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. The schema is either Built-In or stored remotely in the Repository.

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.

The output schema and its read-only column can be seen by clicking the Row > Output link to the component that follows in the same Job.
The schema is displayed in the Basic settings tab of the
Component view

Include header

Select this check box to include the column header to the file.

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.

Formats

Customize the data format of the positional file for each column from the input
schema.

• Column: Select the column you want to
  customize.

• Size: Enter the column size.

• Padding char: Type in between quotes the padding
  characters used. A space by default.

• Alignment: Select the appropriate alignment
  parameter.

• Keep: If the data in the column or in the field
  are too long, select the part you want to keep.

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 (.).

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

This connection is effective on a per-Job basis.