This is a sort of your mileage varies type question.

In a classic Hadoop cluster, one has data locality when each node includes
the Spark libraries and HDFS data. this helps certain queries like
interactive BI.

However running Spark over remote storage say Isilon scaled out NAS instead
of LOCAL HDFS becomes problematic. The full-scan Spark needs to do will
take much longer when it is done over the network (access the remote Isilon
storage) instead of local I/O request to HDFS.

Has anyone done some comparative studies on this?


Dr Mich Talebzadeh

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