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Dockerfile and scripts for creating IBM DB2 Express-C Docker image

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![Image of DB2 Logo] (https://s3.amazonaws.com/ibm.products.us-east-1/db2/db2_logo_image.png)

What is IBM DB2 Express-C ?

``IBM DB2 Express-C``` is the no-charge community edition of DB2 server, a simple, flexible, powerful, and reliable relational database server. It is easy to install, embed, deploy, and available for download, deployment, and redistribution at no charge

  • Uses Time Travel Query to provide bi-temporal data management.
  • Delivers an integrated tools environment with IBM Data Studio for easier management and development.
  • Includes Graph Store technology to efficiently store graph triples for reduced costs and enhanced performance.
  • Contains the SQL Compatibility feature making it easier to run applications written for other major databases, on DB2.

IBM DB2 Express-C is available for download and deployment at no charge. Optional yearly subscription is available for users who require technical support or additional functionality, such as High Availability, Row and Column Access Control and SQL Replication.

DB2 for Linux, UNIX and Windows

DB2 Express-C

[Resource Center](http://www-01.ibm.com/software/data/db2/linux-unix-windows/library.html#Information centers)

#Supported tags

  • latest (10.5.0.5)
  • 10.5.0.5,

The supported tags stands for <db2 version>. DB2 Docker images can be deployed on a Docker Engine with any flavour of Linux , as long as it has the compatible kernel-3.10.0 or later, like CentOS 7 respectively.

  • Please make sure your Docker Engine has a compatible Linux kernel
  • Please use Docker 1.6.0 or later release on Ubuntu Docker Engine or Boot2Docker since there is a known issue with [aufs and direct io] (moby/moby#10534)

#How to use this image ? This docker image has to be deployed to Docker Engine on one of supported Cloud providers or your own system. The instructions for creating Docker Engine vary by Cloud provider. We recommend to use [Docker Machine (beta)] (https://docs.docker.com/machine/) to provision Docker Engine.

In order to use the image, it is necessary to accept the terms of the DB2 Express-C license. This is achieved by specifying the environment variable LICENSE equal to accept when running the image.

This docker image contained pre-deployed DB2 Express-C with the default DB2 instance, db2inst1.

##1. Start a container

docker run --name db2expc -d -p 50000:50000 -e DB2INST1_PASSWORD=db2inst1-pwd -e LICENSE=accept db2express-c:latest -d
  • db2expc, a container name created while starting Docker container.
  • -p 50000:50000 exposes port 50000 to allow connections from the remote client.
  • By specifying -e DB2INST1_PASSWORD=db2inst1-pwd parameter, you set a password of your choice for the db2inst1 user for the default DB2 instance.
  • By specifying -e LICENSE=accept parameter, you are accepting this License to use the software contained in this image.

##3. Note

###1) How to create sample DB Please start an interactive bash shell against a running container

docker exec -it db2expc  bash
  • db2expc, a container name created while starting Docker container

Then, please switch to the default db2 instance user db2inst1 to create a sample database if you want :

$ su - db2inst1
$ db2sampl
  • The time of creating a sample database depends on your system performance, which may take several minutes.
  • You can create another database using db2 create db <dbname> command.

###2) DB2 is deployed in the Docker Engine in:

 /home/db2inst1

#License

The Dockerfile and associated scripts are licensed under the Apache License 2.0. DB2 Express-C is licensed under the IBM International License Agreement for Non-Warranted Programs. This license for DB2 Express-C can be found online. Note that this license does not permit further distribution.

#Supported Docker versions

####This image is officially supported on Docker version 1.6.0. ####Support for older versions (down to 1.0) is provided on a best-effort basis.

#Community Support

Zhong Yu (Leo) Wu ( [email protected] )

Emerging Technology Team ( [email protected] ), IBM Analytics Platform

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