snleee commented on code in PR #10045:
URL: https://github.com/apache/pinot/pull/10045#discussion_r1062938976
##########
pinot-connectors/pinot-flink-connector/src/main/java/org/apache/pinot/connector/flink/sink/PinotSinkFunction.java:
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@@ -151,4 +148,18 @@ private void flush()
LOG.info("Pinot segment uploaded to {}", segmentURI);
});
}
+
+ @Override
+ public List<GenericRow> snapshotState(long checkpointId, long timestamp) {
Review Comment:
@bobby-richard Very interesting use case 👍 In that case, in-memory solution
may satisfy your requirements given that the rows that would flow to this flink
job would be very small.
RocksDB solution may requires extra complexity because we need to take care
of state clean-up and we should also take care of failure cases (e.g. the node
gets killed while we are cleaning up the rocks db etc).
We can also take the incremental approach (supporting in-memory mode for now
and we can add the rocksdb mode for checkpoint storage).
I also recommend you to add the time based trigger for `flush()` if it's not
already there. Otherwise, the data may be kept in Flink side for a very long
time.
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