Yes, The use case would be, Have spark in a service (I didnt invertigate this yet), through api calls of this service we perform some aggregations over data in SQL, We are already doing this with an internal development
Nothing complicated, for instance, a table with Product, Product Family, cost, price, etc. Columns like Dimension and Measures, I want to Spark for query that table to perform a kind of rollup, with cost as Measure and Prodcut, Product Family as Dimension Only 3 columns, it takes like 20s to perform that query and the aggregation, the query directly to the database with a grouping at the columns takes like 1s regards On Tue, Dec 1, 2015 at 5:38 PM, Jörn Franke <jornfra...@gmail.com> wrote: > can you elaborate more on the use case? > > > On 01 Dec 2015, at 20:51, Andrés Ivaldi <iaiva...@gmail.com> wrote: > > > > Hi, > > > > I'd like to use spark to perform some transformations over data stored > inSQL, but I need low Latency, I'm doing some test and I run into spark > context creation and data query over SQL takes too long time. > > > > Any idea for speed up the process? > > > > regards. > > > > -- > > Ing. Ivaldi Andres > -- Ing. Ivaldi Andres
