Nice blog post Martin!
On Tue, Nov 24, 2015 at 3:14 PM, Vasiliki Kalavri wrote:
> Great, thanks for sharing Martin!
>
> On 24 November 2015 at 15:00, Martin Junghanns
> wrote:
>
>> Hi,
>>
>> I wrote a short blog post about the ldbc-flink tool including a short
>> overview of Flink and a Gelly e
Great, thanks for sharing Martin!
On 24 November 2015 at 15:00, Martin Junghanns
wrote:
> Hi,
>
> I wrote a short blog post about the ldbc-flink tool including a short
> overview of Flink and a Gelly example.
>
> http://ldbcouncil.org/blog/ldbc-and-apache-flink
>
> Best,
> Martin
>
> On 06.10.20
Hi,
I wrote a short blog post about the ldbc-flink tool including a short
overview of Flink and a Gelly example.
http://ldbcouncil.org/blog/ldbc-and-apache-flink
Best,
Martin
On 06.10.2015 11:00, Martin Junghanns wrote:
> Hi Vasia,
>
> No problem. Sure, Gelly is just a map() call away :)
>
>
Hi Vasia,
No problem. Sure, Gelly is just a map() call away :)
Best,
Martin
On 06.10.2015 10:53, Vasiliki Kalavri wrote:
> Hi Martin,
>
> thanks a lot for sharing! This is a very useful tool.
> I only had a quick look, but if we merge label and payload inside a Tuple2,
> then it should also be
Hi Martin,
thanks a lot for sharing! This is a very useful tool.
I only had a quick look, but if we merge label and payload inside a Tuple2,
then it should also be Gelly-compatible :)
Cheers,
Vasia.
On 6 October 2015 at 10:03, Martin Junghanns
wrote:
> Hi all,
>
> For our benchmarks with Flink
Hi all,
For our benchmarks with Flink, we are using a data generator provided by
the LDBC project (Linked Data Benchmark Council) [1][2]. The generator
uses MapReduce to create directed, labeled, attributed graphs that mimic
properties of real online social networks (e.g, degree distribution,
