Hi,

that quoted statement doesn't make too much sense for me, either. Maybe if
you had a link for us that shows the context (Google doesn't reveal
anything but this conversation), we could evaluate that statement better.

Tobias


On Tue, Jul 29, 2014 at 5:53 PM, Sean Owen <so...@cloudera.com> wrote:

> I'm not sure I understand this, maybe because the context is missing.
> An RDD is immutable, so there is no such thing as writing to an RDD.
> I'm not sure which aspect is being referred to as single-threaded. Is
> this the Spark Streaming driver?
>
> What is the difference between "streaming into Spark" and "reading
> from the stream"? Streaming data into Spark means Spark reads the
> stream.
>
> A mini batch of data is exposed as an RDD, but the stream processing
> continues while it is operated on. Saving the RDDs is one of the most
> basic operations exposed by streaming:
>
> http://spark.apache.org/docs/latest/streaming-programming-guide.html#output-operations
>  No, you do not stop the stream processing to persist it. In fact you
> couldn't.
>
> On that basis, no, this sounds fairly wrong.
>
> On Tue, Jul 29, 2014 at 1:37 AM, Rohit Pujari <rpuj...@hortonworks.com>
> wrote:
> > Hello folks:
> >
> > I came across a thread that said
> >
> > "A Spark RDD read/write access is driven by a context object and is
> single
> > threaded.  You cannot stream into Spark and read from the stream at the
> same
> > time.  You have to stop the stream processing, snapshot the RDD and
> > continue"
> >
> > Can you please offer some insights?
> >
> >
> > Thanks,
> > Rohit Pujari
> > Solutions Engineer, Hortonworks
> > rpuj...@hortonworks.com
> > 716-430-6899
> >
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