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https://issues.apache.org/jira/browse/FLINK-5803?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15882988#comment-15882988
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ASF GitHub Bot commented on FLINK-5803:
---------------------------------------
Github user fhueske commented on a diff in the pull request:
https://github.com/apache/flink/pull/3397#discussion_r102942696
--- Diff:
flink-libraries/flink-table/src/main/scala/org/apache/flink/table/runtime/aggregate/AggregateUtil.scala
---
@@ -54,41 +55,80 @@ object AggregateUtil {
* organized by the following format:
*
* {{{
- * avg(x) aggOffsetInRow = 2 count(z)
aggOffsetInRow = 5
- * | |
- * v v
- * +---------+---------+--------+--------+--------+--------+
- * |groupKey1|groupKey2| sum1 | count1 | sum2 | count2 |
- * +---------+---------+--------+--------+--------+--------+
- * ^
- * |
- * sum(y) aggOffsetInRow = 4
+ * avg(x) aggOffsetInRow = 2 count(z)
aggOffsetInRow = 5
+ * | |
+ * v v
+ * +----------+------------+--------+--------+--------+--------+
+ * |projection1|projection2| sum1 | count1 | sum2 | count2 |
+ * +----------+------------+--------+--------+--------+--------+
+ * ^
+ * |
+ * sum(y) aggOffsetInRow = 4
* }}}
*
*/
private[flink] def createPrepareMapFunction(
- namedAggregates: Seq[CalcitePair[AggregateCall, String]],
- groupings: Array[Int],
- inputType: RelDataType)
- : MapFunction[Row, Row] = {
+ namedAggregates: Seq[CalcitePair[AggregateCall, String]],
+ projectionsExceptAggregates: Array[Int],
--- End diff --
rename to `forwardedFields`?
> Add [partitioned] processing time OVER RANGE BETWEEN UNBOUNDED PRECEDING
> aggregation to SQL
> -------------------------------------------------------------------------------------------
>
> Key: FLINK-5803
> URL: https://issues.apache.org/jira/browse/FLINK-5803
> Project: Flink
> Issue Type: Sub-task
> Components: Table API & SQL
> Reporter: sunjincheng
> Assignee: sunjincheng
>
> The goal of this issue is to add support for OVER RANGE 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() RANGE BETWEEN UNBOUNDED
> PRECEDING AND CURRENT ROW) AS sumB,
> MIN(b) OVER (PARTITION BY c ORDER BY procTime() RANGE BETWEEN UNBOUNDED
> 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 ORDER BY clause may only have procTime() as parameter. procTime() is a
> parameterless scalar function that just indicates processing time mode.
> - bounded PRECEDING is not supported (see FLINK-5654)
> - 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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