Agree about SGA. I will try to get it executed next week. D.
On Sat, Jan 3, 2015 at 3:02 AM, Branko Čibej <[email protected]> wrote: > On 02.01.2015 19:49, Konstantin Boudnik wrote: > > +1 on what Brane said. Considering that the Accelerator code is already > in the > > open and licensed under ASL2.0 I don't see any issues with just adding > it to > > the existing Ignite code base. > > An SGA must still be executed since that's what allows us to change the > copyright, along with relicensing (which, as you say, is not needed in > this case). > > -- Brane > > > > As far as the PPMC is Ok with handling the > > additional dev. load. > > > > With my Apache Bigtop hat on, I'd say it'd be even better as we'll be > able to > > use the Apache Incubator project instead of the current github source. > > > > Cos > > > > On Tue, Dec 30, 2014 at 10:56AM, Dmitriy Setrakyan wrote: > >> Hi, > >> > >> I want to open up a discussion about adding GridGain Hadoop Accelerator > as > >> a feature of Apache Ignite. > >> > >> As some of you may know, Hadoop Accelerator is now offered as a part of > >> GridGain open source edition. It is built on top of Ignite In-Memory > Data > >> Fabric technology and provides plug-n-play acceleration for Hadoop. It > also > >> recently has been integrated with Apache BigTop. > >> > >> The acceleration is achieved by providing the following Hadoop > components > >> in memory: > >> > >> - IgniteFS, in-memory Hadoop-compliant file system, which natively > plugs > >> into Hadoop, and is built on top of Ignite data grid. > >> - Ignite MapReduce, very fast Hadoop MapReduce implementation, which > is > >> built on top of Ignite computation framework. > >> > >> I anticipate that some questions will arise around how Ignite Hadoop > >> Accelerator is different from Apache Spark. The reality is that they are > >> very different. > >> > >> One of the main differences is that Ignite Hadoop Accelerator will offer > >> acceleration of the existing Hadoop MapReduce computations that run > >> natively on Hadoop, while Spark essentially takes you off of Hadoop > >> MapReduce into its own DSL. Additionally, because of the fast MapReduce > >> implementation, Ignite Hadoop Accelerator will also accelerate native > Hive > >> queries, while Spark provides its own SQL engine. > >> > >> More information about Hadoop Accelerator can be found here: > >> http://hadoop.gridgain.org/ > >> > >> Please let me know your thoughts. > >
