#Beats updater resource hog for free
#Beats updater resource hog plus

This one searches the string in message either linearly (using CPU instructions) or using Rabin-Karb (Worst time complexity O((n-m)*m)), depending on the length of the search pattern.Īs you noticed CPU usage very much depends on event throughput. The final event is then JSON encoded when publishing to redis.įrom experience most CPU is consumed due to the JSON encoding + garbage collection of published events.

#Beats updater resource hog for free

This does not come for free and produces some garbage which needs to be cleaned.įilebeat does not just send the plain contents as is, but generates structures events with read timestamps + it adds additional meta-data per event.

#Beats updater resource hog plus

|BenchmarkPatterns/Name=startsWithDate2,_Matcher=Match,_Content=simple_log_with_level-4 |20000000| 99.5 ns/op|įilebeat copies the content into temporary buffers (so to deal with potential file truncation on rotation strategies), plus multiline has to combine existing buffered lines. |BenchmarkPatterns/Name=startsWithDate2,_Matcher=Regex,_Content=simple_log_with_level-4 | 1000000| 1487 ns/op| |BenchmarkPatterns/Name=startsWithDate2,_Matcher=Match,_Content=simple_log2-4 | 5000000| 277 ns/op| |BenchmarkPatterns/Name=startsWithDate2,_Matcher=Regex,_Content=simple_log2-4 | 500000| 2732 ns/op| |BenchmarkPatterns/Name=startsWithDate2,_Matcher=Match,_Content=simple_log-4 |20000000| 110 ns/op|

|BenchmarkPatterns/Name=startsWithDate2,_Matcher=Regex,_Content=simple_log-4 | 1000000| 1879 ns/op| |BenchmarkPatterns/Name=startsWithDate2,_Matcher=Match,_Content=mixed-4 |10000000| 117 ns/op| These benchmark results do match this pattern: |BenchmarkPatterns/Name=startsWithDate2,_Matcher=Regex,_Content=mixed-4 | 1000000| 2021 ns/op| Multiline.pattern: '^] should fit your case and it will be optimized to a simple hand-coded prefix check. Here's our filebeat.yml for the default test: - input_type: log We think the CPU usage of filebeat is normal, or did we overlook a magic switch to lower it significantly?

using plain codec, writing to console 63s( 31k/s).without regexp it took 117s ( 38k /sec, but it since it had to submit much more messages, this is not compareable ).so we estimated, it would use about 29% of 1 cpu when it would submit the logs while being written. We limited the cpus via max_procs to 1.įilebeat (6.4, running under CentOs, Xeon(R) CPU E5-2640) took about 93s (21k/sec) to forward the logs to REDIS, using 100% of 1 cpu. So we took a log file, written while lots of traffic (501Mbyte, 1944137 events in 371s, 5240 events / second), and forwarded it with filebeat to our redis queue.

In his opinion there's something wrong with it, blames the regular expression (his old log forwarder, just needs about 1% CPU - just forwards plain text messages via UDP, which is a total different scenario, however target is, to minimise the performance impact the new log pipeline). One of our customers complains, that filebeat needs more resources than the process that writes the logs We're using filebeat to forward logs to a redis server, then they're processed with logstash and indexed by elasticsearch