这周四开始试写java web，其中数据库换成了hive，我用的springbootl来集成的，简单的增查可以实现，接下来去写完整逻辑的web网站。
hive整个服务启动流程
首先是 start-all.sh 然后打开历史服务器： mapred --daemon start historyserver 最后首先启动metastore服务，然后启动hiveserver2服务 nohup bin/hive --service metastore >> logs/metastore.log 2>&1 & nohup bin/hive --service hiveserver2 >> logs/hiveserver2.log 2>&1 &
spingboot集成hive小demo
首先呢就是pom文件
<?xml version="1.0" encoding="UTF-8"?>
<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 https://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<parent>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-parent</artifactId>
<version>2.7.14</version>
<relativePath/> <!-- lookup parent from repository -->
</parent>
<groupId>com.example</groupId>
<artifactId>hive</artifactId>
<version>0.0.1-SNAPSHOT</version>
<name>hive</name>
<description>hive</description>
<properties>
<java.version>1.8</java.version>
</properties>
<dependencies>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<optional>true</optional>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-jdbc</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-thymeleaf</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<optional>true</optional>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
<!-- 德鲁伊连接池依赖 -->
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid-spring-boot-starter</artifactId>
<version>1.2.5</version>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-configuration-processor</artifactId>
<optional>true</optional>
</dependency>
<!-- 添加hive依赖 -->
<dependency>
<groupId>org.apache.hive</groupId>
<artifactId>hive-jdbc</artifactId>
<version>3.1.2</version>
<exclusions>
<exclusion>
<groupId>org.eclipse.jetty</groupId>
<artifactId>*</artifactId>
</exclusion>
<exclusion>
<groupId>org.apache.hive</groupId>
<artifactId>hive-shims</artifactId>
</exclusion>
<exclusion>
<groupId>org.glassfish</groupId>
<artifactId>javax-el</artifactId>
</exclusion>
<!--<exclusion>-->
<!--<groupId>org.slf4j</groupId>-->
<!--<artifactId>slf4j-log4j12</artifactId>-->
<!--</exclusion>-->
<exclusion>
<groupId>org.apache.logging.log4j</groupId>
<artifactId>log4j-slf4j-impl</artifactId>
</exclusion>
</exclusions>
</dependency>
</dependencies>
<build>
<plugins>
<plugin>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-maven-plugin</artifactId>
<configuration>
<excludes>
<exclude>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
</exclude>
</excludes>
</configuration>
</plugin>
</plugins>
</build>
</project>
然后是yaml文件：
hive: url: jdbc:hive2://node1:10000/db_msg（这个是你的数据库） driver-class-name: org.apache.hive.jdbc.HiveDriver type: com.alibaba.druid.pool.DruidDataSource user: hadoop password: 123456 initialSize: 1 minIdle: 3 maxActive: 20 maxWait: 60000 timeBetweenEvictionRunsMillis: 60000 minEvictableIdleTimeMillis: 30000 validationQuery: select 1 testWhileIdle: true testOnBorrow: false testOnReturn: false poolPreparedStatements: true maxPoolPreparedStatementPerConnectionSize: 20
然后是config配置文件：
package com.example.hive;
import javax.sql.DataSource;
import lombok.Data;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.jdbc.core.JdbcTemplate;
import com.alibaba.druid.pool.DruidDataSource;
@Data
@Configuration
@ConfigurationProperties(prefix = "hive")
public class HiveDruidConfig {
private String url;
private String user;
private String password;
private String driverClassName;
private int initialSize;
private int minIdle;
private int maxActive;
private int maxWait;
private int timeBetweenEvictionRunsMillis;
private int minEvictableIdleTimeMillis;
private String validationQuery;
private boolean testWhileIdle;
private boolean testOnBorrow;
private boolean testOnReturn;
private boolean poolPreparedStatements;
private int maxPoolPreparedStatementPerConnectionSize;
@Bean(name = "hiveDruidDataSource")
@Qualifier("hiveDruidDataSource")
public DataSource dataSource() {
DruidDataSource datasource = new DruidDataSource();
datasource.setUrl(url);
datasource.setUsername(user);
datasource.setPassword(password);
datasource.setDriverClassName(driverClassName);
// pool configuration
datasource.setInitialSize(initialSize);
datasource.setMinIdle(minIdle);
datasource.setMaxActive(maxActive);
datasource.setMaxWait(maxWait);
datasource.setTimeBetweenEvictionRunsMillis(timeBetweenEvictionRunsMillis);
datasource.setMinEvictableIdleTimeMillis(minEvictableIdleTimeMillis);
datasource.setValidationQuery(validationQuery);
datasource.setTestWhileIdle(testWhileIdle);
datasource.setTestOnBorrow(testOnBorrow);
datasource.setTestOnReturn(testOnReturn);
datasource.setPoolPreparedStatements(poolPreparedStatements);
datasource.setMaxPoolPreparedStatementPerConnectionSize(maxPoolPreparedStatementPerConnectionSize);
return datasource;
}
@Bean(name = "hiveDruidTemplate")
public JdbcTemplate hiveDruidTemplate(@Qualifier("hiveDruidDataSource") DataSource dataSource) {
return new JdbcTemplate(dataSource);
}
}
测试：
package com.example.hive;
import java.sql.ResultSet;
import java.sql.SQLException;
import java.sql.Statement;
import java.util.ArrayList;
import java.util.List;
import javax.sql.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.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
/**
* 使用 DataSource 操作 Hive
*/
@RestController
public class HiveDataSourceController {
private static final Logger logger = LoggerFactory.getLogger(HiveDataSourceController.class);
@Autowired
@Qualifier("hiveDruidDataSource")
DataSource druidDataSource;
/**
* 测试spring boot是否正常启动
*/
@RequestMapping("/")
public String hello(){
return "hello world";
}
/**
* 列举当前Hive库中的所有数据表
*/
@RequestMapping("/table/list")
public List<String> listAllTables() throws SQLException {
List<String> list = new ArrayList<String>();
Statement statement = druidDataSource.getConnection().createStatement();
String sql = "show tables";
logger.info("Running: " + sql);
ResultSet res = statement.executeQuery(sql);
while (res.next()) {
list.add(res.getString(1));
}
return list;
}
/**
* 查询指定tableName表中的数据
*/
@RequestMapping("/table/select")
public List<String> selectFromTable(String tableName) throws SQLException {
List<String> list = new ArrayList<String>();
Statement statement = druidDataSource.getConnection().createStatement();
String sql = "select * from " + tableName;
logger.info("Running: " + sql);
ResultSet res = statement.executeQuery(sql);
int count = res.getMetaData().getColumnCount();
String str = null;
while (res.next()) {
str = "";
for (int i = 1; i < count; i++) {
str += res.getString(i) + " ";
}
str += res.getString(count);
logger.info(str);
list.add(str);
}
return list;
}
}
标签：总结,boot,hive,springframework,datasource,import,org,数据 From： https://www.cnblogs.com/daitu66/p/17659125.html