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
Version / Branch / tag 3.6.x,master
出了什么问题?(What Happened?) 大业务量环境下job-manage CPU持续飚高至90%以上。 排查发现,原因在于job-manage中某处代码使用parallelStream造成多个线程并发地向同一个Set里面添加元素。
如何复现?(How to reproduce?) 大业务量环境下,作业、主机等资源数量较多,统计分析任务持续运行的情况下,job-manage CPU持续飚高至90%以上。
预期结果(What you expect?) job-manage CPU占用保持健康状态,不超过70%。
The text was updated successfully, but these errors were encountered:
排查整个项目中parallelStream使用,将不必要的使用改为stream()
Sorry, something went wrong.
fix: 大业务量环境下job-manage CPU持续飚高 TencentBlueKing#2114
3db8f5d
排查所有parallelStream(),将不必要的使用替换为stream()
Merge pull request #2115 from jsonwan/github_fix/manage_cpu
008f4fe
fix: 大业务量环境下job-manage CPU持续飚高 #2114
jsonwan
No branches or pull requests
Version / Branch / tag
3.6.x,master
出了什么问题?(What Happened?)
大业务量环境下job-manage CPU持续飚高至90%以上。
排查发现,原因在于job-manage中某处代码使用parallelStream造成多个线程并发地向同一个Set里面添加元素。
如何复现?(How to reproduce?)
大业务量环境下,作业、主机等资源数量较多,统计分析任务持续运行的情况下,job-manage CPU持续飚高至90%以上。
预期结果(What you expect?)
job-manage CPU占用保持健康状态,不超过70%。
The text was updated successfully, but these errors were encountered: