Are you asking about Spark Streaming support?
On Sun, Nov 1, 2015 at 4:42 AM, Sisyphuss <zhengwend...@gmail.com> wrote:
> http://dl.acm.org/citation.cfm?id=2228301
>
> On Saturday, October 31, 2015 at 5:18:01 PM UTC+1, Jey Kottalam wrote:
>>
>> Could you ple
Could you please define "streams of RDDs"?
On Sat, Oct 31, 2015 at 12:59 AM, wrote:
> Is there any implementation with streams of RDDs for Julia ?
>
>
> On Monday, April 20, 2015 at 11:54:10 AM UTC-7, wil...@gmail.com wrote:
>>
>> Unfortunately, Spark.jl is an
- or if you
would be able to participate to build these?
-viral
On 23-May-2015, at 7:54 am, Jey Kottalam j...@cs.berkeley.edu wrote:
The core functionality is there, but there's also more to be
implemented to have a complete interface to spark-core:
- distributed I/O
- broadcast vars
Waller truth...@gmail.com wrote:
On Thursday, May 21, 2015 at 4:55:16 PM UTC-4, Jey Kottalam wrote:
Hi Jeff,
they relied on a 3rd party to containerize a Pythonprogram for
transmission
That is due to the pecularities of Python's serialization module than
anything intrinsic to creating
Hi Jeff,
they relied on a 3rd party to containerize a Pythonprogram for transmission
That is due to the pecularities of Python's serialization module than
anything intrinsic to creating a Spark binding. (E.g. Python's pickle
format doesn't have support for serializing code and closures, so
Hi julia-users,
I have the beginnings of a Spark interface for Julia up at
https://github.com/jey/Spock.jl. This implementation follows the design
used in Spark's Python and R bindings. It so far has the core of the Spark
RDD interface implemented, but does not yet implement the additional
Hi Gerry,
You're probably looking for Julia's operator, or possibly the
unsafe_pointer_from_objref method (unlikely). Note that works
different in Julia than in C. The full documentation for calling C and
Fortran code is available at