@Nathan: :) thanks for the quality comparison. Nice bottom line for a presentaton/conclusion.
@all: thank you for your help. Awesome support in this community. > Am 17.11.2014 um 07:58 schrieb Vladi Feigin <[email protected]>: > > 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> >
