Well hidden.
I added now a link at the menu of http://data-artisans.com/. This material
is provided for free by data Artisans but they are not part of the official
Apache Flink project.
On Thu, Sep 3, 2015 at 2:20 PM, Stefan Winterstein <
stefan.winterst...@dfki.de> wrote:
>
> > Answering to mys
> Answering to myself, I have found some nice training material at
> http://dataartisans.github.io/flink-training.
Excellent resources! Somehow, I managed not to stumble over them by
myself - either I was blind, or they are well hidden... :)
Best,
-Stefan
Hi Robert and Jay,
Thanks for your answers. The petstore jobs could indeed be used as a roseta
code for Flink and Spark.
Regarding the memory requirements, those are very good news to me, just 2GB
of RAM is certainly a modest amount of memory, you can use even some Single
Board Computers for that
Hi Kostas,
Thanks a lot for your answer. It's nice to know there are more training
videos on their way, they will be on my watch list. I guess you'll be using
the data Artisans channel for the new videos too.
Greetings,
Juan
2015-09-02 14:30 GMT+02:00 Kostas Tzoumas :
> Hi Juan,
>
> Flink is
@Jay: I've looked into your code, but I was not able to reproduce the
issue.
I'll start a new discussion thread on the user@flink list for the
Flink-BigPetStore discussion. I don't want to take over Juan's
hardware-requirements discussion ;)
On Wed, Sep 2, 2015 at 3:01 PM, Jay Vyas
wrote:
> Jus
Just running the main class is sufficient
> On Sep 2, 2015, at 8:59 AM, Robert Metzger wrote:
>
> Hey jay,
>
> How can I reproduce the error?
>
>> On Wed, Sep 2, 2015 at 2:56 PM, jay vyas wrote:
>> We're also working on a bigpetstore implementation of flink which will help
>> onboard spark/m
Hey jay,
How can I reproduce the error?
On Wed, Sep 2, 2015 at 2:56 PM, jay vyas
wrote:
> We're also working on a bigpetstore implementation of flink which will
> help onboard spark/mapreduce folks.
>
> I have prototypical code here that runs a simple job in memory,
> contributions welcome,
>
>
We're also working on a bigpetstore implementation of flink which will help
onboard spark/mapreduce folks.
I have prototypical code here that runs a simple job in memory,
contributions welcome,
right now there is a serialization error
https://github.com/bigpetstore/bigpetstore-flink .
On Wed, Se
I have actually run Flink nodes with 50 MB of memory and processed multiple
gigabytes, but that is truely a toy setup for experimentation.
As Robert said, a Mini-Cluster with two local workers (each around 300-400
MB memory) plus a master node (200-300 MB) gives you 1 GB of total needed
memory and
Hi Juan,
I think the recommendations in the Spark guide are quite good, and are
similar to what I would recommend for Flink as well.
Depending on the workloads you are interested to run, you can certainly use
Flink with less than 8 GB per machine. I think you can start Flink
TaskManagers with 500
Hi Juan,
Flink is quite nimble with hardware requirements; people have run it in
old-ish laptops and also the largest instances available in cloud
providers. I will let others chime in with more details.
I am not aware of something along the lines of a cheatsheet that you
mention. If you actually
Answering to myself, I have found some nice training material at
http://dataartisans.github.io/flink-training. There are even videos at
youtube for some of the slides
- http://dataartisans.github.io/flink-training/overview/intro.html
https://www.youtube.com/watch?v=XgC6c4Wiqvs
- http://da
Hi list,
I'm new to Flink, and I find this project very interesting. I have
experience with Apache Spark, and for I've seen so far I find that Flink
provides an API at a similar abstraction level but based on single record
processing instead of batch processing. I've read in Quora that Flink
exten
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