I think it is because A.join(B) is a shuffle map stage, whose result is stored
temporarily (i'm not sure it's in memeory or in disk)I saw the word "map
output" in the log of my spark application, i think it is the intermediate
result of my application, and according to the log, it is stored
qinwei
From: ajay gargDate: 2014-11-13 14:56To: userSubject: Joined RDDHi,
I have two RDDs A and B which are created from reading file from HDFS.
I have a third RDD C which is created by taking join of A and B. All three
RDDs (A, B and C ) are not cached.
Now if I perform any action on C (let say collect), action is served without
reading any data from the disk.
Since no data is cached in spark how is action on C is served without
reading data from disk.
Thanks
--Ajay
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