Libraries and tools for interoperability between Hadoop-related open-source software and Google Cloud Platform.
Libraries and tools for interoperability between Apache Hadoop related open-source software and Google Cloud Platform.
The Google Cloud Storage connector for Hadoop enables running MapReduce jobs directly on data in Google Cloud Storage by implementing the Hadoop FileSystem interface. For details, see the README.
The Google BigQuery connector for Hadoop MapReduce enables running MapReduce jobs on data in BigQuery by implementing the
InputFormat&
OutputFormatinterfaces. For more details see the documentation
Note that build requires Java 8 and fails with newer Java versions.
To build the connector for specific Hadoop version, run the following commands from the main directory:
# with Hadoop 2 and YARN support: ./mvnw -P hadoop2 clean packagewith Hadoop 3 and YARN support:
./mvnw -P hadoop3 clean package
In order to verify test coverage for specific Hadoop version, run the following commands from the main directory:
# with Hadoop 2 and YARN support: ./mvnw -P hadoop2 -P coverage clean verifywith Hadoop 3 and YARN support:
./mvnw -P hadoop3 -P coverage clean verify
The Cloud Storage connector JAR can be found in
gcs/target/. The BigQuery connector JAR can be found in
bigquery/target/.
Maven group ID is
com.google.cloud.bigdataossand artifact ID for Cloud Storage connector is
gcs-connectorand for BigQuery connectors is
bigquery-connector.
To add a dependency on one of the connectors using Maven, use the following:
Cloud Storage connector:
com.google.cloud.bigdataoss gcs-connector hadoop2-2.2.0
BigQuery connector:
com.google.cloud.bigdataoss bigquery-connector hadoop2-1.2.0
On Stack Overflow, use the tag
google-cloud-dataprocfor questions about the connectors in this repository. This tag receives responses from the Stack Overflow community and Google engineers, who monitor the tag and offer unofficial support.