JDBC Driver for Spark SQL

Build 21.0.7930

Using JDBC

This section provides a walk-through of writing data access code to Spark SQL in JDBC.

See Data Model for more information on the available API objects and how to query them with SQL. See SQL Compliance for the SQL syntax.

Connecting from Code

See Establishing a Connection for the prerequisite information you need to deploy the driver and configure the connection to Spark SQL. Connecting from Code shows how to connect with the DriverManager or SparkSQLDataSource classes.

Executing SQL

Use the Statement and PreparedStatement classes to execute SQL to Spark SQL:

  • See Executing Statements to execute Statements and iterate over the returned ResultSets.
  • See Using Prepared Statements to execute parameterized statements. The PreparedStatement class provides a means to efficiently execute queries more than once and to mitigate SQL injection attacks.
  • See Batch Processing to take advantage of the Spark SQL bulk processing functionality. The driver converts the JDBC batch commands into a single request to Spark SQL.

Executing Stored Procedures

You can execute stored procedures as parameterized statements (with the CallableStatement class) or SQL statements (with the EXECUTE syntax): see Calling Stored Procedures.

Connection Pooling

Instantiate pooled connections with SparkSQLDataSource objects: see Connection Pooling to create and configure the pool.

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Build 21.0.7930