This blogger will briefly introduce the relevant knowledge of Hbase.
1.1 What is hbase
HBASE is a highly reliable, high-performance, column-oriented, and scalable distributed storage system. Using HBASE technology, a large-scale structured storage cluster can be built on cheap PC Servers.
The goal of HBASE is to store and process large data, more specifically, to process large data consisting of thousands of rows and columns using only common hardware configurations.
HBASE is an open source implementation of Google Bigtable, but there are many differences. For example: Google Bigtable uses GFS as its file storage system, HBASE uses Hadoop HDFS as its file storage system; Google runs MAPREDUCE to process massive data in Bigtable, HBASE also uses Hadoop MapReduce to process massive data in HBASE; Google Bigtable uses Chubby As a collaborative service, HBASE uses Zookeeper as a counterpart.
1.2 Comparison with traditional databases
1. Problems encountered by traditional databases: 1
) When the amount of data is large, it cannot be stored . 2
) There is no good backup mechanism.
3) When the data reaches a certain amount, it starts slowly. Expansion, as the amount of data increases, it can be supported by node expansion 2) The data is stored on hdfs, and the backup mechanism is sound 3) Coordinated by zookeeper to find data and access speed blocks
1.3 Roles in the hbase cluster.
1. One or more master nodes, Hmaster
2. Multiple slave nodes, HregionServer
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