[ https://issues.apache.org/jira/browse/SPARK-16131?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Prajwal Tuladhar updated SPARK-16131: ------------------------------------- Description: The way log instance inside Logger trait is current being initialized doesn't seem to be thread safe [1]. Current implementation only guarantees initializeLogIfNecessary() is initialized in lazy. [1] https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/internal/Logging.scala#L44-L50 This can be written as: {code} @transient private lazy val log_ : Logger = { initializeLogIfNecessary(false) LoggerFactory.getLogger(logName) } {code} was: The way log instance inside Logger trait is current being initialized doesn't seem to be thread safe [1]. Current implementation only guarantees initializeLogIfNecessary() is initialized in lazy + thread safe way. [1] https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/internal/Logging.scala#L44-L50 This can be written as: {code} @transient private lazy val log_ : Logger = { initializeLogIfNecessary(false) LoggerFactory.getLogger(logName) } {code} > initialize internal logger lazily instead of manual null check > -------------------------------------------------------------- > > Key: SPARK-16131 > URL: https://issues.apache.org/jira/browse/SPARK-16131 > Project: Spark > Issue Type: Improvement > Components: Spark Core > Reporter: Prajwal Tuladhar > Priority: Minor > > The way log instance inside Logger trait is current being initialized doesn't > seem to be thread safe [1]. Current implementation only guarantees > initializeLogIfNecessary() is initialized in lazy. > [1] > https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/internal/Logging.scala#L44-L50 > This can be written as: > {code} > @transient private lazy val log_ : Logger = { > initializeLogIfNecessary(false) > LoggerFactory.getLogger(logName) > } > {code} -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org