SQL Programming
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While you can run SQL directly on a database using JDBC, Spark SQL provides another method for interacting with a database in Spark. This approach is similar to how Spark SQL provides access to Hive data.
Each of these approaches has its tradeoffs. For example, using the JDBC-based approach, Spark SQL can read from databases that do not have an SQL interface. It will not work with database engines such as MariaDB, MySQL, and PostgreSQL. It will also not read from database with proprietary drivers.
To add Spark SQL to a Spark application, you can either include a JAR file that contains the SQL engine or add the JDBC dependency in the pom.xml file. In the following example, we are using the Hive driver for JDBC. If you would like to use a different driver, check the Spark JDBC section to learn how to add it to your Spark application.
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