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java代码连接hive java代码连接redis集群

怎么用java编写spark链接hive的程序

返回结果 将返回结果放到spark rdd 例如: JavaSparkContext sc = new JavaSparkContext(conf);

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如何在Java中执行Hive命令或HiveQL

可以参照以下代码来实现:

String sql="show tables; select * from test_tb limit 10";  

ListString command = new ArrayListString();  

command.add("hive");  

command.add("-e");  

command.add(sql);  

ListString results = new ArrayListString();  

ProcessBuilder hiveProcessBuilder = new ProcessBuilder(command);  

hiveProcess = hiveProcessBuilder.start();  

BufferedReader br = new BufferedReader(new InputStreamReader(  

hiveProcess.getInputStream()));  

String data = null;  

while ((data = br.readLine()) != null) {  

results.add(data);  

}

hive 需要写java代码吗

如果你的项目是java项目的话,就需要使用hive提供的java api,如下代码:

import java.sql.Connection;

import java.sql.DriverManager;

import java.sql.ResultSet;

import java.sql.SQLException;

import java.sql.Statement;

import org.apache.log4j.Logger;

/**

* Hive的JavaApi

*

* 启动hive的远程服务接口命令行执行:hive --service hiveserver /dev/null 2/dev/null

*

* @author 吖大哥

*

*/

public class HiveJdbcCli {

private static String driverName = "org.apache.hadoop.hive.jdbc.HiveDriver";

private static String url = "jdbc:hive://hadoop3:10000/default";

private static String user = "hive";

private static String password = "mysql";

private static String sql = "";

private static ResultSet res;

private static final Logger log = Logger.getLogger(HiveJdbcCli.class);

public static void main(String[] args) {

Connection conn = null;

Statement stmt = null;

try {

conn = getConn();

stmt = conn.createStatement();

// 第一步:存在就先删除

String tableName = dropTable(stmt);

// 第二步:不存在就创建

createTable(stmt, tableName);

// 第三步:查看创建的表

showTables(stmt, tableName);

// 执行describe table操作

describeTables(stmt, tableName);

// 执行load data into table操作

loadData(stmt, tableName);

// 执行 select * query 操作

selectData(stmt, tableName);

// 执行 regular hive query 统计操作

countData(stmt, tableName);

} catch (ClassNotFoundException e) {

e.printStackTrace();

log.error(driverName + " not found!", e);

System.exit(1);

} catch (SQLException e) {

e.printStackTrace();

log.error("Connection error!", e);

System.exit(1);

} finally {

try {

if (conn != null) {

conn.close();

conn = null;

}

if (stmt != null) {

stmt.close();

stmt = null;

}

} catch (SQLException e) {

e.printStackTrace();

}

}

}

private static void countData(Statement stmt, String tableName)

throws SQLException {

sql = "select count(1) from " + tableName;

System.out.println("Running:" + sql);

res = stmt.executeQuery(sql);

System.out.println("执行“regular hive query”运行结果:");

while (res.next()) {

System.out.println("count ------" + res.getString(1));

}

}

private static void selectData(Statement stmt, String tableName)

throws SQLException {

sql = "select * from " + tableName;

System.out.println("Running:" + sql);

res = stmt.executeQuery(sql);

System.out.println("执行 select * query 运行结果:");

while (res.next()) {

System.out.println(res.getInt(1) + "\t" + res.getString(2));

}

}

private static void loadData(Statement stmt, String tableName)

throws SQLException {

String filepath = "/home/hadoop01/data";

sql = "load data local inpath '" + filepath + "' into table "

+ tableName;

System.out.println("Running:" + sql);

res = stmt.executeQuery(sql);

}

private static void describeTables(Statement stmt, String tableName)

throws SQLException {

sql = "describe " + tableName;

System.out.println("Running:" + sql);

res = stmt.executeQuery(sql);

System.out.println("执行 describe table 运行结果:");

while (res.next()) {

System.out.println(res.getString(1) + "\t" + res.getString(2));

}

}

private static void showTables(Statement stmt, String tableName)

throws SQLException {

sql = "show tables '" + tableName + "'";

System.out.println("Running:" + sql);

res = stmt.executeQuery(sql);

System.out.println("执行 show tables 运行结果:");

if (res.next()) {

System.out.println(res.getString(1));

}

}

private static void createTable(Statement stmt, String tableName)

throws SQLException {

sql = "create table "

+ tableName

+ " (key int, value string) row format delimited fields terminated by '\t'";

stmt.executeQuery(sql);

}

private static String dropTable(Statement stmt) throws SQLException {

// 创建的表名

String tableName = "testHive";

sql = "drop table " + tableName;

stmt.executeQuery(sql);

return tableName;

}

private static Connection getConn() throws ClassNotFoundException,

SQLException {

Class.forName(driverName);

Connection conn = DriverManager.getConnection(url, user, password);

return conn;

}

}

java连接Hive的几种方式

2、JDBC连接的方式,当然还有其他的连接方式,比如ODBC等, 这种方式很常用,可以在网上随便找到,就不再累赘了。不稳定,经常会被大数据量冲挂,不建议使用。 3、这种方式是直接利用Hive的 Driver class 来直接连接,感觉这种方式不通过JDBC,应该速度会比较快一点(未经验证)。我只是在local模式下测试过。


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