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trait Logging extends AnyRef

Logging trait that is mixed to the classes that do logging.

Note

Since Checkita framework works with multiple versions of Spark (2.4 and newer) then it has to support two major versions of Log4J library for logging. Log4J API has been significantly changed between version 1 and 2. Checkita framework uses Log4J2 for logging and also provide bridge to slf4j implementation from Log4J2 in order to get logs from Spark.

,

Checkita always looks for log4j2.properties file (which is common name convention for Log4j2) in either resources directory or working directory. Other locations of log properties file are not supported: default logging settings will be used.

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  11. def initLogger(lvl: Level): Unit

    Initialises logger:

    Initialises logger:

    • gets log4j properties with following priority: resources directory -> working directory -> default settings
    • updates root logger level with verbosity level defined at application start
    • reconfigures Logger
    lvl

    Root logger level defined at application start

  12. final def isInstanceOf[T0]: Boolean
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  13. lazy val log: Logger
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