.gz files are not splittable hence harder to process. Easiest is to move to a splittable compression like lzo and break file into multiple blocks to be read and for subsequent processing. On 11 May 2014 09:01, "Soumya Simanta" <soumya.sima...@gmail.com> wrote:
> > > I've a Spark cluster with 3 worker nodes. > > > - *Workers:* 3 > - *Cores:* 48 Total, 48 Used > - *Memory:* 469.8 GB Total, 72.0 GB Used > > I want a process a single file compressed (*.gz) on HDFS. The file is > 1.5GB compressed and 11GB uncompressed. > When I try to read the compressed file from HDFS it takes a while (4-5 > minutes) load it into an RDD. If I use the .cache operation it takes even > longer. Is there a way to make loading of the RDD from HDFS faster ? > > Thanks > -Soumya > > >
