Apache Log4J Core framework performance optimization skills
Apache Log4J Core framework performance optimization skills
Overview:
Apache Log4J Core is a popular Java log record framework, which is widely used in logo information of management and recording applications.However, with the growth of log volume and the complexity of applications, performance optimization has become particularly important.This article will introduce some optimization techniques to help you improve the performance of Apache Log4J Core.
1. Reduce log output level:
In the application, in order to debug or track the problem, we usually set a lower log output level.However, too much log output can cause performance decline.Therefore, we should choose appropriate log output levels for the production environment to reduce unnecessary log output.The following is a sample code for setting log output levels:
import org.apache.logging.log4j.Level;
import org.apache.logging.log4j.core.config.Configurator;
Configurator.setRootLevel(Level.INFO);
2. Use the appropriate log format:
Choosing a suitable log format has a great impact on performance.By default, LOG4J Core uses PatternLayout to format the log message.However, the PatternLayout layout has some performance overhead, especially in a complex layout.Therefore, we can consider using a simpler layout format, such as SimpleLayout or JSONLAYOUT to improve performance.The following is a sample code that uses the layout of the SimpleLayout:
import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.apache.logging.log4j.core.config.Configurator;
Logger logger = LogManager.getRootLogger();
Configurator.setRootLayout(org.apache.logging.log4j.simple.SimpleLayout.class.getName());
3. Batch log output:
Frequent log output will reduce performance, so we can consider using the way of batch log output.The Apache Log4J Core framework provides the Asyncappender class, which can cushion the log message and output batch output at an appropriate time.The following is an example code using Asyncappender:
import org.apache.logging.log4j.AsyncLogger;
import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.core.config.Configurator;
AsyncLogger asyncLogger = (AsyncLogger) LogManager.getRootLogger();
Configurator.setRootLoggerConfig(asyncLogger.getContext().getConfiguration());
4. Reasonable configuration asynchronous output:
Asynchronous logization of log output can reduce the effect of log output on the main thread and improve performance.However, excessive asynchronous output may cause memory leakage or loss of log messages.Therefore, we should reasonably configure the number of threads and buffers in the asynchronous output and adjust according to the load of the application.The following is a sample code configured asynchronous output:
import org.apache.logging.log4j.core.async.AsyncLoggerConfig;
import org.apache.logging.log4j.core.config.Configurator;
AsyncLoggerConfig asyncLoggerConfig = (AsyncLoggerConfig) LogManager.getRootLogger().get();
asyncLoggerConfig.setBufferSize(1024);
asyncLoggerConfig.setRingBufferSize(8192);
Configurator.setRootLoggerConfig(asyncLoggerConfig);
Summarize:
Through reasonable configuration and optimization, we can improve the performance of the Apache Log4J Core framework, and manage and record log information more efficiently in applications.The optimization techniques described above include reducing log output levels, using suitable log formats, using batch log outputs, and reasonable configuration asynchronous output.By applying these techniques, we can effectively reduce the expenses of log processing and improve the overall performance of the application.
