Hortonworks的开源框架SHC的使用（一）

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2. 编译源码包

(1) 解压源码包，修改项目根目录下的pom文件
根据自己使用的版本修改各组件的版本号，以下是我修改后的pom文件：

```
<groupId>com.hortonworks</groupId>
<artifactId>shc</artifactId>
<version>spark-2.3.0-hbase-1.2.6</version>
<packaging>pom</packaging>

<properties>
	<spark.version>2.3.0</spark.version>
	<hbase.version>1.2.6</hbase.version>
	<phoenix.version>4.14.0-HBase-1.2</phoenix.version>
	<java.version>1.8</java.version>
</properties>
```

说明：

• 以上内容只是我修改的部分，没有修改的我没有贴出来
• 我修改了version，那么在子模块的pom中，也要修改为一样的version
  
  

以下是我修改后的两个子模块core和examples中的pom文件，只修改了version

<parent>
    <groupId>com.hortonworks</groupId>
    <artifactId>shc</artifactId>
    <version>spark-2.3.0-hbase-1.2.6</version>
    <relativePath>../pom.xml</relativePath>
</parent>

<artifactId>shc-core</artifactId>
<version>spark-2.3.0-hbase-1.2.6</version>
<packaging>jar</packaging>
<name>HBase Spark Connector Project Core</name>

<parent>
    <groupId>com.hortonworks</groupId>
    <artifactId>shc</artifactId>
    <version>spark-2.3.0-hbase-1.2.6</version>
    <relativePath>../pom.xml</relativePath>
</parent>

<artifactId>shc-examples</artifactId>
<version>spark-2.3.0-hbase-1.2.6</version>
<packaging>jar</packaging>
<name>HBase Spark Connector Project Examples</name>

(2) 编译源码
在源码包根目录下执行mvn命令：

mvn install -DskipTests

执行成功后，你的本地maven仓库中已经有了这个项目的jar包

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3. 创建测试shc的maven工程

(1) 新建maven工程，在pom中引入我们编译好的shc-core的依赖
注意，我们只需要shc-core的依赖

<dependency>
    <groupId>com.hortonworks</groupId>
    <artifactId>shc-core</artifactId>
    <version>spark-2.3.0-hbase-1.2.6</version>
</dependency>

(2) 导入spark相关的依赖，并解决依赖冲突

# 以下spark的依赖包排除了hadoop-client包，因为与shc-core中的hadoop-client有版本冲突

<dependency>
    <groupId>org.apache.spark</groupId>
    <artifactId>spark-core_2.11</artifactId>
    <version>2.3.0</version>
    <exclusions>
        <exclusion>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-client</artifactId>
        </exclusion>
    </exclusions>
</dependency>

<dependency>
    <groupId>org.apache.spark</groupId>
    <artifactId>spark-sql_2.11</artifactId>
    <version>2.3.0</version>
    <exclusions>
        <exclusion>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-client</artifactId>
        </exclusion>
    </exclusions>
</dependency>

<dependency>
    <groupId>org.apache.spark</groupId>
    <artifactId>spark-streaming_2.11</artifactId>
    <version>2.3.0</version>
    <exclusions>
        <exclusion>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-client</artifactId>
        </exclusion>
    </exclusions>
</dependency>

<dependency>
    <groupId>org.apache.spark</groupId>
    <artifactId>spark-streaming-kafka-0-10_2.11</artifactId>
    <version>2.3.0</version>
</dependency>

# 手动引入hadoop-client的依赖
<dependency>
    <groupId>org.apache.hadoop</groupId>
    <artifactId>hadoop-client</artifactId>
    <version>2.7.6</version>
</dependency>

这里选择引入hadoop2.7.6版本的hadoop-client是因为2.7版本的hadoop可以兼容全部版本的hbase，下图为hbase官网的hadoop与hbase各版本的兼容性对照表：

(3) 引入hbase相关的依赖并解决依赖冲突
这里只需要排除掉冲突的依赖就可以了

<dependency>
    <groupId>org.apache.hbase</groupId>
    <artifactId>hbase-client</artifactId>
    <version>1.2.6</version>
    <exclusions>
        <exclusion>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-auth</artifactId>
        </exclusion>
        <exclusion>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-common</artifactId>
        </exclusion>
        <exclusion>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-mapreduce-client-core</artifactId>
        </exclusion>
        <exclusion>
            <groupId>io.netty</groupId>
            <artifactId>netty-all</artifactId>
        </exclusion>
    </exclusions>
</dependency>

<dependency>
    <groupId>org.apache.hbase</groupId>
    <artifactId>hbase-server</artifactId>
    <version>1.2.6</version>
    <exclusions>
        <exclusion>
            <groupId>io.netty</groupId>
            <artifactId>netty-all</artifactId>
        </exclusion>
    </exclusions>
</dependency>

(4) 把hdfs-site.xml、core-site.xml和hbase-site.xml放到项目的resources目录下

(5) 其他

• 我在ideal中创建的这个maven工程，加入了scala-sdk，不再赘述

• 修改了项目架构，加入了scala主程序文件夹和测试文件夹
  

  

• 配置maven相关的插件，加入scala编译插件

  <build>
  <plugins>
  
      <plugin>
          <groupId>net.alchim31.maven</groupId>
          <artifactId>scala-maven-plugin</artifactId>
          <version>3.4.2</version>
          <executions>
              <execution>
                  <id>scala-compile-first</id>
                  <phase>process-resources</phase>
                  <goals>
                      <goal>add-source</goal>
                      <goal>compile</goal>
                  </goals>
              </execution>
          </executions>
          <configuration>
              <scalaVersion>2.11.8</scalaVersion>
              <recompileMode>incremental</recompileMode>
              <useZincServer>true</useZincServer>
              <args>
                  <arg>-unchecked</arg>
                  <arg>-deprecation</arg>
                  <arg>-feature</arg>
              </args>
              <javacArgs>
                  <javacArg>-source</javacArg>
                  <javacArg>1.8</javacArg>
                  <javacArg>-target</javacArg>
                  <javacArg>1.8</javacArg>
              </javacArgs>
          </configuration>
      </plugin>
  
      <plugin>
          <groupId>org.apache.maven.plugins</groupId>
          <artifactId>maven-compiler-plugin</artifactId>
          <version>3.8.0</version>
          <executions>
              <execution>
                  <phase>compile</phase>
                  <goals>
                      <goal>compile</goal>
                  </goals>
              </execution>
          </executions>
          <configuration>
              <skip>true</skip>
              <source>1.8</source>
              <target>1.8</target>
              <encoding>UTF-8</encoding>
          </configuration>
      </plugin>
  
      <plugin>
          <groupId>org.apache.maven.plugins</groupId>
          <artifactId>maven-resources-plugin</artifactId>
          <version>3.1.0</version>
          <configuration>
              <encoding>UTF-8</encoding>
          </configuration>
      </plugin>
  
      <plugin>
          <groupId>org.apache.maven.plugins</groupId>
          <artifactId>maven-shade-plugin</artifactId>
          <version>3.1.1</version>
          <executions>
              <execution>
                  <phase>package</phase>
                  <goals>
                      <goal>shade</goal>
                  </goals>
                  <configuration>
                      <!-- 设置jar包的主类 -->
                      <!--
                      <transformers>
                          <transformer implementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer">
                              <mainClass>com.bonc.rdpe.spark.hbase.SparkToHBase</mainClass>
                          </transformer>
                      </transformers>
                      -->
                      <filters>
                          <filter>
                              <artifact>*:*</artifact>
                              <excludes>
                                  <exclude>META-INF/*.SF</exclude>
                                  <exclude>META-INF/*.DSA</exclude>
                                  <exclude>META-INF/*.RSA</exclude>
                              </excludes>
                          </filter>
                      </filters>
                  </configuration>
              </execution>
          </executions>
      </plugin>
  
  </plugins>
  </build>
  

至此，开始测试shc之前的全部准备工作就做好了！

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