tCassandraConfiguration properties in Spark Streaming Jobs - 6.3

Talend Components Reference Guide

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The streaming version of this component is available in the Palette of the Studio only if you have subscribed to Talend Real-time Big Data Platform or Talend Data Fabric.

Component Family

Big Data / Cassandra


Basic settings


Enter the URL of the Cassandra server you need the Job to connect to.



Type in the listening port number of the Cassandra server to be connected to.

Required Authentication


Fill in this field with the username for the Cassandra authentication.



Fill in this field with the password for the Cassandra authentication.

To enter the password, click the [...] button next to the password field, and then in the pop-up dialog box enter the password between double quotes and click OK to save the settings.



Add the Spark properties relating to Cassandra to this table and give them the values you want to use in order to override the default ones at runtime.

  • For example, if you need to define the Cassandra consistency level for reading, select the input_consistency_level property in the Property name column and enter the numeric level value in the Value column.

The following list presents the numerical values you can put and the consistency levels they signify:

  • 0: ANY,

  • 1: ONE,

  • 2: TWO,

  • 3: THREE,

  • 4: QUORUM,

  • 5: ALL,



  • 8: SERIAL,


  • 10: LOCAL_ONE

For further details about each of the consistency policies, see Datastax documentation about Cassandra.

For further information for all the properties listed in this table and their default values, see

Usage in Spark Streaming Jobs

This component is used with no need to be connected to other components.

You need to drop tCassandraConfiguration along with the Cassandra-related Subjob to be run in the same Job so that the configuration is used by the whole Job at runtime.

This component, along with the Spark Streaming component Palette it belongs to, appears only when you are creating a Spark Streaming Job.

Note that in this documentation, unless otherwise explicitly stated, a scenario presents only Standard Jobs, that is to say traditional Talend data integration Jobs.


If you are using a subscription-based version of the Studio, the activity of this component can be logged using the log4j feature. For more information on this feature, see Talend Studio User Guide.

For more information on the log4j logging levels, see the Apache documentation at

Spark Connection

You need to use the Spark Configuration tab in the Run view to define the connection to a given Spark cluster for the whole Job. In addition, since the Job expects its dependent jar files for execution, one and only one file system related component from the Storage family is required in the same Job so that Spark can use this component to connect to the file system to which the jar files dependent on the Job are transferred:

This connection is effective on a per-Job basis.