tExtractXMLField properties for Apache Spark Streaming

Property type

Either Built-In or Repository.

Click Edit schema to make changes to the schema. If the current schema is of the Repository type, three options are available:

• View schema: choose this option to view the schema only.

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

• Update repository connection: choose this option to change the schema stored in the repository and decide whether to propagate the changes to all the Jobs upon completion.

  If you just want to propagate the changes to the current Job, you can select No upon completion and choose this schema metadata again in the Repository Content window.

Built-In: No property data stored centrally.

Repository: Select the repository file where the properties are stored.

When this file is selected, the fields that follow are pre-filled in using fetched data.

Schema type 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.

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

Repository: You have already created the schema and stored it in the Repository. You can reuse it in various projects and Job designs.

XML field

Name of the XML field to be processed.

Loop XPath query

Node of the XML tree, which the loop is based on.

Mapping

Column: reflects the schema as defined by the Schema type field.

XPath Query: Enter the fields to be extracted from the structured input.

Get nodes: Select this check box to recuperate the XML content of all current nodes specified in the Xpath query list or select the check box next to specific XML nodes to recuperate only the content of the selected nodes.

Die on error

Select the check box to stop the execution of the Job when an error occurs.

Clear the check box to skip any rows on error and complete the process for error-free rows. When errors are skipped, you can collect the rows on error using a Row > Reject link.

Ignore the namespaces

Select this check box to ignore namespaces when reading and extracting the XML data.

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.