Mongotime is a sampling-based performance analysis tool for MongoDB that aims to give you a deep view into how Mongo is spending its time by showing % utilization of various activity types, and allowing you to add custom grouping and filtering.
This approach is particularly useful if your DB is strained by a high volume of fast queries, rather than a few slow ones. Besides optimizing slow queries, you might want to understand and change general access patterns. For example, maybe your DB is spending way too much time looking up a user’s last login time, even if each lookup is very fast because of indexing.
See the project page on github: https://github.com/heewa/mongotime
Metadata
Release files for mongotime 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| mongotime-0.1.0.tar.gz | 9.3 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mongotime-0.1.0-py2-none-any.whl | Python 2 | none | any | Details |
Total release size: 20.1 kB
Release files / mongotime-0.1.0.tar.gz
| Download URL | mongotime-0.1.0.tar.gz |
|---|---|
| Size | 9.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / mongotime-0.1.0-py2-none-any.whl
| Download URL | mongotime-0.1.0-py2-none-any.whl |
|---|---|
| Size | 10.8 kB |
| Tags | Python 2 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Security for mongotime 0.1.0
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