We'd love to accept your patches and contributions to this project.
Contributions to this project must be accompanied by a Contributor License Agreement (CLA). You (or your employer) retain the copyright to your contribution; this simply gives us permission to use and redistribute your contributions as part of the project.
If you or your current employer have already signed the Google CLA (even if it was for a different project), you probably don't need to do it again.
Visit https://cla.developers.google.com/ to see your current agreements or to sign a new one.
This project follows Google's Open Source Community Guidelines.
All submissions, including submissions by project members, require review. We use GitHub pull requests for this purpose. Consult GitHub Help for more information on using pull requests.
You can use the following command to compile and install the project:
mvn clean install -DskipTests
The connector's jar file will be located at
spark-bigtable_2.12/target/spark-bigtable_2.12-0.1.0.jar
.
(Note the use of -DskipTests
, as otherwise all tests will be run,
which takes hours. This option still compiles the test JARs.)
To run the unit tests in the spark-bigtable_2.12
module, you can use this command:
mvn -pl spark-bigtable test
To run the integration tests in the spark-bigtable_2.12-it
module, you can use this command:
mvn -pl spark-bigtable_2.12-it failsafe:integration-test failsafe:verify -DbigtableProjectId=${BIGTABLE_PROJECT_ID} -DbigtableInstanceId=${BIGTABLE_INSTANCE_ID} -P integration
In the above command, you can replace -P integration
with -P long-running
or -P fuzz
to run the long-running and fuzz tests, respectively.
(or use -P integration,long-running,fuzz
to run all
tests). However, note that by design, these tests take hours to run.
We use google-java-format to format Java code. To use this formatter, you can download the JAR and run this command on a java file that you have udpated:
java -jar /path/to/google-java-format-${GJF_VERSION?}-all-deps.jar -i /path/to/java/source/code.java
We use Scalafmt for Scala code, with the
configurations defined in .scalafmt.conf
. You can refer to the
Scalafmt documentation
to enable it in your development environment.