Ayan, there was a talk in spark summit https://spark-summit.org/2015/events/Sqoop-on-Spark-for-Data-Ingestion/ Apparently they had a lot of problems and the project seems abandoned.
If you just have to do simple ingestion of a full table or a simple query, just use Sqoop as suggested by Mich, but if your use case requires further transformation of the data, I'd suggest you try Spark connecting to Oracle using JDBC and then having the data as a Dataframe. Regards. 2016-04-06 6:59 GMT+01:00 ayan guha <guha.a...@gmail.com>: > Thanks guys for feedback. > > On Wed, Apr 6, 2016 at 3:44 PM, Jörn Franke <jornfra...@gmail.com> wrote: > >> I do not think you can be more resource efficient. In the end you have to >> store the data anyway on HDFS . You have a lot of development effort for >> doing something like sqoop. Especially with error handling. >> You may create a ticket with the Sqoop guys to support Spark as an >> execution engine and maybe it is less effort to plug it in there. >> Maybe if your cluster is loaded then you may want to add more machines or >> improve the existing programs. >> >> On 06 Apr 2016, at 07:33, ayan guha <guha.a...@gmail.com> wrote: >> >> One of the reason in my mind is to avoid Map-Reduce application >> completely during ingestion, if possible. Also, I can then use Spark stand >> alone cluster to ingest, even if my hadoop cluster is heavily loaded. What >> you guys think? >> >> On Wed, Apr 6, 2016 at 3:13 PM, Jörn Franke <jornfra...@gmail.com> wrote: >> >>> Why do you want to reimplement something which is already there? >>> >>> On 06 Apr 2016, at 06:47, ayan guha <guha.a...@gmail.com> wrote: >>> >>> Hi >>> >>> Thanks for reply. My use case is query ~40 tables from Oracle (using >>> index and incremental only) and add data to existing Hive tables. Also, it >>> would be good to have an option to create Hive table, driven by job >>> specific configuration. >>> >>> What do you think? >>> >>> Best >>> Ayan >>> >>> On Wed, Apr 6, 2016 at 2:30 PM, Takeshi Yamamuro <linguin....@gmail.com> >>> wrote: >>> >>>> Hi, >>>> >>>> It depends on your use case using sqoop. >>>> What's it like? >>>> >>>> // maropu >>>> >>>> On Wed, Apr 6, 2016 at 1:26 PM, ayan guha <guha.a...@gmail.com> wrote: >>>> >>>>> Hi All >>>>> >>>>> Asking opinion: is it possible/advisable to use spark to replace what >>>>> sqoop does? Any existing project done in similar lines? >>>>> >>>>> -- >>>>> Best Regards, >>>>> Ayan Guha >>>>> >>>> >>>> >>>> >>>> -- >>>> --- >>>> Takeshi Yamamuro >>>> >>> >>> >>> >>> -- >>> Best Regards, >>> Ayan Guha >>> >>> >> >> >> -- >> Best Regards, >> Ayan Guha >> >> > > > -- > Best Regards, > Ayan Guha >
