Many thanks all, your responses have been very helpful. Cheers
On Wed, May 6, 2015 at 2:14 PM, ayan guha wrote:
>
> https://spark.apache.org/docs/latest/streaming-programming-guide.html#fault-tolerance-semantics
>
>
> On Wed, May 6, 2015 at 10:09 PM, James King wrote:
>
>> In the O'reilly book
https://spark.apache.org/docs/latest/streaming-programming-guide.html#fault-tolerance-semantics
On Wed, May 6, 2015 at 10:09 PM, James King wrote:
> In the O'reilly book Learning Spark Chapter 10 section 24/7 Operation
>
> It talks about 'Receiver Fault Tolerance'
>
> I'm unsure of what a Recei
Incorrect. The receiver runs in an executor just like a any other tasks. In
the cluster mode, the driver runs in a worker, however it launches
executors in OTHER workers in the cluster. Its those executors running in
other workers that run tasks, and also the receivers.
On Wed, May 6, 2015 at 5:09
This is about Kafka Receiver IF you are using Spark Streaming
Ps: that book is now behind the curve in a quite a few areas since the release
of 1.3.1 – read the documentation and forums
From: James King [mailto:jakwebin...@gmail.com]
Sent: Wednesday, May 6, 2015 1:09 PM
To: user
Subjec
