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https://github.com/colinmollenhour/cm_cache_backend_redis
A Zend_Cache backend for Redis with full support for tags (works great with Magento)
https://github.com/colinmollenhour/cm_cache_backend_redis
Last synced: 17 days ago
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A Zend_Cache backend for Redis with full support for tags (works great with Magento)
- Host: GitHub
- URL: https://github.com/colinmollenhour/cm_cache_backend_redis
- Owner: colinmollenhour
- License: other
- Created: 2012-03-11T23:55:58.000Z (over 12 years ago)
- Default Branch: master
- Last Pushed: 2024-02-24T00:38:32.000Z (9 months ago)
- Last Synced: 2024-05-15T13:47:17.731Z (6 months ago)
- Language: PHP
- Homepage:
- Size: 289 KB
- Stars: 390
- Watchers: 46
- Forks: 142
- Open Issues: 21
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
This `Zend_Cache` backend allows you to use a Redis server as a central cache storage. Tags are fully supported
without the use of `TwoLevels` cache so this backend is great for use on a single machine or in a cluster.
Works with any Zend Framework project including all versions of Magento!
# FEATURES
- Uses the [phpredis PECL extension](https://github.com/nicolasff/phpredis) for best performance (requires **master** branch or tagged version newer than Aug 19 2011).
- Falls back to standalone PHP if phpredis isn't available using the [Credis](https://github.com/colinmollenhour/credis) library.
- Tagging is fully supported, implemented using the Redis "set" and "hash" data types for efficient tag management.
- Key expiration is handled automatically by Redis.
- Supports unix socket connection for even better performance on a single machine.
- Supports configurable compression for memory savings. Can choose between gzip, lzf and snappy and can change configuration without flushing cache.
- Uses transactions to prevent race conditions between saves, cleans or removes causing unexpected results.
- Supports a configurable "auto expiry lifetime" which, if set, will be used as the TTL when the key otherwise wouldn't expire. In combination with "auto expiry refresh on load" offers a more sane cache management strategy for Magento's `Enterprise_PageCache` module.
- __Unit tested!__
# REQUIREMENTS
As this backend uses [Credis](https://github.com/colinmollenhour/credis) there are no additional requirements, but for improved performance you can install [phpredis](https://github.com/nicolasff/phpredis) which is a compiled extension.
* For 2.4 support you must use the "master" branch or a tagged version newer than Aug 19, 2011.
* phpredis is optional, but it is much faster than standalone mode
* phpredis does not support setting read timeouts at the moment (see pull request #260). If you receive read errors (“read error on connection”), this
might be the reason.
# INSTALLATION
Add the package as a dependency to your project with Composer.
```shell
composer require colinmollenhour/cache-backend-redis
```
### modman
It is not the recommended method, but you may install via [modman](https://github.com/colinmollenhour/modman):
```shell
modman clone https://github.com/colinmollenhour/Cm_Cache_Backend_Redis
```
# CONFIGURATION
These examples assume you are using Magento, but the configuration can just be passed to the constructor as a PHP
array with the same key names as seen in the examples.
Edit `app/etc/local.xml` to configure:
Cm_Cache_Backend_Redis
127.0.0.1
6379
0
0
1
10
0
1
1
20480
gzip
0
tcp://redis-slave:6379
Cm_Cache_Backend_Redis
127.0.0.1
6379
1
0
1
57600
0
## High Availability and Load Balancing Support
### Redis Sentinel
You may achieve high availability and load balancing using [Redis Sentinel](http://redis.io/topics/sentinel). To enable use of Redis Sentinel the `server`
specified should be a comma-separated list of Sentinel servers and the `sentinel_master` option should be specified
to indicate the name of the sentinel master set (e.g. 'mymaster'). If using `sentinel_master` you may also specify
`load_from_slaves` in which case a random slave will be chosen for performing reads in order to load balance across multiple Redis instances.
Using the value '1' indicates to only load from slaves and '2' to include the master in the random read slave selection.
Example configuration:
Cm_Cache_Backend_Redis
tcp://10.0.0.1:26379,tcp://10.0.0.2:26379,tcp://10.0.0.3:26379
0.5
mymaster
1
1
### Load Balancer or Service Discovery
It is also possible to achieve high availability by using other methods where you can specify separate connection addresses for the
master and slave(s). The `load_from_slave` option has been added for this purpose and this option does *not*
connect to a Sentinel server as the example above, although you probably would benefit from still having a Sentinel setup purely for
the easier replication and failover.
Examples would be to use a TCP load balancer (e.g. HAProxy) with separate ports for master and slaves, or a DNS-based system that
uses service discovery health checks to expose master and slaves via different DNS names.
Example configuration:
Cm_Cache_Backend_Redis
tcp://redis-master:6379
tcp://redis-slaves:6379
0
0.5
### Static Configuration
You may also statically specify the master and slave servers by passing either an array to `load_from_slave` or a string
with multiple addresses separated by a comma.
Cm_Cache_Backend_Redis
tcp://redis-master:6379
tcp://redis-slave1:6379,tcp://redis-slave2:6379
0
0.5
### ElastiCache
The following example configuration lets you use ElastiCache Redis (cluster mode disabled) where the writes are sent to
the Primary node and reads are sent to the replicas. This lets you distribute the read traffic between the different nodes.
The instructions to find the primary and read replica endpoints are [here](http://docs.aws.amazon.com/AmazonElastiCache/latest/UserGuide/Endpoints.html#Endpoints.Find.Redis).
primary-endpoint.0001.euw1.cache.amazonaws.com
6379
0
1
replica-endpoint-1.jwbaun.0001.euw1.cache.amazonaws.com
6379
replica-endpoint-2.jwbaun.0001.euw1.cache.amazonaws.com
6379
#### DEPRECATION NOTICE
Previously the ElastiCache config instructions suggested setting up a `` node but this functionality was flawed
and is no longer supported. The config is still parsed and loaded for backwards-compatibility but chooses a random slave
to read from rather than using md5 hash of the keys.
# TUNING
- The recommended "maxmemory-policy" is "volatile-lru". All tag metadata is non-volatile, so it is
recommended to use key expirations unless non-volatile keys are absolutely necessary so that tag
data cannot get evicted. So, be sure that the "maxmemory" is high enough to accommodate all
the tag data and non-volatile data with enough room left for the volatile key data as well.
- Automatic cleaning is optional and not recommended since it is slow and uses lots of memory.
- Occasional (e.g. once a day) garbage collection is recommended if the entire cache is infrequently cleared and
automatic cleaning is not enabled. The best solution is to run a cron job which does the garbage collection.
(See "Example Garbage Collection Script" below.)
- Compression will have additional CPU overhead but may be worth it for memory savings and reduced traffic.
For high-latency networks it may even improve performance. Use the
[Magento Cache Benchmark](https://github.com/colinmollenhour/magento-cache-benchmark) to analyze your real-world
compression performance and test your system's performance with different compression libraries.
- gzip — Slowest but highest compression. Most likely you will not want to use above level 1 compression.
- lzf — Fastest compress, fast decompress. Install: `sudo pecl install lzf`
- snappy — Fastest decompress, fast compress. Download and install: [snappy](http://code.google.com/p/snappy/) and [php-snappy](http://code.google.com/p/php-snappy/)
- Monitor your redis cache statistics with my modified [munin plugin](https://gist.github.com/1177716).
- Enable persistent connections. Make sure that if you have multiple configurations connecting the persistent
string is unique for each configuration so that "select" commands don't cause conflicts.
- Increase your server's `lua-time-limit` if you are getting "BUSY" errors. This setting can also cause Redis Sentinel
to invoke fail-overs when you would probably prefer to let the Lua script finish and have clients wait a little longer.
- Use the `stats.php` script to inspect your cache to find over-sized or wasteful cache tags.
### Example Garbage Collection Script (Magento)
:P');
ini_set('memory_limit','1024M');
set_time_limit(0);
error_reporting(E_ALL | E_STRICT);
require_once 'app/Mage.php';
Mage::app()->getCache()->getBackend()->clean('old');
// uncomment this for Magento Enterprise Edition
// Enterprise_PageCache_Model_Cache::getCacheInstance()->getFrontend()->getBackend()->clean('old');
# DEVELOPMENT
Please feel free to send Pull Requests to give back your improvements to the community!
You can run the unit tests locally with just Docker installed using a simple alias:
```shell
alias cm-cache-backend-redis='docker run --rm -it -e REDIS_SERVER=host.docker.internal -u $(id -u):$(id -g) -v ${COMPOSER_HOME:-$HOME/.composer}:/tmp -v $(pwd):/app --workdir /app cm-cache-backend-redis'
docker build . -t cm-cache-backend-redis
```
Then start a Redis server, install Composer dependencies and run tests like so:
```shell
docker run --rm -d -p 6379 --name cm-cache-backend-redis redis --maxmemory 20m --maxmemory-policy noeviction
cm-cache-backend-redis composer install
cm-cache-backend-redis composer run-script test
cm-cache-backend-redis composer run-script php-cs-fixer -- --dry-run
```
```
@copyright Copyright (c) 2022 Colin Mollenhour
This project is licensed under the "New BSD" license (see source).
```