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 & OutputFormat interfaces. For more details see the documentation
The Google Cloud Pub/Sub connector for Spark Streaming enables running Spark Streaming Job on topics in Pub/Sub by implementing the InputDStream interface. For more details see the README
All the connectors can be built with Apache Maven 3 (as of 2018-08-07, version 3.5.4 has been tested). To build the connector for specific Hadoop version, run the following commands from the main directory:
# with Hadoop 1 support:
mvn -P hadoop1 clean package
# with Hadoop 2 and YARN support:
mvn -P hadoop2 clean package
# with Hadoop 3 and YARN support:
mvn -P hadoop3 clean package
The GCS connector JAR can be found in gcs/target/
. The BigQuery JAR can be
found in bigquery/target/
.
Building the Pub/Sub Connector is described in its README.
Maven group ID is com.google.cloud.bigdataoss
and artifact ID for Cloud
Storage connector is gcs-connector
and for BigQuery connectors is
bigquery-connector
.
To add a dependency on one of the connectors using Maven, use the following:
<dependency>
<groupId>com.google.cloud.bigdataoss</groupId>
<!-- Cloud Storage: -->
<artifactId>gcs-connector</artifactId>
<version>hadoop2-1.9.11</version>
<!-- or, for BigQuery: -->
<artifactId>bigquery-connector</artifactId>
<version>hadoop2-0.13.11</version>
</dependency>