1.修改配置hive-site.xml    hadoop core-site.xml限制---参考Hive记录-部署Hive环境

2.启动hadoop

 #sh /usr/app/hadoop/sbin/start-all.sh

3.jps查看五大进程是否齐全：NameNode  DataNode NodeManager ResourceManager SecondaryNameNode
4.启动hiveserver2服务

#hive --service hiveserver2
#netstat -ant | grep 10000   #监听

5.beeline连接

#beeline
#beeline>!connect jdbc:hive2://192.168.66.66:10000
#输入用户名和密码       ###登录系统的用户名root也行，但是要有操作hadoop hive文件夹的权限
#连接成功就可以操作hive数据了

6.Java远程连接

6.1 所需包（hive-xxx.jar要与服务器上的hive版本一致）

6.2 src下新建log4j.properties

-------------------------------------------------------
inceptor.root.logger=INFO,RFA
inceptor.log.dir=/usr/app/hive/logs
inceptor.log.file=spark.log# Define the root logger to the system property "hadoop.root.logger".
log4j.rootLogger=${inceptor.root.logger}# Set everything to be logged to the console
log4j.appender.console=org.apache.log4j.ConsoleAppender
log4j.appender.console.target=System.err
log4j.appender.console.layout=org.apache.log4j.PatternLayout
log4j.appender.console.layout.ConversionPattern=%d{yy/MM/dd HH:mm:ss} %p %c: %m%n# output to file
log4j.appender.RFA=org.apache.log4j.RollingFileAppender
log4j.appender.RFA.File=${inceptor.log.dir}/${inceptor.log.file}
# The MaxFileSize can be 512KB
log4j.appender.RFA.MaxFileSize=10MB
# Keep three backup files.
log4j.appender.RFA.MaxBackupIndex=1024
# Pattern to output: date priority [category] - message
log4j.appender.RFA.layout=org.apache.log4j.PatternLayout
log4j.appender.RFA.layout.ConversionPattern=%d{yy/MM/dd HH:mm:ss} %p %c: %m%n# Ignore messages below warning level from Jetty, because it's a bit verbose
log4j.logger.org.eclipse.jetty=WARN

6.3  ToHive.java

package hive;import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.ResultSet;
import java.sql.SQLException;
import java.sql.Statement;public class ToHive {private static String driverName = "org.apache.hive.jdbc.HiveDriver";public boolean run() {try {Class.forName(driverName);Connection con = null;//端口号默认为10000，根据实际情况修改；//用户名：root，密码：1(登录linux系统)con = DriverManager.getConnection("jdbc:hive2://192.168.66.66:10000/siat", "root", "1");Statement stmt = con.createStatement();ResultSet res = null;String sql = "select count(*) from test";System.out.println("Running: " + sql);res = stmt.executeQuery(sql);System.out.println("ok");while (res.next()) {System.out.println(res.getString(1));}return true;} catch (Exception e) {e.printStackTrace();System.out.println("error");return false;}}public static void main(String[] args) throws SQLException {ToHive hiveJdbcClient = new ToHive();hiveJdbcClient.run();}}

6.4 右键执行-提交任务给hadoop进行计算返回结果