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Spark

by langgenius · v0.0.7

Spark Platform Toolkit

6.0k installsUpdated Jul 20, 2026
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This community listing does not yet include every recommended support, privacy, pricing, and permission disclosure. Review the available package permissions before installing.

Capabilities

Tools

Available inside your emploidai workspace after installation.

Data sources

Available inside your emploidai workspace after installation.

Category

tool

Version

0.0.7langgenius

Requirements

Maximum memory 1MB

Pricing

Not disclosed by publisher

Security & access

Review before installing

CompatibleRequires emploidai 1.0.0+

Permissions

  • Uses model capability
  • Uses tool capability
  • Requires encrypted tool credentials

Dependencies

No additional dependencies

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Apache Spark Tool

Overview

Apache Spark is an open-source, distributed computing system designed for big data processing and analytics. It provides high-level APIs in Java, Scala, Python, and R, and supports a wide array of data processing tasks, from SQL queries to machine learning and graph processing.

Configuration

1. 1. Apply for Spark API Config

Please apply for an API Key, API Secret and APPID from the iFLYTEK open platform.

2. Get Spark tools from Plugin Marketplace

The Apache Spark tools could be found at the Plugin Marketplace, please install it first.

3. Fill in the configuration in Dify

On the Dify navigation page, click Tools > Spark > Authorize to fill in the API Key.

4. Use the tool

You can use the Apache Spark tool in the following application types:

Chatflow / Workflow applications

Both Chatflow and Workflow applications support adding an Spark tool node for data processing tasks.

Agent applications

Add the Spark tool in the Agent application, then enter data processing commands to call this tool.