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Large data query method and system

A query system and query method technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problems of slow response time, high workload and implementation complexity, unusable database, etc., and achieve the goal of ensuring efficiency Effect

Inactive Publication Date: 2015-07-01
INSPUR GROUP CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the face of these big data query needs, the query performance and efficiency are the first to bear the brunt. In the case of fixed conditions such as server hardware and database configuration, if the traditional query method is used, the query efficiency will increase as the amount of data continues to increase. With continuous reduction, the response time of user queries will become slower and slower, and even the database may become unusable due to queries
Although it is possible to consider introducing a search engine to realize the query operation of massive data, since the search engine cannot effectively understand the business data, it is difficult to introduce a search engine to realize the rapid analysis and query of the business data of a specific industry, and the workload and implementation are complicated. too high

Method used

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Examples

Experimental program
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Effect test

Embodiment 1

[0026] The big data query system is set up, including a query configuration unit, a query scheme construction unit and a query unit.

[0027] Query configuration unit: used to configure business query rules and the corresponding relationship between business query rules and query conditions.

[0028] Query plan construction unit: used for extracting corresponding business query rules from the query conditions in the query request according to the analysis results of the query request from the client, and constructing a query plan according to the extracted business query rules.

[0029] Query unit: used to query data according to the query scheme, and return the query results to the client.

[0030] The query system of the described big data also includes a query storage unit: used to store the query history, the query history is recorded with historical query conditions and at least one of the historical query results and historical query schemes corresponding to the historic...

Embodiment 2

[0039] The specific operation steps of this query method are as follows:

[0040] Step 1: The control module receives the user's query request, connects to the data source adaptation module, and the data source adaptation module calls the file adaptation processing method according to the system configuration. The control module queries from the file to check whether there is already a completed query with the same request condition.

[0041] Step 2: If there is, directly obtain the data from the completed query storage result of the query storage module and return it.

[0042] Step 3: If not, check if it is the first query.

[0043] Step 4: If it is the first query, go to Step 6.

[0044] Step 5: If it is not the first query, enter the query storage module, connect to the data source adaptation module, and the data source adaptation module calls the file adaptation processing method according to the system configuration, and continues to query data by obtaining the query sc...

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Abstract

The invention discloses a large data query method and system. The large data query system comprises a query configuration unit, a query scheme construction unit, a query unit, a query storage unit, a data source adaptation unit and a pre-query set unit. The large data query method includes the follow steps that 1, service query rules and a corresponding relation between the service query rules and query conditions are configured; 2, a query history is stored; 3, adaptation is performed on different data source types; 4, a pre-query threshold value and a query tag are set. The large data query method and system have the advantages that compared with the prior art, through configuration of the service query rules and the corresponding relation between the service query rules and the query conditions, a corresponding query rule can be extracted according to the query conditions, an optimized query scheme is constructed to adapt to different query conditions, and the query efficiency is guaranteed.

Description

technical field [0001] The invention relates to the technical field of information retrieval, in particular to a big data query method and system. Background technique [0002] With the development of the Internet, the amount of data in various business systems is increasing day by day, especially in the telecommunications and Internet industries. In the face of these big data query needs, the query performance and efficiency are the first to bear the brunt. In the case of fixed conditions such as server hardware and database configuration, if the traditional query method is used, the query efficiency will increase as the amount of data continues to increase. As it keeps decreasing, the response time of user queries will become slower and slower, and even the database may become unusable due to queries. Although it is possible to consider introducing a search engine to realize the query operation of massive data, since the search engine cannot effectively understand the bus...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 马现珍王诗华崔乐乐
Owner INSPUR GROUP CO LTD
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