Is there a way to load a large file from HDFS faster into Spark

[Soumya Simanta]

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