Set Up Develop Environment

In this section, we are going to show you how to set up your development environment for SeaTunnel, and then run a simple example in your JetBrains IntelliJ IDEA.

You can develop or test SeaTunnel code in any development environment that you like, but here we use JetBrains IDEA as an example to teach you to step by step.

Prepare

Before we start talking about how to set up the environment, we need to do some preparation work. Make sure you already have installed the following software:

• Git installed.
• Java ( JDK8/JDK11 are supported by now) installed and JAVA_HOME set.
• Scala (only scala 2.11.12 supported by now) installed.
• JetBrains IDEA installed.

Set Up

Clone the Source Code

First of all, you need to clone the SeaTunnel source code from GitHub.

git clone git@github.com:apache/seatunnel.git

Install Subproject Locally

After cloning the source code, you should run the ./mvnw command to install the subproject to the maven local repository. Otherwise, your code could not start in JetBrains IntelliJ IDEA correctly.

./mvnw install -Dmaven.test.skip

Building SeaTunnel From Source

After you install the maven, you can use the following command to compile and package.

mvn clean package -pl seatunnel-dist -am -Dmaven.test.skip=true

Building Sub Module

If you want to build submodules separately, you can use the following command to compile and package.

# This is an example of building the redis connector separately

 mvn clean package -pl seatunnel-connectors-v2/connector-redis -am -DskipTests -T 1C

Install JetBrains IDEA Scala Plugin

Now, you can open your JetBrains IntelliJ IDEA and explore the source code. But before building Scala code in IDEA, you should also install JetBrains IntelliJ IDEA's Scala Plugin. See Install Plugins For IDEA if you want to.

Install JetBrains IDEA Lombok Plugin

Before running the following example, you should also install JetBrains IntelliJ IDEA's Lombok plugin. See install plugins for IDEA if you want to.

Code Style

Apache SeaTunnel uses Spotless for code style and format checks. You can run the following command and Spotless will automatically fix the code style and formatting errors for you:

./mvnw spotless:apply

You could copy the pre-commit hook file /tools/spotless_check/pre-commit.sh to your .git/hooks/ directory so that every time you commit your code with git commit, Spotless will automatically fix things for you.

Run Simple Example

After all the above things are done, you just finish the environment setup and can run an example we provide to you out of box. All examples are in module seatunnel-examples, you could pick one you are interested in, Running Or Debugging It In IDEA as you wish.

Here we use seatunnel-examples/seatunnel-engine-examples/src/main/java/org/apache/seatunnel/example/engine/SeaTunnelEngineExample.java as an example, when you run it successfully you can see the output as below:

2024-08-10 11:45:32,839 INFO  org.apache.seatunnel.core.starter.seatunnel.command.ClientExecuteCommand - 
***********************************************
           Job Statistic Information
***********************************************
Start Time                : 2024-08-10 11:45:30
End Time                  : 2024-08-10 11:45:32
Total Time(s)             :                   2
Total Read Count          :                   5
Total Write Count         :                   5
Total Failed Count        :                   0
***********************************************

What's More

All our examples use simple source and sink to make it less dependent and easy to run. You can change the example configuration in resources/examples. You can change your configuration as below, if you want to use PostgreSQL as the source and sink to console. Please note that when using connectors other than FakeSource and Console, you need to modify the dependencies in the pom.xml file of the corresponding submodule of seatunnel-example.

env {
  parallelism = 1
  job.mode = "BATCH"
}
source {
    Jdbc {
        driver = org.postgresql.Driver
        url = "jdbc:postgresql://host:port/database"
        username = postgres
        password = "123456"
        query = "select * from test"
        table_path = "database.test"
    }
}

sink {
  Console {}
}