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This article is about what kind of database hbase refers to. The editor thinks it is very practical, so share it with you as a reference and follow the editor to have a look.

Hbase is a distributed storage system with high reliability, high performance, column-oriented and scalable type. Large-scale structured storage cluster can be built on cheap PC Server by using HBase technology.

This article operating environment: windows7 system, Dell G3 computer.

HBase is a distributed, column-oriented open source database. This technology comes from the Google paper "Bigtable: a distributed Storage system for structured data" written by Fay Chang. Just as Bigtable takes advantage of the distributed data storage provided by the Google File system (File System), HBase provides Bigtable-like capabilities on top of Hadoop. HBase is a subproject of Apache's Hadoop project. Different from the general relational database, HBase is a database suitable for unstructured data storage. Another difference is that HBase is column-based rather than row-based.

Structure introduction

HBase-Hadoop Database is a highly reliable, high-performance, column-oriented and scalable distributed storage system. Large-scale structured storage clusters can be built on cheap PC Server by using HBase technology.

Different from commercial big data products such as FUJITSU Cliq, HBase is an open source implementation of Google Bigtable, similar to Google Bigtable uses GFS as its file storage system, HBase uses Hadoop HDFS as its file storage system; Google runs MapReduce to deal with massive data in Bigtable, HBase also uses Hadoop MapReduce to deal with massive data in HBase; Google Bigtable uses Chubby as a collaborative service and HBase uses Zookeeper as its counterpart.

The figure above depicts the tiered systems in Hadoop EcoSystem. Among them, HBase is located in the structured storage layer, Hadoop HDFS provides high-reliability underlying storage support for HBase, Hadoop MapReduce provides high-performance computing power for HBase, and Zookeeper provides stable service and failover mechanism for HBase.

In addition, Pig and Hive also provide high-level language support for HBase, which makes it very easy to process data statistics on HBase. Sqoop provides convenient RDBMS data import function for HBase, which makes it very convenient to migrate traditional database data to HBase.

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