January 2017
Intermediate to advanced
350 pages
7h 8m
English
Content preview from HBase High Performance CookbookBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Working with HDFS
To get the best performance from HBase, it is essential to get optimal performance from Hadoop/HDFS.
There are various parameters we can look at, but we will limit ourselves to make sure we get the benefits.
Multiple disk mount point:
Df.datanode.data.dir -> use all attached disks to data node. Block Side(DFS) =128 MB Local file system buffer Io.file.buffer.size=131072 (128k) Io.sort.factor=50 to 100 Data Node and NameNode conconcurry Dfs.namenode.handler.count(131072) Dfs..datanode,max.transfer.tthread 4096
Give HDFS as many paths as possible to spread the disk I/O around and to increase the capacity of HDFS.
How to do it…
Please open the dfs.block.size section from dfs-site.xml and mapred.min.split.size from mapred.max.split.size ...
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