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
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