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https://issues.apache.org/jira/browse/FLINK-5653?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15933452#comment-15933452
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ASF GitHub Bot commented on FLINK-5653:
---------------------------------------
Github user fhueske commented on a diff in the pull request:
https://github.com/apache/flink/pull/3574#discussion_r106996212
--- Diff:
flink-libraries/flink-table/src/test/scala/org/apache/flink/table/api/scala/stream/sql/SqlITCase.scala
---
@@ -317,4 +317,465 @@ class SqlITCase extends StreamingWithStateTestBase {
result.addSink(new StreamITCase.StringSink)
env.execute()
}
+
+ /**
+ *
+ * //////////////////////////////////////////////////////
+ * START TESTING BOUNDED PROC TIME ROW AGGREGATIO
+ * //////////////////////////////////////////////////////
+ *
+ */
+
+ @Test
+ def testUnpartitionedMaxAggregatation(): Unit = {
--- End diff --
Many of these tests test the same feature with different aggregation
functions.
Since the aggregation functions are separately tested, I'd suggest to
restrict the tests to four different configurations of OVER windows:
1. multiple aggregations, partitioned, 2 rows preceding
2. multiple aggregations, partitioned, 4 rows preceding
3. multiple aggregations, non-partitioned, 2 rows preceding
4. multiple aggregations, non-partitioned, 10 rows preceding
This should give us good coverage of the feature.
> Add processing time OVER ROWS BETWEEN x PRECEDING aggregation to SQL
> --------------------------------------------------------------------
>
> Key: FLINK-5653
> URL: https://issues.apache.org/jira/browse/FLINK-5653
> Project: Flink
> Issue Type: Sub-task
> Components: Table API & SQL
> Reporter: Fabian Hueske
> Assignee: Stefano Bortoli
>
> The goal of this issue is to add support for OVER ROWS aggregations on
> processing time streams to the SQL interface.
> Queries similar to the following should be supported:
> {code}
> SELECT
> a,
> SUM(b) OVER (PARTITION BY c ORDER BY procTime() ROWS BETWEEN 2 PRECEDING
> AND CURRENT ROW) AS sumB,
> MIN(b) OVER (PARTITION BY c ORDER BY procTime() ROWS BETWEEN 2 PRECEDING
> AND CURRENT ROW) AS minB
> FROM myStream
> {code}
> The following restrictions should initially apply:
> - All OVER clauses in the same SELECT clause must be exactly the same.
> - The PARTITION BY clause is optional (no partitioning results in single
> threaded execution).
> - The ORDER BY clause may only have procTime() as parameter. procTime() is a
> parameterless scalar function that just indicates processing time mode.
> - UNBOUNDED PRECEDING is not supported (see FLINK-5656)
> - FOLLOWING is not supported.
> The restrictions will be resolved in follow up issues. If we find that some
> of the restrictions are trivial to address, we can add the functionality in
> this issue as well.
> This issue includes:
> - Design of the DataStream operator to compute OVER ROW aggregates
> - Translation from Calcite's RelNode representation (LogicalProject with
> RexOver expression).
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