How To Use Docker Volumes for Persistent Knowledge Storage

How To Use Docker Volumes for Persistent Data Storage

When utilizing Docker, you should utilize volumes to persist knowledge even whenever you cease or restart the containers. We’ll create and use Docker volumes for PostgreSQL.

Stipulations

To comply with together with this tutorial:

You must have Docker put in in your machine
You ought to be comfy with Docker instructions and PostgreSQL

Step 1: Pull the PostgreSQL Picture

First, we pull the PostgreSQL picture from DockerHub:

Step 2: Create a Docker Quantity

Subsequent, let’s create a Docker quantity to retailer the information. This quantity will persist the information even when the container is eliminated.

$ docker quantity create pg_data

Step 3: Run the PostgreSQL Container

Now that we’ve pulled the picture and created a quantity, we are able to run the PostgreSQL container attaching the created quantity to it.

$ docker run -d 
	--name my_postgres 
	-e POSTGRES_PASSWORD=mysecretpassword 
	-v pg_data:/var/lib/postgresql/knowledge 
	-p 5432:5432 
	postgres

This command runs my_postgres in indifferent mode. Utilizing –v pg_data:/var/lib/postgresql/knowledge mounts the pg_data quantity to /var/lib/postgresql/knowledge within the container. And utilizing -p 5432:5432 maps port 5432 of my_postgres to port 5432 on the host machine.

Step 4: Confirm the Quantity Utilization

Now that we’ve created the amount, we are able to confirm it’s getting used. You possibly can examine the amount and verify the contents.

$ docker quantity examine pgdata

Operating this command will present particulars in regards to the quantity, together with its mount level in your host system. You possibly can navigate to this listing and see the PostgreSQL knowledge recordsdata.

[
	{
    	"CreatedAt": "2024-08-07T15:53:23+05:30",
    	"Driver": "local",
    	"Labels": null,
    	"Mountpoint": "/var/lib/docker/volumes/pg_data/_data",
    	"Name": "pg_data",
    	"Options": null,
    	"Scope": "local"
	}
]

Step 5: Create a Database and Desk

Hook up with the Postgres occasion and create a database and desk.

Begin a psql session:

$ docker exec -it my_postgres psql -U postgres

Create a brand new database:

Hook up with the brand new database:

Create a desk and insert some knowledge:

CREATE TABLE customers (
    id SERIAL PRIMARY KEY,
    identify VARCHAR(100),
    e mail VARCHAR(100)
);

INSERT INTO customers (identify, e mail) VALUES ('Abby', 'abby@instance.com'), ('Bob', 'bob@instance.com');

Run a pattern question:

Output:

 id | identify |  	e mail  	 
----+------+------------------
  1 | Abby | abby@instance.com
  2 | Bob  | bob@instance.com

Step 6: Cease and Take away the Container

Cease the operating container and take away it. We do that so we are able to take a look at that the information persists even when the container is stopped.

$ docker cease my_postgres
$ docker rm my_postgres

Step 7: Re-run the Postgres Container with the Similar Quantity

Begin a brand new PostgreSQL container with the identical quantity to make sure knowledge persistence.

$ docker run -d 
	--name my_postgres 
	-e POSTGRES_PASSWORD=mysecretpassword 
	-v pgdata:/var/lib/postgresql/knowledge 
	-p 5432:5432 
	postgres

Hook up with the Postgres occasion and confirm that the information persists.

Open a psql session:

$ docker exec -it my_postgres psql -U postgres

Hook up with the mydb database:

Confirm the information within the customers desk:

You must nonetheless see the output:

 id | identify |  	e mail  	 
----+------+------------------
  1 | Abby | abby@instance.com
  2 | Bob  | bob@instance.com

I hope this tutorial helps you perceive how one can use volumes to persists knowledge when working with Docker.

Further Sources

To study extra, learn the next sources:

Completely satisfied exploring!

Bala Priya C is a developer and technical author from India. She likes working on the intersection of math, programming, knowledge science, and content material creation. Her areas of curiosity and experience embrace DevOps, knowledge science, and pure language processing. She enjoys studying, writing, coding, and occasional! Presently, she’s engaged on studying and sharing her information with the developer group by authoring tutorials, how-to guides, opinion items, and extra. Bala additionally creates partaking useful resource overviews and coding tutorials.