Example of redis queue operation (php)_PHP tutorial
Entry operation
$redis = new Redis ();
$redis->connect('127.0.0.1',6379);
while(True){
try{
$value = 'value_'.date('Y-m-d H :i:s');
$redis->LPUSH('key1',$value);
sleep(rand()%3);
echo $value."n";
}catch(Exception $e){
echo $e->getMessage()."n";
}
}
?>
out Team operation
$redis = new Redis();
$redis->pconnect('127.0.0.1',6379);
while(True){
try{
echo $redis->LPOP('key1')."n" ;
}catch(Exception $e){
echo $e->getMessage()."n";
}
sleep(rand()%3);
}? >
How to use Redis for queue operations
Reids is a relatively advanced open source key-value storage system, implemented in ANSI C. It is similar to memcached, but supports persistent data storage, and value supports multiple types: string (same as value in memcached), list, set (Set), ordered set (OrderSet) and Hash. All value types support atomic operations, such as appending and popping elements to lists, inserting and removing elements from collections, etc. Most of the data in Rdids is located in memory, and its read and write efficiency is very high. It provides two persistence methods: AOF (append operation record file) and DUMP (regular data backup). Redis supports a customized VM (virtual memory) mechanism. When the data capacity exceeds the memory, part of the Value can be stored in a file. At the same time, Redis supports the Master-Slave mechanism, which can perform data replication.
You can use the list structure of Redis as a queue.
From the above scenarios and functions of Redis, for our current development activities, in which scenarios can we introduce Redis instead of using such a good thing? What about the tragic situation that has evolved into "Redis for the sake of using Redis"? Of course, it is really important to analyze specific issues in detail.
Caching? Distributed cache?
Queue? Distributed queue?
Some system applications (such as telecommunications, banking and large-scale Internet applications, etc.) will use it. Of course, the now popular memcache is a good proof; but in a certain aspect, can memcache include both Which, and can do better (no practical application, so just throwing it out). But from Redis, I can feel that Redis can include both queues and caches, and will not cause trouble in a concurrent environment, because the operations in Redis are all atomic operations.
No need to comment on which one is better or worse, existence is the reason, choosing the one that suits you is the best.
Let’s start playing with the queue (distributed) design YY in Redis. Please give me some advice.
Situation scenario:
The current projects are deployed on multiple servers or multiple IPs, and the frontend is distributed through F5, so it is impossible to determine which server the user's request lands on. of. For the project, there is a flash kill design. This kind of deployment was not considered at the beginning. At the same time, it was also the easiest way to deal with it, directly locking row records in the database table (on Oracle). It can be said that for different application deployments and only one database server, this concurrency problem can be solved "easily". So now consider whether to move it to the application to prevent the database server from being involved in the business.
For example, there are currently 2 application servers and 1 database server. The idea is to deploy Redis on the database server. When the two servers operate concurrent cache or queue, they first obtain the proxy objects on the two application servers from the Redis server, and then perform the operation of listing the columns.
Look at the code implementation (PHP)
Enqueuing operation file list_push.php
$redis = getRedisInstance();//Get the redis instance from the Redis server
$redis->connect('Redis server IP', 6379);
while (true) {
$redis->lPush('list1', 'A_'.date('Y-m-d H:i:s'));
sleep(rand()%3);
}
?>
Execute #php list_push.php &
Dequeue operation list_pop.php file
$redis = getRedisInstance();//Get the redis instance from the Redis server
$redis->pconnect('Redis server IP' , 6379);
while(true) {
try {
var_export( $redis->blPop('list1', 10) );
} catch(Exception $e) {
//echo $e;
}
}
Implementation method (Python)
1. Queue (write.py)
#!/usr/bin/env python
import time
from redis import Redis
redis = Redis(host='127.0.0.1', port=6379)
while True:
now = time.strftime("%Y/%m/%d %H:%M:%S")
redis.lpush('test_queue', now)
time.sleep(1)
2. Dequeue (read.py)
#! /usr/bin/env python
import sys
from redis import Redis
redis = Redis(host='127.0.0.1', port=6379)
while True:
res = redis .rpop('test_queue')
if res == None:
pass
else:
print str(res)
When operating, please pay attention to the operation is the same list object.
Haha, the main idea now is almost like this, but in real scenes, there will be differences.

What’s still popular is the ease of use, flexibility and a strong ecosystem. 1) Ease of use and simple syntax make it the first choice for beginners. 2) Closely integrated with web development, excellent interaction with HTTP requests and database. 3) The huge ecosystem provides a wealth of tools and libraries. 4) Active community and open source nature adapts them to new needs and technology trends.

PHP and Python are both high-level programming languages that are widely used in web development, data processing and automation tasks. 1.PHP is often used to build dynamic websites and content management systems, while Python is often used to build web frameworks and data science. 2.PHP uses echo to output content, Python uses print. 3. Both support object-oriented programming, but the syntax and keywords are different. 4. PHP supports weak type conversion, while Python is more stringent. 5. PHP performance optimization includes using OPcache and asynchronous programming, while Python uses cProfile and asynchronous programming.

PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.

PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

PHP remains important in the modernization process because it supports a large number of websites and applications and adapts to development needs through frameworks. 1.PHP7 improves performance and introduces new features. 2. Modern frameworks such as Laravel, Symfony and CodeIgniter simplify development and improve code quality. 3. Performance optimization and best practices further improve application efficiency.

PHPhassignificantlyimpactedwebdevelopmentandextendsbeyondit.1)ItpowersmajorplatformslikeWordPressandexcelsindatabaseinteractions.2)PHP'sadaptabilityallowsittoscaleforlargeapplicationsusingframeworkslikeLaravel.3)Beyondweb,PHPisusedincommand-linescrip

PHP type prompts to improve code quality and readability. 1) Scalar type tips: Since PHP7.0, basic data types are allowed to be specified in function parameters, such as int, float, etc. 2) Return type prompt: Ensure the consistency of the function return value type. 3) Union type prompt: Since PHP8.0, multiple types are allowed to be specified in function parameters or return values. 4) Nullable type prompt: Allows to include null values and handle functions that may return null values.


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