Recently I was looking for a free and easy-to-use Redis client tool, so I found AnotherRedisDesktopManager, which has a beautiful interface and supports Redis clusters. I recommend it to everyone!
RedisDesktopManager
I have been using RedisDesktopManager, a Redis client tool. Since the interface has not been updated for a long time, it is a bit old. Recently I wanted to update and upgrade. I went to the official website and found that it was charged...
AnotherRedisDesktopManager
So I went to Github and found another RedisDesktopManager. The interface is beautiful and free. When I saw the number of Stars was 8K+, it was a bit amazing! I decided to use it.
use
installation
- First, we need to download the installation package, and then double-click to install it. Download address: https://github.com/qishibo/AnotherRedisDesktopManager/releases
- After the installation is complete, click New Connection to connect to Redis. You can find the Cluster option. The old version of RedisDesktopManager used before does not support Redis cluster. This tool supports it very well!
Dark mode
The interface mode we are currently using is light mode, and dark mode can be turned on from the settings, which is still very cool!
Command Line
Support using Redis command line, click the Redis console button to open it.
Redis data manipulation
- Use the newly added Key function to store key-value pair data in Redis, currently supports 5 data structures;
- Let's first store the key-value pair data of the String type. We can find that it supports three displays: text, JSON, and deserialization, and the JSON support works well;
- Then store the key-value pairs of the List type, and find that the data in the List can be manipulated like a table;
- Then, to store the key-value pairs of the Hash type, the data in the HashMap can still be manipulated like a table.
Cluster mode
- Now that the client supports cluster mode, let's try it too. First, we need to build a Redis cluster
- After creating a Redis cluster, you can connect to any Redis service to access the cluster. Note that our Redis service running port is 6391~6396, we first connect to the 6391 service;
- After storing a key-value pair data in the Redis cluster, connect to another Redis service 6392 and find that the data can still be viewed;
- After deleting the data, both connections can no longer see the data, which proves that the Redis cluster can be operated normally;
