Coder Social home page Coder Social logo

docker-dataguard's Introduction

docker-dataguard

Files for building an Oracle Data Guard database in Docker

Currently working for version 19.3.

Disclaimer

This is intended as an educational tool for learning and experimenting with Data Guard.

Want to understand how switchover works? Nice! Interested in learning more about Data Guard? Welcome! Need identical labs for students in a class or workshop? Awesome! Hacking out a preliminary demo solution or proof of concept? Cool! Want a portable, lightweight, fully functional Data Guard that runs on a laptop in Economy class? Enjoy! Use this to protect a production environment? Bad idea.

What does it do?

This creates two containers each hosting Oracle databases and configures them as a Data Guard primary/secondary.

The primary database is built much the same as in an ordinary Docker build. Additional configurations and parameters are added to satisfy the requirements of Data Guard. Standby redo logs are added.

Meanwhile the standby database is initiated but does not run DBCA.

When the database configuration on the primary is complete, it begins an RMAN duplicate and instantiates the standby database.

Data Guard broker is invoked to create a configuration and add the databases. It also adds static connect identifiers to overcome issues arising from Docker's host-naming.

The containers are visible across the Docker network by the names assigned in the compose yaml file (default are DG11 and DG21) and all TNS/networking operations can be conduced using those aliases.

The two containers are built with an environment variable called ROLE. This is initially set to PRIMARY and STANDBY to faciliate the intial installation. Once database is creation is complete the variable has no meaning. The role of a database is determined at startup in the startDB.sh script by querying the current role of the instance. This allows the database to be started/resume the correct role through a start/stop of compose.

NOTE: Data Guard requires your database to be in archivelog mode. Manage archive log directories accordingly.

Information

The 19.3 database image is 6.65G.

> docker images 
REPOSITORY                         TAG                 IMAGE ID            CREATED             SIZE
oracle/database                    19.3.0-ee           ea261e0fff26        2 hours ago         6.65GB

The default build opens ports 1521 and 5500. It translates port 1521 to 1211 on the first host and 1212 on the second. This may be changed in docker-compose.yml.

The default build maps the data volume to a local directory on the host. Change or remove this in the docker-compose.yml.

Errata

The setupLinuxEnv.sh script for this build includes vi and less for troubleshooting purposes. If you're looking for a very slightly smaller image, remove them. :)

Setup

Set Docker's memory limit to at least 8G

Prerequisites

This repo is built on the Oracle Docker repository: https://github.com/oracle/docker-images

Download the following files from Oracle OTN:

LINUX.X64_193000_db_home.zip

Set the environment

The ORADATA_VOLUME is for persisting data for the databases. Each database will inhabit a subdirectory of ORADATA_VOLUME based on the database unique name. DG_DIR is the base directory for this repo.

export COMPOSE_YAML=docker-compose.yml
export DB_VERSION=19.3.0
export IMAGE_NAME=oracle/database:${DB_VERSION}-ee
export ORADATA_VOLUME=~/oradata
export DG_DIR=~/docker-dataguard

Copy the downloaded Oracle database installation files to the DG directory:

cp LINUX.X64_193000_db_home.zip $DG_DIR/$DB_VERSION

Navigate to the DG directory

cd $DG_DIR

Run the build to create the oracle/datbase:19.3.0-ee Docker image

./buildDockerImage.sh -v 19.3.0 -e

Run compose (detached)

docker-compose up -d

Tail the logs

docker-compose logs -f

Testing

The build has been tested by starting the databases under docker-compose and running DGMGRL validations and switchover through a variety of scenarios. It correctly resumes the configuration across stops/starts of docker-compose.

Please report any issues to [email protected]. Thanks!

CUSTOM CONFIGURATION

Database configurations

Customize a configuration file for setting up the contaner hosts using the following format if the existing config_dataguard.lst does not meet your needs. This file is used for automated setup of the environment.

The pluggable database is ${ORACLE_SID}PDB1. The default configuration is:

cat << EOF > $DG_DIR/config_dataguard.lst
# Host | ID | Role    | DG Cfg | SID  | DB_UNQNAME | DG_TARGET | ORACLE_PWD
DG11   | 1  | PRIMARY | DG1    | DG11 | DG11       | DG21      | oracle
DG21   | 2  | STANDBY | DG1    | DG11 | DG21       | DG11      | oracle
EOF

Docker compose file, TNS configuration

If the ORACLE_SID or host names are changed, the TNS configuration must be update to match.

Create a docker-compose file using a custom configuration and build the tnsnames.ora, listener.ora files

The createCompose.sh script will create the yaml file and the necessary TNS entries by reading the config file:

./createCompose.sh

Cleanup

To stop compose, remove any existing image and prune the images:

docker-compose down
docker rmi oracle/database:19.3.0-ee
docker image prune <<< y

Clear out the ORADATA volume

if [[ "$ORADATA_VOLUME" ]] && [ -d "$ORADATA_VOLUME" ]
  then rm -Rf $ORADATA_VOLUME/DG*
fi
#rm -Rf ~/oradata/DG*

docker-dataguard's People

Contributors

oraclesean avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.