# tWriteDelimitedFields properties for Apache Spark Streaming These properties are used to configure tWriteDelimitedFields running in the Spark Streaming Job framework. The Spark Streaming tWriteDelimitedFields component belongs to the Processing family. The streaming version of this component is available in Talend Real Time Big Data Platform and in Talend Data Fabric. ## Basic settings | Output type | Select the type of the data to be outputted into the target file. The data is
byte arrays if you select byte. | | --- | --- | | 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.

The schema of this component is read-only. You can click
Edit schema to view the schema.

When the output type is String, the read-only single column is messageContent. This column is used to provide strings to the output components
such as tJMSOutput.

When the output type is byte, the read-only single column is serializedValue. This column is used to provide byte arrays to the output
components such as tKafkaOutput. | | Include header | Select this check box to include the column header to the file. | | Field separator | Enter a character, a string, or a regular expression to separate
fields for the transferred data. | | 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.

Select the encoding from the list or select Custom
and define it manually. This field is compulsory for database data handling. The
supported encodings depend on the JVM that you are using. For more information, see
[https://docs.oracle.com](https://docs.oracle.com/). | ## Advanced settings | 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 (*.*). | | --- | --- | | 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
""". | ## Usage | **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. |