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Flink 安装准备
Flink 运行支持 Linux、苹果、Windows 主流平台。不过最好还是使用 Linux。下面给出安装前的准备：
安装 Jdk1.7.X 或者以上的版本
在 Flink 官网下载对应 Hadoop 预编译版本
将预编译版本解压，进入解压缩文件，为了方便，后文统一称此目录为：FLINK_HOME。
开始安装单机快速尝试
单机尝试非常简单，直接执行命令：
Linux 用户：sh bin/start-local.sh
Windows 用户，在命令窗户输入：bin\start-local.bat
等待其出现如下提示之后：
D:\Java\flink\flink-0.10.1 bin\start-local.bat
Starting Flink job manager. Webinterface by default on http://localhost:8081/.
Don t close this batch window. Stop job manager by pressing Ctrl+C.在浏览器中输入：http://localhost:8081/，Flink 默认监听 8081 端口，防止其他进程占用此端口。此时出现下面的管理界面：
可以发现这个界面和 Spark 的管理界面的逻辑差不多，主要是管理正在运行的 Job，已经完成的 Job，以及 Task 管理和 Job 管理，Task 应该是管理 Job 的，以后再仔细分析里面的逻辑。
跑第一个例子
下面迫不及待先来跑一个分布式系统最经典的例子：WordCount，下面以 FLINK_HOME 的 README.txt 文件作为示例文件，测试 WordCount 程序，在 Windows 上面运行代码以及运行过程如下图：
D:\Java\flink\flink-0.10.1 bin\flink.bat run .\examples\WordCount.jar file:/D:/Java/flink/flink-0.10.1/README.txt file:/D:/Java/flink/flink-0.10.1/wordcount-result.txt
log4j:WARN No appenders could be found for logger (org.apache.hadoop.metrics2.li
b.MutableMetricsFactory).
log4j:WARN Please initialize the log4j system properly.
log4j:WARN See http://logging.apache.org/log4j/1.2/faq.html#noconfig for more info.
01/15/2016 16:30:51 Job execution switched to status RUNNING.
01/15/2016 16:30:51 CHAIN DataSource (at getTextDataSet(WordCount.java:142)
(org.apache.flink.api.java.io.TextInputFormat)) - FlatMap (FlatMap at main(WordCount.java:69)) - Combine(SUM(1), at main(WordCount.java:72)(1/1) switched to SCHEDULED
01/15/2016 16:30:51 CHAIN DataSource (at getTextDataSet(WordCount.java:142)
(org.apache.flink.api.java.io.TextInputFormat)) - FlatMap (FlatMap at main(WordCount.java:69)) - Combine(SUM(1), at main(WordCount.java:72)(1/1) switched to DEPLOYING
01/15/2016 16:30:52 CHAIN DataSource (at getTextDataSet(WordCount.java:142)
(org.apache.flink.api.java.io.TextInputFormat)) - FlatMap (FlatMap at main(WordCount.java:69)) - Combine(SUM(1), at main(WordCount.java:72)(1/1) switched to RUNNING
01/15/2016 16:30:52 Reduce (SUM(1), at main(WordCount.java:72)(1/1) switched to SCHEDULED
01/15/2016 16:30:52 Reduce (SUM(1), at main(WordCount.java:72)(1/1) switched to DEPLOYING
01/15/2016 16:30:52 CHAIN DataSource (at getTextDataSet(WordCount.java:142)
(org.apache.flink.api.java.io.TextInputFormat)) - FlatMap (FlatMap at main(WordCount.java:69)) - Combine(SUM(1), at main(WordCount.java:72)(1/1) switched to FINISHED
01/15/2016 16:30:52 Reduce (SUM(1), at main(WordCount.java:72)(1/1) switched to RUNNING
01/15/2016 16:30:53 DataSink (CsvOutputFormat (path: file:/D:/Java/flink/flink-0.10.1/wordcount-result.txt, delimiter: ))(1/1) switched to SCHEDULED
01/15/2016 16:30:53 DataSink (CsvOutputFormat (path: file:/D:/Java/flink/flink-0.10.1/wordcount-result.txt, delimiter: ))(1/1) switched to DEPLOYING
01/15/2016 16:30:53 Reduce (SUM(1), at main(WordCount.java:72)(1/1) switched to FINISHED
01/15/2016 16:30:53 DataSink (CsvOutputFormat (path: file:/D:/Java/flink/flink-0.10.1/wordcount-result.txt, delimiter: ))(1/1) switched to RUNNING
01/15/2016 16:30:53 DataSink (CsvOutputFormat (path: file:/D:/Java/flink/flink-0.10.1/wordcount-result.txt, delimiter: ))(1/1) switched to FINISHED
01/15/2016 16:30:53 Job execution switched to status FINISHED.可以看到输出日志非常详细，很方便就清楚整个运行流程，得到输出文件 wordcount-result.txt 前面 10 条内容如下：
1 1
13 1
5d002 1
740 1
about 1
account 1
administration 1
algorithms 1
and 7
another 1
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