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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Using the filesystem
HBase depends on the Hadoop Distributed File System (HDFS).
HDFS fundamentally is a distributed file system, which relies on following core principles:
Getting ready
The following are the benefits of using HDFS:
- It's designed to work as a fault-tolerant system and is rack aware.
- It works on the low-cost commodity hardware.
- HDFS relaxes core system POSIX requirements to facilitate streaming access to the underlying OS access of file system data.
- It's designed to write once and read many times. It also supports parallel reading and processing the data (read, write, and append). It doesn't support random writes of data.
- It's designed to scale at a very large level, which means file size like petabyte of data.
- It works with minimum data ...
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