Interestingly Google Chrome translates the materials. Cheers <k/> On Tue, Jan 6, 2015 at 7:26 PM, Boromir Widas <[email protected]> wrote:
> I do not understand Chinese but the diagrams on that page are very helpful. > > On Tue, Jan 6, 2015 at 9:46 PM, eric wong <[email protected]> wrote: > >> A good beginning if you are chinese. >> >> https://github.com/JerryLead/SparkInternals/tree/master/markdown >> >> 2015-01-07 10:13 GMT+08:00 [email protected] <[email protected]>: >> >>> Thank you, Tobias. I will look into the Spark paper. But it looks that >>> the paper has been moved, >>> http://www.cs.berkeley.edu/~matei/papers/2012/nsdi_spark.pdf. >>> A web page is returned (Resource not found)when I access it. >>> >>> ------------------------------ >>> [email protected] >>> >>> >>> *From:* Tobias Pfeiffer <[email protected]> >>> *Date:* 2015-01-07 09:24 >>> *To:* Todd <[email protected]> >>> *CC:* user <[email protected]> >>> *Subject:* Re: I think I am almost lost in the internals of Spark >>> Hi, >>> >>> On Tue, Jan 6, 2015 at 11:24 PM, Todd <[email protected]> wrote: >>> >>>> I am a bit new to Spark, except that I tried simple things like word >>>> count, and the examples given in the spark sql programming guide. >>>> Now, I am investigating the internals of Spark, but I think I am almost >>>> lost, because I could not grasp a whole picture what spark does when it >>>> executes the word count. >>>> >>> >>> I recommend understanding what an RDD is and how it is processed, using >>> >>> http://spark.apache.org/docs/latest/programming-guide.html#resilient-distributed-datasets-rdds >>> and probably also >>> http://www.cs.berkeley.edu/~matei/papers/2012/nsdi_spark.pdf >>> (once the server is back). >>> Understanding how an RDD is processed is probably most helpful to >>> understand the whole of Spark. >>> >>> Tobias >>> >>> >> >> >> -- >> 王海华 >> > >
