vamossagar12 commented on code in PR #13801:
URL: https://github.com/apache/kafka/pull/13801#discussion_r1238380902
##########
connect/runtime/src/main/java/org/apache/kafka/connect/storage/ConnectorOffsetBackingStore.java:
##########
@@ -279,10 +284,61 @@ public Future<Void> set(Map<ByteBuffer, ByteBuffer>
values, Callback<Void> callb
throw new IllegalStateException("At least one non-null offset
store must be provided");
}
+ boolean containsTombstones = values.containsValue(null);
+
+ // If there are tombstone offsets, then the failure to write to
secondary store will
+ // not be ignored. Also, for tombstone records, we first write to
secondary store and
+ // then to primary stores.
+ if (secondaryStore != null && containsTombstones) {
+ AtomicReference<Throwable> secondaryStoreTombstoneWriteError = new
AtomicReference<>();
+ Future<Void> secondaryWriteFuture = secondaryStore.set(values,
(secondaryWriteError, ignored) -> {
+ try (LoggingContext context = loggingContext()) {
+ if (secondaryWriteError != null) {
+ log.warn("Failed to write offsets with tombstone
records to secondary backing store", secondaryWriteError);
+ secondaryStoreTombstoneWriteError.compareAndSet(null,
secondaryWriteError);
+ } else {
+ log.debug("Successfully flushed tombstone offsets to
secondary backing store");
+ }
+ }
+ });
+ try {
+ // For EOS, there is no timeout for offset commit and it is
allowed to take as much time as needed for
+ // commits. We still need to wait because we want to fail the
offset commit for cases when
+ // tombstone records fail to be written to the secondary
store. Note that while commitTransaction
+ // already waits for all records to be sent and ack'ed, in
this case we do need to add an explicit
+ // blocking call. In case of ALOS, we wait for the same
duration as `offset.commit.timeout.ms`
+ // and throw that exception which would allow the offset
commit to fail.
+ if (isEOSEnabled) {
+ secondaryWriteFuture.get();
+ } else {
+ secondaryWriteFuture.get(offsetFlushTimeoutMs,
TimeUnit.MILLISECONDS);
+ }
+ } catch (InterruptedException e) {
+ log.warn("{} Flush of tombstone offsets to secondary store
interrupted, cancelling", this);
+ secondaryStoreTombstoneWriteError.compareAndSet(null, e);
+ } catch (ExecutionException e) {
+ log.error("{} Flush of tombstone offsets to secondary store
threw an unexpected exception: ", this, e);
+ secondaryStoreTombstoneWriteError.compareAndSet(null, e);
+ } catch (TimeoutException e) {
+ log.error("{} Timed out waiting to flush offsets with
tombstones to secondary storage ", this);
+ secondaryStoreTombstoneWriteError.compareAndSet(null, e);
+ } catch (Exception e) {
+ log.error("{} Got Exception when trying to flush tombstone
offsets to secondary storage", this);
Review Comment:
done
##########
connect/runtime/src/main/java/org/apache/kafka/connect/storage/ConnectorOffsetBackingStore.java:
##########
@@ -279,10 +284,61 @@ public Future<Void> set(Map<ByteBuffer, ByteBuffer>
values, Callback<Void> callb
throw new IllegalStateException("At least one non-null offset
store must be provided");
}
+ boolean containsTombstones = values.containsValue(null);
+
+ // If there are tombstone offsets, then the failure to write to
secondary store will
+ // not be ignored. Also, for tombstone records, we first write to
secondary store and
+ // then to primary stores.
+ if (secondaryStore != null && containsTombstones) {
+ AtomicReference<Throwable> secondaryStoreTombstoneWriteError = new
AtomicReference<>();
+ Future<Void> secondaryWriteFuture = secondaryStore.set(values,
(secondaryWriteError, ignored) -> {
+ try (LoggingContext context = loggingContext()) {
+ if (secondaryWriteError != null) {
+ log.warn("Failed to write offsets with tombstone
records to secondary backing store", secondaryWriteError);
+ secondaryStoreTombstoneWriteError.compareAndSet(null,
secondaryWriteError);
+ } else {
+ log.debug("Successfully flushed tombstone offsets to
secondary backing store");
Review Comment:
done
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: jira-unsubscr...@kafka.apache.org
For queries about this service, please contact Infrastructure at:
us...@infra.apache.org
