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This article mainly explains "how to use Python to operate Redis under Windows". Interested friends may wish to have a look. The method introduced in this paper is simple, fast and practical. Let's let the editor take you to learn how to use Python to operate Redis under Windows.

First of all, let's talk about installing redis under windows, the installation package can be found on the official website, you can download msi installation files, you can also download zip compressed files.

After downloading the zip files, extract them, and then unzip them:

This windows service documentation.docx is a document with installation instructions and how to use it.

You can also download msi installation files directly and install them directly. These files are also found in the installation directory after installation, and you can configure redis.

After the installation is complete, you can test the redis. Double-click redis-cli.exe. If you do not report an error, you should connect to the local redis for a simple test:

Port 6379 is installed by default, and the test is successful.

You can also enter help to view help:

127.0.0.1 help redis-cli 3.2.100 to get help about redis commands type: "help @" to get a list of commands in "help" for help on "help" to get a list of possible help topics "quit" to exit to set redis-cli perferences: ": set hints" enable online hints ": set nohints" disable online hints set your preferences in ~ / .redisclirc

Let's talk about operating redis with python. If you use python to install redis, you need to install redis-py 's library.

1. Install redis-py

Easy_install redis can also be installed using pip install redis, or download and then perform a python setup.py install installation

2. Install parser installation

Parser can control how the contents of the redis response are parsed. Redis-py contains two parser classes, pythonparser and hiredisparser. By default, redis-py uses hiredisparser if the hiredis module is already installed, otherwise pythonparser is used. Hiredisparser is written by c and maintained by the redis core team, and its performance is more than 10 times higher than that of pythonparser, so it is recommended. Installation method, using easy_install:

Easy_install hiredis or pip install hiredis

3. Use python to operate redis

Redis-py provides two classes, redis and strictredis, to implement redis commands, while strictredis implements most official commands and uses official syntax and commands (for example, set commands correspond to strictredis.set methods). Redis is a subclass of strictredis and is used for backward compatibility with older versions of redis-py.

Import redis r = redis.strictredis (host='127.0.0.1', port=6379) r.set ('foo',' hello') r.rpush ('mylist',' one') print r.get ('foo') print r.rpop (' mylist')

Redis-py uses connection pool to manage all connections to a redis server, avoiding the overhead of establishing and releasing connections each time. By default, each redis instance maintains its own connection pool. You can directly establish a connection pool, and then as a parameter redis, so that multiple redis instances can share a connection pool.

Pool= redis.connectionpool (host='127.0.0.1', port=6379) r = redis.redis (connection_pool=pool) r.set ('one',' first') r.set ('two',' second') print r.get ('one') print r.get (' two')

The redis pipeline mechanism, which can execute multiple commands in a single request, avoids multiple round-trip delays.

Pool= redis.connectionpool (host='127.0.0.1', port=6379) r = redis.redis (connection_pool=pool) pipe = r.pipeline () pipe.set ('one',' first') pipe.set ('two',' second') pipe.execute () pipe.set ('one'. 'first'). Rpush (' list', 'hello'). Rpush (' list', 'world'). Execute ()

By default, the operation of redis-py in a pipeline is atomic. To change this way, you can pass in transaction=false

Pipe = r.pipeline (transaction=false) so far, I believe you have a deeper understanding of "how to use Python to operate Redis under Windows". You might as well do it in practice. Here is the website, more related content can enter the relevant channels to inquire, follow us, continue to learn!

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