+1 on merging this soon.
Going forward, I agree it makes sense to break the RPC module into a
stand-alone module that is not specific to drill. But whether it is better
for it live in the Drill project or in the new Vector project, I am not
sure.
On Sun, Nov 8, 2015 at 6:42 PM, Jacques Nadeau
FYI, the patch also just successfully completed the extended regression
suite.
--
Jacques Nadeau
CTO and Co-Founder, Dremio
On Sun, Nov 8, 2015 at 5:09 PM, Jacques Nadeau wrote:
> Ok guys,
>
> I took the quiet time directly after the release candidate went out to do
> the
Ok guys,
I took the quiet time directly after the release candidate went out to do
the first phase of componentization. You can see my work at [1].
This set of commits has little functional impact. I've also done my best to
avoid package or file renaming, rather keeping things in their same
This sounds like a really good idea to me.
On Mon, Oct 26, 2015 at 2:50 PM, Julien Le Dem wrote:
> +1, looking forward to vectorized Parquet Readers/Writers in Drill.
> Making VV a standalone standard sounds great to me.
>
> On Mon, Oct 26, 2015 at 2:46 PM, Parth Chandra
I was hoping to see this discussion happening sooner :) VVs has helped
Drill representing and moving data around so flexibly that it would not be
hard to prove its usefulness to the community as a standalone library. I am
in support of this proposal.
-Hanifi
On Mon, Oct 26, 2015 at 2:19 PM,
+1. Agree with Hanifi that we probably should have done this sooner :).
Jason and I faced this need when trying to get a stand alone vectorized
parquet reader out of the Drill code last year.
On Mon, Oct 26, 2015 at 2:37 PM, Hanifi Gunes wrote:
> I was hoping to see this
Drillers,
A number of people have approached me recently about the possibility of
collaborating on a shared columnar in-memory representation of data. This
shared representation of data could be operated on efficiently with modern
cpus as well as shared efficiently via shared memory, IPC and
+1, looking forward to vectorized Parquet Readers/Writers in Drill.
Making VV a standalone standard sounds great to me.
On Mon, Oct 26, 2015 at 2:46 PM, Parth Chandra wrote:
> +1. Agree with Hanifi that we probably should have done this sooner :).
> Jason and I faced this
+100
Thanks for spearheading this, Jacques.
They say memory is the new disk. So, it’s no longer sufficient to use the same
on-disk data format if we want our tools to interoperate. The idea of engines
interoperating by reading the same in-memory temporary tables, and passing data
from one
hi all,
I am excited about this initiative and I personally am looking forward
to seeing a standard in-memory columnar representation made available
to data science languages like Python, R, and Julia, and it's also the
ideal place to build out a reference vectorized Parquet implementation
for
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