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 Talend Real Time Big Data Platform and in
Talend Data Fabric.
Basic settings
Broker URL |
Enter the location of the MQTT broker to be used to route the published messages to the |
Topic |
Enter the topic you want tMQTTInput to subscribe |
QoS |
Enter, without quotation marks around, the numeric level of QoS (Quality of Service) to be This quality level indicates how responsive you want MQTT to be to the message delivery request:
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 and Edit |
A schema is a row description. It defines the number of fields The schema of this component is read-only. You can click This read-only payload column is used to carry the body The input message body can use very different data formats. For example, if its format is |
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 |
Usage
Usage rule |
This component is used as a start component and requires an output link. At runtime, the tMQTTInput component keeps listening to This component, along with the Spark Streaming component Palette it belongs to, appears Note that in this documentation, unless otherwise explicitly stated, a scenario presents |
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. |
Limitation |
Due to license incompatibility, one or more JARs required to use |
Related scenarios
No scenario is available for the Spark Streaming version of this component
yet.