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onlineloganalysis's Introduction

1.Index

00【在线日志分析】之项目概述和GitHub项目地址

01【在线日志分析】之Flume-1.7.0源码编译导入eclipse

02【在线日志分析】之基于Flume-ngExecSource开发自定义插件AdvancedExecSource

03【在线日志分析】之hadoop-2.7.3编译和搭建集群环境(HDFSHA,YarnHA)

04【在线日志分析】之FlumeAgent的3台收集+1台聚合到hdfs的搭建

05【在线日志分析】之Kafka0.10.1.0Cluster的搭建和Topic简单操作实验

06【在线日志分析】之KafkaOffsetMonitor监控工具的搭建

07【在线日志分析】之kafka-manager监控工具的搭建（sbt安装与编译）

08【在线日志分析】之FlumeAgent(聚合节点)

09【在线日志分析】之基于SparkStreamingDirect方式的WordCount最详细案例(java版)

10【在线日志分析】之基于SparkStreaming开发OnLineLogAanlysis1

11【在线日志分析】之redis-3.2.5install(单节点)

12【在线日志分析】之RedisLive监控工具的详细安装

13【在线日志分析】之舍弃Redis+echarts3,选择InfluxDB+Grafana

14【在线日志分析】之influxdb-1.2.0Install和概念，语法等学习

15【在线日志分析】之基于SparkStreaming+Saprksql开发OnLineLogAanlysis2（Final）

16【在线日志分析】之grafana-4.1.1Install和新建日志分析的DashBoard

17【在线日志分析】之使用IDEA将工程Build成jar包

18【在线日志分析】之SparkonYarn配置日志WebUI(HistoryServer服务)

19【在线日志分析】之sparkdemo.jar运行在yarn上过程

20【在线日志分析】之记录一次SparkStreaming+Saprksql的数据倾斜

21【在线日志分析】之记录一个flume-ng的tail -f参数所诱发的血案

2.online_log_analysisdashboard online_log_analysisdashboard

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