Does sqrrl provide an example framework to play around with?
On Fri, May 3, 2013 at 2:20 PM, Adam Fuchs <[EMAIL PROTECTED]> wrote:
> Hey Drew,
> This could be a very broad question, so I'll give a partial answer and
> encourage you to come back for more details.
> Impala is a mechanism that sits on top of HBase or HDFS that is design to
> filter and process large quantities of data. People generally like Impala
> because it supports a subset of SQL and because it is optimized to reduce
> the latency that might be incurred by starting up a job in a bulk
> synchronous processing framework. Instead, it uses a series of daemon
> processes and a custom API to reduce overhead.
> With Accumulo, our approach to low-latency queries is generally to use a
> table structure that incorporates some type of index. With appropriate
> indexing techniques, Accumulo can achieve sub-second query latencies even
> over multi-petabyte sized corpuses. Some of these table designs are
> described in the manual:
> Regarding the SQL piece, Accumulo does not natively support an SQL
> interface. For that you would need to wrap it in a processing framework,
> like Hive (https://issues.apache.org/jira/browse/ACCUMULO-143). To make a
> shameless plug, Sqrrl (www.sqrrl.com) also offers that functionality.
> On Fri, May 3, 2013 at 12:39 PM, Drew Pierce <[EMAIL PROTECTED]> wrote:
> > does anyone have any anecdotal results (nothing formal) for queries to
> > speak to the likes of impala and near low-latency.
> > Sent from my Android
> > Sorry if brief