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High-efficiency operation method for queuing and stacking big data based on MongoDB

An operation method and technology of big data, applied in the field of efficient processing of queues or stacks of big data, can solve problems such as the inability to provide a large amount of storage, and achieve the effect of solving data processing problems, efficient storage, and load balancing

Active Publication Date: 2017-03-22
中科云(东莞)科技有限公司
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Problems solved by technology

[0003] The technical problem solved by the present invention is to provide an operation method based on MongoDB, which can be used for efficient processing of large data volume and high concurrency queue stack, which can solve the problems that cannot be solved by general programming tools in some large data volume and high concurrency applications. The large storage capacity and high concurrency provided by the operation of the queue stack can be applied to high real-time scenarios such as real-time securities analysis, large data volume concurrent electronic transactions, etc.

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  • High-efficiency operation method for queuing and stacking big data based on MongoDB

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Embodiment Construction

[0034] Such as figure 1 Shown, method implementation step of the present invention is as follows:

[0035] Step 1: Build an independent MongoDB or a cluster of multiple MongoDBs on the same server as the application or on another independent server for data access operations;

[0036] Step 2: By analyzing the business logic of high-concurrency and large-volume data access, extract the sort order characteristics of data storage and retrieval from the data that requires queue or stack operations, and configure the relevant characteristics on the system;

[0037] Step 3: According to the configured sort order feature, establish index support on MongoDB for fast data sorting query; if the sorting order is not specified, you can create an auto-increment feature for fast data sorting query;

[0038] Step 4: Through the program, implement the interface program similar to the operation of the queue stack, implement thread-safe methods such as PUSH, POP, and COUNT, receive data access...

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Abstract

The invention relates to the technical field of big data storage, particularly a high-efficiency processing method for queuing and stacking big data based on a MongoDB. According to the method, through utilization of high-efficiency storage and abundant search support, more types of index support and an Auto-Sharding function of the MongoDB, the MongoDB is taken as a high-efficiency data access space; related counter sequence features are configured; POP and PUSH methods for queuing or stacking are realized in an operation process; and the problem that the efficiency is low due to the fact that the space of an operation environment is insufficient and the maintenance of a new space is increased when a queuing or stacking operation is carried out on batch data in an application is solved. Through application of the method, when the high-concurrency and high-data volume application carries out the queuing or stacking operation, high-efficiency storage of the data is realized, the load is balanced, a data access operation is converted to the MongoDB, and the queuing and stacking operation efficiency of the high data volume is greatly improved.

Description

technical field [0001] The invention relates to the technical field of big data storage, in particular to a method for efficiently processing queues or stacks based on MongoDB big data. Background technique [0002] With the development of computer software application business, there are more and more scenarios where applications use queue stacks, and the amount of data and concurrency of applications is also increasing; such as real-time analysis of securities data, real-time transaction analysis of e-commerce In other cases, a large amount of data storage is required in unit time. For the built-in programs provided by general programming tools, due to the limitation of the operating environment of the application, they cannot well meet the large data volume and high concurrency requests; resulting in a bottleneck in the operation of the application. Contents of the invention [0003] The technical problem solved by the present invention is to provide an operation metho...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F7/78
CPCG06F7/78
Inventor 郑锐韬李勇波孙傲冰季统凯
Owner 中科云(东莞)科技有限公司
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