Hi,

I am trying to run the example BinaryClassification
(org.apache.spark.examples.mllib.BinaryClassification) on a 202G file. I am
constantly getting the messages looks like below, it is normal or I am
missing something.

14/07/12 09:49:04 WARN BlockManager: Block rdd_4_196 could not be dropped
from memory as it does not exist
14/07/12 09:49:04 WARN BlockManager: Putting block rdd_4_196 failed
14/07/12 09:49:05 WARN BlockManager: Block rdd_4_201 could not be dropped
from memory as it does not exist
14/07/12 09:49:05 WARN BlockManager: Putting block rdd_4_201 failed
14/07/12 09:49:05 WARN BlockManager: Block rdd_4_202 could not be dropped
from memory as it does not exist
14/07/12 09:49:05 WARN BlockManager: Putting block rdd_4_202 failed
14/07/12 09:49:05 WARN BlockManager: Block rdd_4_198 could not be dropped
from memory as it does not exist
14/07/12 09:49:05 WARN BlockManager: Putting block rdd_4_198 failed
14/07/12 09:49:05 WARN BlockManager: Block rdd_4_199 could not be dropped
from memory as it does not exist
14/07/12 09:49:05 WARN BlockManager: Putting block rdd_4_199 failed
14/07/12 09:49:05 WARN BlockManager: Block rdd_4_204 could not be dropped
from memory as it does not exist
14/07/12 09:49:05 WARN BlockManager: Putting block rdd_4_204 failed
14/07/12 09:49:06 WARN BlockManager: Block rdd_4_203 could not be dropped
from memory as it does not exist
14/07/12 09:49:06 WARN BlockManager: Putting block rdd_4_203 failed
14/07/12 09:49:07 WARN BlockManager: Block rdd_4_205 could not be dropped
from memory as it does not exist
14/07/12 09:49:07 WARN BlockManager: Putting block rdd_4_205 failed

Some info:
8 node cluster with 28G RAM per node, I configure 25G memory for spark. (So
this does not seem to be fit in memory).




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