環境:CentOS7
hive-1.1.0-cdh5.14.0
hadoop-2.6.0-cdh5.14.0
Hive JDBC配置與實作
修改$HIVE_HOIME/conf下的hive-site.xml,添加以下内容
<property>
<name>hive.server2.thrift.port</name>
<value>10000</value>
</property>
<property>
<name>hive.server2.thrift.bind.host</name>
<value>0.0.0.0</value>
</property>
設定Hiveserver2 Thrift的port和host(host設定成0.0.0.0,來接收未知來源的ip)
nohup啟動metastore和hiveserver2(當然是要先起hdfs和yarn)
nohup hive --service metastore > metastore.log 2>&1 &
nohup hive --service hiveserver2 > hiveserver2.log 2>&1 &
(可以寫在一個shell檔案裡,然後在測試環境要起hive的時候就可以偷懶了233)
jps看一下有兩個runjar那就說明沒有問題啦,或者看一下生成的日志資訊保證沒有報錯
然後使用beeline連接配接hive
[[email protected] bin]# beeline
Beeline version 1.1.0-cdh5.14.0 by Apache Hive
beeline> !connect jdbc:hive2://centos:10000
scan complete in 1ms
Connecting to jdbc:hive2://centos:10000
Enter username for jdbc:hive2://centos:10000: root
Enter password for jdbc:hive2://centos:10000: ******
Connected to: Apache Hive (version 1.1.0-cdh5.14.0)
Driver: Hive JDBC (version 1.1.0-cdh5.14.0)
Transaction isolation: TRANSACTION_REPEATABLE_READ
0: jdbc:hive2://centos:10000>
Java API 操作
建立一個Maven Project,這是用到的pom.xml,隻需要将<build>到</project>間的複制到自己的project,update一下maven project就可以了
<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>06HiveJDBCJava</groupId>
<artifactId>06HiveJDBCJava</artifactId>
<version>0.0.1-SNAPSHOT</version>
<build>
<pluginManagement>
<plugins>
<!--This plugin's configuration is used to store Eclipse m2e settings only. It has no influence on the Maven build itself.-->
<plugin>
<groupId>org.eclipse.m2e</groupId>
<artifactId>lifecycle-mapping</artifactId>
<version>1.0.0</version>
<configuration>
<lifecycleMappingMetadata>
<pluginExecutions>
<pluginExecution>
<pluginExecutionFilter>
<groupId>
org.apache.maven.plugins
</groupId>
<artifactId>
maven-compiler-plugin
</artifactId>
<versionRange>[3.1,)</versionRange>
<goals>
<goal>compile</goal>
</goals>
</pluginExecutionFilter>
<action>
<ignore></ignore>
</action>
</pluginExecution>
</pluginExecutions>
</lifecycleMappingMetadata>
</configuration>
</plugin>
</plugins>
</pluginManagement>
</build>
<repositories>
<repository>
<id>cloudera</id>
<url>https://repository.cloudera.com/artifactory/cloudera-repos/</url>
</repository>
<repository>
<id>maven</id>
<url>http://central.maven.org/maven2/</url>
</repository>
<repository>
<id>alimaven</id>
<url>http://maven.aliyun.com/nexus/content/groups/public/</url>
</repository>
</repositories>
<dependencies>
<dependency>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-resources-plugin</artifactId>
<version>2.5</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-common</artifactId>
<version>2.6.0-cdh5.14.0</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-hdfs</artifactId>
<version>2.6.0-cdh5.14.0</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-maven-plugins</artifactId>
<version>2.6.0-cdh5.14.0</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-client</artifactId>
<version>2.6.0-cdh5.14.0</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-yarn-server-resourcemanager</artifactId>
<version>2.6.0-cdh5.14.0</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-yarn-server-nodemanager</artifactId>
<version>2.6.0-cdh5.14.0</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-yarn-common</artifactId>
<version>2.6.0-cdh5.14.0</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-mapreduce-client-app</artifactId>
<version>2.6.0-cdh5.14.0</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-mapreduce-client-common</artifactId>
<version>2.6.0-cdh5.14.0</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-mapreduce-client-core</artifactId>
<version>2.6.0-cdh5.14.0</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-mapreduce-client-jobclient</artifactId>
<version>2.6.0-cdh5.14.0</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-yarn-api</artifactId>
<version>2.6.0-cdh5.14.0</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-yarn-client</artifactId>
<version>2.6.0-cdh5.14.0</version>
</dependency>
<dependency>
<groupId>org.apache.hive</groupId>
<artifactId>hive-exec</artifactId>
<version>1.1.0-cdh5.14.0</version>
</dependency>
<dependency>
<groupId>org.apache.hive</groupId>
<artifactId>hive-common</artifactId>
<version>1.1.0-cdh5.14.0</version>
</dependency>
<dependency>
<groupId>org.apache.hive</groupId>
<artifactId>hive-jdbc</artifactId>
<version>1.1.0-cdh5.14.0</version>
</dependency>
<!-- https://mvnrepository.com/artifact/org.apache.hive/hive-metastore -->
<dependency>
<groupId>org.apache.hive</groupId>
<artifactId>hive-metastore</artifactId>
<version>1.1.0-cdh5.14.0</version>
</dependency>
<!-- https://mvnrepository.com/artifact/org.apache.hive/hive-exec -->
<dependency>
<groupId>org.apache.hive</groupId>
<artifactId>hive-exec</artifactId>
<version>1.1.0-cdh5.14.0</version>
</dependency>
<dependency>
<groupId>org.apache.mrunit</groupId>
<artifactId>mrunit</artifactId>
<version>1.1.0</version>
<classifier>hadoop2</classifier>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.mockito</groupId>
<artifactId>mockito-all</artifactId>
<version>1.9.5</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<version>4.10</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>jdk.tools</groupId>
<artifactId>jdk.tools</artifactId>
<version>1.8</version>
<scope>system</scope>
<systemPath>${JAVA_HOME}/lib/tools.jar</systemPath>
</dependency>
</dependencies>
</project>
具體實作
package com.jdbc.test;
import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.PreparedStatement;
import java.sql.ResultSet;
import java.sql.SQLException;
public class HiveJDBCTest
{
//驅動,URL,使用者名,密碼,資料庫
public static final String HIVE_DRIVER="org.apache.hive.jdbc.HiveDriver";
public static final String HIVE_URL="jdbc:hive2://centos:10000";
public static final String USER_NAME="root";
public static final String PASSWORD="123456";
public static void main(String[] args) throws SQLException
{
Connection conn=null;
PreparedStatement pstmt=null,pstmt1=null;
ResultSet rs=null;
try {
//加載驅動,建立連接配接
Class.forName(HIVE_DRIVER);
conn = DriverManager.getConnection(HIVE_URL, USER_NAME, PASSWORD);
//使用PreparedStatement,這裡注意,查詢的時候使用的是executeQuery,而且會有結果集傳回其他的加載資料,創表創庫等操作用的是execute方法
pstmt1=conn.prepareStatement("load data local inpath"+"/student.txt"+"overwrite into table student");
pstmt1.execute();
pstmt = conn.prepareStatement("select * from student");
rs=pstmt.executeQuery();
//周遊輸出每一行查詢結果,注意get方法對應的字段的類型
while(rs.next()!=false)
{
System.out.println(rs.getInt(1)+" "+rs.getString(2)+" "+rs.getString(3)+" "+rs.getInt(4));
}
} catch (ClassNotFoundException e) {
e.printStackTrace();
} catch (SQLException e) {
e.printStackTrace();
}
//釋放資源
rs.close();
pstmt.close();
pstmt1.close();
conn.close();
}
}
這裡值得一提的是,這裡使用了PreparedStatement,關于這個有一篇文章寫的很詳細,這裡轉個連結
http://www.cnblogs.com/zhizhuwang/p/3513372.html