We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
blaze+celeborn场景下,我使用了更多的内存,但性能反而劣化了接近一倍,具体来说:
单独使用celeborn时,使用 --executor-memory=10G 可以正常运行
blaze+celborn场景下,我使用: -- conf spark.executor. MemoryOverhead = 6g, --executor-memory=6G, 会遇到OOM问题,以及shuffle push数据失败问题,为此我调高了:--executor-memory=10G,spark.celeborn.client.push.buffer.max.size=32K。此时任务可以成功运行,并且配置了比直接使用celeborn更多的内存,但性能劣化了接近一倍:
spark+celeborn:
spark+blaze+celeborn:
The text was updated successfully, but these errors were encountered:
No branches or pull requests
blaze+celeborn场景下,我使用了更多的内存,但性能反而劣化了接近一倍,具体来说:
单独使用celeborn时,使用 --executor-memory=10G 可以正常运行
blaze+celborn场景下,我使用: -- conf spark.executor. MemoryOverhead = 6g, --executor-memory=6G, 会遇到OOM问题,以及shuffle push数据失败问题,为此我调高了:--executor-memory=10G,spark.celeborn.client.push.buffer.max.size=32K。此时任务可以成功运行,并且配置了比直接使用celeborn更多的内存,但性能劣化了接近一倍:
spark+celeborn:
spark+blaze+celeborn:
The text was updated successfully, but these errors were encountered: