Hi Folks,
Many people know the way that things are going with regards to in-memory
computing being 'the' hot topic on the planet right now (outside of the
world cup).
We have made good strides in Gora to get it to where it is as a top level
project. It has also become aparent to me that something w
Internally, Apache Spark can use Hadoop input format for its
distributed data structure (a.k.a RDD).
So, I guess we could still join the cool kids with Spark via our input
format implementation.
However, I could think of other improvements that could be useful
(apology to Lewis if I hijacked his d
2014-07-09 11:10 GMT+02:00 Henry Saputra :
> Internally, Apache Spark can use Hadoop input format for its
> distributed data structure (a.k.a RDD).
> So, I guess we could still join the cool kids with Spark via our input
> format implementation.
>
Cool Henry! I didn't know about we could use Hado
Hi Henry,
On Wed, Jul 9, 2014 at 5:10 AM, wrote:
>
> However, I could think of other improvements that could be useful
> (apology to Lewis if I hijacked his discussion):
> 1. Pluggable serialization mechanism to allow other like Thrift or
> Protocol Buffer instead of just Avro.
> 2. Directly wor
For pluggable serialization, I think if there is not JIRA opened I
could open one as reccomended by Lewis.
As for low hanging fruit, I am currently not sure.
Maybe we could add Gora store manager to Spark to allow read and
persist from different NoSQL databases.
- Henry
On Wed, Jul 9, 2014 at 2:
HI Lewis, yeah I could file issues so we could track them for next releases
Thanks for starting discussion about new innovation with Gora.
+1
- Henry
On Wed, Jul 9, 2014 at 3:51 AM, Lewis John Mcgibbney
wrote:
> Hi Henry,
>
> On Wed, Jul 9, 2014 at 5:10 AM, wrote:
>
>>
>> However, I could thi
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