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Fix some typos. #66

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Fix some typos. #66

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Fix some typos.
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@Yulv-git
Yulv-git committed May 19, 2022
commit fb4ca167a59ceedfa98775ac4dc32c1740fd5fcf
2 changes: 1 addition & 1 deletion notes/Azkaban_Flow_2.0_的使用.md
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Expand Up @@ -13,7 +13,7 @@

### 1.1 Flow 2.0 的产生

Azkaban 目前同时支持 Flow 1.0 和 Flow2.0 ，但是官方文档上更推荐使用 Flow 2.0，因为 Flow 1.0 会在将来的版本被移除。Flow 2.0 的主要设计思想是提供 1.0 所没有的流级定义。用户可以将属于给定流的所有 `job / properties` 文件合并到单个流定义文件中，其内容采用 YAML 语法进行定义，同时还支持在流中再定义流，称为为嵌入流或子流。
Azkaban 目前同时支持 Flow 1.0 和 Flow 2.0 ，但是官方文档上更推荐使用 Flow 2.0，因为 Flow 1.0 会在将来的版本被移除。Flow 2.0 的主要设计思想是提供 1.0 所没有的流级定义。用户可以将属于给定流的所有 `job / properties` 文件合并到单个流定义文件中，其内容采用 YAML 语法进行定义，同时还支持在流中再定义流，称为嵌入流或子流。

### 1.2 基本结构

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2 changes: 1 addition & 1 deletion notes/Hadoop-HDFS.md
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Expand Up @@ -110,7 +110,7 @@ HDFS 设计的重点是支持高吞吐量的数据访问，而不是低延迟的

### 3.3 大文件支持

HDFS 适合于大文件的存储，文档的大小应该是是 GB 到 TB 级别的。
HDFS 适合于大文件的存储，文档的大小应该是 GB 到 TB 级别的。

### 3.3 简单一致性模型

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2 changes: 1 addition & 1 deletion notes/Hive简介及核心概念.md
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Expand Up @@ -35,7 +35,7 @@ Hive 是一个构建在 Hadoop 之上的数据仓库，它可以将结构化的

可以用 command-line shell 和 thrift／jdbc 两种方式来操作数据：

+ **command-line shell**：通过 hive 命令行的的方式来操作数据；
+ **command-line shell**：通过 hive 命令行的方式来操作数据；
+ **thrift／jdbc**：通过 thrift 协议按照标准的 JDBC 的方式操作数据。

### 2.2 Metastore
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2 changes: 1 addition & 1 deletion notes/SparkSQL常用聚合函数.md
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Expand Up @@ -198,7 +198,7 @@ case class SumAndCount(var sum: Double, var count: Long)
*/
object MyAverage extends Aggregator[Emp, SumAndCount, Double] {

// 4.用于聚合操作的的初始零值
// 4.用于聚合操作的初始零值
override def zero: SumAndCount = SumAndCount(0, 0)

// 5.同一分区中的 reduce 操作
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2 changes: 1 addition & 1 deletion notes/installation/Linux下Flume的安装.md
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Expand Up @@ -50,7 +50,7 @@ export PATH=$FLUME_HOME/bin:$PATH
修改 `flume-env.sh`,指定 JDK 的安装路径：

```shell
# Enviroment variables can be set here.
# Environment variables can be set here.
export JAVA_HOME=/usr/java/jdk1.8.0_201
```

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2 changes: 1 addition & 1 deletion notes/installation/基于Zookeeper搭建Hadoop高可用集群.md
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Expand Up @@ -356,7 +356,7 @@ scp -r /usr/app/hadoop-2.6.0-cdh5.15.2/ hadoop003:/usr/app/

### 5.2 启动Journalnode

分别到三台服务器的的 `${HADOOP_HOME}/sbin` 目录下，启动 `journalnode` 进程：
分别到三台服务器的 `${HADOOP_HOME}/sbin` 目录下，启动 `journalnode` 进程：

```shell
hadoop-daemon.sh start journalnode
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