Data speedup query method based on file system caching

Abstract

The invention relates to an accelerated data query method in a query system, which provides an accelerated data query method based on a cache of document system according to the features of unchanged saved historical data and frequent query of same data. The invention saves the historical query data and takes it as the cache data for query, so as to accelerate the query. Upon receiving the query quest from user, the system will first of all turn to the query analyzer; the principal function of the query analyzer is to analyze and plan the query condition; then, after passing through a document buffer, the system analyzes whether the data document in the result satisfies the present query need; if not, the query will be carried out in the database and the final result will be fed back to a data processor; then, the data processor will filter and sort the data according to the final query demand and finally feed back the result document to a super stratum application system. Therefore, without increasing the investment on hardware, this query method is able to greatly reduce the occupation of database and system resource, so as to improve the query speed.

Description

1. Technical field [0001] The invention relates to the field of computer application technology and communication technology, in particular to a data acceleration query method in a telecommunication query system. It is suitable for data acceleration query based on file system cache for historical data that does not change after storage and has a large number of repeated queries. 2. Technical Background [0002] With the continuous development of society, enterprises are building more and more supporting systems, and information sharing has become particularly important. Information sharing has increased the number of users visiting the software system, but with the increasing number of users, the amount of data queries will inevitably increase greatly , and the system will become slower and slower, which requires more investment in equipment and software upgrades. The reason for this is that for each query request by the user, the system performs corresponding search, data ...

AI Technical Summary

Problems solved by technology

For this reason, more funds need to be invested in upgrading software and hardware to improve the processing capacity of the system and reduce the waiting time of users, and the speed-up for large-scale data queries is also very limited.

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