tFilterRow properties in Spark Streaming Jobs - 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

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

Processing

 

Basic settings

Schema and Edit Schema

A schema is a row description. It defines the number of fields (columns) to be processed and passed on to the next component. The schema is either Built-In or stored remotely in the Repository.

 

Logical operator used to combine conditions

Select a logical operator to combine simple conditions and to combine the filter results of both modes if any advanced conditions are defined.

And: returns the boolean value of true if all conditions are true; otherwise false. For each two conditions combined using a logical AND, the second condition is evaluated only if the first condition is evaluated to be true.

Or: returns the boolean value of true if any condition is true; otherwise false. For each two conditions combined using a logical OR, the second condition is evaluated only if the first condition is evaluated to be false.

 

Conditions

Click the plus button to add as many simple conditions as needed. Based on the logical operator selected, the conditions are evaluated one after the other in sequential order for each row. When evaluated, each condition returns the boolean value of true or false.

Input column: Select the column of the schema the function is to be operated on

Function: Select the function on the list

Operator: Select the operator to bind the input column with the value

Value: Type in the filtered value, between quotes if needed.

 

Use advanced mode

Select this check box when the operations you want to perform cannot be carried out through the standard functions offered, for example, different logical operations in the same component. In the text field, type in the regular expression as required.

If multiple advanced conditions are defined, use a logical operator between two conditions:

&& (logical AND): returns the boolean value of true if both conditions are true; otherwise false. The second condition is evaluated only if the first condition is evaluated to be true.

|| (logical OR): returns the boolean value of true if either condition is true; otherwise false. The second condition is evaluated only if the first condition is evaluated to be false.

Usage in Spark Streaming Jobs

In a Talend Spark Streaming Job, this component is used as an intermediate step and other components used along with it must be Spark Streaming components, too. They generate native Spark Streaming code that can be executed directly in a Spark cluster.

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.

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.

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.