# tConvertType 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 tConvertType running in the MapReduce Job framework.

The MapReduce tConvertType 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<br>Schema | A schema is a row description. It defines the number of fields<br>(columns) to be processed and passed on to the next component. When you create a Spark<br>Job, avoid the reserved word line when naming the<br>fields.<br><br>Click Edit<br>schema to make changes to the schema. If the current schema is of the Repository type, three options are available:<br><br><ul> <li> <p> <span>View schema</span>: choose this                option to view the schema only.</p> </li> <li> <p> <span>Change to built-in property</span>:                choose this option to change the schema to <span>Built-in</span> for local changes.</p> </li> <li> <p> <span>Update repository connection</span>:                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 <span>No</span> upon completion and choose this schema metadata                again in the <span>Repository Content</span>                window.</p> </li> </ul> |
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|  | Built-In: You create and store the schema locally for this component<br>only. |
|  | Repository: You have already created the schema and stored it in the<br>Repository. You can reuse it in various projects and Job designs. |
| Auto Cast | This check box is selected by default. It performs an automatic<br>java type conversion. |
| Manual Cast | This mode is not visible if the Auto Cast<br>check box is selected. It allows you to precise manually<br>the columns where a java type conversion is needed. |
| Set empty values to Null before converting | This check box is selected to set the empty values of String or<br>Object type to null for the input data. |

## Global Variables

| Global Variables | ERROR\_MESSAGE: the error message generated by the component when an<br>error occurs. This is an After variable and it returns a string. This variable functions<br>only if the Die on error check box<br>is cleared, if the component has this check<br>box.<br><br><br>NB\_LINE: the number<br>of rows read by an input component or transferred to an output component. This is an<br>After variable and it returns an integer.<br><br>A Flow variable functions during the execution of a component<br>while an After variable functions after the execution of the component.<br><br>To fill up a field or expression with a<br>variable, press Ctrl + Space to<br>access the variable list and choose the variable to use from it.<br><br>For further information about variables, see *Talend Studio*<br>*User Guide*. |
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## Usage

| **Usage rule** | In a<br>Talend<br>Map/Reduce Job, this component is used as an intermediate<br>step and other components used along with it must be Map/Reduce components, too. They<br>generate native Map/Reduce code that can be executed directly in Hadoop.<br><br>For further information about a<br>Talend<br>Map/Reduce Job, see the sections<br>describing how to create, convert and configure a<br>Talend<br>Map/Reduce Job of the<br>**Talend Big Data Getting Started Guide**.<br><br>Note that in this documentation, unless otherwise<br>explicitly stated, a scenario presents only Standard Jobs,<br>that is to say traditional<br>Talend<br>data integration Jobs, and non Map/Reduce Jobs. |
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