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https://issues.apache.org/jira/browse/FLINK-5658?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15929635#comment-15929635
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ASF GitHub Bot commented on FLINK-5658:
---------------------------------------
Github user shijinkui commented on a diff in the pull request:
https://github.com/apache/flink/pull/3386#discussion_r106590402
--- Diff:
flink-libraries/flink-table/src/main/scala/org/apache/flink/table/runtime/aggregate/AggregateUtil.scala
---
@@ -91,6 +91,35 @@ object AggregateUtil {
}
/**
+ * Create an [[ProcessFunction]] to evaluate final aggregate value.
+ *
+ * @param namedAggregates List of calls to aggregate functions and
their output field names
+ * @param inputType Input row type
+ * @return [[UnboundedProcessingOverProcessFunction]]
+ */
+ private[flink] def CreateUnboundedEventTimeOverProcessFunction(
+ namedAggregates: Seq[CalcitePair[AggregateCall, String]],
+ inputType: RelDataType): UnboundedEventTimeOverProcessFunction = {
+
+ val (aggFields, aggregates) =
+ transformToAggregateFunctions(
+ namedAggregates.map(_.getKey),
+ inputType,
+ needRetraction = false)
+
+ val aggregationStateType: RowTypeInfo =
--- End diff --
```
val aggregationStateType: RowTypeInfo =
createDataSetAggregateBufferDataType(Array(), aggregates, inputType)
```
This will be more readable.
> Add event time OVER RANGE BETWEEN UNBOUNDED PRECEDING aggregation to SQL
> ------------------------------------------------------------------------
>
> Key: FLINK-5658
> URL: https://issues.apache.org/jira/browse/FLINK-5658
> Project: Flink
> Issue Type: Sub-task
> Components: Table API & SQL
> Reporter: Fabian Hueske
> Assignee: Yuhong Hong
>
> The goal of this issue is to add support for OVER RANGE aggregations on event
> 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 rowTime() RANGE BETWEEN UNBOUNDED
> PRECEDING AND CURRENT ROW) AS sumB,
> MIN(b) OVER (PARTITION BY c ORDER BY rowTime() 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 PARTITION BY clause is optional (no partitioning results in single
> threaded execution).
> - The ORDER BY clause may only have rowTime() as parameter. rowTime() is a
> parameterless scalar function that just indicates processing time mode.
> - bounded PRECEDING is not supported (see FLINK-5655)
> - 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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