tWriteXMLFields properties for Apache Spark Structured Streaming | Talend Components for Jobs Help
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tWriteXMLFields properties for Apache Spark Structured Streaming

Last updated: 9/30/2026
Feature in preview

Use these properties to configure tWriteXMLFields running in the Spark Structured Streaming Job framework.

The Spark Structured Streaming tWriteXMLFields 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

Properties Description
Output column Select the schema column that will hold the serialized XML string.
Configure XML Tree Click ... to open the XML mapping editor, where you define the XML structure by mapping input columns to XML paths. The editor supports three mapping sections:
  • Root: defines the top-level XML structure and maps input columns to root-level elements or attributes.
  • Group: defines intermediate grouping elements in the XML structure.
  • Loop: defines the repeated elements serialized once per grouped row.
Schema and Edit schema

A schema is a row description. It defines the fields (columns) processed by the component. When you create a Spark Job, avoid the reserved word line when naming fields.

  • Built-In: create and store the schema locally for this component only.

  • Repository: reuse a schema created and stored in the Repository across projects and Job designs.

Click Edit schema to modify the schema. If you modify a Repository schema, the available options include:

  • View schema: view the schema without modifying it.

  • Change to built-in property: change the schema to Built-in for local changes.

  • Update repository connection: modify the Repository schema and choose whether to propagate the changes to other Jobs.
Use group by Select this check box to group multiple input rows into a single XML document. In the table that appears, add the columns used as grouping keys.
Use data column as partition key Select this check box to use a data column as the partition key when writing to a downstream component such as tKinesisOutput.

Advanced settings

Properties Description
Create empty element if needed Select this check box to include empty XML elements in the output when an input column has no value. This check box is selected by default.
Encoding Select the character encoding for the XML output from the drop-down list.

Usage

Usage guidance Description
Usage rule

This component is used as an intermediate step.

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

Spark Connection

You need to use the Structured Streaming Configuration tab in the Run view to define the connection to a Spark cluster for the whole Job.

This connection is effective on a per-Job basis.

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