Re: Re: spark sql cli query results written to file ?

2015-12-03 Thread fightf...@163.com
Well , Sorry for late reponse and thanks a lot for pointing out the clue. fightf...@163.com From: Akhil Das Date: 2015-12-03 14:50 To: Sahil Sareen CC: fightf...@163.com; user Subject: Re: spark sql cli query results written to file ? Oops 3 mins late. :) Thanks Best Regards On Thu, Dec 3

Re: spark sql cli query results written to file ?

2015-12-02 Thread Akhil Das
Something like this? val df = sqlContext.read.load("examples/src/main/resources/users.parquet")df.select("name", "favorite_color").write.save("namesAndFavColors.parquet") It will save the name, favorite_color columns to a parquet file. You can read more information over here http://spark.apache

Re: spark sql cli query results written to file ?

2015-12-02 Thread Sahil Sareen
Did you see: http://spark.apache.org/docs/latest/sql-programming-guide.html -Sahil On Thu, Dec 3, 2015 at 11:35 AM, fightf...@163.com wrote: > HI, > How could I save the spark sql cli running queries results and write the > results to some local file ? > Is there any available command ? > > Tha

spark sql cli query results written to file ?

2015-12-02 Thread fightf...@163.com
HI, How could I save the spark sql cli running queries results and write the results to some local file ? Is there any available command ? Thanks, Sun. fightf...@163.com

Re: spark sql cli query results written to file ?

2015-12-02 Thread Sahil Sareen
Yeah, Thats the example from the link I just posted. -Sahil On Thu, Dec 3, 2015 at 11:41 AM, Akhil Das wrote: > Something like this? > > val df = > sqlContext.read.load("examples/src/main/resources/users.parquet")df.select("name", > "favorite_color").write.save("namesAndFavColors.parquet") >

Re: spark sql cli query results written to file ?

2015-12-02 Thread Akhil Das
Oops 3 mins late. :) Thanks Best Regards On Thu, Dec 3, 2015 at 11:49 AM, Sahil Sareen wrote: > Yeah, Thats the example from the link I just posted. > > -Sahil > > On Thu, Dec 3, 2015 at 11:41 AM, Akhil Das > wrote: > >> Something like this? >> >> val df = >> sqlContext.read.load("examples/sr