Sorry to bother. For my MapReduce framework, I split a scan into several
sub-scan of one region, however, I still got many rack-only MAP tasks rather
than data-local MAP. Is this the problem of mapred.max.split.size setting
because of hdfs defaul 64 mb block size? Or I need to use some other
taskSc
Hi,
In default region split policy, it first finds largest stores, then finds
largest store files, and finally get split point (midkey) of the largest
store file. Is there anyway to efficiently get all row-keys of a store
files? I tried to use ResultScanner with setting start/end row key, but I
fo
