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authorBryan Newbold <bnewbold@robocracy.org>2018-11-13 23:48:45 -0800
committerBryan Newbold <bnewbold@robocracy.org>2018-11-13 23:48:47 -0800
commit7634f6ecf2361b1cb1cafd4e27fd1fb84d81d130 (patch)
tree69b18860ed4188c5169e9d9cb174355966b6f7de /notes/performance
parent7edae5c9d2267ba5e381ecbf00a7c3f7dacf4194 (diff)
downloadfatcat-7634f6ecf2361b1cb1cafd4e27fd1fb84d81d130.tar.gz
fatcat-7634f6ecf2361b1cb1cafd4e27fd1fb84d81d130.zip
switch to auto consumer offset updates
This is the classic/correct way to do consumer group updates for higher throughput, when "at least once" semantics are acceptible (as they are here; double processing should be safe/fine).
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+## Early Notes (2018-11-13)
+
+Ran through about 100k crossref objects, resulting in about 77k messages (in
+about 4k editgroups/changelogs).
+
+Have seen tens of messages per second go through trivially.
+
+The elastic-release worker is the current bottleneck, only some 4.3
+messages/second. Because this worker consumes from 8x partitions, I have a
+feeling it might be consumer group related. kafka-manager shows "0% coverage"
+for this topic. Note that this is a single worker process.
+
+_consumer_offsets is seeing about 36 messages/sec.
+
+Oh, looks like I just needed to enable auto_commit and tune parameters in
+pykafka!