Re: Spark SQL vs map reduce tableInputOutput

Please take a look at https://issues.apache.org/jira/browse/PHOENIX-1815 On Mon, Apr 20, 2015 at 10:11 AM, 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

Re: Spark SQL vs map reduce tableInputOutput

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

Spark SQL vs map reduce tableInputOutput

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

Re: Spark SQL vs map reduce tableInputOutput

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

Re: Spark SQL vs map reduce tableInputOutput

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