Github user revans2 commented on a diff in the pull request:
https://github.com/apache/storm/pull/2241#discussion_r129566289
--- Diff: conf/defaults.yaml ---
@@ -253,11 +247,16 @@ topology.trident.batch.emit.interval.millis: 500
topology.testing.always.try.serialize: false
topology.classpath: null
topology.environment: null
-topology.bolts.outgoing.overflow.buffer.enable: false
-topology.disruptor.wait.timeout.millis: 1000
-topology.disruptor.batch.size: 100
-topology.disruptor.batch.timeout.millis: 1
-topology.disable.loadaware.messaging: false
+topology.bolts.outgoing.overflow.buffer.enable: false # TODO: Roshan :
Whats this ?
+topology.disruptor.wait.timeout.millis: 1000 # TODO: Roshan: not used,
but we may/not want this behavior
+topology.transfer.buffer.size: 50000
+topology.transfer.batch.size: 10
+topology.executor.receive.buffer.size: 50000
+topology.producer.batch.size: 1000 # TODO: Roshan: rename
+topology.flush.tuple.freq.millis: 5000
+topology.spout.recvq.skips: 3 # Check recvQ once every N invocations of
Spout's nextTuple() [when ACKs disabled]
+
+topology.disable.loadaware.messaging: true # load aware messaging
reduces throughput by ~20%.
--- End diff --
I agree that turning it off by default may not be what we want. It really
helps on heterogeneous clusters. And quite honestly a lot of the benchmarks
that we have been running are no where near what I have seen happen in
production. It gives you a nice feeling to say we can do X million tuples per
second, but these are for bolts that do close to nothing. Most real bolts I
have seen actually take some time to process.
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