Setting Up Oracle 23ai in a Docker Container Using the Free Edition for Linux
In the world of database management, Oracle 23ai stands out with its advanced features and capabilities. Setting it up in a Docker container is a great way to leverage these features in a scalable and isolated environment. This guide will walk you through the steps to set up Oracle 23ai Free Edition for Linux in a Docker container.
Prerequisites
Before we begin, ensure you have the following installed:
- Docker
- Docker Compose (optional, but recommended)
For this guide, we will be using Oracle Linux 8 as the Linux distribution. You can download and install Oracle Linux from the official Oracle Linux download page.
Step 1: Downloading the Latest Oracle 23ai Docker Image
Header: Downloading the Latest Oracle 23ai Docker Image
Oracle provides a pre-built Docker image for Oracle 23ai Free Edition. You can download the latest version of this image from the Oracle Container Registry or Docker Hub. Here’s how:
docker pull container-registry.oracle.com/database/free:latest
This command will download the latest version of the Oracle 23ai Free Edition Docker image to your system.
Step 2: Create a Docker Network
Header: Creating a Docker Network
It’s good practice to create a dedicated Docker network for your database container. This network will allow you to easily connect to the database from other containers.
docker network create oracle_network
This command creates a new Docker network named oracle_network
.
Step 3: Run the Oracle 23ai Container
Header: Running the Oracle 23ai Container
Now, let’s run the Oracle 23ai container. Replace <password>
with a strong password of your choice:
docker run -d --name oracle23ai \ --network=oracle_network \ -p 1527:1521 \ -e ORACLE_SID=FREE \ -e ORACLE_PDB=FREEPDB1 \ -e ORACLE_PWD=YourStr0ngP@$$W0rD \ -v oracle_data:/opt/oracle/oradata \ container-registry.oracle.com/database/free:latest
This command will start a new container named oracle23ai
with the specified environment variables and port mappings. The -v oracle_data:/opt/oracle/oradata
option ensures that your data is stored in a Docker volume named oracle_data
.
Step 4: Verify the Container is Running
Header: Verifying the Container
Check if the container is running by executing:
You should see a container named oracle23ai
in the list. If the container is running, it means your Oracle 23ai database is up and running in the Docker container.
Step 5: Connect to the Oracle Database
Header: Connecting to the Oracle Database
You can connect to the Oracle database using SQLPlus, Oracle SQL Developer, or any other SQL client.
Here is one with using VSCode with the Oracle SQLDeveloper Extension for VS Code
Step 6: Persist Data with Docker Volumes
Header: Ensuring Data Persistence
To ensure your data persists across container restarts, we’ve already used a Docker volume in the docker run
command (-v oracle_data:/opt/oracle/oradata
). This volume stores the Oracle data files on your host machine, ensuring that your data is not lost when the container is stopped or removed.
Step 7: Managing the Oracle Container
Header: Managing the Oracle Container
Here are a few useful Docker commands for managing your Oracle container:
Stop the container:
docker stop oracle23ai
Start the container:
docker start oracle23ai
Remove the container:
docker rm -f oracle23ai
These commands allow you to easily manage the lifecycle of your Oracle 23ai container.
Conclusion
Setting up Oracle 23ai in a Docker container is a straightforward process that allows you to leverage Oracle’s powerful database capabilities in a flexible and isolated environment. With this setup, you can easily manage your database, ensuring data persistence and smooth operation.
Happy databasing!
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