Define a storage configuration
component

Select the configuration component to be used to provide the configuration
information for the connection to the target file system such as HDFS.

If you leave this check box clear, the target file system is the local
system.

The configuration component to be used must be present in the same Job.
For example, if you have dropped a tHDFSConfiguration component in the Job, you can select it to write
the result in a given HDFS system.

Property type

Either Built-In or Repository.

Built-In: No property data stored centrally.

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

The fields that come after are pre-filled in using the fetched
data.

For further information about the File
Json node, see the section about setting up a JSON file
schema in
Talend Studio

User Guide.

Schema et 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.

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: 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.

Read by

Select a way of extracting the JSON data in the file.

• Xpath: Extracts the JSON data based on
  the XPath query.

• JsonPath: Extracts the JSON data based on
  the JSONPath query. Note that it is recommended to read the data by JSONPath in
  order to gain better performance.

Folder/File

Browse to, or enter the path pointing to the data to be used in the file system.

If the path you entered points to a folder, all files stored in
that folder will be read.

If the file to be read is a compressed one, enter the file name
with its extension; then tFileInputJSON automatically decompresses it at
runtime. The supported compression formats and their corresponding
extensions are:

• DEFLATE: *.deflate

• gzip: *.gz

• bzip2: *.bz2

• LZO: *.lzo

The button for browsing does not work with the Spark
Local mode; if you are
using the other Spark Yarn
modes that the Studio supports with your distribution, ensure that you have properly
configured the connection in a configuration component in the same Job, such as

tHDFSConfiguration
. Use the
configuration component depending on the filesystem to be used.

Die on error

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

Loop Jsonpath query

Enter the path pointing to the node within the JSON field, on which the loop is
based.

Note if you have selected Xpath from the Read
by drop-down list, the Loop Xpath
query field is displayed instead.

Mapping

Complete this table to map the columns defined in the schema to the
corresponding JSON nodes.

• Column: The Column cells are automatically filled with the defined schema
  column names.

• Json query/JSONPath query: Specify the JSONPath node that holds the
  desired data. For more information about JSONPath expressions, see http://goessner.net/articles/JsonPath/.

  This column is available only when JsonPath is selected from the Read
  By list.

• XPath query: Specify the XPath node that
  holds the desired data.

  This column is available only when Xpath is selected from the Read
  By list.

• Get Nodes: Select this check box to
  extract the JSON data of all the nodes or select the check box next to a
  specific node to extract the data of that node.

  This column is available only when Xpath is selected from the Read
  By list.

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 (.).

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.

Usage rule

This component is used as a start component and requires an output link.

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.