Using the Apache Spark™ SQL Thrift server

The Spark SQL Thrift server uses JDBC and ODBC interfaces for client connections to the database.

When reading or writing large amounts of data, DataStax recommends using DataFrames to enable the use of the Spark Cassandra Connector and the benefits of the tuning parameters that come with it.


  1. If you are using Kerberos authentication, in the hive-site.xml file, configure your authentication credentials for the Spark SQL Thrift server.


    Ensure that you use the hive-site.xml file in the Spark directory.

Where is the hive-site.xml file?

The location of the hive-site.xml file depends on the type of installation:

Installation Type Location

Package installations + Installer-Services installations


Tarball installations + Installer-No Services installations


  1. Start DataStax Enterprise with Spark enabled as a service or in a standalone installation.

  2. Start the server by entering the dse spark-sql-thriftserver start command as a user with permissions to write to the Spark directories.

    To override the default settings for the server, pass in the configuration property using the --hiveconf option. See the HiveServer2 documentation for a complete list of configuration properties.

    dse spark-sql-thriftserver start

    By default, the server listens on port 10000 on the localhost interface on the node from which it was started. You can specify the server to start on a specific port. For example, to start the server on port 10001, use the --hiveconf hive.server2.thrift.port=10001 option. You can configure the port and bind address in resources/spark/conf/ HIVE_SERVER2_THRIFT_PORT, HIVE_SERVER2_THRIFT_BIND_HOST.

    dse spark-sql-thriftserver start --hiveconf hive.server2.thrift.port=10001

    You can specify general Spark configuration settings by using the --conf option.

    dse spark-sql-thrift-server start --conf spark.cores.max=4
  3. Use DataFrames to read and write large volumes of data. For example, to create the table_a_cass_df table that uses a DataFrame while referencing table_a:

    CREATE TABLE table_a_cass_df using org.apache.spark.sql.cassandra OPTIONS (table "table_a", keyspace "ks")

    With DataFrames, compatibility issues exist with UUID and Inet types when inserting data with the JDBC driver.

  4. Use the Spark Cassandra Connector tuning parameters to optimize reads and writes.

  5. To stop the server, enter the dse spark-sql-thriftserver stop command.

    dse spark-sql-thriftserver stop

Next steps

You can now connect your application by using JDBC to the server at the URI: jdbc:hive2://hostname:port number, using ODBC, or use dse spark-beeline.

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