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Develop Sedona

Scala/Java developers

IDE

We recommend Intellij IDEA with Scala plugin installed. Please make sure that the Project has the SDK set to a JDK 1.8.

Import the project

Choose Open

Import the project by clicking Open

Go to the Sedona root folder (not a submodule folder) and choose open

Open the Sedona root folder

The IDE might show errors

The IDE usually has trouble understanding the complex project structure in Sedona.

The IDE usually has trouble understanding the project

Fix errors by changing pom.xml

You need to comment out the following lines in pom.xml at the root folder, as follows. Remember that you should NOT submit this change to Sedona.

<!--    <parent>-->
<!--        <groupId>org.apache</groupId>-->
<!--        <artifactId>apache</artifactId>-->
<!--        <version>23</version>-->
<!--        <relativePath />-->
<!--    </parent>-->

Reload pom.xml

Make sure you reload the pom.xml or reload the maven project. The IDE will ask you to remove some modules. Please select yes.

Reload the Maven project

The final project structure should be like this:

The final correct project structure

Run unit tests

Run all unit tests

In a terminal, go to the Sedona root folder. Run mvn clean install. All tests will take more than 15 minutes. To only build the project jars, run mvn clean install -DskipTests.

Note

mvn clean install will compile Sedona with Spark 3.3 and Scala 2.12. If you have a different version of Spark in $SPARK_HOME, make sure to specify that using -Dspark command line arg. For example, to compile sedona with Spark 3.4 and Scala 2.12, use: mvn clean install -Dspark=3.4 -Dscala=2.12

More details can be found on Compile Sedona

Run a single unit test

In the IDE, right-click a test case and run this test case.

Right click a test case to run

When you run a test case written in Scala, the IDE might tell you that the "Path does not exist" as follows:

Path does not exist

Go to Edit Configuration

Edit Configuration

Change the value of Working Directory to $MODULE_WORKING_DIR$.

Change the working directory

Re-run the test case. Do NOT right-click the test case to re-run. Instead, click the button as shown in the figure below.

Re-run test case by clicking the button

If you don't want to change the Working Directory configuration every time, you can change the default value of Working Directory in the Run/Debug Configurations window. Click Edit configuration templates... and change the value of Working Directory of ScalaTest to $MODULE_WORKING_DIR$.

Run/Debug Configurations click Edit configuration templates Set ScalaTest Working directory

Now newly created run configurations for ScalaTest will have the correct value set for Working Directory.

IDE Configurations When Using Java 11

If you are using Java 11, you may encounter the following error when running tests:

/path/to/sedona/common/src/main/java/org/apache/sedona/common/geometrySerde/UnsafeGeometryBuffer.java
package sun.misc does not exist
sun.misc.Unsafe

You can fix this issue by disabling Use '--release' option for cross-compilation in the IDE settings.

Disable "Use '--release' option for cross-compilation" when using Java 11

Run Tests with Different Spark/Scala Versions

If you want to test changes with different Spark/Scala versions, you can select the Spark and Scala profile in the Maven panel. Once you have selected the desired versions, reload the sedona-parent project. See picture below

Note

The profile change won't update the module names in the IDE. Don't be misled if a module still has a -3.3-2.12 suffix in the name.

Note

Not all combinations of spark and scala versions are supported and so they will fail to compile.

Select Spark and Scala Profiles

Python developers

IDE

We recommend PyCharm.

Run Python tests

Run all Python tests

To run all Python test cases, follow steps mentioned here.

Run all Python tests in a single test file

To run a particular Python test file, specify the path of the .py file to pipenv.

For example, to run all tests in test_function.py located in python/tests/sql/, use: pipenv run pytest tests/sql/test_function.py.

Run a single test

To run a particular test in a particular .py test file, specify file_name::class_name::test_name to the pytest command.

For example, to run the test on ST_Contains function located in sql/test_predicate.py, use: pipenv run pytest tests/sql/test_predicate.py::TestPredicate::test_st_contains

Import the project

R developers

More details to come.

IDE

We recommend RStudio

Import the project