Tag: redis

Caching large data with Redis

February 23rd, 2023
Reading Time: 2 minutes
Caching is a key component of any application’s architecture. It enables developers to create fast, responsive apps that are able to handle large workloads and support concurrent operations. Redis, an in-memory data structure store, is an increasingly popular choice for caching large data. This post will explore how Redis works and why it is a great choice for caching large data. Redis stores data in key-value pairs and uses a data structure that is well suited for caching.

Redis is an open-source database

Caching is an important aspect of web development that helps to speed up the performance of websites and applications. One of the most commonly used caching systems is Redis. This in-memory data structure store can be used as a database, cache, and message broker, making it an ideal choice for caching large amounts of data.

When it comes to large data sets, traditional databases can be slow, leading to poor performance for users. Caching this data in Redis can help to speed things up dramatically. Redis stores data in memory, making it incredibly fast compared to disk-based databases like MySQL. This means that when the same data is requested multiple times, Redis can quickly retrieve it from memory, rather than having to go through the slower process of retrieving it from disk.

Another advantage of using Redis for caching large data is its ability to support multiple data structures. Redis supports a variety of data structures such as strings, hashes, lists, sets, and sorted sets. This makes it an ideal choice for storing complex data structures that can be quickly retrieved and manipulated. For example, if you have a large product catalog, you can store it in Redis as a hash, with each product represented as a key-value pair. This makes it easy to quickly retrieve individual products, or to search the catalog for specific products.

Redis also has built-in support for data expiration, which means you can set a time limit for how long data should be stored in the cache. This is especially useful for data that changes frequently or becomes stale over time. By setting an expiration time for this data, you can ensure that it is automatically removed from the cache and updated from the database when necessary.

In terms of scalability, Redis is highly scalable and can handle large amounts of data without slowing down. It can be easily set up as a distributed cache, which allows you to split the data across multiple nodes, providing greater scalability and reliability.

In conclusion, caching large data with Redis can have a significant impact on the performance and scalability of your website or application. With its in-memory storage, support for multiple data structures, and built-in support for data expiration, Redis is an ideal choice for caching large amounts of data. Whether you’re looking to speed up your website, improve scalability, or store complex data structures, Redis is definitely worth considering as your caching solution.
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redis delete all keys with prefix

January 29th, 2023
Reading Time: < 1 minutes
Redis, one of the most popular open-source in-memory databases, provides a simple and straightforward way to delete all keys with a given prefix. This can be done with the help of the **KEYS** and **DEL** commands. First, use **KEYS** to find all keys with a given prefix. This command will search all keys within the given database and return all matching keys in an array. Next, use **DEL** to delete all these keys. For example, if you wanted to delete all

Delete all the keys by a given prefix in a Redis cluster.

Let’s ping our Redis instance
```
   
redis-cli -h myhost.com -p 6379 ping
   
```
Set some keys
```
   
redis-cli -h myhost.com -p 6379 SET dev1 "val1"
redis-cli -h myhost.com -p 6379 SET dev2 "val2"
redis-cli -h myhost.com -p 6379 SET dev3 "val3"
   
```
Get one key
```
   
redis-cli -h myhost.com -p 6379 KEYS dev1 
   
```
Delete one key
```
   
redis-cli -h myhost.com -p 6379 DEL dev1 
   
```
Now let’s go with our massive deletion algorithm but before making any deletion let’s test the algorithm without making changes.
```
   
for key in `echo 'KEYS dev*' | redis-cli -c -h myhost.com -p 6379 | awk '{print $1}'`
  do echo KEYS $key
done | redis-cli -c -h myhost.com -p 6379
   
```
And then when you are sure, go ahead with the deletion
```
   
for key in `echo 'KEYS dev*' | redis-cli -c -h myhost.com -p 6379 | awk '{print $1}'`
  do echo DEL $key
done | redis-cli -c -h myhost.com -p 6379
   
```
In case you are not using a cluster just remove the -c options from redis-cli

Photo by Sam Pak on Unsplash
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redis delete all keys

January 14th, 2022
Reading Time: < 1 minutes

Delete all the keys by a given prefix in a Redis cluster.

Let’s ping our Redis instance
```
   
redis-cli -h myhost.com -p 6379 ping
   
```
Set some keys
```
   
redis-cli -h myhost.com -p 6379 SET dev1 "val1"
redis-cli -h myhost.com -p 6379 SET dev2 "val2"
redis-cli -h myhost.com -p 6379 SET dev3 "val3"
   
```
Get one key
```
   
redis-cli -h myhost.com -p 6379 KEYS dev1 
   
```
Delete one key
```
   
redis-cli -h myhost.com -p 6379 DEL dev1 
   
```
Now let’s go with our massive deletion algorithm but before making any deletion let’s test the algorithm without making changes.
```
   
for key in `echo 'KEYS dev*' | redis-cli -c -h myhost.com -p 6379 | awk '{print $1}'`
  do echo KEYS $key
done | redis-cli -c -h myhost.com -p 6379
   
```
And then when you are sure, go ahead with the deletion
```
   
for key in `echo 'KEYS dev*' | redis-cli -c -h myhost.com -p 6379 | awk '{print $1}'`
  do echo DEL $key
done | redis-cli -c -h myhost.com -p 6379
   
```
In case you are not using a cluster just remove the -c options from redis-cli

Photo by Markus Winkler on Unsplash
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Delete all keys by a prefix in Redis cluster

May 11th, 2021
Reading Time: < 1 minutes

Delete all the keys by a given prefix in a Redis cluster.

Let’s ping our Redis instance
```
   
redis-cli -h myhost.com -p 6379 ping
   
```
Set some keys
```
   
redis-cli -h myhost.com -p 6379 SET dev1 "val1"
redis-cli -h myhost.com -p 6379 SET dev2 "val2"
redis-cli -h myhost.com -p 6379 SET dev3 "val3"
   
```
Get one key
```
   
redis-cli -h myhost.com -p 6379 KEYS dev1 
   
```
Delete one key
```
   
redis-cli -h myhost.com -p 6379 DEL dev1 
   
```
Now let’s go with our massive deletion algorithm but before making any deletion let’s test the algorithm without making changes.
```
   
for key in `echo 'KEYS dev*' | redis-cli -c -h myhost.com -p 6379 | awk '{print $1}'`
  do echo KEYS $key
done | redis-cli -c -h myhost.com -p 6379
   
```
And then when you are sure, go ahead with the deletion
```
   
for key in `echo 'KEYS dev*' | redis-cli -c -h myhost.com -p 6379 | awk '{print $1}'`
  do echo DEL $key
done | redis-cli -c -h myhost.com -p 6379
   
```
In case you are not using a cluster just remove the -c options from redis-cli

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Install and run Redis locally

May 11th, 2021
Reading Time: < 1 minutes

The easiest way is through Brew, a package manager. So if you have not installed yet, run this:
```
      
$ /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install.sh)"
      
    
```
```
      
$ brew update
$ brew install redis
      
    
```
Start the service
```
      
$ brew services start redis
      
    
```
Ping in order to see if it is running properly
```
      
$ redis-cli ping
PONG
      
    
```
Another option is to enter to the prompt and run commands from there
```
      
$ redis-cli
127.0.0.1:6379> ping
PONG
      
    
```
To stop the service run:
```
      
$ brew services stop redis
      
    
```
Redis configuration file:
```
      
/usr/local/etc/redis.conf
      
    
```
Uninstall Redis and all related files.
```
      
$ brew uninstall redis
$ rm ~/Library/LaunchAgents/homebrew.mxcl.redis.plist
  
    
```
Now you can play with more commands such as Delete all keys by a prefix in Redis cluster

Guide based on this document

Photo by Carl Nenzen Loven on Unsplash
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