Tutorial: Install Redis in Ubuntu - Linux

sc0v0ne - Mar 6 - - Dev Community

Follow the steps below to install Redis:

You will open the terminal and type:

sudo apt-get update
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Install build-essential

sudo apt-get install build-essential -y
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Now you will access the Redis website

Click on download

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Then click on Download the version that appears to you, and you can update it after publishing this post.

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To save:

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Now in the terminal you will access the downloads folder

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Then you will unzip the file

tar -xvzf redis-7.2.4.tar.gz 

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Rename the file

mv redis-7.2.4 redis

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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
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mv redis ~/.redis

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You will now access the new location:

cd ~

cd .redis
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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
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Now inside the .redis folder you will execute the following commands.

This step to compile:

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Then run the tests and check:

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Now open your .bashrc file and add the folder path

PATH=$PATH:/home/eddi/.redis/src
export PATH
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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:~$ 

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If no error appears, installation was successful.

Simpler alternative

Install the necessary libraries

sudo apt install lsb-release curl gpg
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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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About the author:

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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