Nathan, Liked ! <<It's like comparing a bicycle to an airplane.>>
On Sun, Nov 16, 2014 at 9:06 PM, Nathan Leung <[email protected]> wrote: > Also it supports cycles in the graph. It's like comparing a bicycle to an > airplane. > On Nov 16, 2014 2:03 PM, "Vladi Feigin" <[email protected]> wrote: > >> Storm is much more sophisticated then just filter-pipe pattern. >> It provides >> 1. Reliability: guarantees that every spout tuple will be fully >> processed. Actually it provides : at-most-once delivery(no ackers) , >> at-least-once >> delivery(ackers) and exactly-once (Trident) semantic for the message >> delivering/processing >> 2. Various types of tuples grouping >> 3. Scaling-out distributed system >> Vladi >> >> >> On Sun, Nov 16, 2014 at 8:29 PM, Patrick Wiener <[email protected]> >> wrote: >> >>> So basically Storm’s core concept can be compared to >>> pipes-and-filters-pattern BUT provides a more „user-friendly“ framework >>> than e.g. a unix based pipes-and-filters processing. >>> >>> btw: I haven’t come across with TRIDENT yet. Just starting to dive >>> deeper into Storm as a potential technology for a real-time analytics >>> architecture (e.g. KAFKA+STORM+NODE+D3). >>> >>> Am 16.11.2014 um 17:06 schrieb Nathan Leung <[email protected]>: >>> >>> Storm supports fan outs, joins, various data groupings, and easier >>> scalability than the canonical Unix based pipes and filters processing. >>> On Nov 16, 2014 10:53 AM, "Andres Gomez Ferrer" <[email protected]> >>> wrote: >>> >>>> Firstly your thoughts are correct :), but do you know Trindet’s api? >>>> >>>> Trindet provides functions and filters equivalent to bolts >>>> >>>> ____________________________________________________________ >>>> Andrés Gómez >>>> *Developer* >>>> redborder.net / [email protected] >>>> mobile: +34 606224922 >>>> http://lnkd.in/sHnbJe >>>> >>>> <LogoEneo1-300x119.png> <LogoRedBorder.png> >>>> ____________________________________________________________ >>>> >>>> >>>> En 16 de noviembre de 2014 en 15:25:10, Patrick Wiener ( >>>> [email protected]) escrito: >>>> >>>> >>>> Hey everybody, >>>> >>>> I am working on a universities project towards a comparison towards >>>> pipes-and-filters-pattern and Storm. >>>> Since I am new to Storm and its topology and operating mode I hope you >>>> can help me evaluating my train of thoughts. >>>> >>>> *Bolts* can be considered as Filters, whereas the *Spout* equals >>>> the „Data Source“ (internal view) *pushing* tuples (data) to the >>>> downstream bolt. >>>> Finally the last bolt within the topology pushes tuples into a Data >>>> Sink, e.g. Redis. >>>> For the external view the Spout is also *pulling* (not shown in >>>> picture) from external sources such as Kafka. >>>> >>>> Overall, Spouts implement pull and push mechanism and Bolts only push >>>> mechanism >>>> >>>> I know this might seem trivial to you guys but i really hope for some >>>> constructive help. >>>> >>>> >>>> <34AC046A-F649-4A4E-9DA6-5FB7FE16868F> >>>> >>>> >>> >>
