Git Product home page Git Product logo

debezium-connector-db2's Introduction

License Maven Central Build Status User chat Developer chat Google Group Stack Overflow

Copyright Debezium Authors. Licensed under the Apache License, Version 2.0.

Debezium Connector for Db2

Debezium is an open source project that provides a low latency data streaming platform for change data capture (CDC).

This repository contains incubating connector for Db2 which is in an early stage of its development. You are encouraged to explore this connector and test it, but it is not recommended yet for production usage. E.g. the format of emitted messages may change, specific features may not be implemented yet etc.

Documentation on how to use the connector and the internal workings can be found here. See in this Dockerfile how this script is used to set up CDC tables in the docker DB2 instance. ASNCDC.ADDTABLE and ASNCDC.REMOVETABLE in asncdcaddremove.sql can be conveniently used to add and remove tables from CDC.

Building and testing the Db2 connector

Building this connector first requires the main debezium code repository to be built locally using mvn clean install.

Then after, run Db2 using mvn install will compile all code and run the unit and integration tests. If there are any compile problems or any of the unit tests fail, the build will stop immediately. Otherwise, the command will continue to create the module's artifacts, create the Docker image with DB2 and custom scripts, start the Docker container, run the integration tests, stop the container (even if there are integration test failures), and run checkstyle on the code. If there are still no problems, the build will then install the module's artifacts into the local Maven repository.

An integration test is a JUnit test class named *IT.java or IT*.java that uses a DB2 database server running in a custom Docker container based upon the ibmcom/db2 Docker image maintained by the DB2 team. The build will automatically start the DB2 container before the integration tests are run and automatically stop and remove it after all of the integration tests complete (regardless of whether they succeed or fail). All databases used in the integration tests are defined and populated using *.sql files and *.sh scripts in the src/test/docker/db2-cdc-docker directory, which are copied into the Docker image and run by DB2 upon startup. Multiple test methods within a single integration test class can reuse the same database, but generally each integration test class should use its own dedicated database(s).

You should always default to using mvn install, especially prior to committing changes to Git. However, there are a few situations where you may want to run a different Maven command. For details on running individual tests or inspecting the Db2 database for debugging continue reading below.

Using the DB2 connector with Kafka Connect

The DB2 connector is designed to work with Kafka Connect and to be deployed to a Kafka Connect runtime service. The deployed connector will monitor one or more databases and write all change events to Kafka topics, which can be independently consumed by one or more clients. Kafka Connect can be distributed to provide fault tolerance to ensure the connectors are running and continually keeping up with changes in the database.

Kafka Connect can also be run standalone as a single process, although doing so is not tolerant of failures.

Embedding the DB2 connector

The DB2 connector can also be used as a library without Kafka or Kafka Connect, enabling applications and services to directly connect to a DB2 database and obtain the ordered change events. This approach requires the application to record the progress of the connector so that upon restart the connect can continue where it left off. Therefore, this may be a useful approach for less critical use cases. For production use cases, we highly recommend using this connector with Kafka and Kafka Connect.

Testing

This module contains both unit tests and integration tests.

A unit test is a JUnit test class named *Test.java or Test*.java that never requires or uses external services, though it can use the file system and can run any components within the same JVM process. They should run very quickly, be independent of each other, and clean up after itself.

An integration test is a JUnit test class named *IT.java or IT*.java that uses a DB2 database server running in a custom Docker container based upon the ibmcom/db2 Docker image maintained by the DB2 team. The build will automatically start the DB2 container before the integration tests are run and automatically stop and remove it after all of the integration tests complete (regardless of whether they suceed or fail). All databases used in the integration tests are defined and populated using *.sql files and *.sh scripts in the src/test/docker/db2-cdc-docker directory, which are copied into the Docker image and run by DB2 upon startup. Multiple test methods within a single integration test class can reuse the same database, but generally each integration test class should use its own dedicated database(s).

Running mvn install will compile all code and run the unit and integration tests. If there are any compile problems or any of the unit tests fail, the build will stop immediately. Otherwise, the command will continue to create the module's artifacts, create the Docker image with DB2 and custom scripts, start the Docker container, run the integration tests, stop the container (even if there are integration test failures), and run checkstyle on the code. If there are still no problems, the build will then install the module's artifacts into the local Maven repository.

You should always default to using mvn install, especially prior to committing changes to Git. However, there are a few situations where you may want to run a different Maven command.

Running some tests

If you are trying to get the test methods in a single integration test class to pass and would rather not run all of the integration tests, you can instruct Maven to just run that one integration test class and to skip all of the others. For example, use the following command to run the tests in the ConnectionIT.java class:

$ mvn -Dit.test=ConnectionIT install

Of course, wildcards also work:

$ mvn -Dit.test=Connect*IT install

These commands will automatically manage the DB2 Docker container.

Debugging tests

If you want to debug integration tests by stepping through them in your IDE, using the mvn install command will be problematic since it will not wait for your IDE's breakpoints. There are ways of doing this, but it is typically far easier to simply start the Docker container and leave it running so that it is available when you run the integration test(s). The following command:

$ mvn docker:start

will start the default DB2 container and run the database server. Now you can use your IDE to run/debug one or more integration tests. Just be sure that the integration tests clean up their database before (and after) each test, and that you run the tests with VM arguments that define the required system properties, including:

  • database.dbname - the name of the database that your integration test will use; there is no default
  • database.hostname - the IP address or name of the host where the Docker container is running; defaults to localhost which is likely for Linux, but on OS X and Windows Docker it will have to be set to the IP address of the VM that runs Docker (which you can find by looking at the DOCKER_HOST environment variable).
  • database.port - the port on which DB2 is listening; defaults to 50000 and is what this module's Docker container uses
  • database.user - the name of the database user; defaults to db2inst1 and is correct unless your database script uses something different
  • database.password - the password of the database user; defaults to admin and is correct unless your database script uses something different

For example, you can define these properties by passing these arguments to the JVM:

-Ddatabase.dbname=<DATABASE_NAME> -Ddatabase.hostname=<DOCKER_HOST> -Ddatabase.port=50000 -Ddatabase.user=db2inst1 -Ddatabase.password=admin

When you are finished running the integration tests from your IDE, you have to stop and remove the Docker container before you can run the next build:

$ mvn docker:stop

Please note that when running the DB2 database Docker container, the output is written to the Maven build output and includes several lines with [Warning] Using a password on the command line interface can be insecure. You can ignore these warnings, since we don't need a secure database server for our transient database testing.

Analyzing the database

Sometimes you may want to inspect the state of the database(s) after one or more integration tests are run. The mvn install command runs the tests but shuts down and removes the container after the integration tests complete. To keep the container running after the integration tests complete, use this Maven command:

$ mvn integration-test

Stopping the Docker container

This instructs Maven to run the normal Maven lifecycle through integration-test, and to stop before the post-integration-test phase when the Docker container is normally shut down and removed. Be aware that you will need to manually stop and remove the container before running the build again:

$ mvn docker:stop

Testing all DB2 configurations

In Debezium builds, the assembly profile is used when issuing a release or in our continuous integration builds. In addition to the normal steps, it also creates several additional artifacts (including the connector plugin's ZIP and TAR archives) and runs the whole integration test suite once for each of the DB2 configurations. If you want to make sure that your changes work on all DB2 configurations, add -Passembly to your Maven commands.

name=db2-connector connector.class=io.debezium.connector.db2.Db2Connector database.hostname=localhost database.port=50000 database.user=db2inst1 database.password=admin database.dbname=TESTDB database.cdcschema=ASNCDC database.history.kafka.bootstrap.servers=localhost:9092 database.history.kafka.topic=CDCTESTDB

Building just the artifacts, without running tests, CheckStyle, etc.

You can skip all non-essential plug-ins (tests, integration tests, CheckStyle, formatter, API compatibility check, etc.) using the "quick" build profile:

$ mvn clean verify -Dquick

This provides the fastes way for solely producing the output artifacts, without running any of the QA related Maven plug-ins. This comes in handy for producing connector JARs and/or archives as quickly as possible, e.g. for manual testing in Kafka Connect.

debezium-connector-db2's People

Contributors

debezium-builder avatar jpechane avatar gunnarmorling avatar naros avatar ani-sha avatar lga-zurich avatar morozov avatar rk3rn3r avatar kgalieva avatar zrlurb avatar samagonas avatar nielspardon avatar jcechace 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.