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The CData JDBC Driver for PostgreSQL connects PostgreSQL data to Mule applications enabling read , write, update, and delete functionality with familiar SQL queries. The JDBC Driver allows users to easily create Mule applications to backup, transform, report, and analyze PostgreSQL data.
This article demonstrates how to use the CData JDBC Driver for PostgreSQL inside of a Mule project to create a Web interface for PostgreSQL data. The application created allows you to request PostgreSQL data using an HTTP request and have the results returned as JSON. The exact same procedure outlined below can be used with any CData JDBC Driver to create a Web interface for the hundreds of available data sources.
To connect to PostgreSQL, set the Server, Port (the default port is 5432), and Database connection properties and set the User and Password you wish to use to authenticate to the server. If the Database property is not specified, the data provider connects to the user's default database.
You can use SSH (Secure Shell) to authenticate with PostgreSQL, whether the instance is hosted on-premises or in supported cloud environments. SSH authentication ensures that access is encrypted (as compared to direct network connections).
To connect to PostgreSQL via SSH in Password Auth mode, set the following connection properties:
To connect to PostgreSQL via SSH in Password Auth mode, set the following connection properties:
For assistance in constructing the JDBC URL, use the connection string designer built into the PostgreSQL JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.postgresql.jar
Fill in the connection properties and copy the connection string to the clipboard.
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At this point, you have a simple Web interface for working with PostgreSQL data (as JSON data) in custom apps and a wide variety of BI, reporting, and ETL tools. Download a free, 30 day trial of the JDBC Driver for PostgreSQL and see the CData difference in your Mule Applications today.
Download a free trial of the PostgreSQL Driver to get started:
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