Init package

Signed-off-by: hubble_zhu <hubble_zhu@qq.com>

README.en.md

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-# spark
-
-#### Description
-A unified analytics engine for large-scale data processing
-
-#### Software Architecture
-Software architecture description
-
-#### Installation
-
-1.  xxxx
-2.  xxxx
-3.  xxxx
-
-#### Instructions
-
-1.  xxxx
-2.  xxxx
-3.  xxxx
-
-#### Contribution
-
-1.  Fork the repository
-2.  Create Feat_xxx branch
-3.  Commit your code
-4.  Create Pull Request
-
-
-#### Gitee Feature
-
-1.  You can use Readme\_XXX.md to support different languages, such as Readme\_en.md, Readme\_zh.md
-2.  Gitee blog [blog.gitee.com](https://blog.gitee.com)
-3.  Explore open source project [https://gitee.com/explore](https://gitee.com/explore)
-4.  The most valuable open source project [GVP](https://gitee.com/gvp)
-5.  The manual of Gitee [https://gitee.com/help](https://gitee.com/help)
-6.  The most popular members  [https://gitee.com/gitee-stars/](https://gitee.com/gitee-stars/)

README.md

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-# spark
-
-#### 介绍
-A unified analytics engine for large-scale data processing
-
-#### 软件架构
-软件架构说明
-
-
-#### 安装教程
-
-1.  xxxx
-2.  xxxx
-3.  xxxx
-
-#### 使用说明
-
-1.  xxxx
-2.  xxxx
-3.  xxxx
-
-#### 参与贡献
-
-1.  Fork 本仓库
-2.  新建 Feat_xxx 分支
-3.  提交代码
-4.  新建 Pull Request
-
-
-#### 码云特技
-
-1.  使用 Readme\_XXX.md 来支持不同的语言，例如 Readme\_en.md, Readme\_zh.md
-2.  码云官方博客 [blog.gitee.com](https://blog.gitee.com)
-3.  你可以 [https://gitee.com/explore](https://gitee.com/explore) 这个地址来了解码云上的优秀开源项目
-4.  [GVP](https://gitee.com/gvp) 全称是码云最有价值开源项目，是码云综合评定出的优秀开源项目
-5.  码云官方提供的使用手册 [https://gitee.com/help](https://gitee.com/help)
-6.  码云封面人物是一档用来展示码云会员风采的栏目 [https://gitee.com/gitee-stars/](https://gitee.com/gitee-stars/)

spark.spec

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+
+Summary: A unified analytics engine for large-scale data processing.
+Name: spark
+Version: 3.0.1
+Release: 1.0
+License: Apache License v2.0
+URL: http://spark.apache.org/
+BuildArch: noarch
+Source0: https://github.com/apache/spark/archive/v%{version}.tar.gz
+
+BuildRequires: java-1.8.0-openjdk-devel
+BuildRequires: maven
+
+Requires: java-1.8.0-openjdk
+
+ExclusiveArch: x86_64 aarch64
+
+%description
+Apache Spark achieves high performance for both batch and streaming data, using a state-of-the-art DAG scheduler, a query optimizer, and a physical execution engine.
+
+%prep
+%setup -q
+
+%build
+mvn -DskipTests clean package
+
+%install
+mkdir -p %{buildroot}/opt/%{name}-${version}/
+
+%filess
+/opt/%{name}-${version}/*
+
+
+%changelog
+* Fri Sep 18 2020 Hubble_Zhu<hubble_zhu@qq.com> - 1.0
+- Init package
+
+