A chr file management method, system and computer-readable storage medium

Abstract

The invention discloses a CHR file management method: storage management: responding to a CHR file import request, receiving the CHR file; importing the received CHR file into the UEID memory database and detecting the CHR file in the UEID memory database in real time during the import process Whether the time point exceeds the preset time period, if so, delete the CHR file before the time point of the CHR file; import the received CHR file into the UEID file database, and write it into MDFS; update the UEID disk corresponding to the UEID memory database Snapshot file; query management: respond to the CHR file query request, and judge whether the CHR file in the query request is in the UEID memory database; if so, query the corresponding CHR file in the UEID memory database and return the query result; if not, then in MDFS Query the corresponding CHR file and return the query result. The invention has low requirements on the hardware environment, low requirements on IT technical capabilities and fast construction, and can manage data volumes of more than 10 billion records at TB level.

Description

technical field [0001] The present invention relates to the field of big data analysis, in particular to a CHR file management method, system and computer-readable storage medium. Background technique [0002] At present, after the wireless network is built, in order to understand the network quality and provide some basis for network optimization, and to locate some network operation problems, it is necessary to record the detailed information of each call. By analyzing the CHR (Call History Record, call history record) can be Find the probability and cause of abnormal call sending, for example, you can find the number of the cell with poor wireless signal coverage, the number of a single board that causes most calls to fail, and so on. [0003] The data volume of CHR data is huge and very complex, and the optimal management of CHR data can provide great convenience for CHR analysis. However, although commonly used big data processing platforms such as Hadoop / Teladata can ...

AI Technical Summary

Problems solved by technology

However, although commonly used big data processing platforms such as Hadoop / Teladata can also process CHR data, such systems usually have large investment, high technical threshold, long construction period, and unsatisfactory return on investment, especially for small and medium-sized enterprises. Due to the limitations of capacity and economic capacity, it is difficult to apply these platforms to solve their own big data needs

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