Gld EAP 7 JMS Run: Difference between revisions

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output:
output:
   statistics:
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       file: test.csv
       file: receive.csv
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Revision as of 00:53, 12 February 2017

Internal

Overview

This page contains the configuration of a simple gld run that validates the installation and interoperability with EAP 7 JMS. You will need to copy an paste the content of the configuration files shown below into send.yml and receive.ml in the current directory.

Procedure

cd $RUNTIME_DIR/jboss-eap-7.0.4/profiles/jms
./run

The EAP profile must have a "jms/queue/novaordis" queue bound in JNDI.

Create a send.yml and receive.yml in the current directory, with the content shown below.

Send the messages:

gld -c ./send.yml

Then receive them:

gld -c ./receive.yml


After the run finishes, the "number-of-entries" for the default cache should be updated according to the cluster configuration and the number of operations.

/host=master/server=n1/subsystem=datagrid-infinispan/cache-container=clustered/distributed-cache=default:read-attribute(name=number-of-entries)

Configuration Files

send.yml

service:

  type: jms
  message-size: 1024

  load-strategy:
    name: receive
    queue: jms/queue/novaordis
    connection-factory: jms/RemoteConnectionFactory
    connection-policy: connection-per-run
    session-policy: session-per-operation
    user: jmsuser
    password: jmsuser123

  implementation:
    name: jboss-eap-7-jms
    version: 7.0.4
    jndi-url: localhost:8080 # remoting access to the JNDI server

load:

  threads: 1
  messages: 10000

output:
  statistics:
      file: send.csv

receive.yml

service:

  type: jms
  message-size: 1024

  load-strategy:
    name: send
    queue: jms/queue/novaordis
    connection-factory: jms/RemoteConnectionFactory
    connection-policy: connection-per-run
    session-policy: session-per-operation
    user: jmsuser
    password: jmsuser123

  implementation:
    name: jboss-eap-7-jms
    version: 7.0.4
    jndi-url: localhost:8080 # remoting access to the JNDI server

load:

  threads: 1
  messages: 10000

output:
  statistics:
      file: receive.csv