hbase快速入门之---简介

hbase首页介绍，感觉写的很好，就翻译了一下，8,9,10不是很理解，英语水平有限，望批评指正

Apache  HBase™ is the  Hadoop  database, a distributed, scalable, big data store.

Apache Hbase 是一个 分布式的，可伸缩的，大数据量存储的 hadoop数据库。

Use Apache HBase™ when you need random, realtime read/write access to your Big Data. This project's goal is the hosting of very large tables -- billions of rows X millions of columns -- atop clusters of commodity hardware. Apache HBase is an open-source, distributed, versioned, non-relational database modeled after Google's  Bigtable: A Distributed Storage System for Structured Data  by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, Apache HBase provides Bigtable-like capabilities on top of Hadoop and HDFS.

Features

• Linear and modular scalability.
• Strictly consistent reads and writes.
• Automatic and configurable sharding of tables
• Automatic failover support between RegionServers.
• Convenient base classes for backing Hadoop MapReduce jobs with Apache HBase tables.
• Easy to use Java API for client access.
• Block cache and Bloom Filters for real-time queries.
• Query predicate push down via server side Filters
• Thrift gateway and a REST-ful Web service that supports XML, Protobuf, and binary data encoding options
• Extensible jruby-based (JIRB) shell
• Support for exporting metrics via the Hadoop metrics subsystem to files or Ganglia; or via JMX

特点

1.线性和可调节的伸缩性

2.严格的一致读写

3.自动的和可配置的表分片

4.在regionserver之间支持自动的失败切换

5.提供方便的基础类，支持hadoop的mapreduce使用Apache Hbase的表

6.使用JAVA API开发客户端去访问Hbase很简单

7.对实时查询支持块的缓存和布隆过滤器

8.查询谓词经服务端过滤器向下推送

9.Thrift网关和支持XML的restful Web服务，protobuf（ Protocol Buffers Google的类XML数据描述语言 ）和二进制数据的编码选项

10.可扩展的基于Jruby的外壳

11.支持导出指标经过Hadoop metrics子系统，导出到文件，ganglia，或JMX