July 30, 2023

tRestWebServiceOutput – Docs for ESB 7.x

tRestWebServiceOutput

Serves as a REpresentational State Transfer (REST) Web service client that
continuously sends HTTP requests to a REST Web service provider in real time and gets the
responses.

tRestWebServiceOutput properties for Apache Spark Streaming

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

The Spark Streaming
tRestWebServiceOutput component belongs to the Webservice family.

The streaming version of this component is available in Talend Real Time Big Data Platform and in
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. When you create a Spark
Job, avoid the reserved word line when naming the
fields.

The schema of this component is read-only. You can click
Edit schema to view the schema.

This read-only payload column is used to carry the body
of the request to be processed. Note that you must define a same payload column in the schema of the preceding component to send data to this
read-only column.

URL

Enter the URL address of the REST Web server to be invoked.

HTTP Method

From this list, select an HTTP method that describes the desired action. The specific
meanings of the HTTP methods are subject to definitions of your Web service provider. Listed
below are the generally accepted HTTP methods:

  • PUT: updates data based on the given parameters, or
    if the data does not exist, creates it.

  • POST: creates and uploads data based on the given
    parameters.

  • DELETE: removes data based on the given parameters.

HTTP Headers

Enter the name-value pair(s) for HTTP headers to define the parameters of the requested
HTTP operation.

For the specific definitions of HTTP headers, consult your REST Web service provider. For
reference information, visit en.wikipedia.org/wiki/List_of_HTTP_headers.

Advanced settings

Use SSL/TLS

Select this check box to enable the SSL or TLS encrypted connection.

Then you need to use the tSetKeystore
component in the same Job to specify the encryption information.

Usage

Usage rule

This component is used as an end component and requires an input 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

In the Spark
Configuration
tab in the Run
view, 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 (Yarn client or Yarn cluster):

    • When using Google Dataproc, specify a bucket in the
      Google Storage staging bucket
      field in the Spark configuration
      tab.

    • When using HDInsight, specify the blob to be used for Job
      deployment in the Windows Azure Storage
      configuration
      area in the Spark
      configuration
      tab.

    • When using Altus, specify the S3 bucket or the Azure
      Data Lake Storage for Job deployment in the Spark
      configuration
      tab.
    • When using Qubole, add a
      tS3Configuration to your Job to write
      your actual business data in the S3 system with Qubole. Without
      tS3Configuration, this business data is
      written in the Qubole HDFS system and destroyed once you shut
      down your cluster.
    • When using on-premise
      distributions, use the configuration component corresponding
      to the file system your cluster is using. Typically, this
      system is HDFS and so use tHDFSConfiguration.

  • Standalone mode: use the
    configuration component corresponding to the file system your cluster is
    using, such as tHDFSConfiguration or
    tS3Configuration.

    If you are using Databricks without any configuration component present
    in your Job, your business data is written directly in DBFS (Databricks
    Filesystem).

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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