Hadoop-based electric power system accident recall method
A hadoop cluster and power system technology, applied in the field of Hadoop-based power system accident recall, can solve the problems of large number of files, large single file size, poor flexibility, etc., and achieve flexible and convenient deployment, reliable record files, and data reading speed fast effect
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[0026] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:
[0027] like figure 1 Shown is the system architecture diagram, as follows:
[0028] (1) Establish a Hadoop cluster. HDFS is used to store very large files. An HDFS is composed of a name node (Namenode) as the primary node, a standby name node (Namenode) as the copy, and multiple data nodes (Datanodes). Namenode is the central server, which is responsible for managing the name space of the file system and client access to files, managing HDFS metadata, and ensuring the security of metadata in HDFS. Datanodes are used to store blocks and provide an access interface.
[0029] (2), Namenode, Datanodes, make full use of existing computer hardware resources, and deploy them on the servers and workstations of the scheduling automation system according to business needs.
[0030] (3) The Hadoop client is deployed on Namenode and Datanodes according to...
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