Metadata-Version: 2.0
Name: mongotime
Version: 0.1.0
Summary: Sampling Profiler for Mongo DB - see what the DB spends time on
Home-page: http://github.com/heewa/mongotime
Author: Heewa Barfchin
Author-email: heewa.b@gmail.com
License: MIT
Download-URL: https://github.com/heewa/mongotime/archive/v0.1.0.tar.gz
Description-Content-Type: UNKNOWN
Keywords: mongo mongodb database db perf performance profile profiler
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Programming Language :: Python :: 2.7
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: System Administrators
Classifier: License :: OSI Approved :: MIT License
Classifier: Environment :: Console
Classifier: Topic :: Database
Classifier: Topic :: System
Classifier: Topic :: System :: Benchmark
Classifier: Topic :: System :: Monitoring
Requires-Dist: click (<7,>=6.7)
Requires-Dist: pymongo (<4,>=3.6.0)

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


