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README.md

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[![Maven Central](https://maven-badges.herokuapp.com/maven-central/io.github.lvyahui8/spring-boot-data-aggregator-starter/badge.svg)](https://maven-badges.herokuapp.com/maven-central/io.github.lvyahui8/spring-boot-data-aggregator-starter)
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[![GitHub release](https://img.shields.io/github/release/lvyahui8/spring-boot-data-aggregator.svg)](https://github.com/lvyahui8/spring-boot-data-aggregator/releases)
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[![Total alerts](https://img.shields.io/lgtm/alerts/g/lvyahui8/spring-boot-data-aggregator.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/lvyahui8/spring-boot-data-aggregator/alerts/)
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[![Language grade: Java](https://img.shields.io/lgtm/grade/java/g/lvyahui8/spring-boot-data-aggregator.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/lvyahui8/spring-boot-data-aggregator/context:java)
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## 背景与目的
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在开发后台接口时, 为了开发效率, 我们往往习惯编写串行执行的代码, 去调用不同的接口, 即使这些接口之间并无依赖, 这使得最后开发的接口性能低下, 且数据不方便复用

README_EN.md

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[![Maven Central](https://maven-badges.herokuapp.com/maven-central/io.github.lvyahui8/spring-boot-data-aggregator-starter/badge.svg)](https://maven-badges.herokuapp.com/maven-central/io.github.lvyahui8/spring-boot-data-aggregator-starter)
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[![GitHub release](https://img.shields.io/github/release/lvyahui8/spring-boot-data-aggregator.svg)](https://github.com/lvyahui8/spring-boot-data-aggregator/releases)
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[![Total alerts](https://img.shields.io/lgtm/alerts/g/lvyahui8/spring-boot-data-aggregator.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/lvyahui8/spring-boot-data-aggregator/alerts/)
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[![Language grade: Java](https://img.shields.io/lgtm/grade/java/g/lvyahui8/spring-boot-data-aggregator.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/lvyahui8/spring-boot-data-aggregator/context:java)
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## Background and purpose
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When developing the background interface, in order to improve the development efficiency, we often write serial execution codes to call different interfaces, even if there is no dependency among these interfaces, which causes the last developed interface performance is low, and the data is not convenient to reuse.

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