I'd be interested to see where this leads to. It could end up as a sort of Commons Parallel library. Besides providing an execution API, there could be plenty of support utilities that tend to be found in all the *Util(s)/*Helper classes in projects like all the ones I mentioned earlier (basically all sorts of Hadoop-related projects and other distributed systems here).
Really, there's so many ways that such a project could head, I'd like to hear more ideas on what to focus on. On 12 June 2017 at 18:19, Gary Gregory <garydgreg...@gmail.com> wrote: > The upshot is that there has to be a way to do this with some custom code > to at least have the ability to 'fast path' the code without reflection. > Using lambdas should make this fairly syntactically unobtrusive. > > On Mon, Jun 12, 2017 at 4:02 PM, Arun Mohan <strider90a...@gmail.com> > wrote: > > > Yes, reflection is not very performant but I don't think I have any other > > choice since the library has to inspect the object supplied by the client > > at runtime to pick out the methods to be invoked using CompletableFuture. > > But the performance penalty paid for using reflection will be more than > > offset by the savings of parallel method execution, more so as the no of > > methods executed in parallel increases. > > > > On Mon, Jun 12, 2017 at 3:21 PM, Gary Gregory <garydgreg...@gmail.com> > > wrote: > > > > > On a lower-level, if you want to use this for lower-level services > (where > > > there is no network latency for example), you will need to avoid using > > > reflection to get the best performance. > > > > > > Gary > > > > > > On Mon, Jun 12, 2017 at 3:15 PM, Arun Mohan <strider90a...@gmail.com> > > > wrote: > > > > > > > Hi Gary, > > > > > > > > Thanks for your response. You have some valid and interesting points > > :-) > > > > Of course you are right that Spark is much more mature. Thanks for > your > > > > insight. > > > > It will be interesting indeed to find out if the core parallelization > > > > engine of Spark can be isolated like you suggest. > > > > > > > > I started working on this project because I felt that there was no > good > > > > library for parallelizing method calls which can be plugged in easily > > > into > > > > an existing java project. Ultimately, if such a solution can be > > > > incorporated in the Apache Commons, it would be a useful addition to > > the > > > > Commons repository. > > > > > > > > Thanks, > > > > Arun > > > > > > > > > > > > > > > > On Mon, Jun 12, 2017 at 3:01 PM, Gary Gregory < > garydgreg...@gmail.com> > > > > wrote: > > > > > > > > > Hi Arun, > > > > > > > > > > Sure, and that is to be expected, Spark is more mature than a four > > > class > > > > > prototype. What I am trying to get to is that in order for the > > library > > > to > > > > > be useful, you will end up with more in a first release, and after > a > > > > couple > > > > > more releases, there will be more and more. Would Spark not have in > > its > > > > > guts the same kind of code your are proposing here? By extension, > > will > > > > you > > > > > not end up with more framework-like (Spark-like) code and solutions > > as > > > > > found in Spark? I am just playing devil's advocate here ;-) > > > > > > > > > > > > > > > What would be interesting would be to find out if there is a core > > part > > > of > > > > > Spark that is separable and ex tractable into a Commons component. > > > Since > > > > > Spark has a proven track record, it is more likely, that such a > > library > > > > > would be generally useful than one created from scratch that does > not > > > > > integrate with anything else. Again, please do not take any of this > > > > > personally, I am just playing here :-) > > > > > > > > > > Gary > > > > > > > > > > > > > > > On Mon, Jun 12, 2017 at 2:29 PM, Matt Sicker <boa...@gmail.com> > > wrote: > > > > > > > > > > > I already see a huge difference here: Spark requires a bunch of > > > > > > infrastructure to be set up, while this library is just a > library. > > > > > Similar > > > > > > to Kafka Streams versus Spark Streaming or Flink or Storm or > Samza > > or > > > > the > > > > > > others. > > > > > > > > > > > > On 12 June 2017 at 16:28, Gary Gregory <garydgreg...@gmail.com> > > > wrote: > > > > > > > > > > > > > On Mon, Jun 12, 2017 at 2:26 PM, Arun Mohan < > > > strider90a...@gmail.com > > > > > > > > > > > > wrote: > > > > > > > > > > > > > > > Hi All, > > > > > > > > > > > > > > > > Good afternoon. > > > > > > > > > > > > > > > > I have been working on a java generic parallel execution > > library > > > > > which > > > > > > > will > > > > > > > > allow clients to execute methods in parallel irrespective of > > the > > > > > number > > > > > > > of > > > > > > > > method arguments, type of method arguments, return type of > the > > > > method > > > > > > > etc. > > > > > > > > > > > > > > > > Here is the link to the source code: > > > > > > > > https://github.com/striderarun/parallel-execution-engine > > > > > > > > > > > > > > > > The project is in a nascent state and I am the only > contributor > > > so > > > > > > far. I > > > > > > > > am new to the Apache community and I would like to bring this > > > > project > > > > > > > into > > > > > > > > Apache and improve, expand and build a developer community > > around > > > > it. > > > > > > > > > > > > > > > > I think this project can be a sub project of Apache Commons > > since > > > > it > > > > > > > > provides generic components for parallelizing any kind of > > > methods. > > > > > > > > > > > > > > > > Can somebody please guide me or suggest what other options I > > can > > > > > > explore > > > > > > > ? > > > > > > > > > > > > > > > > > > > > > > Hi Arun, > > > > > > > > > > > > > > Thank you for your proposal. > > > > > > > > > > > > > > How would this be different from Apache Spark? > > > > > > > > > > > > > > Thank you, > > > > > > > Gary > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > Thanks, > > > > > > > > Arun > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > -- > > > > > > Matt Sicker <boa...@gmail.com> > > > > > > > > > > > > > > > > > > > > > -- Matt Sicker <boa...@gmail.com>
