Jiayi-Liao commented on a change in pull request #11567: [FLINK-16645] Limit
the maximum backlogs in subpartitions
URL: https://github.com/apache/flink/pull/11567#discussion_r405233271
##########
File path:
flink-runtime/src/main/java/org/apache/flink/runtime/io/network/partition/ResultPartition.java
##########
@@ -375,4 +397,29 @@ void onConsumedSubpartition(int subpartitionIndex) {
private void checkInProduceState() throws IllegalStateException {
checkState(!isFinished, "Partition already finished.");
}
+
+ /**
+ * Check whether all subpartitions' backlogs are less than the
limitation of max backlogs, and make this partition
+ * available again if yes.
+ */
+ public void notifyDecreaseBacklog(int buffersInBacklog) {
+ if (buffersInBacklog == maxBuffersPerChannel) {
+ if (--unavailableSubpartitionsCount == 0) {
+ CompletableFuture<?> toNotify =
availabilityHelper.getUnavailableToResetAvailable();
+ toNotify.complete(null);
+ }
+ }
+ }
+
+ /**
+ * Check whether any subpartition's backlog exceeds the limitation of
max backlogs, and make this partition
+ * unavailabe if yes.
+ */
+ public void notifyIncreaseBacklog(int buffersInBacklog) {
+ if (buffersInBacklog == maxBuffersPerChannel + 1) {
+ if (++unavailableSubpartitionsCount == 1) {
+ availabilityHelper.resetUnavailable();
+ }
+ }
+ }
Review comment:
@pnowojski Thanks for reminding :). A new idea occurs to me this morning,
maybe it'll help open our thoughts a little bit. Since each subpartition is
synchronized on buffers, what if we let each subpartition know its buffers'
limit and we create the availability future in every subpartition? A
subpartition will be unavailable when number of buffers are increasing and
exceeds the limit, will be available when number of buffers are decreasing. In
`ResultPartition`, there'll be something like this:
```
public boolean addBufferConsumer(BufferConsumer bufferConsumer, int
subpartitionIndex) {
...
...
subpartition.add(bufferConsumer);
if (!subpartition.isAvailabe()) {
subpartitionsFuture.combine(subpartition.availableFuture);
}
...
}
```
But the problem here is we may have hundreds of futures combined together in
the subpartitionsFuture if user sets a low value to the number of max buffers.
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