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Hadoop >> mail # user >> io.file.buffer.size


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io.file.buffer.size
Guys,

I've read that increasing above (default 4kb) number to, say 128kb, might speed things up.

My input is 40mln serialised records coming from RDMS and I noticed that with increased IO my job actually runs a tiny bit slower. Is that possible?

p.s. got two questions:
1. During Sqoop import I see that two additional files are generated in the HDFS folder, namely
.../_log/history/...conf.xml
.../_log/history/...sqoop_generated_class.jar
Is there a way to redirect these files to a different directory? I cannot find an answer.

2. I run multiple reducers and each generate each own output. If I was to merge all the output, will running either of the below commands be recommended?

hadoop dfs -getmerge <output/*> <localdst>
or
hadoop dfs -cat output/* > output_All
hadoop dfs -get output_All <localdst>

Thanks,
AK
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NEW: Monitor These Apps!
elasticsearch, apache solr, apache hbase, hadoop, redis, casssandra, amazon cloudwatch, mysql, memcached, apache kafka, apache zookeeper, apache storm, ubuntu, centOS, red hat, debian, puppet labs, java, senseiDB