Data processing system and method based on distributed caching
A data processing system and distributed cache technology, applied in the field of data processing, can solve problems such as reflecting data access characteristics, no good solutions, computing resource allocation strategies, and real-time load interference, so as to improve execution efficiency and reduce data transmission The effect of increasing data hit rate
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[0050] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.
[0051] There are generally three important roles in HDFS: namenode, datanode, and client. Namenode can be regarded as the manager of the distributed file system. It is mainly responsible for managing the namespace of the file system, cluster configuration information, and replication of stored data blocks. Namenode will store the metadata (Meta-data) of the file system in the memory, which mainly includes file information, the data block information corresponding to each file, and the location information of the data block in the namenode. Datanode is the basic unit of file storage. It stores data blocks in the local file system, saves the metadata information of the data blocks, and periodically sends the informati...
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