# tFilterRow properties for Apache Spark Streaming (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 Spark Streaming Job framework. Information noteDeprecation: Spark Streaming is deprecated beginning with the R2026-09 release. Use Spark Structured Streaming instead. The Spark Streaming tFilterRow component belongs to the Processing family. This component is available in Talend Real-Time Big Data Platform and Talend Data Fabric. ## Basic settings | Properties | Description | | --- | --- | | 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. | ## Usage | Usage guidance | Description | | --- | --- | | **Usage rule** | This component is used as an intermediate step.

This component, along with the Spark Streaming component Palette it belongs to, appears
only when you are creating a Spark Streaming Job.

Note that in this documentation, unless otherwise explicitly stated, a scenario presents
only Standard Jobs, that is to say traditional
Talend
data
integration Jobs. | | Spark Connection | In the Spark
Configuration tab in the Run
view, define the connection to a given Spark cluster for the whole Job. In
addition, since the Job expects its dependent jar files for execution, you must
specify the directory in the file system to which these jar files are
transferred so that Spark can access these files:



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