[
https://issues.apache.org/jira/browse/SPARK-36252?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Jack Hu updated SPARK-36252:
----------------------------
Description:
For a long running driver in cluster mode, there is no rolling policy, the log
(stdout/stderr) may accupy lots of space, user needs an external tool to clean
the old logs, it's not user friendly.
For executor, following 5 configurations is used to control the log file
rolling policy:
{code:java}
spark.executor.logs.rolling.maxRetainedFiles
spark.executor.logs.rolling.enableCompression
spark.executor.logs.rolling.maxSize
spark.executor.logs.rolling.strategy
spark.executor.logs.rolling.time.interval
{code}
For driver running in cluster mode:
1. reuse the executor settings
2. similar to executor: add following configurations (only works for
stderr/stdout for driver in cluster mode)
{code:java}
spark.driver.logs.rolling.maxRetainedFiles
spark.driver.logs.rolling.enableCompression
spark.driver.logs.rolling.maxSize
spark.driver.logs.rolling.strategy
spark.driver.logs.rolling.time.interval
{code}
#2 seems better, do you agree?
was:
For a long running driver in cluster mode, there is no rolling policy, the log
(stdout/stderr) may accupy lots of space, user needs a external tool to clean
the old logs, it's not friendly.
For executor, following 5 configurations is used to control the log file
rolling policy:
{code:java}
spark.executor.logs.rolling.maxRetainedFiles
spark.executor.logs.rolling.enableCompression
spark.executor.logs.rolling.maxSize
spark.executor.logs.rolling.strategy
spark.executor.logs.rolling.time.interval
{code}
For driver running in cluster mode:
1. reuse the executor settings
2. similar to executor: add following configurations (only works for
stderr/stdout for driver in cluster mode)
{code:java}
spark.driver.logs.rolling.maxRetainedFiles
spark.driver.logs.rolling.enableCompression
spark.driver.logs.rolling.maxSize
spark.driver.logs.rolling.strategy
spark.driver.logs.rolling.time.interval
{code}
#2 seems better, do you agree?
> Add log files rolling policy for driver running in cluster mode with spark
> standalone cluster
> ---------------------------------------------------------------------------------------------
>
> Key: SPARK-36252
> URL: https://issues.apache.org/jira/browse/SPARK-36252
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 3.1.2
> Reporter: Jack Hu
> Priority: Major
>
> For a long running driver in cluster mode, there is no rolling policy, the
> log (stdout/stderr) may accupy lots of space, user needs an external tool to
> clean the old logs, it's not user friendly.
> For executor, following 5 configurations is used to control the log file
> rolling policy:
> {code:java}
> spark.executor.logs.rolling.maxRetainedFiles
> spark.executor.logs.rolling.enableCompression
> spark.executor.logs.rolling.maxSize
> spark.executor.logs.rolling.strategy
> spark.executor.logs.rolling.time.interval
> {code}
> For driver running in cluster mode:
> 1. reuse the executor settings
> 2. similar to executor: add following configurations (only works for
> stderr/stdout for driver in cluster mode)
> {code:java}
> spark.driver.logs.rolling.maxRetainedFiles
> spark.driver.logs.rolling.enableCompression
> spark.driver.logs.rolling.maxSize
> spark.driver.logs.rolling.strategy
> spark.driver.logs.rolling.time.interval
> {code}
> #2 seems better, do you agree?
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
