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https://issues.apache.org/jira/browse/FLINK-6584?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16065186#comment-16065186
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ASF GitHub Bot commented on FLINK-6584:
---------------------------------------
Github user sunjincheng121 commented on a diff in the pull request:
https://github.com/apache/flink/pull/4199#discussion_r124335359
--- Diff:
flink-libraries/flink-table/src/main/scala/org/apache/flink/table/runtime/functions/MathFunctions.scala
---
@@ -16,7 +16,7 @@
* limitations under the License.
*/
-package org.apache.flink.table.functions.utils
+package org.apache.flink.table.runtime.functions
--- End diff --
I suggest `MathFunctions`->`ScalarFunctions`. so that we can add all scalar
functions in one file. and in the `...runtime.functions` package we have three
file `ScalarFunctions`,`TableFunctions` and `AggFunctions`.Which in FLINK-6810
plan to do. What do you think?
> 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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