dse spark-sql

Starts the Apache Spark™ SQL shell in DSE to interactively perform Spark SQL queries.

The Spark SQL shell in DSE automatically creates a Spark session and connects to the Apache Spark SQL Thrift server to handle the underlying JDBC connections. See Using Apache Spark SQL to query data.

Synopsis

dse spark-sql
Syntax legend
Syntax conventions Description

Italic, bold, or < >

Syntax diagrams and code samples use one or more of these styles to mark placeholders for variable values. Replace placeholders with a valid option or your own user-defined value.

In CQL statements, angle brackets are required to enclose data types in a set, list, map, or tuple. Separate the data types with a comma. For example: <datatype2

In Search CQL statements, angle brackets are used to identify the entity and literal value to overwrite the XML element in the schema and solrconfig files, such as @<xml_entity>='<xml_entity_type>'.

[ ]

Square brackets surround optional command arguments. Do not type the square brackets.

( )

Parentheses identify a group to choose from. Do not type the parentheses.

|

A pipe separates alternative elements. Type any one of the elements. Do not type the pipe.

...

Indicates that you can repeat the syntax element as often as required.

'

Single quotation marks must surround literal strings in CQL statements. Use single quotation marks to preserve upper case. + For Search CQL only: Single quotation marks surround an entire XML schema declaration, such as '<<schema> ... </schema>>'

{ }

Map collection. Curly braces enclose maps ({ <key_datatype>:<value_datatype> }) or key value pairs ({ <key>:<value> }). A colon separates the key and the value.

;

Ends a CQL statement.

--

Separate command line options from command arguments with two hyphens. This syntax is useful when arguments might be mistaken for command line options.

This command accepts no parameters.

Examples

Start the Apache Spark SQL shell

dse spark-sql
The log file is at /home/ubuntu/.spark-sql-shell.log spark-sql>

At the spark-sql prompt, you can interactively perform Spark SQL queries.

Was this helpful?

Give Feedback

How can we improve the documentation?

© Copyright IBM Corporation 2025 | Privacy policy | Terms of use Manage Privacy Choices

Apache, Apache Cassandra, Cassandra, Apache Tomcat, Tomcat, Apache Lucene, Apache Solr, Apache Hadoop, Hadoop, Apache Pulsar, Pulsar, Apache Spark, Spark, Apache TinkerPop, TinkerPop, Apache Kafka and Kafka are either registered trademarks or trademarks of the Apache Software Foundation or its subsidiaries in Canada, the United States and/or other countries. Kubernetes is the registered trademark of the Linux Foundation.

General Inquiries: Contact IBM