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Data management method and Hadoop distributed file system

A distributed file and data management technology, applied in the computer field, can solve problems such as low efficiency, achieve unified access, and improve read/write efficiency.

Active Publication Date: 2019-10-08
ZHEJIANG UNIVIEW TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But the current HDFS only provides unified access to existing data. For clients that need to write, HDFS still has multiple data centers; in addition, to find a file, in the worst case, you need to find all The NameNode node in the data center is relatively inefficient

Method used

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  • Data management method and Hadoop distributed file system
  • Data management method and Hadoop distributed file system
  • Data management method and Hadoop distributed file system

Examples

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no. 1 example

[0039] The embodiment of the present invention provides a Hadoop distributed file system 200, which is applied to the server 100 and used to realize more unified and efficient management of the data center. see figure 2 , is a functional block diagram of the Hadoop distributed file system 200 provided by the embodiment of the present invention. The Hadoop distributed file system 200 includes load balancing nodes 210 , proxy nodes 220 , metadata nodes 230 and data nodes 240 .

[0040] Wherein, the load balancing node 210 is configured to receive a data processing request initiated by a client.

[0041] It should be noted that the data processing request includes, but is not limited to, a write request, a read request, and the like. When the client initiates a write request to the server 100, it indicates that the user wants to write data to the server 100 through the client, which can be understood as new data; when the client initiates a read request to the server 100, it i...

no. 2 example

[0083]The embodiment of the present invention provides a data management method, which is applied to the server 100 and runs on the cluster nodes of the Hadoop distributed file system 200 . It should be noted that the basic principles and technical effects of the data management method provided by this embodiment are the same as those of the above-mentioned embodiments. Corresponding content. see Figure 5 , is a flowchart of a data management method provided by an embodiment of the present invention. This approach to data management includes:

[0084] Step S501: Receive a data processing request initiated by a client through the proxy node 220 .

[0085] see Image 6 , is a specific flowchart of step S501. This step S501 includes:

[0086] Sub-step S5011: Receive the data processing request initiated by the client through the load balancing node 210.

[0087] It should be noted that the data processing request includes, but is not limited to, a write request, a read re...

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Abstract

The embodiment of the invention provides a data management method and a Hadoop distributed file system, and relates to the technical field of computers. According to the data management method and theHadoop distributed file system, a data processing request initiated by a client is received through an agent node; a metadata node corresponding to the data processing request is determined based ona pre-established Hash model and the data processing request on an agent node, the data processing request is sent to the metadata node through the agent node, and finally the metadata node respondsto the data processing request to feed back a message to the client. Through unifying the command space of the metadata nodes, a plurality of independent metadata nodes are unified into an integral naming space, and unified access to data is realized. In addition, metadata nodes corresponding to the data processing request can be quickly queried based on a pre-established Hash model, and the reading / writing efficiency is improved.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a data management method and a Hadoop distributed file system. Background technique [0002] When faced with big data application requirements, when stand-alone performance faces bottlenecks and relational database cluster systems can no longer meet the needs of big data applications, using distributed storage systems to store data and adopting standard user interfaces based on SQL language has become a solution to large-scale structures. An effective way to simplify data retrieval problems. [0003] In the prior art, a Hadoop Distributed File System (Hadoop Distributed File System, HDFS) is usually used to store data files, and the HDFS files and their contents are mapped into a table structure by maintaining a piece of metadata. But the current HDFS only provides unified access to existing data. For clients that need to write, HDFS still has multiple data centers; in additio...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/13G06F16/182
CPCG06F16/137G06F16/182
Inventor 张期莲
Owner ZHEJIANG UNIVIEW TECH CO LTD
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