git commit: [Helix-41] Disabling the test flapping test case

[ki...@apache.org]

Updated Branches:
  refs/heads/master 6f1bc4b4d -> db9e7d52a


[Helix-41] Disabling the test flapping test case


Project: http://git-wip-us.apache.org/repos/asf/incubator-helix/repo
Commit: http://git-wip-us.apache.org/repos/asf/incubator-helix/commit/db9e7d52
Tree: http://git-wip-us.apache.org/repos/asf/incubator-helix/tree/db9e7d52
Diff: http://git-wip-us.apache.org/repos/asf/incubator-helix/diff/db9e7d52

Branch: refs/heads/master
Commit: db9e7d52a065c2e21ad0cda8d53b83caa64fe995
Parents: 6f1bc4b
Author: Kishore Gopalakrishna <g....@gmail.com>
Authored: Mon Feb 4 17:29:34 2013 -0800
Committer: Kishore Gopalakrishna <g....@gmail.com>
Committed: Mon Feb 4 17:29:34 2013 -0800

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 .../manager/zk/TestZkManagerFlappingDetection.java |    2 +-
 .../markdown/recipes/rabbitmq_consumer_group.md    |   13 +++++++------
 2 files changed, 8 insertions(+), 7 deletions(-)
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http://git-wip-us.apache.org/repos/asf/incubator-helix/blob/db9e7d52/helix-core/src/test/java/org/apache/helix/manager/zk/TestZkManagerFlappingDetection.java
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diff --git a/helix-core/src/test/java/org/apache/helix/manager/zk/TestZkManagerFlappingDetection.java b/helix-core/src/test/java/org/apache/helix/manager/zk/TestZkManagerFlappingDetection.java
index 67d8a6b..e354990 100644
--- a/helix-core/src/test/java/org/apache/helix/manager/zk/TestZkManagerFlappingDetection.java
+++ b/helix-core/src/test/java/org/apache/helix/manager/zk/TestZkManagerFlappingDetection.java
@@ -78,7 +78,7 @@ public class TestZkManagerFlappingDetection extends ZkIntegrationTestBase
       Assert.assertFalse(manager.isConnected());
   }
   
-  @Test
+  @Test(enabled=false)
   public void testDisconnectFlappingWindow() throws Exception
   {
     String className = TestHelper.getTestClassName();

http://git-wip-us.apache.org/repos/asf/incubator-helix/blob/db9e7d52/src/site/markdown/recipes/rabbitmq_consumer_group.md
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diff --git a/src/site/markdown/recipes/rabbitmq_consumer_group.md b/src/site/markdown/recipes/rabbitmq_consumer_group.md
index 023d9cf..ec3053a 100644
--- a/src/site/markdown/recipes/rabbitmq_consumer_group.md
+++ b/src/site/markdown/recipes/rabbitmq_consumer_group.md
@@ -26,25 +26,26 @@ RabbitMQ Consumer Group
 One of the commonly implemented recipes using this software is a work queue.  http://www.rabbitmq.com/tutorials/tutorial-four-java.html describes the use case where
 
 * A producer sends a message with a routing key. 
-* The message goes to the queues whose binding key exactly matches the routing key of the message.	
+* The message is routed to the queue whose binding key exactly matches the routing key of the message.	
 * There are multiple consumers and each consumer is interested in processing only a subset of the messages by binding to the interested keys
 
-The example provided [here](http://www.rabbitmq.com/tutorials/tutorial-four-java.html) describes how multiple consumers can be started to process all the tasks.
+The example provided [here](http://www.rabbitmq.com/tutorials/tutorial-four-java.html) describes how multiple consumers can be started to process all the messages.
 
 While this works, in production systems one needs the following 
+
 * Ability to handle failures: when a consumers fails another consumer must be started or the other consumers must start processing these messages that should have been processed by the failed consumer.
 * When the existing consumers cannot keep up with the task generation rate, new consumers will be added. The tasks must be redistributed among all the consumers. 
 
-In this sample app, we explain how these set of consumers can be grouped together and handle consumer failures and expansion automatically.
+In this recipe, we demonstrate handling of consumer failures and new consumer additions using Helix.
 
 Mapping this usecase to Helix is pretty easy as the binding key/routing key is equivalent to a partition. 
 
-Lets take a real example. Lets say a topic has 6 partitions, and we have 2 consumers to process all the queues. 
+Let's take an example. Lets say the queue has 6 partitions, and we have 2 consumers to process all the queues. 
 What we want is all 6 queues to be evenly divided among 2 consumers. 
 Eventually when the system scales, we add more consumers to keep up. This will make each consumer process tasks from 2 queues.
-Now let's say that a consumer fails and that the number of active consumers is now reduced to 2. This means each consumer must process 3 queues.
+Now let's say that a consumer failed which reduces the number of active consumers to 2. This means each consumer must process 3 queues.
 
-We showcase how such a dynamic App can be developed using Helix. 
+We showcase how such a dynamic App can be developed using Helix. Even though we use rabbitmq as the pub/sub system one can extend this solution to other pub/sub systems.
 
 Try it
 ======