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https://issues.apache.org/jira/browse/FLINK-7371?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16206093#comment-16206093
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ASF GitHub Bot commented on FLINK-7371:
---------------------------------------
Github user asfgit closed the pull request at:
https://github.com/apache/flink/pull/4736
> user defined aggregator assumes nr of arguments smaller or equal than number
> of row fields
> ------------------------------------------------------------------------------------------
>
> Key: FLINK-7371
> URL: https://issues.apache.org/jira/browse/FLINK-7371
> Project: Flink
> Issue Type: Bug
> Components: Table API & SQL
> Affects Versions: 1.3.1
> Reporter: Stefano Bortoli
> Assignee: Timo Walther
> Priority: Blocker
> Fix For: 1.4.0
>
>
> The definition of user define aggregations with a number of parameters larger
> than the row fields causes ArrayIndexOutOfBoundsException because the
> indexing is based on a linear iteration over row fields. This does not
> consider cases where fields can be used more than once and constant values
> are passed to the aggregation function.
> for example:
> {code}
> window(partition {} order by [2] rows between $5 PRECEDING and CURRENT ROW
> aggs [myAgg($0, $1, $3, $0, $4)])
> {code}
> where $3 and $4 are reference to constants, and $0 and $1 are fields causes:
> {code}
> java.lang.ArrayIndexOutOfBoundsException: 4
> at
> org.apache.flink.table.plan.schema.RowSchema.mapIndex(RowSchema.scala:134)
> at
> org.apache.flink.table.plan.schema.RowSchema$$anonfun$mapAggregateCall$1.apply(RowSchema.scala:147)
> at
> org.apache.flink.table.plan.schema.RowSchema$$anonfun$mapAggregateCall$1.apply(RowSchema.scala:147)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
> at scala.collection.AbstractTraversable.map(Traversable.scala:105)
> at
> org.apache.flink.table.plan.schema.RowSchema.mapAggregateCall(RowSchema.scala:147)
> at
> org.apache.flink.table.plan.nodes.datastream.DataStreamOverAggregate$$anonfun$9.apply(DataStreamOverAggregate.scala:362)
> {code}
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