But... then... i wonder how to do the following task, as i assumed MR would be the right thing to do:
- Imagine Facebook's "news feed", that every little time recompile the statuses, photos, comments, likes, etc... of all your contacts. Shouldn't this be done by MR? and if so... shouldn't the user be able to execute it by-demand if they want to refresh the news feed? ( or at least refreshed in the background every X minutes ) and the user able to GET the refreshed compiled data? Merci, Rohman On 09.04.2013 01:26, Matt Black wrote: > I think an short and explicit discussion of using sequential GETs would be good to add to the docs in [1]. It'll be helpful to put the alternate option in the reader's head so they can evaluate as they're going through the article. > > Cheers > Matt > > On 9 April 2013 02:02, Jeremiah Peschka <jeremiah.pesc...@gmail.com> wrote: > >> I want to follow up on the recent "Map phase timeout" thread [2]. In part out of curiosity and in part as a documentation clean up... Should the documentation at [1] be changed? Specifically, the docs say MR should be used: >> >> * WHEN YOU KNOW THE SET OF OBJECTS YOU WANT TO MAPREDUCE OVER (THE BUCKET-KEY PAIRS) (emphasis added) >> * When you want to return actual objects or pieces of the object - not just the keys, as do Search & Secondary Indexes >> * When you need utmost flexibility in querying your data. MapReduce gives you full access to your object and lets you pick it apart any way you want. >> >> It seems to me that a lot of discussions around MR in Riak come down to "You're close but this isn't the best use case of MapReduce in Riak." Would it be better, for the purposes of a general discussion, to say that MapReduce is the appropriate paradigm when you want to: >> >> * manipulate a large amount of data inside the Riak cluster in bulk - e.g. read all of my sales orders and where the version is 1, perform the changes necessary to update the order format to version 2. >> * burn a lot of I/O and make your admin sad >> * move data from one bucket to another >> * re-write an entire bucket so all data is indexed for 2i, search, etc >> * Anything where the query can be resumed with no knowledge of state at the time the last run of the query failed. >> >> Are there other use cases when MR is the better approach? >> >> [1]: http://docs.basho.com/riak/latest/tutorials/querying/MapReduce/#When-to-Use-MapReduce [1] >> [2]: http://riak.markmail.org/search/?q=#query:+page:1+mid:4o27v64qf55ejzwc+state:results [2] >> >> --- >> Jeremiah Peschka - Founder, Brent Ozar Unlimited >> MCITP: SQL Server 2008, MVP >> Cloudera Certified Developer for Apache Hadoop >> _______________________________________________ >> riak-users mailing list >> riak-users@lists.basho.com >> http://lists.basho.com/mailman/listinfo/riak-users_lists.basho.com [3] > > _______________________________________________ > riak-users mailing list > riak-users@lists.basho.com > http://lists.basho.com/mailman/listinfo/riak-users_lists.basho.com [3] -- [4] ANTONIO ROHMAN FERNANDEZ CEO, Founder & Lead Engineer roh...@mahalostudio.com PROJECTS MaruBatsu.es [5] PupCloud.com [6] Wedding Album [7] Links: ------ [1] http://docs.basho.com/riak/latest/tutorials/querying/MapReduce/#When-to-Use-MapReduce [2] http://riak.markmail.org/search/?q=#query:+page:1+mid:4o27v64qf55ejzwc+state:results [3] http://lists.basho.com/mailman/listinfo/riak-users_lists.basho.com [4] http://mahalostudio.com [5] http://marubatsu.es [6] http://pupcloud.com [7] http://wedding.mahalostudio.com
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