[
https://issues.apache.org/jira/browse/FLINK-5803?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15882985#comment-15882985
]
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_r102937926
--- Diff:
flink-libraries/flink-table/src/test/scala/org/apache/flink/table/api/scala/stream/sql/SqlITCase.scala
---
@@ -171,4 +183,79 @@ class SqlITCase extends
StreamingMultipleProgramsTestBase {
val expected = mutable.MutableList("Hello", "Hello world")
assertEquals(expected.sorted, StreamITCase.testResults.sorted)
}
+
+ @Test
+ def testUnboundPartitionedProcessingWindowWithRange(): Unit = {
+ val env = StreamExecutionEnvironment.getExecutionEnvironment
+ val tEnv = TableEnvironment.getTableEnvironment(env)
+ StreamITCase.testResults = mutable.MutableList()
+
+ val t1 = env.fromCollection(data).toTable(tEnv).as('a, 'b, 'c)
+
+ tEnv.registerTable("T1", t1)
+
+ //TODO ORDER BY will be fixed, once FLINK-5710 is solved
+ tEnv.registerFunction("ProcTime", ProcTime)
+ val sqlQuery = "SELECT c, count(a) OVER (PARTITION BY c ORDER BY
ProcTime() RANGE " +
+ "UNBOUNDED " +
+ "preceding) as firstCount, count(a) OVER (PARTITION BY c ORDER BY
ProcTime() RANGE UNBOUNDED" +
+ " preceding) as secondCount from T1"
+
+ val result = tEnv.sql(sqlQuery).toDataStream[Row]
+ result.addSink(new StreamITCase.StringSink)
+ env.execute()
+
+ val expected = mutable.MutableList(
+ "Hello World,1,1", "Hello World,2,2", "Hello World,3,3",
+ "Hello,1,1", "Hello,2,2", "Hello,3,3", "Hello,4,4", "Hello,5,5",
"Hello,6,6")
+ assertEquals(expected.sorted, StreamITCase.testResults.sorted)
+ }
+
+ @Test
+ def testUnboundPartitionedProcessingWindowWithRow(): Unit = {
+ val env = StreamExecutionEnvironment.getExecutionEnvironment
+ val tEnv = TableEnvironment.getTableEnvironment(env)
+ StreamITCase.testResults = mutable.MutableList()
+
+ val t1 = env.fromCollection(data).toTable(tEnv).as('a, 'b, 'c)
+
+ tEnv.registerTable("T1", t1)
+
+ val sqlQuery = "SELECT c, count(a) OVER (PARTITION BY c ROWS BETWEEN
UNBOUNDED preceding " +
+ "AND CURRENT ROW) as firstCount from T1"
+
+ val result = tEnv.sql(sqlQuery).toDataStream[Row]
+ result.addSink(new StreamITCase.StringSink)
+ env.execute()
+
+ val expected = mutable.MutableList(
+ "Hello World,1", "Hello World,2", "Hello World,3",
+ "Hello,1", "Hello,2", "Hello,3", "Hello,4", "Hello,5", "Hello,6")
+ assertEquals(expected.sorted, StreamITCase.testResults.sorted)
+ }
+
+ @Test(expected = classOf[UnsupportedOperationException])
--- End diff --
Please add a comment why this test is expected to fail.
> 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).
--
This message was sent by Atlassian JIRA
(v6.3.15#6346)
