格式调整
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.gitignore
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*.iml
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*.ipr
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*.iws
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*.jar
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*.sw?
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*~
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.#*
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README.md
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README.md
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1. [分布式文件存储系统——HDFS](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Hadoop-HDFS.md)
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2. [分布式计算框架——MapReduce](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Hadoop-MapReduce.md)
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3. [集群资源管理器——YARN](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Hadoop-YARN.md)
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4. Hadoop单机伪集群环境搭建
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4. [Hadoop单机伪集群环境搭建](https://github.com/heibaiying/BigData-Notes/blob/master/notes/installation/hadoop%E5%8D%95%E6%9C%BA%E7%89%88%E6%9C%AC%E7%8E%AF%E5%A2%83%E6%90%AD%E5%BB%BA.md)
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## 二、Hive
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1. [数据仓库Hive](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Hive.md)
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2. Linux环境下Hive的安装部署
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2. [Linux环境下Hive的安装部署](https://github.com/heibaiying/BigData-Notes/blob/master/notes/installation/Linux%E7%8E%AF%E5%A2%83%E4%B8%8BHive%E7%9A%84%E5%AE%89%E8%A3%85%E9%83%A8%E7%BD%B2.md)
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## 三、Spark
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1. Spark简介
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2. Spark单机版本环境搭建
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2. [Spark单机版本环境搭建](https://github.com/heibaiying/BigData-Notes/blob/master/notes/installation/Spark%E5%8D%95%E6%9C%BA%E7%89%88%E6%9C%AC%E7%8E%AF%E5%A2%83%E6%90%AD%E5%BB%BA.md)
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3. RDD详解
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4. Spark Transformation 和 Action
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1. Strom简介
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2. [Storm核心概念详解](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Storm核心概念详解.md)
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3. Storm单机版本环境搭建
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3. [Storm单机版本环境搭建](https://github.com/heibaiying/BigData-Notes/blob/master/notes/installation/Storm%E5%8D%95%E6%9C%BA%E7%89%88%E6%9C%AC%E7%8E%AF%E5%A2%83%E6%90%AD%E5%BB%BA.md)
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4. Storm编程模型
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## 六、Flume
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1. Flume简介
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2. Linux环境下Flume的安装部署
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2. [Linux环境下Flume的安装部署](https://github.com/heibaiying/BigData-Notes/blob/master/notes/installation/Linux%E4%B8%8BFlume%E7%9A%84%E5%AE%89%E8%A3%85.md)
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3. Flume的使用
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4. Flume整合Kafka
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@ -93,9 +93,9 @@ TODO
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## 八、Azkaban
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1. Azkaban项目简介
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2. Azkaban3.x编译及部署
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3. Azkaban Flow 1.0 的使用
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4. Azkaban Flow 2.0 的使用
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2. [Azkaban3.x编译及部署](https://github.com/heibaiying/BigData-Notes/blob/master/notes/installation/Azkaban%203.x%20%E7%BC%96%E8%AF%91%E5%8F%8A%E9%83%A8%E7%BD%B2.md)
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3. [Azkaban Flow 1.0 的使用](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Azkaban%20Flow%201.0%20%E7%9A%84%E4%BD%BF%E7%94%A8.md)
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4. [Azkaban Flow 2.0 的使用](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Azkaban%20Flow%202.0%20%E7%9A%84%E4%BD%BF%E7%94%A8.md)
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## 九、HBase
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3. [HBase常用Shell命令](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Hbase%20Shell.md)
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4. HBase Java API
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5. HBase 协处理器
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6. HBase 备份与恢复
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6. [HBase 容灾与备份](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Hbase%E5%AE%B9%E7%81%BE%E4%B8%8E%E5%A4%87%E4%BB%BD.md)
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7. [HBase的SQL中间层——Phoenix](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Hbase%E7%9A%84SQL%E5%B1%82%E2%80%94%E2%80%94Phoenix.md)
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8. [Spring/Spring Boot 整合 Mybatis + Phoenix](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Spring%2BMybtais%2BPhoenix%E6%95%B4%E5%90%88.md)
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## 十、Kafka
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# Azkaban Flow 1.0 的使用
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<nav>
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<nav>
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<a href="#一简介">一、简介</a><br/>
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<a href="#二基本任务调度">二、基本任务调度</a><br/>
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<a href="#21-新建项目">2.1 新建项目</a><br/>
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<a href="#五调度MR作业">五、调度MR作业</a><br/>
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<a href="#六调度Hive作业">六、调度Hive作业</a><br/>
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<a href="#七在线修改作业配置">七、在线修改作业配置</a><br/>
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<a href="#<div-align="center">-<img--src="httpsgithubcomheibaiyingBigData-Notesblobmasterpicturesazkaban-click-editpng">-<div>八可能出现的问题"><div align="center"> <img src="https://github.com/heibaiying/BigData-Notes/blob/master/pictures/azkaban-click-edit.png"/> </div>八、可能出现的问题</a><br/>
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</nav>
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## 一、简介
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Azkaban提供了人性化的WEB UI界面,使得我们可以通过界面上传配置文件来完成任务的调度。Azkaban有两个重要的概念:
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@ -210,7 +211,9 @@ desc emp;
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在编辑页面可以新增配置或者修改配置
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## <div align="center"> <img src="https://github.com/heibaiying/BigData-Notes/blob/master/pictures/azkaban-click-edit.png"/> </div>八、可能出现的问题
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<div align="center"> <img src="https://github.com/heibaiying/BigData-Notes/blob/master/pictures/azkaban-click-edit.png"/> </div>
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## 附:可能出现的问题
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如果出现以下异常,多半是因为执行主机内存不足引起,azkaban要求执行主机可用内存必须大于3G才能满足执行任务的条件
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### 五、Linux
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### 六、Flume
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1. [Linux环境下Flume的安装部署](https://github.com/heibaiying/BigData-Notes/blob/master/notes/installation/Linux%E4%B8%8BFlume%E7%9A%84%E5%AE%89%E8%A3%85.md)
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### 七、Azkaban
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1. [Azkaban3.x编译及部署](https://github.com/heibaiying/BigData-Notes/blob/master/notes/installation/Azkaban%203.x%20%E7%BC%96%E8%AF%91%E5%8F%8A%E9%83%A8%E7%BD%B2.md)
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### 八、Hive
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1. [Linux环境下Hive的安装部署](https://github.com/heibaiying/BigData-Notes/blob/master/notes/installation/Linux%E7%8E%AF%E5%A2%83%E4%B8%8BHive%E7%9A%84%E5%AE%89%E8%A3%85%E9%83%A8%E7%BD%B2.md)
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+ [虚拟机静态IP配置](https://github.com/heibaiying/BigData-Notes/blob/master/notes/installation/虚拟机静态IP配置.md)
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>
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> 系统环境:Centos 7.6
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<nav>
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<a href="#11-下载并解压">1.1 下载并解压</a><br/>
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<a href="#12-配置环境变量">1.2 配置环境变量</a><br/>
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<a href="#13-修改配置">1.3 修改配置</a><br/>
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<a href="#14-拷贝数据库驱动">1.4 拷贝数据库驱动</a><br/>
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<a href="#15-初始化元数据库">1.5 初始化元数据库</a><br/>
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<a href="#16-启动">1.6 启动</a><br/>
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</nav>
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### 1.1 下载并解压
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下载所需版本的Hive,这里我下载的是`cdh5.15.2`版本的Hive。下载地址为:http://archive.cloudera.com/cdh5/cdh/5/
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### 1.4 拷贝数据库驱动
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将MySQL驱动拷贝到Hive安装目录的`lib`目录下, MySQL驱动的下载地址为https://dev.mysql.com/downloads/connector/j/ , 在本仓库的resources目录下我也上传了一份,有需要的可以自行下载。
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将MySQL驱动拷贝到Hive安装目录的`lib`目录下, MySQL驱动的下载地址为https://dev.mysql.com/downloads/connector/j/ , 在本仓库的[resources](https://github.com/heibaiying/BigData-Notes/tree/master/resources)目录下我也上传了一份,有需要的可以自行下载。
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<div align="center"> <img src="https://github.com/heibaiying/BigData-Notes/blob/master/pictures/hive-mysql.png"/> </div>
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resources/mysql-connector-java-5.1.47.jar
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resources/mysql-connector-java-5.1.47.jar
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