Is it fair to say that Storm stream processing is completely in memory, whereas
spark streaming would take a disk hit because of how shuffle works?
Does spark streaming try to avoid disk usage out of the box?
-Abhishek-
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To
Thanks TD - appreciate the response !
On Jul 21, 2015, at 1:54 PM, Tathagata Das t...@databricks.com wrote:
Most shuffle files are really kept around in the OS's buffer/disk cache, so
it is still pretty much in memory. If you are concerned about performance,
you have to do a holistic
Most shuffle files are really kept around in the OS's buffer/disk cache, so
it is still pretty much in memory. If you are concerned about performance,
you have to do a holistic comparison for end-to-end performance. You could
take a look at this.