# tExtractDelimitedFields 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 tExtractDelimitedFields running in the MapReduce Job framework. The MapReduce tExtractDelimitedFields 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.

Information noteNote: If you
make changes, the schema automatically becomes built-in. | | --- | --- | | | 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. | | Prev.Comp.Column list | Select the column you need to extract data from. | | Die on error | Select the check box to stop the execution of the Job when an error
occurs. | | Field separator | Enter a character, a string, or a regular expression to separate
fields for the transferred data. | | CSV options | Select this check box to include CSV specific parameters such as
Escape char and Text enclosure.

Information noteImportant: With Spark version 2.0
and onward, special characters must be escaped, that is "\\" and
"\"" instead of "\" and
""". | ## Advanced settings | Custom Encoding | You may encounter encoding issues when you process the stored data. In that
situation, select this check box to display the Encoding list.

Then select the encoding to be used from the list or select Custom and define it manually. | | --- | --- | | Advanced separator (for number) | Select this check box to change the separator used for numbers. By default, the thousands separator is a comma (*,*) and the decimal separator is a period (*.*). | | Trim all columns | Select this check box to remove the leading and trailing whitespaces from all
columns. When this check box is cleared, the Check column to
trim table is displayed, which lets you select particular columns to
trim. | | Check column to trim | This table is filled automatically with the schema being used. Select the check
box(es) corresponding to the column(s) to be trimmed. | | Check each row structure against
schema | Select this check box to check whether the total number of columns
in each row is consistent with the schema. If not consistent, an
error message will be displayed on the console. | | Check date | Select this check box to check the date format strictly against the input schema. | | Decode String for long, int, short, byte
Types | Select this check box if any of your numeric types (long, integer, short, or byte type), will
be parsed from a hexadecimal or octal string. | ## 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.

Once a Map/Reduce Job is opened in the workspace, tExtractDelimitedFields as well as the
MapReduce family appears in the Palette
of the Studio.

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. | | --- | --- | | Hadoop Connection | You need to use the Hadoop Configuration tab in the
Run view to define the connection to a given Hadoop
distribution for the whole Job.

This connection is effective on a per-Job basis. |