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https://issues.apache.org/jira/browse/FLINK-7371?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16188843#comment-16188843
]
ASF GitHub Bot commented on FLINK-7371:
---------------------------------------
Github user fhueske commented on a diff in the pull request:
https://github.com/apache/flink/pull/4736#discussion_r142254410
--- Diff:
flink-libraries/flink-table/src/test/scala/org/apache/flink/table/runtime/stream/table/OverWindowITCase.scala
---
@@ -85,6 +85,46 @@ class OverWindowITCase extends
StreamingWithStateTestBase {
}
@Test
+ def testOverWindowWithConstant(): Unit = {
+
+ val data = List(
+ (1L, 1, "Hello"),
+ (2L, 2, "Hello"),
+ (3L, 3, "Hello"),
+ (4L, 4, "Hello"),
+ (5L, 5, "Hello"),
+ (6L, 6, "Hello"),
+ (7L, 7, "Hello World"),
+ (8L, 8, "Hello World"),
+ (8L, 8, "Hello World"),
+ (20L, 20, "Hello World"))
+
+ val env = StreamExecutionEnvironment.getExecutionEnvironment
+ env.setParallelism(1)
+ val tEnv = TableEnvironment.getTableEnvironment(env)
+ StreamITCase.testResults = mutable.MutableList()
+ StreamITCase.clear
+ val stream = env.fromCollection(data)
+ val table = stream.toTable(tEnv, 'a, 'b, 'c, 'proctime.proctime)
+ val weightAvgFun = new WeightedAvg
+
+ val windowedTable = table
+ .window(
+ Over partitionBy 'c orderBy 'proctime preceding UNBOUNDED_ROW as
'w)
+ .select('c, weightAvgFun('a, 42, 'b, "2") over 'w as 'wAvg)
+ .select('c, 'wAvg)
--- End diff --
can be removed
> 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
>
> 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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