Software Performance: Why does detailed logging in a Java application server slow it down and increase CPU load?
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My experience today is on but it should be applicable to other application servers. I had a webapp serving REST APIs. It had large amounts of logging using log4j logging to stdout. I checked the CPU usage on a per thread-basis and found that the highest load was from the GlassFish logging thread. I disabled the detailed logging. CPU load went down and app throughput went up. Why does logging take up that much?
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Answer:
Some possible reasons: Logging may flush the output and syncs to the filesystem per log line. This takes up CPU. Creating the String representations of the object through toString() may be expensive. Writing timestamps with the full date and time may be expensive.
Miguel Paraz at Quora Visit the source
Other answers
A non-async log4j logger straight to stdout is almost as bad as using System.out.println directly for logging. It slows everything down because you've made your code I/O bound to the console and it takes the system time to process those log messages. And without the async logger, the JVM must process the log messages in order and confirm they've been written successfully before moving on to the next one.
Matt Pickering
Wrting to stdout requires native calls. CPU has to go through a lot of work to get this done. so intensive logging will keep the CPU held up.
Sherin Stephen
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