[infinispan-dev] Infinispan - Hadoop integration

[Emmanuel Bernard]

> On 13 mars 2014, at 23:39, Sanne Grinovero <sanne at infinispan.org> wrote:
> 
>> On 13 March 2014 22:19, Mircea Markus <mmarkus at redhat.com> wrote:
>> 
>>> On Mar 13, 2014, at 22:17, Sanne Grinovero <sanne at infinispan.org> wrote:
>>> 
>>>> On 13 March 2014 22:05, Mircea Markus <mmarkus at redhat.com> wrote:
>>>> 
>>>> On Mar 13, 2014, at 20:59, Ales Justin <ales.justin at gmail.com> wrote:
>>>> 
>>>>>> - also important to notice that we will have both an Hadoop and an Infinispan cluster running in parallel: the user will interact with the former in order to run M/R tasks. Hadoop will use Infinispan (integration achieved through InputFormat and OutputFormat ) in order to get the data to be processed.
>>>>> 
>>>>> Would this be 2 JVMs, or you can trick Hadoop to start Infinispan as well -- hence 1JVM?
>>>> 
>>>> good point, ideally it should be a single VM: reduced serialization cost (in vm access) and simpler architecture. That's if you're not using C/S mode, of course.
>>> 
>>> ?
>>> Don't try confusing us again on that :-)
>>> I think we agreed that the job would *always* run in strict locality
>>> with the datacontainer (i.e. in the same JVM). Sure, an Hadoop client
>>> would be connecting from somewhere else but that's unrelated.
>> 
>> we did discuss the possibility of running it over hotrod though, do you see a problem with that?
> 
> No of course not, we discussed that. I just mean I think that needs to
> be clarified on the list that the Hadoop engine will always run in the
> same JVM. Clients (be it Hot Rod via new custom commands or Hadoop
> native clients, or Hadoop clients over Hot Rod) can indeed connect
> remotely, but it's important to clarify that the processing itself
> will take advantage of locality in all configurations. In other words,
> to clarify that the serialization cost you mention for clients is just
> to transfer the job definition and optionally the final processing
> result.
> 

Not quite. The serialization cost Mircea mentions I think is between the Hadoop vm and the Infinispan vm on a single node. The serialization does not require network traffic but is still shuffling data between two processes basically. We could eliminate this by starting both Hadoop and Infinispan from the same VM but that requires more work than necessary for a prototype.

So to clarify, we will have a cluster of nodes where each node contains two JVM, one running an Hadoop process, one running an Infinispan process. The Hadoop process would only read the data from the Infinispan process in the same node during a normal M/R execution.