Follow the steps below to install Redis:
You will open the terminal and type:
sudo apt-get update
Install build-essential
sudo apt-get install build-essential -y
Now you will access the Redis website
Click on download
Then click on Download the version that appears to you, and you can update it after publishing this post.
To save:
Now in the terminal you will access the downloads folder
Then you will unzip the file
tar -xvzf redis-7.2.4.tar.gz
Rename the file
mv redis-7.2.4 redis
You will move the redis folder to an accessible location
First you need to create the folder if you don't have one.
# ~/.redis
mkdir .redis
mv redis ~/.redis
You will now access the new location:
cd ~
cd .redis
Now inside this folder there is the redis folder, move the files from inside to outside and remove the empty folder.
mv redis/* ~/.redis
rm -r redis
Now inside the .redis folder you will execute the following commands.
This step to compile:
Then run the tests and check:
Now open your .bashrc file and add the folder path
PATH=$PATH:/home/eddi/.redis/src
export PATH
Close the terminal and open it again and perform the following commands.
sc0v0ne@machine-popos:~$ redis-cli --version
redis-cli 7.2.4
sc0v0ne@machine-popos:~$ redis-server --version
Redis server v=7.2.4 sha=00000000:0 malloc=jemalloc-5.3.0 bits=64 build=817811e6323dbe4b
sc0v0ne@machine-popos:~$
If no error appears, installation was successful.
Simpler alternative
Install the necessary libraries
sudo apt install lsb-release curl gpg
Then run:
curl -fsSL https://packages.redis.io/gpg | sudo gpg --dearmor -o /usr/share/keyrings/redis-archive-keyring.gpg
echo "deb [signed-by=/usr/share/keyrings/redis-archive-keyring.gpg] https://packages.redis.io/deb $(lsb_release -cs) main" | sudo tee /etc/apt/sources.list.d/redis.list
sudo apt-get update
sudo apt-get install redis
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A little more about me...
Graduated in Bachelor of Information Systems, in college I had contact with different technologies. Along the way, I took the Artificial Intelligence course, where I had my first contact with machine learning and Python. From this it became my passion to learn about this area. Today I work with machine learning and deep learning developing communication software. Along the way, I created a blog where I create some posts about subjects that I am studying and share them to help other users.
I'm currently learning TensorFlow and Computer Vision
Curiosity: I love coffee
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