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Data query method and device, equipment and storage medium

A data query device and data query technology, applied in the field of big data, can solve the problem of low data query requests and achieve the effect of improving processing efficiency

Pending Publication Date: 2022-07-15
PINGAN INT SMART CITY TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The main purpose of the present invention is to solve the technical problem that the existing server clusters are less efficient in processing data query requests

Method used

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  • Data query method and device, equipment and storage medium
  • Data query method and device, equipment and storage medium
  • Data query method and device, equipment and storage medium

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Embodiment Construction

[0026] The embodiments of the present invention provide a data query method, device, device and storage medium, obtain a task request for a client to perform data query, and send the task request to a corresponding first microservice in a preset microservice cluster; Set the task to be fine-grained, process the tasks corresponding to the task request through the first microservice, and obtain multiple subtasks; determine the status information of each second microservice in the microservice cluster, and based on the status information, associate each subtask with The first microservice and each second microservice are matched; the first microservice and the second microservice are used to execute the matched subtasks, and based on the results of the subtask execution, a data query result is generated to query the client for data the response to. The present invention improves the processing efficiency of data query.

[0027]The terms "first", "second", "third", "fourth", etc....

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Abstract

The invention relates to the technical field of big data, and discloses a data query method and device, equipment and a storage medium. The method comprises the following steps: acquiring a task request of a client for data query, and sending the task request to a corresponding first micro-service in a preset micro-service cluster; according to a preset task fine granularity, performing fragmentation processing on a task corresponding to the task request through the first micro-service to obtain a plurality of sub-tasks; determining state information of each second micro-service in the micro-service cluster, and matching each sub-task with the first micro-service and each second micro-service based on the state information; and executing the matched sub-task by adopting the first micro-service and the second micro-service, and generating a data query result based on the execution result of the sub-task so as to respond to the data query of the client. According to the invention, the processing efficiency of data query is improved.

Description

technical field [0001] The present invention relates to the technical field of big data, and in particular, to a data query method, device, equipment and storage medium. Background technique [0002] In daily data query requirements, it is impossible to respond to every data query request immediately, and it is only expected that the less the running time, the better. For example, the data query request involves many io operations or calls to third-party services, which may easily cause data requests. If it is too slow, if transactions and database drop are involved, the request competition will increase in the case of a large amount of concurrency. [0003] In the prior art, in the system, a data query request is finally routed to a server, which is usually processed by a thread. In the case of minor concurrency, other servers are still in an idle state, which will cause a waste of resources. . Among them, the simple preset thread pool can only be concurrently performed o...

Claims

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Application Information

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IPC IPC(8): G06F16/953G06F16/9538G06F9/48G06F9/50
CPCG06F16/953G06F16/9538G06F9/4881G06F9/505
Inventor 黎伟荣
Owner PINGAN INT SMART CITY TECH CO LTD