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https://issues.apache.org/jira/browse/SPARK-47574?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Gengliang Wang resolved SPARK-47574.
------------------------------------
Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 45729
[https://github.com/apache/spark/pull/45729]
> Introduce Structured Logging Framework
> --------------------------------------
>
> Key: SPARK-47574
> URL: https://issues.apache.org/jira/browse/SPARK-47574
> Project: Spark
> Issue Type: Sub-task
> Components: Project Infra
> Affects Versions: 4.0.0
> Reporter: Gengliang Wang
> Assignee: Gengliang Wang
> Priority: Major
> Labels: pull-request-available
> Fix For: 4.0.0
>
>
> Introduce Structured Logging Framework as per
> [https://docs.google.com/document/d/1rATVGmFLNVLmtxSpWrEceYm7d-ocgu8ofhryVs4g3XU/edit?usp=sharing]
> .
> * The default logging output format will be json lines. For example
> {code:java}
> {
> "ts":"2023-03-12T12:02:46.661-0700",
> "level":"ERROR",
> "msg":"Cannot determine whether executor 289 is alive or not",
> "context":{
> "executor_id":"289"
> },
> "exception":{
> "class":"org.apache.spark.SparkException",
> "msg":"Exception thrown in awaitResult",
> "stackTrace":"..."
> },
> "source":"BlockManagerMasterEndpoint"
> } {code}
> * Introduce a new configuration `spark.log.structuredLogging.enabled` to
> control the default log4j configuration. Users can set it as false to get
> plain text log outputs
> * The change will start with logError method. Example changes on the API:
> from
> `logError(s"Cannot determine whether executor $executorId is alive or not.",
> e)` to `logError(log"Cannot determine whether executor ${MDC(EXECUTOR_ID,
> executorId)} is alive or not.", e)`
>
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