A method and system for visual editing and data presentation of elasticsearch DSL rules

Abstract

The invention relates to a method and a system for realizing visualized editing and data presentation of Elasticsearch Dsl rule. The method comprises the following steps of inputting a user request and a DSL (digital simulation language) panel setting request on a Web visualizing interface; enabling an analyzer of a server to respond to the user request, and grouping a DSL request sentence; enabling an Elasticsearch cluster server to respond to the DSL request, generating designated data, and returning back to the analyzer of the server; enabling the analyzer of the server to receive the data from the Elasticsearch, and generate the particular type of data according to the user request; analyzing the particular type of data sent by the analyzer of the server, and forming a visualizing chart. The method has the advantages that the user can present the data processing request in a form way, the user only requires to operate the options of the form, then the input of the processing rule is completed, the writing of raw DSL sentence by the Elasticsearch Dsl grammar does not need to be controlled, and the technical requirement on the operation user is decreased; the output results can be presented in a visualizing way according to multiple panel types, the artificial analysis and summarizing of return data by the user are not needed, and the significance of data processing results is greatly enriched.

Description

technical field [0001] The present invention relates to a method and system for realizing visual editing and data presentation of Elasticsearch Dsl rules, in particular to a method and system for Internet development technology and big data technology direction. Background technique [0002] In the context of the era of big data, it is essential to filter and search massive data and extract the target type of data. Usually, people need to set various filtering rules to extract and display the target data. At present, real-time data is more common The display method is to use solutions based on Elasticsearch to realize data display, such as ELK, Grafana and other open source solutions. [0003] Since such solutions all involve Elasticsearch DSL technology, they put high demands on operators in the field of Elasticsearch DSL technology. They must be proficient in the highly flexible and grammatically complex Elasticsearch DSL language, which will inevitably lead to low data ac...

AI Technical Summary

Problems solved by technology

[0003] Since such solutions all involve Elasticsearch DSL technology, they put high demands on operators in the field of Elasticsearch DSL technology. They must be proficient in the highly flexible and grammatically complex Elasticsearch DSL language, which will inevitably lead to low data acquisition efficiency. , and is extremely error-prone. At the same time, based on the data acquisition request sent to the Elasticsearch cluster based on the Elasticsearch DSL syntax, the returned data set is also a standard Elasticsearch DSL statement structure. Structured data sets, these tasks are boring and heavy, not only inefficient to process, but more importantly, they need to be extremely careful and patient in operation, and errors will occur if there is a slight negligence, which will bring great inconvenience to data processing

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