scaling of one regionserver, improving memory and cpu usage
-----------------------------------------------------------
Key: HBASE-745
URL: https://issues.apache.org/jira/browse/HBASE-745
Project: Hadoop HBase
Issue Type: Improvement
Components: regionserver
Affects Versions: 0.1.3
Environment: hadoop 0.17.1
Reporter: LN
Priority: Minor
after weeks testing hbase 0.1.3 and hadoop(0.16.4, 0.17.1), i found there are
many works to do, before a particular regionserver can handle data about 100G,
or even more. i'd share my opions here with stack, and other developers.
first, the easiest way improving scalability of regionserver is upgrading
hardware, use 64bit os and 8G memory for the regionserver process, and speed up
disk io.
besides hardware, following are software bottlenecks i found in regionserver:
1. as data increasing, compaction was eating cpu(with io) times, the total
compaction time is basicly linear relative to whole data size, even worse,
sometimes square relavtive to that size.
2. memory and socket connection usage are depends on opened mapfiles, see
HADOOP-2341 and HBASE-24.
will explain above in comments later.
--
This message is automatically generated by JIRA.
-
You can reply to this email to add a comment to the issue online.
