Gengliang Wang created SPARK-47574:
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Summary: 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
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. The Logging API will be changed
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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