Thats the thing, if there were humans with inboxes I could have a staff 
call them on the phone and check. :) Reprocessing the messages is a pretty 
simple solution IF the messages were small in number. When you get to the 
point where there are literally millions of events the problem gets a bit 
more difficult to manage. If there are 10 million messages to process and 
the messages could take 10 minutes to process, if I check again 1 minute 
later and 8 million of the records still show unprocessed and then I add 
those 8 million back to the queue, now I have 16 million more messages to 
process. Then the next phase, 6 million, added to the queue -2 million 
processed, the is now 20 million messages and so on. by the time I am done 
with the original set, Ill have another 30 million messages to process, all 
of which are a waste of computing power because they do nothing. Clearly 
that I would like to avoid. Also setting the time to be for sure how long 
we need to process the first 10 million is not an option because the time 
and the number of messages are both variables that are unknown. 

Right now I put the messages that need to be processed in a map with a key 
and the process that runs every minute checks for messages not processed. 
Then it compares those ids against those in the map, if they are in the map 
it doesn't resubmit them. However, this doesn't seem to be a very Akkaesque 
solution to the problem. I am looking for ideas on how to handle it without 
using the map but it may be that I have to continue using the map to load 
the message queues. 


On Monday, May 9, 2016 at 2:33:54 AM UTC-5, √ wrote:
>
> I'm quite sure that inspecting the mbox will be costlier than reprocessing 
> at those sizes.
>
> Come up with two different solutions that you could perform between humans 
> having mailboxes. Pick the best of those.
>
> -- 
> Cheers,
> √
> On May 8, 2016 5:15 PM, "kraythe" <kra...@gmail.com <javascript:>> wrote:
>
>> I have a process that has to manage a large amount of data. I want to 
>> make the process reactive but it has to process every data element. The 
>> data is stored in Hazelcast in a map (which is backed by a database but 
>> that detail is irrelevant) and the data is stageful. At each state change 
>> something has to be done either to the data or related data. So if we go 
>> from State A to State B we might have to do something to another object in 
>> the process in a transactional manner. When the data is in state A a 
>> process finds the data and submits it to a map. Right now I have another 
>> thread reading from the map on intervals that are timed and if there is 
>> data in the map it processes the next entry in the map and so on. 
>>
>> I would like to turn this process into an Akka actor process but the main 
>> stumbling block is to know what is already in the queue. Say I have 1m 
>> objects to process. At each interval the objects are checked if they can 
>> change state and if they can then they are put in the map to process. The 
>> problem is there could be a ton of these objects and they might take longer 
>> to process than the check interval. Furthermore, although it would not be 
>> damaging to the data it would be immensely wasteful to put them into the 
>> queue to process twice. Finally if the server crashed or something happened 
>> I would want to put them back into the queue if they are still in state A 
>> and should move to state B. Right now I can get the key set of the map and 
>> not submit them to the process if they are already in the map. If, instead, 
>> I change the system to Akka, then that ability changes. Whenever an object 
>> needs to change state, I would put it in a message inbox to an actor to 
>> process but I have no way to know what is already in that inbox so it makes 
>> the processing of the messages less durable. If a transaction fails or node 
>> fails I won't know that certain objects need to be processed again. Right 
>> now I can search the store, get the objects to process, remove all the ones 
>> in the queue and then put only the missing ones in the queue. I don't know 
>> how I could architect this with akka. 
>>
>> What I would be looking for is some means to inspect an inbox to know if 
>> a message has already been enqueued and should not be enqueued again. 
>>
>> Any suggestions on how I could architect a solution to this problem? 
>>
>> -- 
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