MuleSoft Connector for Spark SQL

Build 21.0.7867

CData MuleSoft Connector for Spark SQL

Overview

The CData MuleSoft Connector for Spark SQL connects Spark SQL to Mule applications, enabling create, read, update, and delete functionality with familiar SQL queries. The connector abstracts the underlying data source into tables, views, and stored procedures that can be used to both retrieve and update data.

Key Features

  • Real-time access to Spark SQL data in Mule applications, with comprehensive support for create, read, update, and delete (CRUD) operations.
  • Easily create Mule applications to backup, transform, report, and analyze Spark SQL data.

Getting Started

Getting Started explains how to establish a connection to Spark SQL and add the connector to your message flows.

Advanced Features

Advanced Features details additional features supported by the connector, such as defining user defined views, ssl configuration, remoting, caching, firewall/proxy settings, and advanced logging.

Using the Connector (Mule 3.8+)

Using the Connector (Mule 3.8+) shows how to invoke the connector's operations to execute SQL.

SQL Compliance

See SQL Compliance for a syntax reference and code examples outlining the supported SQL.

Data Model

Data Model lists the tables, views, and stored procedures available for the connector.

Copyright (c) 2021 CData Software, Inc. - All rights reserved.
Build 21.0.7867