# tFilterRow 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 tFilterRow running in the MapReduce Job framework.
The MapReduce tFilterRow 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. |
| --- | --- |
| 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. |
## 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**.
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. |
| --- | --- |