src LIMIT 1").collect().toSeq)
> +
> + checkAnswer(sql("SELECT percentile_approx(key, 0.99999), count(distinct
> key) FROM src LIMIT 1"),
> + sql("SELECT max(key), 1 FROM src LIMIT 1").collect().toSeq)
> }
> test("UDFIntegerToString") {
> {code}
> When running the test suite, we can see this error:
> {code}
> - Generic UDAF aggregates *** FAILED ***
> org.apache.spark.sql.catalyst.errors.package$TreeNodeException: makeCopy,
> tree:
> hiveudaffunction(HiveFunctionWrapper(org.apache.hadoop.hive.ql.udf.generic.GenericUDAFPercentileApprox,org.apache.hadoop.hive.ql.udf.generic.GenericUDAFPercentileApprox@6e1dc6a7),key#51176,0.99999,false,0,0)
> at
> org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:49)
> at org.apache.spark.sql.catalyst.trees.TreeNode.makeCopy(TreeNode.scala:357)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.withNewChildren(TreeNode.scala:238)
> at
> org.apache.spark.sql.catalyst.analysis.DistinctAggregationRewriter.org$apache$spark$sql$catalyst$analysis$DistinctAggregationRewriter$$patchAggregateFunctionChildren$1(DistinctAggregationRewriter.scala:148)
> at
> org.apache.spark.sql.catalyst.analysis.DistinctAggregationRewriter$$anonfun$15.apply(DistinctAggregationRewriter.scala:192)
> at
> org.apache.spark.sql.catalyst.analysis.DistinctAggregationRewriter$$anonfun$15.apply(DistinctAggregationRewriter.scala:190)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
> at
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
> ...
> Cause: java.lang.reflect.InvocationTargetException:
> at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
> at
> sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57)
> at
> sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
> at java.lang.reflect.Constructor.newInstance(Constructor.java:526)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$makeCopy$1$$anonfun$apply$12.apply(TreeNode.scala:368)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$makeCopy$1$$anonfun$apply$12.apply(TreeNode.scala:367)
> at
> org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:69)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$makeCopy$1.apply(TreeNode.scala:365)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$makeCopy$1.apply(TreeNode.scala:357)
> at
> org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:48)
> ...
> Cause: org.apache.hadoop.hive.ql.exec.UDFArgumentTypeException: The second
> argument must be a constant, but double was passed instead.
> at
> org.apache.hadoop.hive.ql.udf.generic.GenericUDAFPercentileApprox.getEvaluator(GenericUDAFPercentileApprox.java:147)
> at
> org.apache.spark.sql.hive.HiveUDAFFunction.functionAndInspector$lzycompute(hiveUDFs.scala:598)
> at
> org.apache.spark.sql.hive.HiveUDAFFunction.functionAndInspector(hiveUDFs.scala:596)
> at
> org.apache.spark.sql.hive.HiveUDAFFunction.returnInspector$lzycompute(hiveUDFs.scala:606)
> at
> org.apache.spark.sql.hive.HiveUDAFFunction.returnInspector(hiveUDFs.scala:606)
> at org.apache.spark.sql.hive.HiveUDAFFunction.<init>(hiveUDFs.scala:654)
> at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
> at
> sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57)
> at
> sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
> at java.lang.reflect.Constructor.newInstance(Constructor.java:526)
> ...
> {code}
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