angoca/db2-sample repository overview

⁠Supported tags

• latest

⁠What is DB2?

IBM DB2 is a family of database server products developed by IBM. These products all support the relational model, but in recent years some products have been extended to support object-relational features and non-relational structures, in particular XML.

Historically and unlike other database vendors, IBM produced a platform-specific DB2 product for each of its major operating systems. However, in the 1990s IBM changed track and produced a DB2 "common server" product, designed with a common code base to run on different platforms.

• wikipedia.org/wiki/IBM_DB2⁠
• DB2 LUW⁠
• DB2 Express-C⁠

⁠Set of images

This image is part of a set of images to create your DB2 environment:

• db2-install: Download and install DB2/⁠
• db2-instance: Configures the environment to create an instance⁠
• db2inst1 (Without Dockerfile)⁠
• db2-sample (Without Dockerfile)⁠

This is the stack of images:

+----------------+
|   db2-sample   |  <-- Sample database (db2sampl)
+----------------+
|    db2inst1    |  <-- Default instance created (db2inst1:50000)
+----------------+
|  db2-instance  |  <-- Environment to create an instance
+----------------+
|   db2-install  |  <-- DB2 Express-C installed
+----------------+

⁠How to use this image

This image contains a created sample database on a DB2 instance called db2inst1 listening on port 50000. This image is not created from a Dockerfile. Instead, it uses a previous image ( angoca/db2inst1⁠ ) and then creates the sample database (db2sampl).

You can directly use this image by typing:

sudo docker run angoca/db2-sample

⁠User Feedback

⁠Issues

If you have any problems with or questions about this image, please contact us through a GitHub issue⁠.

You can also reach the mainteiner via Twitter @angoca⁠.

⁠Contributing

You are invited to contribute new features, fixes, or updates, large or small; we are always thrilled to receive pull requests, and do our best to process them as fast as we can.

Before you start to code, we recommend discussing your plans through a GitHub issue, especially for more ambitious contributions. This gives other contributors a chance to point you in the right direction, give you feedback on your design, and help you find out if someone else is working on the same thing.