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https://issues.apache.org/jira/browse/FLINK-5653?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15946914#comment-15946914
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ASF GitHub Bot commented on FLINK-5653:
---------------------------------------
Github user sunjincheng121 commented on a diff in the pull request:
https://github.com/apache/flink/pull/3574#discussion_r108644799
--- Diff:
flink-libraries/flink-table/src/test/scala/org/apache/flink/table/api/scala/stream/sql/WindowAggregateTest.scala
---
@@ -350,4 +350,59 @@ class WindowAggregateTest extends TableTestBase {
streamUtil.verifySql(sql, expected)
}
+ @Test
+ def testBoundedNonPartitionedProcessingWindowWithRow() = {
+ val sql = "SELECT " +
+ "c, " +
+ "count(a) OVER (ORDER BY procTime() ROWS BETWEEN 2 preceding AND " +
+ "CURRENT ROW) as cnt1 " +
+ "from MyTable"
+
+ val expected =
+ unaryNode(
+ "DataStreamCalc",
+ unaryNode(
+ "DataStreamOverAggregate",
+ unaryNode(
+ "DataStreamCalc",
+ streamTableNode(0),
+ term("select", "a", "c", "PROCTIME() AS $2")
+ ),
+ term("orderBy", "PROCTIME"),
+ term("rows", "BETWEEN 2 PRECEDING AND CURRENT ROW"),
+ term("select", "a", "c", "PROCTIME", "COUNT(a) AS w0$o0")
+ ),
+ term("select", "c", "w0$o0 AS $1")
+ )
+ streamUtil.verifySql(sql, expected)
+ }
+
+ @Test
+ def testBoundedPartitionedProcessingWindowWithRow() = {
+ val sql = "SELECT " +
+ "c, " +
+ "count(a) OVER (PARTITION BY c ORDER BY procTime() ROWS BETWEEN 2
preceding AND " +
--- End diff --
It's Okay.
> Add processing time OVER ROWS BETWEEN x PRECEDING aggregation to SQL
> --------------------------------------------------------------------
>
> Key: FLINK-5653
> URL: https://issues.apache.org/jira/browse/FLINK-5653
> Project: Flink
> Issue Type: Sub-task
> Components: Table API & SQL
> Reporter: Fabian Hueske
> Assignee: Stefano Bortoli
>
> The goal of this issue is to add support for OVER ROWS 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() ROWS BETWEEN 2 PRECEDING
> AND CURRENT ROW) AS sumB,
> MIN(b) OVER (PARTITION BY c ORDER BY procTime() ROWS BETWEEN 2 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 procTime() as parameter. procTime() is a
> parameterless scalar function that just indicates processing time mode.
> - UNBOUNDED PRECEDING is not supported (see FLINK-5656)
> - 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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