I run map/reduce job through streaming, and notice that "local bytes written/read" in my job is always many times higher than the "hdfs bytes"? but if i run the job straight through java, this problem goes away.
Why does this happen? Is it because jvm memory is not enough and use the disk for cache? or I didn't configure the hadoop right? how can i configure? By the way, my hadoop version is 0.17.1. Thanks xiao xinyan
