ApsaraDB RDS can be used together with ApsaraDB Memcache and Redis to form storage solutions with high throughput and low delay. This document describes the cached data persistence solution based on the combined use of RDS and Memcache.
Compared with RDS, Memcache and Redis have the following features:
- Quick response: The request delay of ApsaraDB Memcache and Redis is usually within several milliseconds.
- The cache area supports a higher Queries Per Second (QPS) than RDS.
- bmemcached (with support for SASL extension) has been installed in the local environment
bmemcached download address: Click Here to download.
The bmemcached installation command is as follows:
pip install python-binary-memcached
- Python is used as an example. Python and pip must be installed in the local environment or ECS.
The following sample code realizes the combined use of ApsaraDB RDS and Memcache:
/usr/bin/env python import bmemcached Memcache_client = bmemcached.Client((‘ip:port’), ‘user’, ‘passwd’) #Search for a value in ApsaraDB Memcache res = os.client.get(‘test’) if res is not None: return res #Return the value found else: #Query RDS if the value is not found res = mysql_client.fetchone(sql) Memcache_client.put(‘test’, res) #Write cached data to ApsaraDB for Memcache return res