Github user fhueske commented on a diff in the pull request:
https://github.com/apache/flink/pull/3397#discussion_r102985650
--- 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 " +
--- End diff --
Since it is a valid SQL query it is accepted. We should make sure though
that only `ORDER BY proctime()` is allowed. However, that's a bit difficult
right now, because the information is split across Calc and Window. With a
ProcTimeType we can check the field type of the input of Window.
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