[SERVER-9211] CLONE - Mongod 2.4.0 takes upto 99 % cpu and query result is undef Created: 02/Apr/13 Updated: 10/Dec/14 Resolved: 28/Oct/13 |
|
| Status: | Closed |
| Project: | Core Server |
| Component/s: | Diagnostics |
| Affects Version/s: | 2.4.0 |
| Fix Version/s: | None |
| Type: | Bug | Priority: | Critical - P2 |
| Reporter: | Arati Sethy | Assignee: | Unassigned |
| Resolution: | Incomplete | Votes: | 0 |
| Labels: | None | ||
| Remaining Estimate: | Not Specified | ||
| Time Spent: | Not Specified | ||
| Original Estimate: | Not Specified | ||
| Environment: |
linux |
||
| Issue Links: |
|
||||
| Operating System: | Linux | ||||
| Steps To Reproduce: | 1. Run stand alone mongod |
||||
| Participants: | |||||
| Description |
|
Hi All, Process 3284 attached - interrupt to quit My collections are indexed on _id. Can any one help if i am missing something. Thanks |
| Comments |
| Comment by Stennie Steneker (Inactive) [ 28/Oct/13 ] |
|
Hi Arati, I'm closing this issue due to inactivity. As noted on the mongodb-user discussion thread related to this issue, we would need additional information to investigate further. If you are still seeing this issue (particularly with a newer version of MongoDB 2.4.x) please feel free to open a new issue or comment on this one with the relevant details. Thanks, |
| Comment by Eliot Horowitz (Inactive) [ 02/Apr/13 ] |
|
The only query I saw was the count, which was a lot faster using count() |
| Comment by Arati Sethy [ 02/Apr/13 ] |
|
Can you please suggest any alternative? I have tried aggregate too didnt see much difefrence. I run this query every hour. |
| Comment by Eliot Horowitz (Inactive) [ 02/Apr/13 ] |
|
virtual memory in mongo is going to be 2x data size, and isn't a metric that matters much. if you have a query that takes 30 seconds, it'll pin 1 core so top will show 99%. other operations can interleave, causing the cpu to go above 100%, but that one query will peg a core. |
| Comment by Arati Sethy [ 02/Apr/13 ] |
|
I need to resolve the issue of CPU utilization and Memory usage. |