# tNormalize MapReduce properties (deprecated) Availability-note[Deprecated](https://help.talend.com/r/en-US/Cloud/labels-on-talend-help-center/availability-deprecated) This content is deprecated. 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 Talend products with Big Data and Talend Data Fabric. Availability-note[Deprecated](https://help.talend.com/r/en-US/Cloud/labels-on-talend-help-center/availability-deprecated) This content is deprecated. The MapReduce framework is deprecated from Talend 7.3 onwards. Use Talend Jobs for Apache Spark to accomplish your integration tasks. ## 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:

| | --- | --- | | | 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.

Information noteNote:

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.

Information noteNote:

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 Big Data Getting Started Guide**.

For scenario demonstrating a Map/Reduce Job using this component,
see [Normalizing data using Map/Reduce components](https://help.qlik.com/talend/en-US/components/7.3/processing/tnormalize-thdfsoutput-thdfsinput-tfileinputdelimited-normalizing-data-using-map-reduce-components-mapreduce-component-you-can).

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. | | --- | --- |