本文共 5063 字,大约阅读时间需要 16 分钟。
org.springframework.boot spring-boot-starter-jdbc org.springframework.data spring-data-hadoop 2.5.0.RELEASE org.apache.hive hive-jdbc 2.3.0 org.eclipse.jetty.aggregate * org.apache.tomcat tomcat-jdbc 8.5.20
hive 数据源配置项
hive.url=jdbc:hive2://172.16.0.10:10000/defaulthive.driver-class-name=org.apache.hive.jdbc.HiveDriverhive.username=hadoophive.password=
用户名是需要具有 hdfs 写入权限,密码可以不用写
如果使用 yaml 格式 application.yml 配置如下
hive: url: jdbc:hive2://172.16.0.10:10000/default driver-class-name: org.apache.hive.jdbc.HiveDriver type: com.alibaba.druid.pool.DruidDataSource username: hive password: hive
package cn.netkiller.config;import org.apache.tomcat.jdbc.pool.DataSource;import org.slf4j.Logger;import org.slf4j.LoggerFactory;import org.springframework.beans.factory.annotation.Autowired;import org.springframework.beans.factory.annotation.Qualifier;import org.springframework.context.annotation.Bean;import org.springframework.context.annotation.Configuration;import org.springframework.core.env.Environment;import org.springframework.jdbc.core.JdbcTemplate;@Configurationpublic class HiveConfig { private static final Logger logger = LoggerFactory.getLogger(HiveConfig.class); @Autowired private Environment env; @Bean(name = "hiveJdbcDataSource") @Qualifier("hiveJdbcDataSource") public DataSource dataSource() { DataSource dataSource = new DataSource(); dataSource.setUrl(env.getProperty("hive.url")); dataSource.setDriverClassName(env.getProperty("hive.driver-class-name")); dataSource.setUsername(env.getProperty("hive.username")); dataSource.setPassword(env.getProperty("hive.password")); logger.debug("Hive DataSource"); return dataSource; } @Bean(name = "hiveJdbcTemplate") public JdbcTemplate hiveJdbcTemplate(@Qualifier("hiveJdbcDataSource") DataSource dataSource) { return new JdbcTemplate(dataSource); }}
你也可以使用 DruidDataSource
package cn.netkiller.api.config; @Configuration public class HiveDataSource { @Autowired private Environment env; @Bean(name = "hiveJdbcDataSource") @Qualifier("hiveJdbcDataSource") public DataSource dataSource() { DruidDataSource dataSource = new DruidDataSource(); dataSource.setUrl(env.getProperty("hive.url")); dataSource.setDriverClassName(env.getProperty("hive.driver-class-name")); dataSource.setUsername(env.getProperty("hive.username")); dataSource.setPassword(env.getProperty("hive.password")); return dataSource; } @Bean(name = "hiveJdbcTemplate") public JdbcTemplate hiveJdbcTemplate(@Qualifier("hiveJdbcDataSource") DataSource dataSource) { return new JdbcTemplate(dataSource); }}
Hive 数据库的增删插改操作与其他数据库没有什么不同。
package cn.netkiller.web;import java.util.Iterator;import java.util.List;import java.util.Map;import org.slf4j.Logger;import org.slf4j.LoggerFactory;import org.springframework.beans.factory.annotation.Autowired;import org.springframework.beans.factory.annotation.Qualifier;import org.springframework.jdbc.core.JdbcTemplate;import org.springframework.stereotype.Controller;import org.springframework.web.bind.annotation.RequestMapping;import org.springframework.web.servlet.ModelAndView;@Controller@RequestMapping("/hive")public class HiveController { private static final Logger logger = LoggerFactory.getLogger(HiveController.class); @Autowired @Qualifier("hiveJdbcTemplate") private JdbcTemplate hiveJdbcTemplate; @RequestMapping("/create") public ModelAndView create() { StringBuffer sql = new StringBuffer("create table IF NOT EXISTS "); sql.append("HIVE_TEST"); sql.append("(KEY INT, VALUE STRING)"); sql.append("PARTITIONED BY (CTIME DATE)"); // 分区存储 sql.append("ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t' LINES TERMINATED BY '\n' "); // 定义分隔符 sql.append("STORED AS TEXTFILE"); // 作为文本存储 logger.info(sql.toString()); hiveJdbcTemplate.execute(sql.toString()); return new ModelAndView("index"); } @RequestMapping("/insert") public String insert() { hiveJdbcTemplate.execute("insert into hive_test(key, value) values('Neo','Chen')"); return "Done"; } @RequestMapping("/select") public String select() { String sql = "select * from HIVE_TEST"; List
转载地址:http://mggmb.baihongyu.com/