Skip to main content

Migrating Apache Flume Flows to Apache NiFi: JMS To X and X to JMS

Migrating Apache Flume Flows to Apache NiFi:  JMS To/From Anywhere

This is a simple use case of being a gateway between JMS and other sources and sinks.   We can do a lot more than that in NiFi.  We can be a JMS Consumer or Producer.  All with No Code.  We can work with topics and queues and any message types you have.   We can turn tabular messages (JSON, CSV, XML, AVRO, Parquet, Grokable Text) into Records and process them at speed with queries, updates, merging and fast record processing that is schema aware.  So we know your fields and types and can validate those for you while real-time querying that data as it is sent from and to JMS topics and queues with Apache Calcite SQL.  We can store your schemas in our Cloudera Schema Registry and allow for REST API access to them.   Schemas are accessible from Spark, Flink, Kafka, NiFi and more.

It is extremely easy to do this in NiFi.

In our example we are using Apache ActiveMQ 5.15 as our example JMS Broker.   We are grabbing example data from a few different REST sources and pushing to and from our JMS broker.

Simple NiFi Flow For Pushing JMS Data to KUDU

We can monitor our JMS Activity in Apache ActiveMQ's Web Console

With Apache NiFi We Ingest All the REST Feeds

These feeds include Coinbase

NYC Demographics and Live Subway GTFS Data

Transit Land Feeds and Operators

World Trading Data

'Quandl REST Data

It is easy to Consume JMS messages from Topics or Queues

Consuming Messages in a snap, We just need to set our Connection Factory Service, Destination and Topic/Queue.

 JMS Connection Factory Settings, Just a Java Class, JAR path and Broker URI.   Yes we support SSL!

For JMS Queues, pick QUEUE and your QUEUE Name

Example JMS MetaData Produced including Delivery Mode, Expiration and Message ID

 Consume From a QUEUE

Consume From A TOPIC

Let's Push Any and All REST Feed to JMS Topics and Queues


Popular posts from this blog

Ingesting Drone Data From DJII Ryze Tello Drones Part 1 - Setup and Practice

Ingesting Drone Data From DJII Ryze Tello Drones Part 1 - Setup and Practice In Part 1, we will setup our drone, our communication environment, capture the data and do initial analysis. We will eventually grab live video stream for object detection, real-time flight control and real-time data ingest of photos, videos and sensor readings. We will have Apache NiFi react to live situations facing the drone and have it issue flight commands via UDP. In this initial section, we will control the drone with Python which can be triggered by NiFi. Apache NiFi will ingest log data that is stored as CSV files on a NiFi node connected to the drone's WiFi. This will eventually move to a dedicated embedded device running MiniFi. This is a small personal drone with less than 13 minutes of flight time per battery. This is not a commercial drone, but gives you an idea of the what you can do with drones. Drone Live Communications for Sensor Readings and Drone Control You must connect t

NiFi on Cloudera Data Platform Upgrade - April 2021

CFM 2.1.1 on CDP 7.1.6 There is a new Cloudera release of Apache NiFi now with SAML support. Apache NiFi Apache NiFi Registry See:   For changes: Get your download on: To start researching for the future, take a look at some of the technical preview features around Easy Rules engine and handlers. Make sure you use the latest possible JDK 8 as there are some bugs out there.   Use a recent v

Advanced XML Processing with Apache NiFi 1.9.1

Advanced XML Processing with Apache NiFi 1.9.1 With the latest version of Apache NiFi, you can now directly convert XML to JSON or Apache AVRO, CSV or any other format supported by RecordWriters.   This is a great advancement.  To make it even easier, you don't even need to know the schema before hand.   There is a built-in option to Infer Schema. The results of an RSS (XML) feed converted to JSON and displayed in a slack channel. Besides just RSS feeds, we can grab regular XML data including XML data that is wrapped in a Zip file (or even in a Zipfile in an email, SFTP server or Google Docs). Get the Hourly Weather Observation for the United States Decompress That Zip  Unpack That Zip into Files One ZIP becomes many XML files of data. An example XML record from a NOAA weather station. Converted to JSON Automagically Let's Read Those Records With A Query and Convert the results to JSON Records