If all you want to do is to load data into Hive, you don't need to use Spark.
For subsequent query performance you would want to convert to ORC or Parquet when loading into Hive. Regards Sab On 16-Dec-2015 7:34 am, "Divya Gehlot" <divya.htco...@gmail.com> wrote: > Hi, > I am new bee to Spark and I am exploring option and pros and cons which > one will work best in spark and hive context.My dataset inputs are CSV > files, using spark to process the my data and saving it in hive using > hivecontext > > 1) Process the CSV file using spark-csv package and create temptable and > store the data in hive using hive context. > 2) Process the file as normal text file in sqlcontext ,register its as > temptable in sqlcontext and store it as ORC file and read that ORC file in > hive context and store it in hive. > > Is there any other best options apart from mentioned above. > Would really appreciate the inputs. > Thanks in advance. > > Thanks, > Regards, > Divya >
