How To Use Docker Volumes for Persistent Information Storage

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How To Use Docker Volumes for Persistent Information Storage


How To Use Docker Volumes for Persistent Information Storage
How To Use Docker Volumes for Persistent Information Storage

 

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

Stipulations

 

To observe together with this tutorial:

  • You must have Docker put in in your machine
  • You need to be snug 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 info. This quantity will persist the info 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 will 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/information 
	-p 5432:5432 
	postgres

 

This command runs my_postgres in indifferent mode. Utilizing –v pg_data:/var/lib/postgresql/information mounts the pg_data quantity to /var/lib/postgresql/information 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 will confirm it’s getting used. You possibly can examine the amount and test the contents.

$ docker quantity examine pgdata

 

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

 

Connect 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:

 

Connect with the brand new database:

 

Create a desk and insert some information:

CREATE TABLE customers (
    id SERIAL PRIMARY KEY,
    identify VARCHAR(100),
    electronic mail VARCHAR(100)
);

INSERT INTO customers (identify, electronic mail) VALUES ('Abby', '[email protected]'), ('Bob', '[email protected]');

 

Run a pattern question:

 

Output:

 id | identify |  	electronic mail  	 
----+------+------------------
  1 | Abby | [email protected]
  2 | Bob  | [email protected]

 

Step 6: Cease and Take away the Container

 

Cease the operating container and take away it. We do that so we will check that the info 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 information persistence.

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

 

Connect with the Postgres occasion and confirm that the info persists.

Open a psql session:

$ docker exec -it my_postgres psql -U postgres

 

Connect with the mydb database:

 

Confirm the info within the customers desk:

 

You must nonetheless see the output:

 id | identify |  	electronic mail  	 
----+------+------------------
  1 | Abby | [email protected]
  2 | Bob  | [email protected]

 

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

 

Extra Sources

 

To be taught extra, learn the next assets:

Completely happy exploring!

 
 

Bala Priya C is a developer and technical author from India. She likes working on the intersection of math, programming, information science, and content material creation. Her areas of curiosity and experience embody DevOps, information science, and pure language processing. She enjoys studying, writing, coding, and low! 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.