in_kafka: boost throughput #9800
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coreidcc
requested review from
edsiper,
leonardo-albertovich,
fujimotos and
koleini
as code owners
cosmo0920
reviewed
Jan 9, 2025
| */ | ||
| ctx->poll_timeount_ms = 1; | ||
| if (ins->is_threaded) { | ||
| ctx->poll_timeount_ms = 550; // ensure kafa triggers timeout |
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Could you use /* */ style of comment here?
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Polling every 1ms and committing each message individually results in rather pure performance in high volume Kafka clusters. Commiting in batches (relay on auto-commit of kafka) drastically improves performance. Signed-off-by: CoreidCC <[email protected]>
having 1ms timeout might make sense if the input plugin is running in the main thread (not introducing delay for others). but if we run in our very own thread then we should not over- ride the fetch.wait.max.ms configuration value from the kafka-consumer. this in conjuntion with using autocommit again boosts the throuhput significantly. Signed-off-by: CoreidCC <[email protected]>
Signed-off-by: CoreidCC <[email protected]>
Signed-off-by: CoreidCC <[email protected]>
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We have a Kafka cluster that ingests about 40k messages (about 60MB) of data per seconds. Fluent-bit in its current state stands no change to keep up with this load. Even Logstash is faster and vector is just consuming all these messages with ease.
Causes:
a) commits each message individually
b) a poll-timeout of just one 1ms (this completely overrides fetch.wait.max.ms from kafka)
probably related to "Batch processing is required in in_kafka. #8030"
Testing: To activate the changes one need to
[INPUT]
Name kafka
threaded true -> sets timeout fetch.wait.max.ms + 50ms (align our and kafkas timeout, ensures kafka triggers timeout)
enable_auto_commit true -> disable explicit commit call
-> The change doesn't do any dynamic allocations at all and therefore cant introduce any mem-leaks
-> The change has no impact on packaging
Throughput increased by more then a magnitude.