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https://issues.apache.org/jira/browse/FLINK-6584?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16069797#comment-16069797
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ASF GitHub Bot commented on FLINK-6584:
---------------------------------------
Github user twalthr commented on a diff in the pull request:
https://github.com/apache/flink/pull/4199#discussion_r125002758
--- Diff:
flink-libraries/flink-table/src/main/scala/org/apache/flink/table/calcite/RelTimeIndicatorConverter.scala
---
@@ -349,6 +350,14 @@ class RelTimeIndicatorConverter(rexBuilder:
RexBuilder) extends RelShuttle {
isTimeIndicatorType(updatedCall.getOperands.get(0).getType) =>
updatedCall
+ case BasicOperatorTable.TUMBLE_ROWTIME |
+ BasicOperatorTable.TUMBLE_PROCTIME |
+ BasicOperatorTable.HOP_ROWTIME |
+ BasicOperatorTable.HOP_PROCTIME |
+ BasicOperatorTable.SESSION_ROWTIME |
+ BasicOperatorTable.SESSION_PROCTIME if
isTimeIndicatorType(updatedCall.getType) =>
+ updatedCall
--- End diff --
I thought about this again, I think we have to use this approach. Because
the operands are always materialized, because of the shape of the relational
tree (groupings are always materialized which is correct).
> Support multiple consecutive windows in SQL
> -------------------------------------------
>
> Key: FLINK-6584
> URL: https://issues.apache.org/jira/browse/FLINK-6584
> Project: Flink
> Issue Type: New Feature
> Components: Table API & SQL
> Reporter: Timo Walther
> Assignee: Timo Walther
>
> Right now, the Table API supports multiple consecutive windows as follows:
> {code}
> val table = stream.toTable(tEnv, 'rowtime.rowtime, 'int, 'double, 'float,
> 'bigdec, 'string)
> val t = table
> .window(Tumble over 2.millis on 'rowtime as 'w)
> .groupBy('w)
> .select('w.rowtime as 'rowtime, 'int.count as 'int)
> .window(Tumble over 4.millis on 'rowtime as 'w2)
> .groupBy('w2)
> .select('w2.rowtime, 'w2.end, 'int.count)
> {code}
> Similar behavior should be supported by the SQL API as well. We need to
> introduce a new auxiliary group function, but this should happen in sync with
> Apache Calcite.
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