Does sqrrl provide an example framework to play around with?
On Fri, May 3, 2013 at 2:20 PM, Adam Fuchs <afu...@apache.org> 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: > http://accumulo.apache.org/1.4/user_manual/Table_Design.html > > 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. > > Cheers, > Adam > > > > On Fri, May 3, 2013 at 12:39 PM, Drew Pierce <drewpie...@live.com> 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 > > > > >
