I think recommended use will be creating a dataframe using hbase as source. Then you can run any SQL on that DF. In 1.2 you can create a base rdd and then apply schema in the same manner On 21 Apr 2015 03:12, "Jeetendra Gangele" <gangele...@gmail.com> wrote:
> Thanks for reply. > > Does phoenix using inside Spark will be useful? > > what is the best way to bring data from Hbase into Spark in terms > performance of application? > > Regards > Jeetendra > > On 20 April 2015 at 20:49, Ted Yu <yuzhih...@gmail.com> wrote: > >> To my knowledge, Spark SQL currently doesn't provide range scan >> capability against hbase. >> >> Cheers >> >> >> >> > On Apr 20, 2015, at 7:54 AM, Jeetendra Gangele <gangele...@gmail.com> >> wrote: >> > >> > HI All, >> > >> > I am Querying Hbase and combining result and using in my spake job. >> > I am querying hbase using Hbase client api inside my spark job. >> > can anybody suggest me will Spark SQl will be fast enough and provide >> range of queries? >> > >> > Regards >> > Jeetendra >> > >> > > > > >
