[
https://issues.apache.org/jira/browse/KAFKA-18046?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
David Jacot reassigned KAFKA-18046:
-----------------------------------
Fix Version/s: 4.0.0
3.9.1
Assignee: David Jacot
Resolution: Fixed
> High CPU usage when using Log4j2
> --------------------------------
>
> Key: KAFKA-18046
> URL: https://issues.apache.org/jira/browse/KAFKA-18046
> Project: Kafka
> Issue Type: Improvement
> Components: consumer
> Affects Versions: 3.6.1, 3.8.1
> Reporter: Anthony Maire
> Assignee: David Jacot
> Priority: Major
> Fix For: 4.0.0, 3.9.1
>
> Attachments: kafka_consumer_getLogger.png,
> kafka_consumer_getLogger_patched.png
>
>
> This is pretty similar to KAFKA-15141 that impacted server side : when using
> log4j2 as SLF4J implementation, LoggerFactory.getLogger() is a pretty costly
> operation that use StackWalker under the hood and can have a performance
> impact in hot code paths
> The attached CPU profiling shows that getLogger() is responsible for more
> than 20% of CPU usage in KafkaConsumer.poll(), because
> org.apache.kafka.clients.consumer.internals.CompletedFetch constructor uses
> org.apache.kafka.common.utils.LogContext.logger(Class<?>) which calls
> LoggerFactory.getLogger().
> I can provide a PR for this, but there are 2 possible implementations :
> - don't change LogContext API, but keep a static cache of loggers inside it
> (using ConcurrentHashMap.computeIfAbsent() ) : it will cache logger for all
> classes using LogContext, including cold paths. The memory retention induced
> by it was very low in my tests as loggers are already referenced in Log4J
> internal maps. A heap dump showed an additionnal 848 bytes retained by the
> cache for 24 entries in my tests
> - If we want to only do this on the hot code paths and make sure we avoid any
> memory retention, then we should add a new method LogContext.logger(Logger)
> that would wrap a static logger instantiated in the relevant classes.
> My preference would be to do a global fix by using the first approach, but I
> wanted to ask there first before proviing a PR if I missed a scenario when it
> could create a undesirable significant memory retention
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
