Logstash pipeline.workers and ordered processing uncertainty

Logstash pipeline.workers count mismatch causing out‑of‑order event processing in production

0 reputation · 07 Jun 2024, 15:30 UTC

124.1K views0

A Logstash pipeline that uses the default single worker (pipeline.workers = 1) processes events in the order they are received.

Production environments often set pipeline.workers to a value greater than 1, which can cause events to be processed out of sequence unless pipeline.ordered is explicitly enabled, and doing so may affect throughput.

Which worker count and pipeline.ordered configuration ensures ordered event delivery without excessive overhead? Does this requirement differ between Logstash 7.x and 8.x?

4,326 following

Keep exploring this topic

Persistent queue replay causing duplicate event delivery to outputs

Investigating why Logstash persistent queues result in duplicate event delivery to non-idempotent outputs after a crash.

Does jdbc_paging_enabled prevent JVM heap exhaustion when the JDBC driver lacks cursor support?

An inquiry into whether the Logstash JDBC input plugin's jdbc_paging_enabled setting can prevent JVM heap exhaustion if the underlying JDBC driver does not support cursor-based fetching.

Logstash Persistent Queue disk exhaustion and automatic purging triggers

Analysis of Logstash Persistent Queues during disk exhaustion and the triggers for automatic queue purging versus manual intervention requirements.

JDBC Input Memory Leak: Unclosed Connections and Worker Thread Impact

Investigate Logstash JDBC input memory leaks caused by unclosed connections and worker‑thread pools, and evaluate the impact of <code>pipeline.workers</code> and <code>idle_timeout</code> settings.

Logstash pipeline.workers count mismatch causing out‑of‑order event processing in production

0 answers

Your perspective belongs here.

0 question comments