[
https://issues.apache.org/jira/browse/SPARK-47574?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Gengliang Wang updated SPARK-47574:
-----------------------------------
Description:
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)`
was:
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)`
> 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
>
> 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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