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https://issues.apache.org/jira/browse/FLINK-5803?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15899273#comment-15899273
]
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_r104628040
--- Diff:
flink-libraries/flink-table/src/main/scala/org/apache/flink/table/plan/nodes/datastream/DataStreamOverAggregate.scala
---
@@ -63,50 +62,28 @@ class DataStreamOverAggregate(
}
override def toString: String = {
- val (
- overWindow: Group,
- partitionKeys: Array[Int],
- namedAggregates: IndexedSeq[CalcitePair[AggregateCall, String]]
- ) = genPartitionKeysAndNamedAggregates
-
- s"Aggregate(${
- if (!partitionKeys.isEmpty) {
- s"partitionBy: (${groupingToString(inputType, partitionKeys)}), "
- } else {
- ""
- }
- }window: ($overWindow), " +
- s"select: (${
- aggregationToString(
- inputType,
- partitionKeys,
- getRowType,
- namedAggregates,
- Seq())
- }))"
+ s"OverAggregate(${aggOpName})"
}
override def explainTerms(pw: RelWriter): RelWriter = {
val (
overWindow: Group,
- partitionKeys: Array[Int],
+ partition: Array[Int],
namedAggregates: IndexedSeq[CalcitePair[AggregateCall, String]]
) = genPartitionKeysAndNamedAggregates
super.explainTerms(pw)
- .itemIf("partitionBy", groupingToString(inputType, partitionKeys),
!partitionKeys.isEmpty)
- .item("overWindow", overWindow)
+ .itemIf("partitionBy", partitionToString(inputType, partition),
partition.nonEmpty)
+ .item("orderBy",orderingToString(inputType,
overWindow.orderKeys.getFieldCollations))
+ .item("range", windowRange(overWindow))
--- End diff --
```
.itemIf("rows", windowRange(overWindow), overWindow.isRows)
.itemIf("range", windowRange(overWindow), !overWindow.isRows)
```
> 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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