Github user fhueske commented on a diff in the pull request:
https://github.com/apache/flink/pull/3574#discussion_r108378237
--- Diff:
flink-libraries/flink-table/src/test/scala/org/apache/flink/table/api/scala/stream/sql/WindowAggregateTest.scala
---
@@ -239,4 +239,61 @@ 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 $3 PRECEDING AND CURRENT ROW"),
+ term("select", "a", "c", "PROCTIME", "COUNT(a) AS w0$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 " +
+ "CURRENT ROW) as cnt1 " +
+ "from MyTable"
+
+ val expected =
+ unaryNode(
+ "DataStreamCalc",
+ unaryNode(
+ "DataStreamOverAggregate",
+ unaryNode(
+ "DataStreamCalc",
+ streamTableNode(0),
+ term("select", "a", "c", "PROCTIME() AS $2")
+ ),
+ term("partitionBy", "c"),
+ term("orderBy", "PROCTIME"),
+ term("rows", "BETWEEN $3 PRECEDING AND CURRENT ROW"),
--- End diff --
Have a look at this
[test](https://github.com/apache/flink/blob/master/flink-libraries/flink-table/src/test/scala/org/apache/flink/table/api/scala/stream/sql/WindowAggregateTest.scala#L345).
In fact, the required changes are already merged to master. So you would
only need to rebase to get the value of the bound.
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