北京互联网公司大厂有哪些,seo原创工具,网络品牌营销推广,58同城会员网站怎么做Hadoop 之 Hive 搭建与使用 一.Hive 简介二.Hive 搭建1.下载2.安装1.解压并配置 HIVE2.修改 hive-site.xml3.修改 hadoop 的 core-site.xml4.启动 三.Hive 测试1.基础测试2.建库建表3.Java 连接测试1.Pom依赖2.Yarm 配置文件3.启动类4.配置类5.测试类 一.Hive 简介
Hive 是基于… Hadoop 之 Hive 搭建与使用 一.Hive 简介二.Hive 搭建1.下载2.安装1.解压并配置 HIVE2.修改 hive-site.xml3.修改 hadoop 的 core-site.xml4.启动 三.Hive 测试1.基础测试2.建库建表3.Java 连接测试1.Pom依赖2.Yarm 配置文件3.启动类4.配置类5.测试类 一.Hive 简介
Hive 是基于 Hadoop 的数据仓库工具可以提供类 SQL 查询能力
二.Hive 搭建
1.下载
Hive 官网
Hive 下载地址自选版本 MySQL Java 驱动下载 2.安装
1.解压并配置 HIVE
## 1.创建安装目录
mkdir -p /usr/local/hive
## 2.将压缩包拷贝到服务器并解压
tar zxvf apache-hive-4.0.0-alpha-2-bin.tar.gz -C /usr/local/hive/
## 3.添加环境变量并刷新
echo export HIVE_HOME/usr/local/hive/apache-hive-4.0.0-alpha-2-bin /etc/profile
echo export PATH${HIVE_HOME}/bin:${PATH} /etc/profile
source /etc/profile
## 4.进入安装目录
cd $HIVE_HOME/conf
## 5.复制 hive-env.sh.template 并修改配置
cp hive-env.sh.template hive-env.sh
echo export JAVA_HOME/usr/local/java/jdk-11.0.19 hive-env.sh
echo export HADOOP_HOME/usr/local/hadoop/hadoop-3.3.6 hive-env.sh
echo export HADOOP_CONF_DIR${HADOOP_HOME}/etc/hadoop hive-env.sh
echo export HIVE_HOME/usr/local/hive/apache-hive-4.0.0-alpha-2-bin hive-env.sh
echo export HIVE_CONF_DIR${HIVE_HOME}/conf hive-env.sh
echo export HIVE_AUX_JARS_PATH${HIVE_HOME}/lib hive-env.sh
## 6.复制 mysql-connector-j-8.0.33.jar 到 ${HIVE_HOME}/lib
tar zxvf mysql-connector-j-8.0.33.tar.gz
cp mysql-connector-j-8.0.33/mysql-connector-j-8.0.33.jar ${HIVE_HOME}/lib/
## 7.复制 cp hive-default.xml.template 并修改配置
cp hive-default.xml.template hive-site.xml2.修改 hive-site.xml
使用 MobaXterm 连接虚拟机并用文本编辑工具打开 hive-site.xml 修改注释掉同名的默认配置或参考下面信息直接修改默认配置值
同时全局替换下面两个变量值避免 hiveserver2 启动报错
1.${system:java.io.tmpdir} /tmp Linux 系统默认的临时目录
2.${system:user.name} root 本系统当前操作用户名
3.hive.server2.thrift.client.user 配置用户 root , 同时需要修改 hadoop 的 core-site.xml 为 root 配置代理信息
4.hadoop 集群搭建参考前面文章!--配置 Hive Metastore 此处使用 mysql 转义 amp;--propertynamejavax.jdo.option.ConnectionURL/namevaluejdbc:mysql://192.168.1.201:3306/hive?characterEncodingUTF8amp;createDatabaseIfNotExisttrueamp;serverTimezoneGMT%2B8amp;useSSLfalseamp;allowPublicKeyRetrievaltrue/value/propertypropertynamejavax.jdo.option.ConnectionDriverName/namevaluecom.mysql.cj.jdbc.Driver/value/propertypropertynamejavax.jdo.option.ConnectionUserName/namevalueadmin/value/propertypropertynamejavax.jdo.option.ConnectionPassword/namevalue12345678/value/propertypropertynamedatanucleus.schema.autoCreateAll/namevaluetrue/value/property!-- nn 配置主机地址/用户/密码 --propertynamehive.server2.thrift.bind.host/namevaluenn/value/propertypropertynamehive.server2.thrift.client.user/namevalueroot/valuedescriptionUsername to use against thrift client. default is anonymous/description/propertypropertynamehive.server2.thrift.client.password/namevalue123456/valuedescriptionPassword to use against thrift client. default is anonymous/description/property propertynamehive.metastore.event.db.notification.api.auth/namevaluefalse/value/propertypropertynamehive.server2.active.passive.ha.enable/namevaluetrue/value/propertypropertynamehive.metastore.warehouse.dir/namevaluehdfs://nn:9000/user/hive/warehouse/valuedescriptionhdfs 地址/description/propertypropertynamehive.metastore.schema.verification/namevaluetrue/value/propertypropertynamehive.metastore.uris/namevaluethrift://nn:9083/value/property初始化元数据 查看库 Hive 3.修改 hadoop 的 core-site.xml
## 1.进入配置目录
cd $HADOOP_HOME//etc/hadoop
## 2.修改 core-site.xml
vim core-site.xml
## 3.增加以下内容propertynamehadoop.proxyuser.root.hosts/namevalue*/value/propertypropertynamehadoop.proxyuser.root.groups/namevalue*/value/property4.启动
## 1.初始化
schematool -initSchema -dbType mysql
## 2.启动 hadoop 集群
cd $HADOOP_HOME/sbin start-all.sh
## 3.启动 hive
mkdir -p /var/log/hive
cd ${HIVE_HOME}/bin
nohup hive --service metastore 21 /var/log/hive/metastore.log
nohup hive --service hiveserver2 21 /var/log/hive/hiveserver2.log ## 4.杀死 hive 进程
kill -9 ps aux | grep hiveserver2 | grep -v grep | awk {print $2}
kill -9 ps aux | grep metastore | grep -v grep | awk {print $2}查看 Java 进程jps查看端口占用lsof -i -P -n | grep LISTEN查看默认日志tail -200f /tmp/root/hive.log日志发现一个报错java.sql.SQLException: Referencing column ACTIVE_EXECUTION_ID and referenced column SCHEDULED_EXECUTION_ID in foreign key constraint SCHEDULED_EXECUTIONS_SCHQ_ACTIVE are incompatible.
因为 MySQL 版本为 8.0.33可能导致了主外键字段类型不一致时的异常
对应初始化后的表和字段分别为
SCHEDULED_EXECUTIONS - SCHEDULED_EXECUTION_ID
SCHEDULED_QUERIES - ACTIVE_EXECUTION_ID
原来这两个字段一个为 int 一个为 bigint 统一为 bigint 后就不报错了三.Hive 测试
1.基础测试
## 1.控制台连接
hive
## 2.连接并输入用户名、密码
!connect jdbc:hive2://nn:10000
## 3.查看库
show databases;
## 4.退出
!quitUI 访问http://192.168.1.6:10002/hdfs 查看: http://192.168.1.6:9870/explorer.html#/tmp/hive/root2.建库建表
## 1.建库并设置存储位置
create database if not exists animal_db
comment This is animal database
location /hive_database/animal_db;
## 2.查看库
show databases;
## 3.切换库
use animal_db;
## 4.创建表
create table if not exists dog_tb(name string,breed string,area string,feature string)
row format delimited fields terminated by ;;
## 5.从本地文件加载数据
load data local inpath /home/dog_tb.txt into table dog_tb;
## 6.查看数据
select * from dog_tb;
## 7.删除表
drop table dog_tb;
## 7.强制删库
drop database animal_db cascade ;dog_tb.txt
bomei;small;germany;white,small
bianmu;big;scotland;clever
tugou;all;china;clever,loyalty3.Java 连接测试
1.Pom依赖
?xml version1.0 encodingUTF-8?
project xmlnshttp://maven.apache.org/POM/4.0.0xmlns:xsihttp://www.w3.org/2001/XMLSchema-instancexsi:schemaLocationhttp://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsdmodelVersion4.0.0/modelVersiongroupIdorg.example/groupIdartifactIdhive-demo/artifactIdversion1.0-SNAPSHOT/versionpropertiesmaven.compiler.source11/maven.compiler.sourcemaven.compiler.target11/maven.compiler.targetspring.version2.7.8/spring.versionproject.build.sourceEncodingUTF-8/project.build.sourceEncoding/propertiesdependenciesdependencygroupIdorg.springframework.boot/groupIdartifactIdspring-boot-starter-web/artifactIdversion${spring.version}/version/dependencydependencygroupIdorg.projectlombok/groupIdartifactIdlombok/artifactIdversion1.18.28/version/dependencydependencygroupIdcom.alibaba/groupIdartifactIdfastjson/artifactIdversion2.0.32/version/dependencydependencygroupIdorg.apache.hive/groupIdartifactIdhive-jdbc/artifactIdversion4.0.0-alpha-2/version/dependencydependencygroupIdorg.apache.hadoop/groupIdartifactIdhadoop-common/artifactIdversion3.3.6/version/dependency/dependencies/project2.Yarm 配置文件
config:hivedriverClassName: org.apache.hive.jdbc.HiveDriverhiveurl: jdbc:hive2://192.168.1.6:10000/animal_dbhiveusername: roothivepassword: 1234563.启动类
package org.example;import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;/*** author Administrator*/
SpringBootApplication
public class HiveApp {public static void main(String[] args) {//启动触发SpringApplication.run(HiveApp.class,args);}
}4.配置类
package org.example.config;import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.context.annotation.Bean;
import org.springframework.stereotype.Component;import java.sql.Connection;
import java.sql.DriverManager;
import java.util.Properties;/*** author Administrator* Description* create 2023-08-02 21:42*/
Component
public class HiveConfig {Bean(hiveProperties)ConfigurationProperties(prefix config)public Properties getConfig(){return new Properties();}Beanpublic Connection start(Qualifier(hiveProperties) Properties properties){try {String url (String) properties.get(hiveurl);String user (String) properties.get(hiveusername);String password (String) properties.get(hivepassword);Connection conn DriverManager.getConnection(url,user,password);conn.setAutoCommit(true);return conn;} catch (Exception e) {System.out.println(e);}return null;}
}
5.测试类
package org.example.controller;import lombok.extern.slf4j.Slf4j;
import org.apache.commons.lang.StringUtils;
import org.apache.hive.jdbc.HivePreparedStatement;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;import java.sql.Connection;
import java.sql.ResultSet;
import java.sql.SQLException;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;/*** author Administrator* Description* create 2023-08-02 21:42*/
Slf4j
RestController
RequestMapping(/hive)
public class HiveController {/*** 注入连接类*/AutowiredConnection conn;/*** 列*/ListString columns Arrays.asList(name,breed,area,feature);/*** 插入* throws SQLException*/GetMapping(/insert)public void insert() throws SQLException {String sql insert into dog_tb values (?,?,?,?);HivePreparedStatement pStSm (HivePreparedStatement) conn.prepareStatement(sql);pStSm.setString(1, keji);pStSm.setString(2, small);pStSm.setString(3, welsh);pStSm.setString(4, friendly);pStSm.executeUpdate();}/*** 查询* return* throws SQLException*/GetMapping(/query)public ListString query(int index,String value) throws SQLException {ListString list new ArrayList();String sql select * from dog_tb;if (index 0 StringUtils.isNotEmpty(value)){sql select * from dog_tb where name ?;}HivePreparedStatement pStSm (HivePreparedStatement) conn.prepareStatement(sql);if (index 0 StringUtils.isNotEmpty(value)){pStSm.setString(index, value);}ResultSet resultSet pStSm.executeQuery();StringBuilder builder new StringBuilder();while (resultSet.next()){builder.setLength(0);for (String col:columns){builder.append(resultSet.getString(col)).append(;);}String result builder.substring(0,builder.length()-1);list.add(result);log.info(row: {},result);}return list;}} 如果插入或查询报错可通过如下位置查询报错信息
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