Without the second line, it's will much faster: infile = sc.wholeTextFiles(sys.argv[1]) infile.saveAsSequenceFile(sys.argv[2])
On Wed, Oct 29, 2014 at 3:31 AM, Csaba Ragany <rag...@gmail.com> wrote: > Thank you Holden, it works! > > infile = sc.wholeTextFiles(sys.argv[1]) > rdd = sc.parallelize(infile.collect()) > rdd.saveAsSequenceFile(sys.argv[2]) > > Csaba > > > 2014-10-28 17:56 GMT+01:00 Holden Karau <hol...@pigscanfly.ca>: >> >> Hi Csaba, >> >> It sounds like the API you are looking for is sc.wholeTextFiles :) >> >> Cheers, >> >> Holden :) >> >> >> On Tuesday, October 28, 2014, Csaba Ragany <rag...@gmail.com> wrote: >>> >>> Dear Spark Community, >>> >>> Is it possible to convert text files (.log or .txt files) into >>> sequencefiles in Python? >>> >>> Using PySpark I can create a parallelized file with >>> rdd=sc.parallelize([('key1', 1.0)]) and I can save it as a sequencefile with >>> rdd.saveAsSequenceFile(). But how can I put the whole content of my text >>> files into the 'value' of 'key1' ? >>> >>> I want a sequencefile where the keys are the filenames of the text files >>> and the values are their content. >>> >>> Thank you for any help! >>> Csaba >> >> >> >> -- >> Cell : 425-233-8271 > > --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org