此内容没有您所选择的语言版本。

2.4.6. Log Handler Types


The following table lists the different types of log handlers available in JBoss Data Grid:
Expand
Table 2.3. Log Handler Types
Log Handler Type Description
Console Console log handlers write log messages to either the host operating system’s standard out (stdout) or standard error (stderr) stream. These messages are displayed when JBoss Data Grid 6 is run from a command line prompt. The messages from a Console log handler are not saved unless the operating system is configured to capture the standard out or standard error stream.
File File log handlers are the simplest log handlers. Their primary use is to write log messages to a specified file.
Periodic Periodic file handlers write log messages to a named file until a specified period of time has elapsed. Once the time period has elapsed, the specified time stamp is appended to the file name. The handler then continues to write into the newly created log file with the original name.
Size Size log handlers write log messages to a named file until the file reaches a specified size. When the file reaches a specified size, it is renamed with a numeric prefix and the handler continues to write into a newly created log file with the original name. Each size log handler must specify the maximum number of files to be kept in this fashion.
Async Async log handlers are wrapper log handlers that provide asynchronous behavior for one or more other log handlers. These are useful for log handlers that have high latency or other performance problems such as writing a log file to a network file system.
Custom Custom log handlers enable to you to configure new types of log handlers that have been implemented. A custom handler must be implemented as a Java class that extends java.util.logging.Handler and be contained in a module.
返回顶部
Red Hat logoGithubredditYoutubeTwitter

学习

尝试、购买和销售

社区

关于红帽文档

通过我们的产品和服务,以及可以信赖的内容,帮助红帽用户创新并实现他们的目标。 了解我们当前的更新.

让开源更具包容性

红帽致力于替换我们的代码、文档和 Web 属性中存在问题的语言。欲了解更多详情,请参阅红帽博客.

關於紅帽

我们提供强化的解决方案,使企业能够更轻松地跨平台和环境(从核心数据中心到网络边缘)工作。

Theme

© 2025 Red Hat