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Utilities to profile Redis RAM usage

Project Description

Redis Memory Analyzer

RMA is a console tool to scan Redis key space in real time and aggregate memory usage statistic by key patterns. You may use this tools without maintenance on production servers. You can scanning by all or selected Redis types such as “string”, “hash”, “list”, “set”, “zset” and use matching pattern as you like. RMA try to discern key names by patterns, for example if you have keys like ‘user:100’ and ‘user:101’ application would pick out common pattern ‘user:*’ in output so you can analyze most memory distressed data in your instance.

Installing rma

Pre-Requisites :

  1. python >= 3.4 and pip.
  2. redis-py.

To install from PyPI (recommended) :

pip install rma

To install from source :

git clone
cd redis-memory-analyzer
sudo python install


After install used it from console:

>rma --help
usage: rma [-h] [-s HOST] [-p PORT] [-a PASSWORD] [-d DB] [-m MATCH] [-l LIMIT]
           [-b BEHAVIOUR] [-t TYPES]

RMA is used to scan Redis key space in and aggregate memory usage statistic by
key patterns.

optional arguments:
  -h, --help                 show this help message and exit
  -s, --server HOST          Redis Server hostname. Defaults to
  -p, --port PORT            Redis Server port. Defaults to 6379
  -a, --password PASSWORD    Password to use when connecting to the server
  -d, --db DB                Database number, defaults to 0
  -m, --match MATCH          Keys pattern to match
  -l, --limit LIMIT          Get max key matched by pattern
  -b, --behaviour BEHAVIOUR  Specify application working mode. Allowed values
                             areall, scanner, ram, global
  -t, --type TYPES           Data types to include. Possible values are string,
                             hash, list, set. Multiple types can be provided. If
                             not specified, all data types will be returned.
                             Allowed values arestring, hash, list, set, zset

If you have large database try running first with --limit option to run first limited amount of keys. Also run with --types to limit only specified Redis types in large database. Not this tool has performance issues - call encoding for individual keys instead if batch queue with LUA (like in scanner does). So this option may be very useful. You can choose what kind of data would be aggregated from Redis node using -b (--behaviour) option as console argument. Supported behaviours are ‘global’, ‘scanner’, ‘ram’ and ‘all’.


RMA shows statistics separated by types. All works in application separated by few steps:

  1. Load type and encoding for each key matched by given pattern with Lua scripting in batch mode. SCAN used to iterate keys from Redis key db.
  2. Separate keys by types and match patterns.
  3. Run behaviours and rules for given data set.
  4. Output result with given reported (now only TextReported implemented)

Global output (‘global’ behaviour)

The global data is some Redis server statistics which helps you to understand other data from this tools:

| Stat                             | Value          |
| Total keys in db                 | 28979          |
| RedisDB key space overhead       | 790528         |
| Used `set-max-intset-entries`    | 512            |
| ....                             | ...            |
| Info `total_system_memory`       | 3190095872     |
| ....                             | ...            |

The one of interesting things here is “RedisDB key space overhead”. The amount of memory used Redis to store key space data. If you have lots of keys in your Redis instance this actually shows your overhead for this.

Key types (‘scanner’ behaviour)

This table helps then you do not know actually that kind of keys stored in your Redis database. For example then DevOps or system administrator want to understand what kind of keys stored in Redis instance. Which data structure is most used in system. This also helps if you are new to some big project - this kind of SHOW ALL TABLES request :)

| Match                 |   Count | Type   | %      |
| job:*                 |    5254 | hash   | 18.13% |
| game:privacy:*        |    2675 | hash   | 9.23%  |
| user:*                |    1890 | hash   | 6.52%  |
| group:*               |    1885 | set    | 6.50%  |

Why doesn’t reported memory match actual memory used?

The memory reported by this tool is approximate. In general, the reported memory should be within 10% of what is reported by info.

Also note that the tool does not (and cannot) account for the following: - Memory used by allocator metadata (it is actually not possible without c) - Memory used for pub/sub (no any commands in Redis for that) - Redis process internals (like shared objects)

Known issues

  1. Skiplist (zset actually) encoding actually not realized.
  2. Quicklist now calculated as ziplist.
  3. SDS strings from redis 3.2 (optimized headers) not implemented. Now used fixed 9 bytes header.

Whats next?

Now we use this tools as awesome helper. We most used data structures in our Redis instances is hash and list. After upgradings our servers to Redis 3.2.x planning to fix known issues. Be glad to know that are you think about this tool. In my dreams this tools should used as redis-lint tools which can say you Hey, change this from this to this and save 30% of RAM, Hey, you are using PHP serializer for strings - change to msgpack and save 15% of RAM and so on.


This application was developed for using in GameNet project as part of Redis memory optimizations and analise. RMA is licensed under the MIT License. See LICENSE

ChangeLog for RMA

  • 0.1.9

    • Fix issue with types and behavior filters (#14)
    • Add columns min and max to the list statistic (#15)
    • ValueError: min() arg is an empty sequence (#13)
  • 0.1.8

    • More one try with deps in Tnx a lot to (#16)
  • 0.1.7

    • More one try with deps in (#16)
  • 0.1.6

    • Fix display percent of keys issue (#13)
    • Fix invalid syntax on python 3.4 in (#16)
  • 0.1.5

    • Fix logging issue in ValueString
  • 0.1.4

    • Fix pip deps
  • 0.1.3

    • Move pattern aggregation to separate pass
    • Retrieve key encoding in Scanner LUA script and boost performance ~1,75 times (github issue #4)
    • Lots of pylint warning and code style from landscape
  • 0.1.2

    • Fix issue with no such key ResponseError during debug sdslen in Value String (github issue #1)
    • Fix wrong behaviour if used non 0 db (github issue #2)
    • Fix crash with ElastiCache because of CONFIG command is disallowed to use (github issue #3)
  • 0.1.1

    • Prepare to pip distribution
  • 0.1.0

    • Initial version
    • Strings, Hash, Set, List are supported

Release History

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