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GoogleCloudDataproc
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GoogleCloudDataproc/hadoop-connectors

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

Java ◇ developer-tools Apache-2.0
★293STARS
⑂273FORKS
!114ISSUES
🏆#4,531GLOBAL RANK
🔥3DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for GoogleCloudDataproc/hadoop-connectors
CSV

Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#361

MOST-STARRED Java

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+5+14

hadoop-connectors gained 10 stars in the last 30 days, about 1 a day, and now has 293. It is about 12 years old and has averaged roughly 24 stars a year. It ranks #361 among Java repositories and #4,531 across all languages on GitHubRepo.

Trending Record

hadoop-connectors has maintained a continuous presence across global trending indexes, peaking at #3275. Below is the 30-day activity profile:

💡 Overview

hadoop-connectors is an open-source project written in Java: Libraries and tools for interoperability between Hadoop-related open-source software and Google Cloud Platform.

Engineered for speed, consistency, and developer ease, it solves common hurdles in Java. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Java for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ git clone https://github.com/GoogleCloudDataproc/hadoop-connectors.git
cd hadoop-connectors

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

JDK 17 or higher (OpenJDK / GraalVM)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

hadoop-connectors coordinates its core functionality through a modular Java pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Production System Integration

Embed hadoop-connectors into Java backend services to handle core application logic.

CI/CD Automated Pipelines

Run automated validation, builds, and integration suites during deployments.

Developer Tooling & Workflows

Accelerate developer onboarding with pre-configured project utilities.

Open Source Extension

Fork and customize internal modules under the repository's open Apache-2.0 license.

🚀 Getting Started

1

Install hadoop-connectors using your package manager: `git clone https://github.com/GoogleCloudDataproc/hadoop-connectors.git`

2

Initialize your project workspace or configuration file for hadoop-connectors.

3

Import hadoop-connectors into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `hadoop-connectors --help` to verify successful setup.

👍 Strengths

Active community backing with 293 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Java for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Java and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

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👥 Who Should Use This

Developers and engineering teams building with Java, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

GoogleCloudDataproc/hadoop-connectors is currently ranked #4,531 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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#4,523 unjs/unifont TypeScript ★ 295 Compare ↗
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#4,529 fennaraOfficial/fennara-godot-ai Rust ★ 294 Compare ↗
#4,529 clavia-labs/tardigrade TypeScript ★ 294 Compare ↗
#4,531 GoogleCloudDataproc/hadoop-connectors This Project Java ★ 293
#4,531 rmm5t/liquidmetal JavaScript ★ 293 Compare ↗
#4,531 NYRDS/remixed-dungeon Java ★ 293 Compare ↗
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Frequently Asked Questions

What does hadoop-connectors do? +

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

What language is hadoop-connectors written in? +

The primary language is Java. Topics include: software.

Is hadoop-connectors actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 114 open issues being tracked.

How many stars does hadoop-connectors have? +

hadoop-connectors has 293 stars and 273 forks on GitHub.

How does hadoop-connectors rank among GitHub repositories? +

With 293 stars, GoogleCloudDataproc/hadoop-connectors is ranked #4,531 globally across all repositories tracked on GitHubRepo and #361 among Java projects.

What license is hadoop-connectors distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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