August 15, 2023

tBoundedStreamInput – Docs for ESB 6.x

tBoundedStreamInput

Provide a data stream for the component to be tested and is suitable for use in a
test case only.

tBoundedStreamInput
loads data put in its Basic settings tab or from a
given context variable in order to generates a data stream.

tBoundedStreamInput
is available only in a test case about a given component and is added automatically to
the test case you are using. For further information about test cases, see
Talend Studio User Guide
.

tBoundedStreamInput properties for Apache Spark Streaming

These properties are used to configure tBoundedStreamInput running in the Spark Streaming Job framework.

The Spark Streaming
tBoundedStreamInput component belongs to the Technical family.

The component in this framework is available only if you have subscribed to Talend Real-time Big Data Platform or Talend Data
Fabric.

Basic settings

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.

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. Related topic: see
Talend Studio

User Guide.

 

Repository: You have already created
the schema and stored it in the Repository. You can reuse it in various projects and
Job designs. Related topic: see
Talend Studio

User Guide.

Mode

Select the mode that you want to use to generate the data
stream.

  • Use Inline Content: enter the
    data that you want to generate.

  • Use context variable: enter
    the name of variable to be used to provide data. This variable
    must have been defined in the Contexts tab of the current Job.

    The syntax to call a variable is context.VariableName.

In either mode, the data you provide must use the separators you have
defined in the Row separator, Field Separator and Micro batch separator fields.

Usage

Usage rule

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

This component is added automatically to a test case being created to provide input
data.

Spark Connection

You need to use the Spark Configuration tab in
the Run view to 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:

  • Yarn mode: when using Google
    Dataproc, specify a bucket in the Google Storage staging
    bucket
    field in the Spark
    configuration
    tab; when using other distributions, use a
    tHDFSConfiguration
    component to specify the directory.

  • Standalone mode: you need to choose
    the configuration component depending on the file system you are using, such
    as tHDFSConfiguration
    or tS3Configuration.

This connection is effective on a per-Job basis.

Related scenarios

No scenario is available for the Spark Streaming version of this component
yet.


Document get from Talend https://help.talend.com
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