Building a distributed data pipeline
Building a distributed data pipeline is almost exactly the same as building a data pipeline to run on a single machine. NiFi will handle the logistics of passing and recombining the data. A basic data pipeline is shown in the following screenshot:
Figure 16.4 – A basic data pipeline to generate data, extract attributes to json, and write to disk
The preceding data pipeline uses the GenerateFlowFile processor to create unique flowfiles. This is passed downstream to the AttributesToJSON processor, which extracts the attributes and writes to the flowfile content. Lastly, the file is written to disk at /home/paulcrickard/output.
Before running the data pipeline, you will need to make sure that you have the output directory for the PutFile processor on each node. Earlier, I said that data pipelines are no different when distributed, but there are some things you must keep in mind, one being that PutFile will write...
