Skip to main content

Publishing and Consuming JMS Messages from Tibco Enterprise Message Service (JMS) with Apache NiFi

TIBCO Enterprise Message Service
I tested this against the most recent release of TIBCO Enterprise Message Service and their JMS driver available via trial download. I followed the very easy install directions. I downloaded it to a Centos 7 server.
Expanded my download to TIB_ems-dev_8.4.0_linux_x86_64
Then made it executable and ran TIBCOUniversalInstaller-lnx-x86-64.bin --console.
I used all the defaults (I picked server and client) and then quickly ran the finished install server.
Running Tibco on Centos 7
  1. cd /opt/tibco/ems/8.4/bin/
  2. ./tibemsd64 -config ~/TIBCO_HOME/tibco/cfgmgmt/ems/data/tibemsd.conf
Example JMS Queue Settings
  1. URL: tcp://servername:7222
  3. class: com.tibco.tibjms.TibjmsQueueConnectionFactory
  5. Directory: /opt/tibco/ems/8.4/lib/
I believe it just uses these files from that directory:
  • tibjms.jar
  • jms-2.0.jar
Once I have my server and port shown, it's easy to add those settings to Apache NiFi.
The settings I need to Publish messages is below.
After you enter your username and queue, you need to create (or use) a controller service.
Then we use our settings for our server, mine are the default ones. Make sure you enter the lib directory containing your jars and that it is on the Apache NiFi server and Apache NiFi user has permissions to read them.
You can also use this same controller to Consume JMS messages from TIBCO EMS.
These are example metadata attributes that Apache NiFi provides to you on message receipt.
Example Run Log of my TIBCO EMS v8.4.0 Server running on Linux.
Example Flow
Example Data
  1. {
  2. "top1pct" : "43.1",
  3. "top5" : "n09428293 seashore, coast, seacoast, sea-coast",
  4. "top4" : "n04371774 swing",
  5. "top3" : "n02894605 breakwater, groin, groyne, mole, bulwark, seawall, jetty",
  6. "top2" : "n03933933 pier",
  7. "top1" : "n03216828 dock, dockage, docking facility",
  8. "top2pct" : "34.3",
  9. "imagefilename" : "/opt/demo/images/201817121004997.jpg",
  10. "top3pct" : "3.8",
  11. "uuid" : "mxnet_uuid_img_20180413140808",
  12. "top4pct" : "2.7",
  13. "top5pct" : "2.4",
  14. "runtime" : "1.0"
  15. }
This is example JSON data, we could use any TEXT.

Popular posts from this blog

Migrating Apache Flume Flows to Apache NiFi: Kafka Source to HDFS / Kudu / File / Hive

Migrating Apache Flume Flows to Apache NiFi: Kafka Source to HDFS / Kudu / File / HiveArticle 7 - Article 6 -
Article 5 - 
Article 4 - Article 3 - Article 2 - Article 1 Source Code:
This is one possible simple, fast replacement for "Flafka".

Consume / Publish Kafka And Store to Files, HDFS, Hive 3.1, Kudu

Consume Kafka Flow 

 Merge Records And Store As AVRO or ORC
Consume Kafka, Update Records via Machine Learning Models In CDSW And Store to Kudu


Exploring Apache NiFi 1.10: Stateless Engine and Parameters

Exploring Apache NiFi 1.10:   Stateless Engine and Parameters Apache NiFi is now available in 1.10!

You can now use JDK 8 or JDK 11!   I am running in JDK 11, seems a bit faster.

A huge feature is the addition of Parameters!   And you can use these to pass parameters to Apache NiFi Stateless!

A few lesser Processors have been moved from the main download, see here for migration hints:

Release Notes:

Example Source Code:

More New Features:

ParquetReader/Writer (See: Reporting Task.   Expect more Prometheus stuff coming.Experimental Encrypted content repository.   People asked me for this one before.Par…

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 to the drone…