I am supposed to design and implement a distributed solution for a client.
I look at Akka and the Actor's model and immediately fall in love :-) But
can this love last?
Here is the brief description of the application, say MyApp:
MyApp reads and immediately acks requests from HTTPS client(s): HTTP POST
--> 201 created.
Each request has a unique tracsaction ID and contains multiple sub-requests
MyApp extracts sub-requests from a request
MyApp posts each sub-request on a JMS queue for external backend system
External system consumes and processes each sub-request and post
sub-response on another JMS queue or topic
MyApp consumes sub-responses and correlates them by transaction ID into a
single response
Send the response back to client
MyApp is going to be deployed on 4 or more nodes to support geo-redundancy.
I am thinking of Akka cluster and trying to come up with a design but still
have difficulties:
1) Request*Reader*Actor: read and ack requests
Question: client should be able to connect to any node. Do I need 4 of
this, one per node, or a clustered actor is ok, or there's a better way?
2) RequestReaderActor on receiving a request message:
2a) Sends the request to Request*Handler*Actor: split the request into
multiple sub-requests and put them on JMS queue
Question: Should I instead make RequestReaderActor a router to spawn a set
of RequestHandlerActors to handle potentially large load?
2b) Creates a ResponseAggregatorActor to wait with timeout and
correlate sub-responses from external system
3) SubResponseReaderActor: a JMS client to consume sub-responses from
external system
Question: similar to 1), do I need 4 of this, one per node?
Question: on receiving sub-response, how do I tell this actor to forward
the sub-response to the matching (by request ID) ResponseAggregatorActor?
4) What is the cost of creating actors on the fly? In general, when should
I prefer dynamic actors vs pre-created ones?
Thanks in advance for your comments, which certainly guide me to a better
design.
Khoa
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