tCassandraConfiguration - 6.1

Talend Components Reference Guide

EnrichVersion
6.1
EnrichProdName
Talend Big Data
Talend Big Data Platform
Talend Data Fabric
Talend Data Integration
Talend Data Management Platform
Talend Data Services Platform
Talend ESB
Talend MDM Platform
Talend Open Studio for Big Data
Talend Open Studio for Data Integration
Talend Open Studio for Data Quality
Talend Open Studio for ESB
Talend Open Studio for MDM
Talend Real-Time Big Data Platform
task
Data Governance
Data Quality and Preparation
Design and Development
EnrichPlatform
Talend Studio

Warning

This component will be available in the Palette of Talend Studio on the condition that you have subscribed to one of the Talend solutions with Big Data.

Function

tCassandraConfiguration provides Cassandra connection information for the Cassandra components used in the same Spark Job. The Spark cluster to be used reads this configuration to eventually connect to Cassandra.

Purpose

tCassandraConfiguration enables the reuse of the connection configuration to a Cassandra server in the same Job.

If you have subscribed to one of the Talend solutions with Big Data, this component is available in the following types of Jobs:

tCassandraConfiguration properties in Spark Batch Jobs

Component Family

Big Data / Cassandra

 

Basic settings

Host

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

 

Port

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

Required Authentication

Username

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

 

Password

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.

 

Configuration

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 further information for these properties and their default values, see https://github.com/datastax/spark-cassandra-connector/blob/master/doc/1_connecting.md.

Usage in Spark Batch Jobs

In a Talend Spark Batch Job, this component is used standalone. It generates native Spark code that can be executed directly in a Spark cluster.

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 Batch component Palette it belongs to, appears only when you are creating a Spark Batch 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.

Log4j

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 http://logging.apache.org/log4j/1.2/apidocs/org/apache/log4j/Level.html.

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.

Related scenarios

No scenario is available for the Spark Batch version of this component yet.

tCassandraConfiguration properties in Spark Streaming Jobs

Warning

The streaming version of this component is available in the Palette of the studio on the condition that you have subscribed to Talend Real-time Big Data Platform or Talend Data Fabric.

Component Family

Big Data / Cassandra

 

Basic settings

Host

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

 

Port

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

Required Authentication

Username

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

 

Password

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.

 

Configuration

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 further information for these properties and their default values, see https://github.com/datastax/spark-cassandra-connector/blob/master/doc/1_connecting.md.

Usage in Spark Streaming Jobs

In a Talend Spark Streaming Job, this component is used standalone. It generates native Spark code that can be executed directly in a Spark cluster.

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.

Log4j

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 http://logging.apache.org/log4j/1.2/apidocs/org/apache/log4j/Level.html.

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.

Related scenarios

No scenario is available for the Spark Streaming version of this component yet.