Just took a quick look at the overview here<http://phoenix.incubator.apache.org/> and the quick start guide here<http://phoenix.incubator.apache.org/Phoenix-in-15-minutes-or-less.html> .
It looks like Apache Phoenix aims to provide flexible SQL access to data, both for transactional and analytic purposes, and at interactive speeds. Nick On Tue, Apr 8, 2014 at 12:38 PM, Bin Wang <binwang...@gmail.com> wrote: > First, I have not tried it myself. However, what I have heard it has some > basic SQL features so you can query you HBase table like query content on > HDFS using Hive. > So it is not "query a simple column", I believe you can do joins and other > SQL queries. Maybe you can wrap up an EMR cluster with Hbase preconfigured > and give it a try. > > Sorry cannot provide more detailed explanation and help. > > > > On Tue, Apr 8, 2014 at 10:17 AM, Flavio Pompermaier > <pomperma...@okkam.it>wrote: > >> Thanks for the quick reply Bin. Phenix is something I'm going to try for >> sure but is seems somehow useless if I can use Spark. >> Probably, as you said, since Phoenix use a dedicated data structure >> within each HBase Table has a more effective memory usage but if I need to >> deserialize data stored in a HBase cell I still have to read in memory that >> object and thus I need Spark. From what I understood Phoenix is good if I >> have to query a simple column of HBase but things get really complicated if >> I have to add an index for each column in my table and I store complex >> object within the cells. Is it correct? >> >> Best, >> Flavio >> >> >> >> >> On Tue, Apr 8, 2014 at 6:05 PM, Bin Wang <binwang...@gmail.com> wrote: >> >>> Hi Flavio, >>> >>> I happened to attend, actually attending the 2014 Apache Conf, I heard a >>> project called "Apache Phoenix", which fully leverage HBase and suppose to >>> be 1000x faster than Hive. And it is not memory bounded, in which case sets >>> up a limit for Spark. It is still in the incubating group and the "stats" >>> functions spark has already implemented are still on the roadmap. I am not >>> sure whether it will be good but might be something interesting to check >>> out. >>> >>> /usr/bin >>> >>> >>> On Tue, Apr 8, 2014 at 9:57 AM, Flavio Pompermaier <pomperma...@okkam.it >>> > wrote: >>> >>>> Hi to everybody, >>>> >>>> in these days I looked a bit at the recent evolution of the big data >>>> stacks and it seems that HBase is somehow fading away in favour of >>>> Spark+HDFS. Am I correct? >>>> Do you think that Spark and HBase should work together or not? >>>> >>>> Best regards, >>>> Flavio >>>> >>> >
