Github user hongyuhong commented on a diff in the pull request:
https://github.com/apache/flink/pull/3649#discussion_r109072158
--- Diff:
flink-libraries/flink-table/src/main/scala/org/apache/flink/table/runtime/aggregate/UnboundedEventTimeOverProcessFunction.scala
---
@@ -204,21 +183,145 @@ class UnboundedEventTimeOverProcessFunction(
* If timestamps arrive in order (as in case of using the RocksDB state
backend) this is just
* an append with O(1).
*/
- private def insertToSortedList(recordTimeStamp: Long) = {
+ private def insertToSortedList(recordTimestamp: Long) = {
val listIterator = sortedTimestamps.listIterator(sortedTimestamps.size)
var continue = true
while (listIterator.hasPrevious && continue) {
val timestamp = listIterator.previous
- if (recordTimeStamp >= timestamp) {
+ if (recordTimestamp >= timestamp) {
listIterator.next
- listIterator.add(recordTimeStamp)
+ listIterator.add(recordTimestamp)
continue = false
}
}
if (continue) {
- sortedTimestamps.addFirst(recordTimeStamp)
+ sortedTimestamps.addFirst(recordTimestamp)
}
}
+ /**
+ * Process the same timestamp datas, the mechanism is different between
+ * rows and range window.
+ */
+ def processElementsWithSameTimestamp(
+ curRowList: JList[Row],
+ lastAccumulator: Row,
+ out: Collector[Row]): Unit
+
+}
+
+/**
+ * A ProcessFunction to support unbounded ROWS window.
+ * With the ROWS option you define on a physical level how many rows are
included in your window frame
--- End diff --
Thanks for reminding me, i will pay attention next time.
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