HBase实战（4）：使用JAVA操作分布式集群HBASE，
HBase实战（4）：使用JAVA操作分布式集群HBASE
Hbase开发测试程序在windows 10的IDEA中，Vmvare虚拟机部署Hadoop、hbase等集群，虚拟机操作系统linux。将通过windows本地IDEA连接虚拟机的Hbase系统，进行操作。
1，更改C:\Windows\System32\drivers\etc 的HOSTS文件
192.168.189.1 master
192.168.189.2 worker1
192.168.189.3 worker2
192.168.189.4 worker3Microsoft Windows [版本 10.0.16299.371]
(c) 2017 Microsoft Corporation。保留所有权利。
C:\Users\lenovo>ping master
正在 Ping master [192.168.189.1] 具有 32 字节的数据:
来自 192.168.189.1 的回复: 字节=32 时间<1ms TTL=64
来自 192.168.189.1 的回复: 字节=32 时间<1ms TTL=64
192.168.189.1 的 Ping 统计信息:
数据包: 已发送 = 2，已接收 = 2，丢失 = 0 (0% 丢失)，
往返行程的估计时间(以毫秒为单位):
最短 = 0ms，最长 = 0ms，平均 = 0ms
Control-C
^C
C:\Users\lenovo>ping worker1
正在 Ping worker1 [192.168.189.2] 具有 32 字节的数据:
来自 192.168.189.2 的回复: 字节=32 时间<1ms TTL=64
来自 192.168.189.2 的回复: 字节=32 时间<1ms TTL=64
来自 192.168.189.2 的回复: 字节=32 时间<1ms TTL=64
来自 192.168.189.2 的回复: 字节=32 时间<1ms TTL=64
192.168.189.2 的 Ping 统计信息:
数据包: 已发送 = 4，已接收 = 4，丢失 = 0 (0% 丢失)，
往返行程的估计时间(以毫秒为单位):
最短 = 0ms，最长 = 0ms，平均 = 0ms
C:\Users\lenovo>ping worker3
正在 Ping worker3 [192.168.189.4] 具有 32 字节的数据:
来自 192.168.189.4 的回复: 字节=32 时间<1ms TTL=64
来自 192.168.189.4 的回复: 字节=32 时间<1ms TTL=64
来自 192.168.189.4 的回复: 字节=32 时间<1ms TTL=64
来自 192.168.189.4 的回复: 字节=32 时间<1ms TTL=64
192.168.189.4 的 Ping 统计信息:
数据包: 已发送 = 4，已接收 = 4，丢失 = 0 (0% 丢失)，
往返行程的估计时间(以毫秒为单位):
最短 = 0ms，最长 = 0ms，平均 = 0ms
C:\Users\lenovo>2，新建maven项目，编写pom.xml文件。下载HBASE的依赖包。
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<groupId>noc_hbase_test</groupId>
<artifactId>noc_hbase_test</artifactId>
<version>1.0-SNAPSHOT</version>
<properties>
<scala.version>2.11.8</scala.version>
<spark.version>2.2.1</spark.version>
<jedis.version>2.8.2</jedis.version>
<fastjson.version>1.2.14</fastjson.version>
<jetty.version>9.2.5.v20141112</jetty.version>
<container.version>2.17</container.version>
<java.version>1.8</java.version>
<hbase.version>1.2.0</hbase.version>
</properties>
<repositories>
<repository>
<id>scala-tools.org</id>
<name>Scala-Tools Maven2 Repository</name>
<url>http://scala-tools.org/repo-releases</url>
</repository>
</repositories>
<pluginRepositories>
<pluginRepository>
<id>scala-tools.org</id>
<name>Scala-Tools Maven2 Repository</name>
<url>http://scala-tools.org/repo-releases</url>
</pluginRepository>
</pluginRepositories>
<dependencies>
<!-- https://mvnrepository.com/artifact/org.apache.hbase/hbase -->
<!-- https://mvnrepository.com/artifact/org.apache.hbase/hbase -->
<!-- hbase依赖包 -->
<dependency>
<groupId>org.apache.hbase</groupId>
<artifactId>hbase-client</artifactId>
<version>${hbase.version}</version>
<exclusions>
<exclusion>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-log4j12</artifactId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>org.apache.hbase</groupId>
<artifactId>hbase-common</artifactId>
<version>${hbase.version}</version>
<exclusions>
<exclusion>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-log4j12</artifactId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>org.apache.hbase</groupId>
<artifactId>hbase-server</artifactId>
<version>${hbase.version}</version>
<exclusions>
<exclusion>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-log4j12</artifactId>
</exclusion>
</exclusions>
</dependency>
<!-- https://mvnrepository.com/artifact/org.apache.hadoop/hadoop-common -->
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-common</artifactId>
<version>2.6.0</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-client</artifactId>
<version>2.6.0</version>
</dependency>
<!-- https://mvnrepository.com/artifact/org.apache.hadoop/hadoop-hdfs -->
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-hdfs</artifactId>
<version>2.6.0</version>
</dependency>
</dependencies>
<build>
<plugins>
<plugin>
<artifactId>maven-assembly-plugin</artifactId>
<configuration>
<classifier>dist</classifier>
<appendAssemblyId>true</appendAssemblyId>
<descriptorRefs>
<descriptor>jar-with-dependencies</descriptor>
</descriptorRefs>
</configuration>
<executions>
<execution>
<id>make-assembly</id>
<phase>package</phase>
<goals>
<goal>single</goal>
</goals>
</execution>
</executions>
</plugin>
<plugin>
<artifactId>maven-compiler-plugin</artifactId>
<configuration>
<source>1.7</source>
<target>1.7</target>
</configuration>
</plugin>
<plugin>
<groupId>net.alchim31.maven</groupId>
<artifactId>scala-maven-plugin</artifactId>
<version>3.2.2</version>
<executions>
<execution>
<id>scala-compile-first</id>
<phase>process-resources</phase>
<goals>
<goal>compile</goal>
</goals>
</execution>
</executions>
<configuration>
<scalaVersion>${scala.version}</scalaVersion>
<recompileMode>incremental</recompileMode>
<useZincServer>true</useZincServer>
<args>
<arg>-unchecked</arg>
<arg>-deprecation</arg>
<arg>-feature</arg>
</args>
<jvmArgs>
<jvmArg>-Xms1024m</jvmArg>
<jvmArg>-Xmx1024m</jvmArg>
</jvmArgs>
<javacArgs>
<javacArg>-source</javacArg>
<javacArg>${java.version}</javacArg>
<javacArg>-target</javacArg>
<javacArg>${java.version}</javacArg>
<javacArg>-Xlint:all,-serial,-path</javacArg>
</javacArgs>
</configuration>
</plugin>
<plugin>
<groupId>org.antlr</groupId>
<artifactId>antlr4-maven-plugin</artifactId>
<version>4.3</version>
<executions>
<execution>
<id>antlr</id>
<goals>
<goal>antlr4</goal>
</goals>
<phase>none</phase>
</execution>
</executions>
<configuration>
<outputDirectory>src/test/java</outputDirectory>
<listener>true</listener>
<treatWarningsAsErrors>true</treatWarningsAsErrors>
</configuration>
</plugin>
</plugins>
</build>
</project>3.在IDEA项目下面放上linux环境配置hadoop和hbase配置文件，hbase-site.xml和hdfs-site.xml.
hbase-site.xml
<configuration>
<property>
<name>hbase.rootdir</name>
<value>hdfs://master:9000/hbase</value>
</property>
<property>
<name>hbase.cluster.distributed</name>
<value>true</value>
</property>
<property>
<name>hbase.zookeeper.quorum</name>
<value>192.168.189.1:2181,192.168.189.2:2181,192.168.189.3:2181</value>
</property>
<property>
<name>hbase.master.info.port</name>
<value>60010</value>
</property>
</configuration>
<configuration>
<property>
<name>dfs.replication</name>
<value>3</value>
</property>
<property>
<name>dfs.namenode.name.dir</name>
<value>/usr/local/hadoop-2.6.0/tmp/dfs/name</value>
</property>
<property>
<name>dfs.datanode.data.dir</name>
<value> /usr/local/hadoop-2.6.0/tmp/dfs/data</value>
</property>
</configuration>package HbaseTest;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.HTableDescriptor;
import org.apache.hadoop.hbase.client.Connection;
import org.apache.hadoop.hbase.client.Admin;
import java.io.IOException;
public class HbaseMyTest {
public static Configuration configuration;
public static Connection connection;
public static Admin admin;
public static void main(String[] args) throws IOException {
listTables();
}
public static void listTables() throws IOException {
HbaseUtils.init();
HTableDescriptor hTableDescriptors[] = admin.listTables();
for (HTableDescriptor hTableDescriptor : hTableDescriptors) {
System.out.println("IDEA本地程序查询Hbase的表名： "+hTableDescriptor.getNameAsString());
}
HbaseUtils.close();
}
}
package HbaseTest;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.client.ConnectionFactory;
import java.io.IOException;
public class HbaseUtils {
public static void init() {
HbaseMyTest.configuration = HBaseConfiguration.create();
HbaseMyTest.configuration.set("hbase.zookeeper.property.clientPort", "2181");
HbaseMyTest.configuration.set("hbase.zookeeper.quorum", "192.168.189.1,192.168.189.2,192.168.189.3");
HbaseMyTest.configuration.set("hbase.master", "192.168.189.1:60000");
try {
HbaseMyTest.connection = ConnectionFactory.createConnection(HbaseMyTest.configuration);
HbaseMyTest.admin = HbaseMyTest.connection.getAdmin();
} catch (IOException e) {
e.printStackTrace();
}
}
public static void close() {
try {
if (null != HbaseMyTest.admin)
HbaseMyTest.admin.close();
if (null != HbaseMyTest.connection)
HbaseMyTest.connection.close();
} catch (IOException e) {
e.printStackTrace();
}
}
}
运行结果为：
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