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diff --git a/notes/Azkaban_Flow_1.0_的使用.md b/notes/Azkaban_Flow_1.0_的使用.md
@@ -223,3 +223,6 @@ memCheck.enabled=false
 
 
 
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diff --git a/notes/Azkaban_Flow_2.0_的使用.md b/notes/Azkaban_Flow_2.0_的使用.md
@@ -294,3 +294,6 @@ nodes:
 1. [Azkaban Flow 2.0 Design](https://github.com/azkaban/azkaban/wiki/Azkaban-Flow-2.0-Design)
 2. [Getting started with Azkaban Flow 2.0](https://github.com/azkaban/azkaban/wiki/Getting-started-with-Azkaban-Flow-2.0)
 
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diff --git a/notes/Azkaban简介.md b/notes/Azkaban简介.md
@@ -74,3 +74,6 @@ Azkaban 和 Oozie 都是目前使用最为广泛的工作流调度程序，其
 + **配置方面**：Azkaban Flow 1.0 基于 Properties 文件来定义工作流，这个时候的限制可能会多一点。但是在 Flow 2.0 就支持了 YARM。YARM 语法更加灵活简单，著名的微服务框架 Spring Boot 就采用的 YAML 代替了繁重的 XML。
 
 
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diff --git a/notes/Flink_Data_Sink.md b/notes/Flink_Data_Sink.md
@@ -266,3 +266,6 @@ env.execute();
 2. Streaming Connectors：https://ci.apache.org/projects/flink/flink-docs-release-1.9/dev/connectors/index.html
 3. Apache Kafka Connector： https://ci.apache.org/projects/flink/flink-docs-release-1.9/dev/connectors/kafka.html 
 
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diff --git a/notes/Flink_Data_Source.md b/notes/Flink_Data_Source.md
@@ -282,3 +282,6 @@ bin/kafka-console-producer.sh --broker-list hadoop001:9092 --topic flink-stream-
 1. data-sources：https://ci.apache.org/projects/flink/flink-docs-release-1.9/dev/datastream_api.html#data-sources 
 2. Streaming Connectors：https://ci.apache.org/projects/flink/flink-docs-release-1.9/dev/connectors/index.html
 3. Apache Kafka Connector： https://ci.apache.org/projects/flink/flink-docs-release-1.9/dev/connectors/kafka.html 
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diff --git a/notes/Flink_Data_Transformation.md b/notes/Flink_Data_Transformation.md
@@ -309,3 +309,6 @@ someStream.filter(...).slotSharingGroup("slotSharingGroupName");
 ## 参考资料
 
 Flink Operators： https://ci.apache.org/projects/flink/flink-docs-release-1.9/dev/stream/operators/ 
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diff --git a/notes/Flink_Windows.md b/notes/Flink_Windows.md
@@ -126,3 +126,6 @@ public WindowedStream<T, KEY, GlobalWindow> countWindow(long size, long slide) {
 ## 参考资料
 
 Flink Windows： https://ci.apache.org/projects/flink/flink-docs-release-1.9/dev/stream/operators/windows.html 
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diff --git a/notes/Flink开发环境搭建.md b/notes/Flink开发环境搭建.md
@@ -302,3 +302,6 @@ Flink 大多数版本都提供有 Scala 2.11 和 Scala 2.12 两个版本的安
 
 
 
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diff --git a/notes/Flink核心概念综述.md b/notes/Flink核心概念综述.md
@@ -171,3 +171,6 @@ Flink 的所有组件都基于 Actor System 来进行通讯。Actor system是多
 
 
 
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diff --git a/notes/Flink状态管理与检查点机制.md b/notes/Flink状态管理与检查点机制.md
@@ -368,3 +368,6 @@ state.checkpoints.dir: hdfs://namenode:40010/flink/checkpoints
 
 
 
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diff --git a/notes/Flume整合Kafka.md b/notes/Flume整合Kafka.md
@@ -114,3 +114,6 @@ flume-ng agent \
 可以看到 `flume-kafka` 主题的消费端已经收到了对应的消息：
 
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diff --git a/notes/Flume简介及基本使用.md b/notes/Flume简介及基本使用.md
@@ -373,3 +373,6 @@ flume-ng agent \
 可以看到已经从 8888 端口监听到内容，并成功输出到控制台：
 
 <div align="center"> <img  src="https://gitee.com/heibaiying/BigData-Notes/raw/master/pictures/flume-example-9.png"/> </div>
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diff --git a/notes/HDFS-Java-API.md b/notes/HDFS-Java-API.md
@@ -386,3 +386,6 @@ public void getFileBlockLocations() throws Exception {
 <br/>
 
 **以上所有测试用例下载地址**：[HDFS Java API](https://github.com/heibaiying/BigData-Notes/tree/master/code/Hadoop/hdfs-java-api)
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diff --git a/notes/HDFS常用Shell命令.md b/notes/HDFS常用Shell命令.md
@@ -139,3 +139,6 @@ hadoop fs -test - [defsz]  URI
 # 示例
 hadoop fs -test -e filename
 ```
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diff --git a/notes/Hadoop-HDFS.md b/notes/Hadoop-HDFS.md
@@ -174,3 +174,6 @@ HDFS 具有良好的跨平台移植性，这使得其他大数据计算框架都
 2. Tom White . hadoop 权威指南 [M] . 清华大学出版社 . 2017.
 3. [翻译经典 HDFS 原理讲解漫画](https://blog.csdn.net/hudiefenmu/article/details/37655491)
 
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diff --git a/notes/Hadoop-MapReduce.md b/notes/Hadoop-MapReduce.md
@@ -382,3 +382,6 @@ job.setNumReduceTasks(WordCountDataUtils.WORD_LIST.size());
 
 
 
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diff --git a/notes/Hadoop-YARN.md b/notes/Hadoop-YARN.md
@@ -126,3 +126,6 @@ YARN 中的任务将其进度和状态 (包括 counter) 返回给应用管理器
 
 
 
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diff --git a/notes/Hbase_Java_API.md b/notes/Hbase_Java_API.md
@@ -759,3 +759,6 @@ connection = ConnectionFactory.createConnection(config);
 1. [连接 HBase 的正确姿势](https://yq.aliyun.com/articles/581702?spm=a2c4e.11157919.spm-cont-list.1.146c27aeFxoMsN%20%E8%BF%9E%E6%8E%A5HBase%E7%9A%84%E6%AD%A3%E7%A1%AE%E5%A7%BF%E5%8A%BF)
 2. [Apache HBase ™ Reference Guide](http://hbase.apache.org/book.htm)
 
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diff --git a/notes/Hbase_Shell.md b/notes/Hbase_Shell.md
@@ -277,3 +277,6 @@ scan 'Student', FILTER=>"PrefixFilter('wr')"
 
 
 
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diff --git a/notes/Hbase协处理器详解.md b/notes/Hbase协处理器详解.md
@@ -488,3 +488,6 @@ hbase > get 'magazine','rowkey1','article:content'
 1. [Apache HBase Coprocessors](http://hbase.apache.org/book.html#cp)
 2. [Apache HBase Coprocessor Introduction](https://blogs.apache.org/hbase/entry/coprocessor_introduction)
 3. [HBase 高階知識](https://www.itread01.com/content/1546245908.html)
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diff --git a/notes/Hbase容灾与备份.md b/notes/Hbase容灾与备份.md
@@ -194,3 +194,6 @@ hbase> restore_snapshot '快照名'
 
 1. [Online Apache HBase Backups with CopyTable](https://blog.cloudera.com/blog/2012/06/online-hbase-backups-with-copytable-2/)
 2. [Apache HBase ™ Reference Guide](http://hbase.apache.org/book.htm)
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diff --git a/notes/Hbase的SQL中间层_Phoenix.md b/notes/Hbase的SQL中间层_Phoenix.md
@@ -239,3 +239,6 @@ public class PhoenixJavaApi {
 # 参考资料
 
 1. http://phoenix.apache.org/
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diff --git a/notes/Hbase简介.md b/notes/Hbase简介.md
@@ -86,3 +86,6 @@ Hbase 的表具有以下特点：
 
 
 
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diff --git a/notes/Hbase系统架构及数据结构.md b/notes/Hbase系统架构及数据结构.md
@@ -220,3 +220,6 @@ HBase 系统遵循 Master/Salve 架构，由三种不同类型的组件组成：
 
 
 
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diff --git a/notes/Hbase过滤器详解.md b/notes/Hbase过滤器详解.md
@@ -443,3 +443,6 @@ scan.setFilter(filterList);
 ## 参考资料
 
 [HBase: The Definitive Guide _>  Chapter 4. Client API: Advanced Features](https://www.oreilly.com/library/view/hbase-the-definitive/9781449314682/ch04.html)
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diff --git a/notes/HiveCLI和Beeline命令行的基本使用.md b/notes/HiveCLI和Beeline命令行的基本使用.md
@@ -277,3 +277,6 @@ Hive 可选的配置参数非常多，在用到时查阅官方文档即可[Admin
 1. [HiveServer2 Clients](https://cwiki.apache.org/confluence/display/Hive/HiveServer2+Clients)
 2. [LanguageManual Cli](https://cwiki.apache.org/confluence/display/Hive/LanguageManual+Cli)
 3. [AdminManual Configuration](https://cwiki.apache.org/confluence/display/Hive/AdminManual+Configuration)
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diff --git a/notes/Hive分区表和分桶表.md b/notes/Hive分区表和分桶表.md
@@ -166,3 +166,6 @@ SELECT * FROM page_view WHERE dt='2009-02-25';
 ## 参考资料
 
 1. [LanguageManual DDL BucketedTables](https://cwiki.apache.org/confluence/display/Hive/LanguageManual+DDL+BucketedTables)
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diff --git a/notes/Hive常用DDL操作.md b/notes/Hive常用DDL操作.md
@@ -448,3 +448,6 @@ SHOW CREATE TABLE ([db_name.]table_name|view_name);
 ## 参考资料
 
 [LanguageManual DDL](https://cwiki.apache.org/confluence/display/Hive/LanguageManual+DDL)
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diff --git a/notes/Hive常用DML操作.md b/notes/Hive常用DML操作.md
@@ -327,3 +327,6 @@ SELECT * FROM emp_ptn;
 
 1. [Hive Transactions](https://cwiki.apache.org/confluence/display/Hive/Hive+Transactions)
 2. [Hive Data Manipulation Language](https://cwiki.apache.org/confluence/display/Hive/LanguageManual+DML)
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diff --git a/notes/Hive数据查询详解.md b/notes/Hive数据查询详解.md
@@ -392,3 +392,6 @@ SET hive.exec.mode.local.auto=true;
 2. [LanguageManual Joins](https://cwiki.apache.org/confluence/display/Hive/LanguageManual+Joins)
 3. [LanguageManual GroupBy](https://cwiki.apache.org/confluence/display/Hive/LanguageManual+GroupBy)
 4. [LanguageManual SortBy](https://cwiki.apache.org/confluence/display/Hive/LanguageManual+SortBy)
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diff --git a/notes/Hive简介及核心概念.md b/notes/Hive简介及核心概念.md
@@ -200,3 +200,6 @@ CREATE TABLE page_view(viewTime INT, userid BIGINT)
 3. [LanguageManual DDL](https://cwiki.apache.org/confluence/display/Hive/LanguageManual+DDL)
 4. [LanguageManual Types](https://cwiki.apache.org/confluence/display/Hive/LanguageManual+Types)
 5. [Managed vs. External Tables](https://cwiki.apache.org/confluence/display/Hive/Managed+vs.+External+Tables)
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diff --git a/notes/Hive视图和索引.md b/notes/Hive视图和索引.md
@@ -234,3 +234,6 @@ SHOW INDEX ON emp;
 2. [Materialized views](https://cwiki.apache.org/confluence/display/Hive/Materialized+views)
 3. [Hive 索引](http://lxw1234.com/archives/2015/05/207.htm)
 4. [Overview of Hive Indexes](https://cwiki.apache.org/confluence/display/Hive/LanguageManual+Indexing)
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diff --git a/notes/Kafka消费者详解.md b/notes/Kafka消费者详解.md
@@ -390,3 +390,6 @@ broker 返回给消费者数据的等待时间，默认是 500ms。
 
 1. Neha Narkhede, Gwen Shapira ,Todd Palino(著) , 薛命灯 (译) . Kafka 权威指南 . 人民邮电出版社 . 2017-12-26
 
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diff --git a/notes/Kafka深入理解分区副本机制.md b/notes/Kafka深入理解分区副本机制.md
@@ -159,3 +159,6 @@ Exception: Replication factor: 3 larger than available brokers: 1.
 
 1. Neha Narkhede, Gwen Shapira ,Todd Palino(著) , 薛命灯 (译) . Kafka 权威指南 . 人民邮电出版社 . 2017-12-26
 2. [Kafka 高性能架构之道](http://www.jasongj.com/kafka/high_throughput/)
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diff --git a/notes/Kafka生产者详解.md b/notes/Kafka生产者详解.md
@@ -362,3 +362,6 @@ acks 参数指定了必须要有多少个分区副本收到消息，生产者才
 ## 参考资料
 
 1. Neha Narkhede, Gwen Shapira ,Todd Palino(著) , 薛命灯 (译) . Kafka 权威指南 . 人民邮电出版社 . 2017-12-26
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diff --git a/notes/Kafka简介.md b/notes/Kafka简介.md
@@ -65,3 +65,6 @@ Broker 是集群 (Cluster) 的组成部分。每一个集群都会选举出一
 ## 参考资料
 
 Neha Narkhede, Gwen Shapira ,Todd Palino(著) , 薛命灯 (译) . Kafka 权威指南 . 人民邮电出版社 . 2017-12-26
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diff --git a/notes/Scala函数和闭包.md b/notes/Scala函数和闭包.md
@@ -310,3 +310,6 @@ object ScalaApp extends App {
 
 
 
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diff --git a/notes/Scala列表和集.md b/notes/Scala列表和集.md
@@ -540,3 +540,6 @@ object ScalaApp extends App {
 
 1. Martin Odersky . Scala 编程 (第 3 版)[M] . 电子工业出版社 . 2018-1-1  
 2. 凯.S.霍斯特曼  . 快学 Scala(第 2 版)[M] . 电子工业出版社 . 2017-7
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diff --git a/notes/Scala基本数据类型和运算符.md b/notes/Scala基本数据类型和运算符.md
@@ -272,3 +272,6 @@ res6: Boolean = true
 ## 参考资料
 
 1. Martin Odersky . Scala 编程 (第 3 版)[M] . 电子工业出版社 . 2018-1-1 
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diff --git a/notes/Scala数组.md b/notes/Scala数组.md
@@ -191,3 +191,6 @@ object ScalaApp extends App {
 
 1. Martin Odersky . Scala 编程 (第 3 版)[M] . 电子工业出版社 . 2018-1-1  
 2. 凯.S.霍斯特曼  . 快学 Scala(第 2 版)[M] . 电子工业出版社 . 2017-7
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diff --git a/notes/Scala映射和元组.md b/notes/Scala映射和元组.md
@@ -280,3 +280,6 @@ object ScalaApp extends App {
 
 1. Martin Odersky . Scala 编程 (第 3 版)[M] . 电子工业出版社 . 2018-1-1  
 2. 凯.S.霍斯特曼  . 快学 Scala(第 2 版)[M] . 电子工业出版社 . 2017-7
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diff --git a/notes/Scala模式匹配.md b/notes/Scala模式匹配.md
@@ -170,3 +170,6 @@ object ScalaApp extends App {
 1. Martin Odersky . Scala 编程 (第 3 版)[M] . 电子工业出版社 . 2018-1-1  
 2. 凯.S.霍斯特曼  . 快学 Scala(第 2 版)[M] . 电子工业出版社 . 2017-7
 
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diff --git a/notes/Scala流程控制语句.md b/notes/Scala流程控制语句.md
@@ -209,3 +209,6 @@ println(s"Hello, ${name}! Next year, you will be ${age + 1}.")
 
 1. Martin Odersky . Scala 编程 (第 3 版)[M] . 电子工业出版社 . 2018-1-1  
 2. 凯.S.霍斯特曼  . 快学 Scala(第 2 版)[M] . 电子工业出版社 . 2017-7
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diff --git a/notes/Scala简介及开发环境配置.md b/notes/Scala简介及开发环境配置.md
@@ -131,3 +131,6 @@ IDEA 默认不支持 Scala 语言的开发，需要通过插件进行扩展。
 
 1. Martin Odersky(著)，高宇翔 (译) . Scala 编程 (第 3 版)[M] . 电子工业出版社 . 2018-1-1 
 2. https://www.scala-lang.org/download/
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diff --git a/notes/Scala类和对象.md b/notes/Scala类和对象.md
@@ -410,3 +410,6 @@ true
 1. Martin Odersky . Scala 编程 (第 3 版)[M] . 电子工业出版社 . 2018-1-1  
 2. 凯.S.霍斯特曼  . 快学 Scala(第 2 版)[M] . 电子工业出版社 . 2017-7
 
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diff --git a/notes/Scala类型参数.md b/notes/Scala类型参数.md
@@ -465,3 +465,6 @@ def min[T <: SuperComparable[T]](p: Pair[T]) = {}
 1. Martin Odersky . Scala 编程 (第 3 版)[M] . 电子工业出版社 . 2018-1-1  
 2. 凯.S.霍斯特曼  . 快学 Scala(第 2 版)[M] . 电子工业出版社 . 2017-7
 
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diff --git a/notes/Scala继承和特质.md b/notes/Scala继承和特质.md
@@ -416,3 +416,6 @@ class Employee extends Person with InfoLogger with ErrorLogger {...}
 
 
 
+
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+<div align="center"> <img  src="https://gitee.com/heibaiying/BigData-Notes/raw/master/pictures/weixin-desc.png"/> </div>
diff --git a/notes/Scala隐式转换和隐式参数.md b/notes/Scala隐式转换和隐式参数.md
@@ -354,3 +354,6 @@ object Pair extends App {
 
 
 
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+<div align="center"> <img  src="https://gitee.com/heibaiying/BigData-Notes/raw/master/pictures/weixin-desc.png"/> </div>
diff --git a/notes/Scala集合类型.md b/notes/Scala集合类型.md
@@ -257,3 +257,6 @@ res8: Boolean = false
 1. https://docs.scala-lang.org/overviews/collections/overview.html
 2. https://docs.scala-lang.org/overviews/collections/trait-traversable.html
 3. https://docs.scala-lang.org/overviews/collections/trait-iterable.html
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diff --git a/notes/SparkSQL_Dataset和DataFrame简介.md b/notes/SparkSQL_Dataset和DataFrame简介.md
@@ -145,3 +145,6 @@ DataFrame、DataSet 和 Spark SQL 的实际执行流程都是相同的：
 2. [Spark SQL, DataFrames and Datasets Guide](https://spark.apache.org/docs/latest/sql-programming-guide.html)
 3. [且谈 Apache Spark 的 API 三剑客：RDD、DataFrame 和 Dataset(译文)](https://www.infoq.cn/article/three-apache-spark-apis-rdds-dataframes-and-datasets)
 4. [A Tale of Three Apache Spark APIs: RDDs vs DataFrames and Datasets(原文)](https://databricks.com/blog/2016/07/14/a-tale-of-three-apache-spark-apis-rdds-dataframes-and-datasets.html)
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Expand Up		@@ -223,3 +223,6 @@ memCheck.enabled=false





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Expand Up		@@ -294,3 +294,6 @@ nodes:
		1. [Azkaban Flow 2.0 Design](https://github.com/azkaban/azkaban/wiki/Azkaban-Flow-2.0-Design)
		2. [Getting started with Azkaban Flow 2.0](https://github.com/azkaban/azkaban/wiki/Getting-started-with-Azkaban-Flow-2.0)



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Expand Up		@@ -74,3 +74,6 @@ Azkaban 和 Oozie 都是目前使用最为广泛的工作流调度程序，其
		+ 配置方面：Azkaban Flow 1.0 基于 Properties 文件来定义工作流，这个时候的限制可能会多一点。但是在 Flow 2.0 就支持了 YARM。YARM 语法更加灵活简单，著名的微服务框架 Spring Boot 就采用的 YAML 代替了繁重的 XML。




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Expand Up		@@ -266,3 +266,6 @@ env.execute();
		2. Streaming Connectors：https://ci.apache.org/projects/flink/flink-docs-release-1.9/dev/connectors/index.html
		3. Apache Kafka Connector： https://ci.apache.org/projects/flink/flink-docs-release-1.9/dev/connectors/kafka.html



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Expand Up		@@ -309,3 +309,6 @@ someStream.filter(...).slotSharingGroup("slotSharingGroupName");
		## 参考资料

		Flink Operators： https://ci.apache.org/projects/flink/flink-docs-release-1.9/dev/stream/operators/


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Expand Up		@@ -126,3 +126,6 @@ public WindowedStream<T, KEY, GlobalWindow> countWindow(long size, long slide) {
		## 参考资料

		Flink Windows： https://ci.apache.org/projects/flink/flink-docs-release-1.9/dev/stream/operators/windows.html


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Expand Up		@@ -302,3 +302,6 @@ Flink 大多数版本都提供有 Scala 2.11 和 Scala 2.12 两个版本的安





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Expand Up		@@ -171,3 +171,6 @@ Flink 的所有组件都基于 Actor System 来进行通讯。Actor system是多





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Expand Up		@@ -368,3 +368,6 @@ state.checkpoints.dir: hdfs://namenode:40010/flink/checkpoints





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Expand Up		@@ -114,3 +114,6 @@ flume-ng agent \
		可以看到 `flume-kafka` 主题的消费端已经收到了对应的消息：

		<div align="center"> <img src="https://gitee.com/heibaiying/BigData-Notes/raw/master/pictures/flume-kafka-2.png"/> </div>


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