https://github.com/googleclouddataproc/hadoop-connectors

Libraries and tools for interoperability between Hadoop-related open-source software and Google Cloud Platform.
https://github.com/googleclouddataproc/hadoop-connectors

bigquery google-cloud-dataproc hadoop hadoop-filesystem hadoop-hcfs

Last synced: 28 days ago
JSON representation

Libraries and tools for interoperability between Hadoop-related open-source software and Google Cloud Platform.

• Host: GitHub
• URL: https://github.com/googleclouddataproc/hadoop-connectors
• Owner: GoogleCloudDataproc
• License: apache-2.0
• Created: 2014-05-12T03:11:55.000Z (about 11 years ago)
• Default Branch: master
• Last Pushed: 2025-05-07T02:36:05.000Z (about 1 month ago)
• Last Synced: 2025-05-07T03:33:58.560Z (about 1 month ago)
• Topics: bigquery, google-cloud-dataproc, hadoop, hadoop-filesystem, hadoop-hcfs
• Language: Java
• Size: 11.1 MB
• Stars: 284
• Watchers: 96
• Forks: 250
• Open Issues: 92
• Metadata Files:
  • Readme: README-template.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# Apache Hadoop Connectors

[![GitHub release](https://img.shields.io/github/release/GoogleCloudDataproc/hadoop-connectors.svg)](https://github.com/GoogleCloudDataproc/hadoop-connectors/releases/latest)

[![GitHub release date](https://img.shields.io/github/release-date/GoogleCloudDataproc/hadoop-connectors.svg)](https://github.com/GoogleCloudDataproc/hadoop-connectors/releases/latest)

[![codecov](https://codecov.io/gh/GoogleCloudDataproc/hadoop-connectors/branch/master/graph/badge.svg)](https://codecov.io/gh/GoogleCloudDataproc/hadoop-connectors)

Libraries and tools for interoperability between Apache Hadoop related

open-source software and Google Cloud Platform.

## Google Cloud Storage connector for Apache Hadoop (HCFS)

[![Maven Central](https://img.shields.io/maven-central/v/com.google.cloud.bigdataoss/gcs-connector/hadoop1.svg?label=Maven%20Central)](https://search.maven.org/search?q=g:com.google.cloud.bigdataoss%20AND%20a:gcs-connector%20AND%20v:hadoop1-*)

[![Maven Central](https://img.shields.io/maven-central/v/com.google.cloud.bigdataoss/gcs-connector/hadoop2.svg?label=Maven%20Central)](https://search.maven.org/search?q=g:com.google.cloud.bigdataoss%20AND%20a:gcs-connector%20AND%20v:hadoop2-*)

[![Maven Central](https://img.shields.io/maven-central/v/com.google.cloud.bigdataoss/gcs-connector/hadoop3.svg?label=Maven%20Central)](https://search.maven.org/search?q=g:com.google.cloud.bigdataoss%20AND%20a:gcs-connector%20AND%20v:hadoop3-*)

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](gcs/README.md).

## Unreleased Changes

This Readme may include documentation for changes that haven't been released yet.  The latest release's documentation and source code are found here.

https://github.com/GoogleCloudDataproc/hadoop-connectors/tree/mastr

## Building the Cloud Storage connector

> Note that build requires Java 11+ and fails with older Java versions.

To build the connector for specific Hadoop version, run the following commands

from the main directory:

```bash

./mvnw clean package

```

In order to verify test coverage for specific Hadoop version, run the following

commands from the main directory:

```bash

./mvnw -P coverage clean verify

```

The Cloud Storage connector JAR can be found in `gcs/target/` directory.

## Adding the Cloud Storage connector to your build

Maven group ID is `com.google.cloud.bigdataoss` and artifact ID for Cloud

Storage connector is `gcs-connector`.

To add a dependency on Cloud Storage connector using Maven, use the following:

```xml

  com.google.cloud.bigdataoss

  gcs-connector

  ${next-gcs-connector-release-tag}

```

## Resources

On **Stack Overflow**, use the tag

[`google-cloud-dataproc`](https://stackoverflow.com/tags/google-cloud-dataproc)

for 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.