[
https://issues.apache.org/jira/browse/FLINK-5803?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15899272#comment-15899272
]
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_r104628710
--- Diff:
flink-libraries/flink-table/src/main/scala/org/apache/flink/table/plan/nodes/datastream/DataStreamOverAggregate.scala
---
@@ -206,5 +164,36 @@ class DataStreamOverAggregate(
yield new CalcitePair[AggregateCall, String](aggregateCalls.get(i),
"w0$o" + i)
(overWindow, partitionKeys, namedAggregates)
}
+
+ private def aggOpName = {
+ val (
+ overWindow: Group,
+ partition: Array[Int],
+ namedAggregates: IndexedSeq[CalcitePair[AggregateCall, String]]
+ ) = genPartitionKeysAndNamedAggregates
+
+ s"over: (${
+ if (!partition.isEmpty) {
+ s"PARTITION BY: ${partitionToString(inputType, partition)}, "
+ } else {
+ ""
+ }
+ }ORDER BY: ${orderingToString(inputType,
overWindow.orderKeys.getFieldCollations)}, " +
+ s"${windowRange(overWindow)}, " +
+ s"select: (${
+ aggregationToString(
+ inputType,
+ getRowType,
+ namedAggregates)
+ }))"
+ }
+
+ private def windowRange(overWindow: Group): String = {
--- End diff --
Move to `OverAggregate`?
> 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).
--
This message was sent by Atlassian JIRA
(v6.3.15#6346)