All Flink processes create a log text file that contains messages for various events happening in that process. These logs provide deep insights into the inner workings of Flink, and can be used to detect problems (in the form of WARN/ERROR messages) and can help in debugging them.
The log files can be accessed via the Job-/TaskManager pages of the WebUI. The used Resource Provider (e.g., YARN) may provide additional means of accessing them.
The logging in Flink uses the SLF4J logging interface. This allows you to use any logging framework that supports SLF4J, without having to modify the Flink source code.
By default, Log4j 2 is used as the underlying logging framework.
Log4j 2 is controlled using property files.
The Flink distribution ships with the following log4j properties files in the conf
directory, which are used automatically if Log4j 2 is enabled:
log4j-cli.properties
: used by the command line interface (e.g., flink run
)log4j-session.properties
: used by the command line interface when starting a Kubernetes/Yarn session cluster (i.e., kubernetes-session.sh
/yarn-session.sh
)log4j-console.properties
: used for Job-/TaskManagers if they are run in the foreground (e.g., Kubernetes)log4j.properties
: used for Job-/TaskManagers by defaultLog4j periodically scans this file for changes and adjusts the logging behavior if necessary.
By default this check happens every 30 seconds and is controlled by the monitorInterval
setting in the Log4j properties files.
Flink ships with the Log4j API bridge, allowing existing applications that work against Log4j1 classes to continue working.
If you have custom Log4j 1 properties files or code that relies on Log4j 1, please check out the official Log4j compatibility and migration guides.
To use Flink with Log4j 1 you must ensure that:
org.apache.logging.log4j:log4j-core
, org.apache.logging.log4j:log4j-slf4j-impl
and org.apache.logging.log4j:log4j-1.2-api
are not on the classpath,log4j:log4j
, org.slf4j:slf4j-log4j12
, org.apache.logging.log4j:log4j-to-slf4j
and org.apache.logging.log4j:log4j-api
are on the classpath.In the IDE this means you have to replace such dependencies defined in your pom, and possibly add exclusions on dependencies that transitively depend on them.
For Flink distributions this means you have to
log4j-core
, log4j-slf4j-impl
and log4j-1.2-api
jars from the lib
directory,log4j
, slf4j-log4j12
and log4j-to-slf4j
jars to the lib
directory,conf
directory with Log4j1-compliant versions.To use Flink with logback you must ensure that:
org.apache.logging.log4j:log4j-slf4j-impl
is not on the classpath,ch.qos.logback:logback-core
and ch.qos.logback:logback-classic
are on the classpath.In the IDE this means you have to replace such dependencies defined in your pom, and possibly add exclusions on dependencies that transitively depend on them.
For Flink distributions this means you have to
log4j-slf4j-impl
jar from the lib
directory,logback-core
, and logback-classic
jars to the lib
directory.The Flink distribution ships with the following logback configuration files in the conf
directory, which are used automatically if logback is enabled:
logback-session.properties
: used by the command line interface when starting a Kubernetes/Yarn session cluster (i.e., kubernetes-session.sh
/yarn-session.sh
)logback-console.properties
: used for Job-/TaskManagers if they are run in the foreground (e.g., Kubernetes)logback.xml
: used for command line interface and Job-/TaskManagers by defaultYou can create an SLF4J logger by calling org.slf4j.LoggerFactory#LoggerFactory.getLogger
with the Class
of your class as an argument.
We highly recommend storing this logger in a private static final
field.
In order to benefit most from SLF4J, it is recommended to use its placeholder mechanism. Using placeholders allows avoiding unnecessary string constructions in case that the logging level is set so high that the message would not be logged.
The syntax of placeholders is the following:
Placeholders can also be used in conjunction with exceptions which shall be logged.