redis-memory-analyzer | Redis memory profiler to find the RAM bottlenecks | Monitoring library

 by   gamenet Python Version: v0.2.1 License: MIT

kandi X-RAY | redis-memory-analyzer Summary

kandi X-RAY | redis-memory-analyzer Summary

redis-memory-analyzer is a Python library typically used in Performance Management, Monitoring applications. redis-memory-analyzer has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install redis-memory-analyzer' or download it from GitHub, PyPI.

Redis memory profiler to find the RAM bottlenecks throw scaning key space in real time and aggregate RAM usage statistic by patterns.
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            kandi-support Support

              redis-memory-analyzer has a low active ecosystem.
              It has 725 star(s) with 74 fork(s). There are 17 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 16 open issues and 26 have been closed. On average issues are closed in 71 days. There are 4 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of redis-memory-analyzer is v0.2.1

            kandi-Quality Quality

              redis-memory-analyzer has 0 bugs and 66 code smells.

            kandi-Security Security

              redis-memory-analyzer has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              redis-memory-analyzer code analysis shows 0 unresolved vulnerabilities.
              There are 1 security hotspots that need review.

            kandi-License License

              redis-memory-analyzer is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              redis-memory-analyzer releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              redis-memory-analyzer saves you 541 person hours of effort in developing the same functionality from scratch.
              It has 1268 lines of code, 111 functions and 29 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed redis-memory-analyzer and discovered the below as its top functions. This is intended to give you an instant insight into redis-memory-analyzer implemented functionality, and help decide if they suit your requirements.
            • Analyze string patterns
            • Prefers the character encoding
            • Compute the total row based on the aggregation
            • Yield the progress of the progress bar
            • Analyze keys
            • Analyze hash patterns
            • Analyze list patterns
            • Run scan
            • Convert a redis type id to a redis type
            • Process the results
            • Run globals
            • Connect to Redis server
            • Check redis version
            • Perform memory usage
            • Size of a pointer function
            • Return the next power of 2 bits
            • Return the alignment of an integer
            • Return the intset header for a given size
            • Get the size of a key in redis
            • Pretty print the data
            • Prepare stat dictionary
            • Prepare keys dictionary
            • Print node information
            • Prints the keys statistic
            • Calculate the size of a string
            • Return the size of a string
            Get all kandi verified functions for this library.

            redis-memory-analyzer Key Features

            No Key Features are available at this moment for redis-memory-analyzer.

            redis-memory-analyzer Examples and Code Snippets

            No Code Snippets are available at this moment for redis-memory-analyzer.

            Community Discussions

            Trending Discussions on redis-memory-analyzer

            QUESTION

            Redis high memory usage for almot no keys
            Asked 2017-Feb-22 at 13:29

            I have a redis instance hosted by heroku ( https://elements.heroku.com/addons/heroku-redis ) and using the plan "Premium 1"

            This redis is usued only to host a small queue system called Bull ( https://www.npmjs.com/package/bull )

            The memory usage is now almost at 100 % ( of the 100 Mo allowed ) even though there is barely any job stored in redis.

            I ran an INFO command on this instance and here are the important part ( can post more if needed ) :

            ...

            ANSWER

            Answered 2017-Feb-15 at 08:43

            You have just 45 keys in database, so what you can do is:

            1. List all keys with KEYS * command
            2. Run DEBUG OBJECT command for each or several keys, it will return serialized length so you will get better understanding what keys consume lot of space.

            Alternative option is to run redis-cli --bigkeys so it will show biggest keys. You can see content of the key by specific for the data type command - for strings it's GET command, for hashes it's HGETALL and so on.

            Source https://stackoverflow.com/questions/42233895

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install redis-memory-analyzer

            You can install using 'pip install redis-memory-analyzer' or download it from GitHub, PyPI.
            You can use redis-memory-analyzer like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            CLONE
          • HTTPS

            https://github.com/gamenet/redis-memory-analyzer.git

          • CLI

            gh repo clone gamenet/redis-memory-analyzer

          • sshUrl

            git@github.com:gamenet/redis-memory-analyzer.git

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