MongoDB profiler is an internal tool that enables DBAs and developers to collect information about executed MongoDB requests.
Profiler has three levels:
0 – profile is off
1 – profiler collects information on slow requests
2 – profiler collects all information
For production purposes level 1 is what DBA needs. In general, it is best to set it to some reasonable SLA required threshold, like 1,000 milliseconds (1 second), etc.
Level 2 is best for development purposes to get a complete log of executed requests.
Below is the list of profile related commands:
# set profiling to level 1 capture requests with duration over 500 ms
db.setProfilingLevel(1,500)
#get current profiler level
db.getProfilingLevel()
# get current profiler settings
MongoDB Enterprise > db.getProfilingStatus()
{ "was" : 1, "slowms" : 500 }
To return operations slower than 500 milliseconds, run a query similar to the following:
db.system.profile.find( { millis : { $gt : 50 } } ).pretty()
Enteros UpBeat High Load Capture continuously captures history of executed mongodb requests across all collection as well as other mongo db, OS, SAN and other operational statistics across muliple systems.
When the spike is identified, it can be cross-correlated across MongoDB nodes and correlated with MongoDB requests. A detailed report is generated to pinpoint what requests are were active during the problem time.
Also, please check my presentation on MongoDB performance tuning
The views expressed on this blog are those of the author and do not necessarily reflect the opinions of Enteros Inc. This blog may contain links to the content of third-party sites. By providing such links, Enteros Inc. does not adopt, guarantee, approve, or endorse the information, views, or products available on such sites.
Are you interested in writing for Enteros’ Blog? Please send us a pitch!
RELATED POSTS
Revolutionizing Real Estate: Enhancing Database Performance and Cost Efficiency with Enteros and Cloud FinOps
- 21 November 2024
- Database Performance Management
In the fast-evolving world of finance, where banking and insurance sectors rely on massive data streams for real-time decisions, efficient anomaly man…
Enteros in Education: Leveraging AIOps for Advanced Anomaly Management and Optimized Learning Environments
In the fast-evolving world of finance, where banking and insurance sectors rely on massive data streams for real-time decisions, efficient anomaly man…
Optimizing Database Performance and Cost Management: Enteros’ Role in Cost Estimation and Allocation for the Banking World
- 20 November 2024
- Database Performance Management
In the fast-evolving world of finance, where banking and insurance sectors rely on massive data streams for real-time decisions, efficient anomaly man…
Enteros: Revolutionizing Database Performance and Cloud FinOps for Financial Sector RevOps Success
In the fast-evolving world of finance, where banking and insurance sectors rely on massive data streams for real-time decisions, efficient anomaly man…