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:
|
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:
This connection is effective on a per-Job basis. |