Recently i had a requirement in which i wanted to figure out how to read XML documents stored as message in IBM MQ and post them into Hadoop. I decided to use Apache Flume + Flume JMS Source + Flume HDFS Sink for this. I had to use following steps for this setup. Please note that i am not WebSphere MQ expert so there might be a better/easier way to achieve this.

1. First i had to install WebSphere MQ Client on my windows machine
2. Next i did create a simple jms.config like this in c:\temp folder of my windows box
   

   INITIAL_CONTEXT_FACTORY=com.sun.jndi.fscontext.RefFSContextFactoryPROVIDER_URL=file:/C:/temp/jmsbinding

3. Next step is to run JMSAdmin.bat c:\temp\jms.config, it opens up a console like this, type following command in it and change it to use the right configuration that you need
   

   DEF CF(myConnectionFactory) QMGR(myQueueManager) HOSTNAME(myHostName) PORT(1426) CHANNEL(myChannelName) TRANSPORT(CLIENT)

   Once you execute this command it will generate .bindings file in C:/temp/jmsbinding (Folder that is configured as value of PROVIDER_URL)

4. Next step for me was to copy the C:/temp/jmsbinding/.bindings folder to /etc/flume/conf folder in my linux box which has Flume running on it.
5. In addition to bindings file i also need the MQ client jar files. I started by copying jms.jar from C:\Program Files (x86)\IBM\WebSphere MQ\java\lib to /usr/hdp/current/flume-server/lib/ folder in my Hadoop installation, but i kept getting ClassNotFoundException and to deal with that i copied more and more jars from my MQ Client into Flume
   

   jms.jarfscontext.jarjndi.jarproviderutil.jarcom.ibm.mq.jarcom.ibm.mqjms.jarcom.ibm.mq.pcf.jarconnector.jardhbcore.jarcom.ibm.mq.jmqi.jarcom.ibm.mq.headers.jar

6. Once the Flume MQ setup was in place, last step was to create Flume Configuration that points to your bindings file and also points to your MQ server like this
   

   # Flume agent config#st the sources, channels, and sinks for the agentggflume.sources = jmsggflume.channels = memoryggflume.sinks = hadoopggflume.sources.jms.channels=memoryggflume.sinks.hadoop.channel=memoryggflume.sources.jms.type = jmsggflume.sources.jms.providerURL = file:///etc/flume/confggflume.sources.jms.initialContextFactory = com.sun.jndi.fscontext.RefFSContextFactoryggflume.sources.jms.destinationType=QUEUEggflume.sources.jms.destinationName=<channelName>ggflume.sources.jms.connectionFactory=myConnectionFactoryggflume.sources.jms.batchSize=1ggflume.channels.memory.type = memoryggflume.channels.memory.capacity = 1000ggflume.channels.memory.transactionCapacity = 100ggflume.sinks.hadoop.type=hdfsggflume.sinks.hadoop.hdfs.path=/data/mq/xmlggflume.sinks.hadoop.hdfs.filePrefix=sample

7. Now start flume server by executing following flume command flume-ng agent --conf conf --conf-file mqflume.conf --name ggflume -Dflume.root.logger=DEBUG,console

Now you should see the existing messages from MQ being dumped into HDFS