Thanks a lot!
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st() # unpersist previous version
data=data2
Help and suggestions on this would be greatly
appreciated!
Thanks a lot!
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Net_gist_train.txt",50).map(parseLine).cache()
>> data.count()
>> for i in range(1000):
>> data=data.repartition(50).persist()
>> # below several operations are done on data
>>
>>
>>
s that
>>> I am doing something wrong because as the iterations go the
>>> memory usage
>>> increases, causing the job to spill onto HDFS, which
>
hat am I doing wrong? I tried the following but it doesn't solve
>> the issue:
>>
>> for i in range(1000):
>> data2=data.repartition(50).persist()
>>
Help and suggestions on this would be greatly appreciated!
Thanks a lot!
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rsist()
data2.count() # materialize rdd
data.unpersist() # unpersist previous version
data=data2
Help and suggestions on this would be greatly appreciated! Thanks a lot!
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!
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!
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