tNormalize MapReduce properties - 7.0

Processing (Integration)

EnrichVersion
7.0
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Talend Big Data
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Talend Data Integration
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Talend Studio
task
Data Governance > Third-party systems > Processing components (Integration)
Data Quality and Preparation > Third-party systems > Processing components (Integration)
Design and Development > Third-party systems > Processing components (Integration)

These properties are used to configure tNormalize running in the MapReduce Job framework.

The MapReduce tNormalize component belongs to the Processing family.

The component in this framework is available in all subscription-based Talend products with Big Data and Talend Data Fabric.

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. When you create a Spark Job, avoid the reserved word line when naming the fields.

Click Edit schema to make changes to the schema. If the current schema is of the Repository type, three options are available:

  • View schema: choose this option to view the schema only.

  • Change to built-in property: choose this option to change the schema to Built-in for local changes.

  • Update repository connection: choose this option to change the schema stored in the repository and decide whether to propagate the changes to all the Jobs upon completion. If you just want to propagate the changes to the current Job, you can select No upon completion and choose this schema metadata again in the [Repository Content] window.

 

Built-In: You create and store the schema locally for this component only.

 

Repository: You have already created the schema and stored it in the Repository. You can reuse it in various projects and Job designs.

Column to normalize

Select the column from the input flow which the normalization is based on.

Item separator

Enter the separator which will delimit data in the input flow.

Note:

The item separator is based on regular expressions, so the character "." (a special character for regular expression) should be avoided or used carefully here.

Advanced settings

Use CSV parameters

Select this check box to include CSV specific parameters such as escape mode and enclosure character.

Discard the trailing empty strings

Select this check box to discard the trailing empty strings.

Trim resulting values

Select this check box to trim leading and trailing whitespace from the resulting data.

Note:

When both Discard the trailing empty string and Trim resulting values check boxes are selected, the former works first.

Global Variables

Global Variables

ERROR_MESSAGE: the error message generated by the component when an error occurs. This is an After variable and it returns a string. This variable functions only if the Die on error check box is cleared, if the component has this check box.

A Flow variable functions during the execution of a component while an After variable functions after the execution of the component.

To fill up a field or expression with a variable, press Ctrl + Space to access the variable list and choose the variable to use from it.

For further information about variables, see Talend Studio User Guide.

Usage

Usage rule

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

For further information about a Talend Map/Reduce Job, see the sections describing how to create, convert and configure a Talend Map/Reduce Job of the Talend Open Studio for Big Data Getting Started Guide .

For scenario demonstrating a Map/Reduce Job using this component, see Normalizing data using Map/Reduce components.

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