August 16, 2023

tMQTTInput – Docs for ESB 6.x

tMQTTInput

Acts as consumer of a MQTT topic to stream messages from this topic.

tMQTTInput
subscribes to a given MQTT topic, reads messages from this topic and constructs RDDs out
of these messages and then send them to its following component.

tMQTTInput properties for Apache Spark Streaming

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

The Spark Streaming
tMQTTInput component belongs to the Messaging family.

The streaming version of this component is available in the Palette of the Studio only if you have subscribed to Talend Real-time Big Data Platform or Talend Data
Fabric.

Basic settings

Broker URL

Enter the location of the MQTT broker to be used to route the published messages to the
subscriber (the tMQTTInput component).

Topic

Enter the topic you want tMQTTInput to subscribe
to.

QoS

Enter, without quotation marks around, the numeric level of QoS (Quality of Service) to be
assigned to the message to be used.

This quality level indicates how responsive you want MQTT to be to the message delivery request:

  • 0: it means a message may not be delivered or
    is delivered only once.

  • 1: it means a message is delivered at least
    once.

  • 2: it means a message is delivered exactly
    once.

For further explanation about the different levels of QoS, see http://www-01.ibm.com/support/knowledgecenter/SSFKSJ_8.0.0/com.ibm.mq.dev.doc/q029090_.htm.

Include topic column

Select this check box to add a topic column to the
schema to send the name of the topic along with its messages to the following component.

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.

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 MQTT message to be processed.

The input message body can use very different data formats. For example, if its format is
JSON, you need to use tExtractJSONField following tMQTTInput to extract the data to be processed from this body.

Advanced settings

Encoding

Select the encoding from the list or select Custom and define it manually.

This encoding is used by tMQTTInput to decode the input
message arrays.

Usage

Usage rule

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

At runtime, the tMQTTInput component keeps listening to
the topic and reads new messages once they are buffered in this topic.

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

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.

Limitation

Due to license incompatibility, one or more JARs required to use this component are not
provided. You can install the missing JARs for this particular component by clicking the
Install button on the Component tab view. You can also find out and add all missing JARs easily on the
Modules tab in the
Integration
perspective of your
studio. You can find more details about how to install external modules in Talend Help Center (https://help.talend.com).

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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