Hive源码调试-window环境

一、准备工作

下载Hive源码

本次案例，我们使用CDH版本，版本为：hive-1.1.0-cdh5.16.2-src.tar.gz

下载链接：http://archive.cloudera.com/cdh5/cdh/5/hive-1.1.0-cdh5.16.2-src.tar.gz

编译Hive源码

使用git-bash编译

mvn clean package -DskipTests=true -Phadoop-2

## 经过漫长的等待，出现如下界面时，表示编译成功
[INFO] Reactor Summary:
[INFO]
[INFO] Hive 1.1.0-cdh5.16.2 ............................... SUCCESS [  3.119 s]
[INFO] Hive Classifications ............................... SUCCESS [  2.406 s]
[INFO] Hive Shims Common .................................. SUCCESS [  3.327 s]
[INFO] Hive Shims 0.23 .................................... SUCCESS [  3.494 s]
[INFO] Hive Shims Scheduler ............................... SUCCESS [  2.423 s]
[INFO] Hive Shims ......................................... SUCCESS [  1.463 s]
[INFO] Hive Common ........................................ SUCCESS [  8.382 s]
[INFO] Hive Serde ......................................... SUCCESS [  8.001 s]
[INFO] Hive Metastore ..................................... SUCCESS [ 28.285 s]
[INFO] Hive Ant Utilities ................................. SUCCESS [  1.668 s]
[INFO] Spark Remote Client ................................ SUCCESS [  4.915 s]
[INFO] Hive Query Language ................................ SUCCESS [01:36 min]
[INFO] Hive Service ....................................... SUCCESS [ 22.921 s]
[INFO] Hive Accumulo Handler .............................. SUCCESS [  5.496 s]
[INFO] Hive JDBC .......................................... SUCCESS [  5.797 s]
[INFO] Hive Beeline ....................................... SUCCESS [  3.957 s]
[INFO] Hive CLI ........................................... SUCCESS [  4.060 s]
[INFO] Hive Contrib ....................................... SUCCESS [  4.321 s]
[INFO] Hive HBase Handler ................................. SUCCESS [  5.518 s]
[INFO] Hive HCatalog ...................................... SUCCESS [  1.399 s]
[INFO] Hive HCatalog Core ................................. SUCCESS [  5.933 s]
[INFO] Hive HCatalog Pig Adapter .......................... SUCCESS [  4.632 s]
[INFO] Hive HCatalog Server Extensions .................... SUCCESS [  4.477 s]
[INFO] Hive HCatalog Webhcat Java Client .................. SUCCESS [  4.903 s]
[INFO] Hive HCatalog Webhcat .............................. SUCCESS [  7.452 s]
[INFO] Hive HCatalog Streaming ............................ SUCCESS [  4.306 s]
[INFO] Hive HWI ........................................... SUCCESS [  3.461 s]
[INFO] Hive ODBC .......................................... SUCCESS [  3.061 s]
[INFO] Hive Shims Aggregator .............................. SUCCESS [  0.840 s]
[INFO] Hive TestUtils ..................................... SUCCESS [  1.077 s]
[INFO] Hive Packaging 1.1.0-cdh5.16.2 ..................... SUCCESS [  4.194 s]
[INFO] ------------------------------------------------------------------------
[INFO] BUILD SUCCESS
[INFO] ------------------------------------------------------------------------
[INFO] Total time: 04:22 min
[INFO] Finished at: 2020-04-12T18:50:46+08:00
[INFO] ------------------------------------------------------------------------

将源码导入IDEA

源码以Maven方式，导入IDEA后，等待依赖加载完成，点击Build Project编译

二、修改源码（过期）

找到hive-cli模块，在src下，新建resources目录，并标记为资源目录

拷贝集群上如下配置文件到resources目录中

core-site.xml
hdfs-site.xml
mapred-site.xml
yarn-site.xml
hive-site.xml

[注]
1. hive-site.xml 需添加 metastore 信息
	<property>
		<name>hive.metastore.uris</name>
		<value>thrift://192.168.0.50:9083</value>
	</property>
	<property>
		<name>hive.metastore.warehouse.dir</name>
		<value>/usr/hive/warehouse</value>
	</property>
2. 服务器需启动 metastore 服务
hive --service metastore -p 9083 &

运行CliDriver

控制台输出如下信息

WARNING: Hive CLI is deprecated and migration to Beeline is recommended.
hive (default)> show databases;

但我们发现输入sql语句后，回车，控制台没有响应，无任何输出

DEBUG 源码

1. step1 

.....

String dbSpaces = spacesForString(curDB);

while ((line = reader.readLine(curPrompt + "> ")) != null) {
	// .....
}

.....

2. class ConsoleReader {
	.....
	public readLine(...) {
		// .....
	}
	.....
}

DEBUG 源码到 while 循环时，我们发现，控制台输入sql后，并没有进入循环体，
我们进入 readLine 方法后发现，类名为 ConsoleReader ，查看该类发现，使用的是JLine来处理控制台输入，进一步推测 ConsoleReader 仅适用于 UNIX/MAC 系统的控制台输入，不适用于Windows 的控制台输入

修改源码

我们知道Hive选择的是JLine来处理控制台输入，因此，我们选择修改控制台输入方式为 Scanner
我们对源码做如下修改

变更前

while ((line = reader.readLine(curPrompt + "> ")) != null) {
	// ......
}

变更后

Scanner scanner = new Scanner(System.in);

while (true) {
	System.out.println(curPrompt + "> ");
	line = scanner.nextLine();
	if (null == line) {
    	break;
    }
    
    // ......
}

二、调试源码

经调试，发现cliDriver默认使用JLine客户端，在Windows环境下，只需在CliDriver运行时配置如下参数即可 -Djline.WindowsTerminal.directConsole=false

三、测试

启动CliDriver
控制台输入 show databases

输入如下日志

hive (default)> 
show databases;
OK
database_name
default
ruozedata_erp
ruozedata_erp_training
ruozedata_exam
Time taken: 0.267 seconds, Fetched: 7 row(s)

证明我们修改成功了，也证实了我们前面的推测