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Data exporting method

A data export and data technology, applied in the field of big data, can solve problems such as inconvenient, reduce secondary development, improve flexibility and scalability, and facilitate data export

Pending Publication Date: 2021-10-01
杭州玳数科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in a big data environment, according to actual business needs, a project will connect to more than a dozen different data sources, and it is undoubtedly not convenient enough to use the traditional model for data source interaction

Method used

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Embodiment Construction

[0016] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0017] Such as figure 1 As shown, the data export method in the embodiment of the present invention includes the following steps:

[0018] S1, based on the Java-based SPI mechanism, packs the configuration information of various data sources into corresponding jar packages and puts them into the specified directory.

[0019] For a certain data source, specifically, the driver of a certain data source can be introduced first, and multiple main interfaces can b...

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Abstract

The invention provides a data exporting method, and relates to the technical field of big data. The data exporting method comprises the following steps of: based on an SPI mechanism of Java, packaging configuration information of various data sources into corresponding jar packets, and putting the jar packets under a specified directory; after a user selects any data source in the multiple data sources, finding out a jar packet corresponding to the data source selected by the user under the specified directory; and exporting the data of the data source selected by the user according to the found jar packet, and downloading the data by the user. According to the invention, data of various data sources can be conveniently exported.

Description

technical field [0001] The invention relates to the technical field of big data, in particular to a data export method. Background technique [0002] Most of the current data export technologies in the data source are based on the type of data source, first manually importing the driver package corresponding to each data source in the project, so as to complete the interactive work between the program and the data source. If there is only one or a few data sources applied in the project, this mode can barely cope. However, in a big data environment, according to actual business needs, a project will connect to more than a dozen different data sources, and it is undoubtedly not convenient to use the traditional model to interact with data sources. Contents of the invention [0003] In order to solve the above technical problems, the present invention provides a data export method, which can reduce the secondary development of the system when docking new data sources, impro...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/90
CPCG06F16/90
Inventor 黄光旭杨秦敏宁海元
Owner 杭州玳数科技有限公司
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