hiveserver2&&beeline&&java client

1. hiveserver2
   -》启动
   bin/hiveserver2:前段运行
   bin/hiveserver2 & ：后台运行
   bin/hive --service hiveserver2

2. beeline（先启动hiveserver2）
   -》启动
   bin/beeline
   bin/beeline -u jdbc:hive2://hadoop01.com:10000
   -n lm -p 123456

3. java client 连接
   由于这个和j d b c差不多，所以可以参考官网，但是由于官网访问速度慢，我吧官网的内容直接拷贝下来，留作使用和查看。

---

import java.sql.SQLException;
import java.sql.Connection;
import java.sql.ResultSet;
import java.sql.Statement;
import java.sql.DriverManager;
 
public class HiveJdbcClient {
  private static String driverName = "org.apache.hive.jdbc.HiveDriver";
 
  /**
   * @param args
   * @throws SQLException
   */
  public static void main(String[] args) throws SQLException {
      try {
      Class.forName(driverName);
    } catch (ClassNotFoundException e) {
      // TODO Auto-generated catch block
      e.printStackTrace();
      System.exit(1);
    }
    //replace "hive" here with the name of the user the queries should run as
    Connection con = DriverManager.getConnection("jdbc:hive2://localhost:10000/default", "hive", "");
    Statement stmt = con.createStatement();
    String tableName = "testHiveDriverTable";
    stmt.execute("drop table if exists " + tableName);
    stmt.execute("create table " + tableName + " (key int, value string)");
    // show tables
    String sql = "show tables '" + tableName + "'";
    System.out.println("Running: " + sql);
    ResultSet res = stmt.executeQuery(sql);
    if (res.next()) {
      System.out.println(res.getString(1));
    }
       // describe table
    sql = "describe " + tableName;
    System.out.println("Running: " + sql);
    res = stmt.executeQuery(sql);
    while (res.next()) {
      System.out.println(res.getString(1) + "\t" + res.getString(2));
    }
 
    // load data into table
    // NOTE: filepath has to be local to the hive server
    // NOTE: /tmp/a.txt is a ctrl-A separated file with two fields per line
    String filepath = "/tmp/a.txt";
    sql = "load data local inpath '" + filepath + "' into table " + tableName;
    System.out.println("Running: " + sql);
    stmt.execute(sql);
 
    // select * query
    sql = "select * from " + tableName;
    System.out.println("Running: " + sql);
    res = stmt.executeQuery(sql);
    while (res.next()) {
      System.out.println(String.valueOf(res.getInt(1)) + "\t" + res.getString(2));
    }
 
    // regular hive query
    sql = "select count(1) from " + tableName;
    System.out.println("Running: " + sql);
    res = stmt.executeQuery(sql);
    while (res.next()) {
      System.out.println(res.getString(1));
    }
  }
}

Running the JDBC Sample Code
# Then on the command-line
$ javac HiveJdbcClient.java
 
# To run the program using remote hiveserver in non-kerberos mode, we need the following jars in the classpath
# from hive/build/dist/lib
#     hive-jdbc*.jar
#     hive-service*.jar
#     libfb303-0.9.0.jar
#     libthrift-0.9.0.jar
#     log4j-1.2.16.jar
#     slf4j-api-1.6.1.jar
#     slf4j-log4j12-1.6.1.jar
#     commons-logging-1.0.4.jar
#
#
# To run the program using kerberos secure mode, we need the following jars in the classpath
#     hive-exec*.jar
#     commons-configuration-1.6.jar (This is not needed with Hadoop 2.6.x and later).
#  and from hadoop
#     hadoop-core*.jar (use hadoop-common*.jar for Hadoop 2.x)
#
# To run the program in embedded mode, we need the following additional jars in the classpath
# from hive/build/dist/lib
#     hive-exec*.jar
#     hive-metastore*.jar
#     antlr-runtime-3.0.1.jar
#     derby.jar
#     jdo2-api-2.1.jar
#     jpox-core-1.2.2.jar
#     jpox-rdbms-1.2.2.jar
# and from hadoop/build
#     hadoop-core*.jar
# as well as hive/build/dist/conf, any HIVE_AUX_JARS_PATH set, 
# and hadoop jars necessary to run MR jobs (eg lzo codec)
 
$ java -cp $CLASSPATH HiveJdbcClient
Alternatively, you can run the following bash script, which will seed the data file and build your classpath before invoking the client. The script adds all the additional jars needed for using HiveServer2 in embedded mode as well.
#!/bin/bash
HADOOP_HOME=/your/path/to/hadoop
HIVE_HOME=/your/path/to/hive
 
echo -e '1\x01foo' > /tmp/a.txt
echo -e '2\x01bar' >> /tmp/a.txt
 
HADOOP_CORE=$(ls $HADOOP_HOME/hadoop-core*.jar)
CLASSPATH=.:$HIVE_HOME/conf:$(hadoop classpath)
 
for i in ${HIVE_HOME}/lib/*.jar ; do
    CLASSPATH=$CLASSPATH:$i
done
 
java -cp $CLASSPATH HiveJdbcClient
https://172.16.10.10/yoyobox/branches/mobobox-57/YOYOBoxExtra