Java抽取Hive、HDFS元数据信息

文章目录

一、技术
二、构建SpringBoot工程
- [2.1 创建maven工程并配置 pom.xml文件](#2.1 创建maven工程并配置 pom.xml文件)
- [2.2 编写配置文件 application.yml](#2.2 编写配置文件 application.yml)
- [2.3 编写配置文件 application.propertites](#2.3 编写配置文件 application.propertites)
- [2.4 开发主启动类](#2.4 开发主启动类)
- [2.5 开发配置类](#2.5 开发配置类)
三、测试抽取Hive、HDFS元数据
四、将抽取的元数据存储到MySQL
- [4.1 引入依赖](#4.1 引入依赖)
- [4.2 配置application.yml](#4.2 配置application.yml)
- [4.3 创建元数据信息Bean](#4.3 创建元数据信息Bean)
- [4.4 定义Service](#4.4 定义Service)
- [4.5 创建Mapper](#4.5 创建Mapper)
- [4.6 测试](#4.6 测试)

一、技术

SpringBoot + Mybatis Plus

二、构建SpringBoot工程

2.1 创建maven工程并配置 pom.xml文件

xml 复制代码

<?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 http://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>2.7.17</version>
        <relativePath/> <!-- lookup parent from repository -->
    </parent>

    <groupId>com.songshuang</groupId>
    <artifactId>dwmeta</artifactId>
    <version>1.0-SNAPSHOT</version>

    <properties>
        <maven.compiler.source>8</maven.compiler.source>
        <maven.compiler.target>8</maven.compiler.target>
        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
    </properties>

    <dependencies>
        <!-- 必须 ,用于开发一个web项目-->
        <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>

        <!-- 测试必须加 -->
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-test</artifactId>
            <scope>test</scope>
        </dependency>
        <!-- 连接hive的元数据服务 -->
        <dependency>
            <groupId>org.apache.hive</groupId>
            <artifactId>hive-metastore</artifactId>
            <version>3.1.2</version>
        </dependency>

        <!-- json处理 -->
        <dependency>
            <groupId>com.alibaba</groupId>
            <artifactId>fastjson</artifactId>
            <version>1.2.72</version>
        </dependency>
    </dependencies>

</project>

2.2 编写配置文件 application.yml

null

2.3 编写配置文件 application.propertites

hive.client.uri：hive元数据服务metastore地址

hdfs.admin.user：hdfs用户

hdfs.uri：hdfs NameNode RPC端口

bash 复制代码

hive.client.uri=thrift://hadoop102:9083
hdfs.admin.user=hadoop
hdfs.uri=hdfs://hadoop102:9820

2.4 开发主启动类

java 复制代码

package com.songshuang.dga;

import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;

//当前这个类是App的主启动类
@SpringBootApplication
public class MainApp {

    public static void main(String[] args) {

        //启动app
        SpringApplication.run(MainApp.class, args);

    }
}

2.5 开发配置类

java 复制代码

import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.hive.metastore.HiveMetaStoreClient;
import org.apache.hadoop.hive.metastore.api.MetaException;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Scope;

import java.net.URI;

/*
    所有的客户端，都应该随用随建，用完就关。
 */
@Configuration
public class DgaConfig {

    @Value("${hive.client.uri}")
    private String hiveUri;

    @Bean
    @Scope("prototype")
    public HiveMetaStoreClient createHiveMetastoreClient(){

        org.apache.hadoop.conf.Configuration conf = new org.apache.hadoop.conf.Configuration();
        //客户端连接服务端，配置地址和端口
        conf.set("hive.metastore.uris",hiveUri);

        try {
            HiveMetaStoreClient client = new HiveMetaStoreClient(conf);
            return client;
        } catch (MetaException e) {
            throw new RuntimeException(e);
        }
    }

    @Value("${hdfs.admin.user}")
    private String hdfsAdmin;

    @Value("${hdfs.uri}")
    private String hdfsUri;
    @Bean
    @Scope("prototype")
    public FileSystem createHDFSClient(){

        try {
            FileSystem hdfsClient = FileSystem.get(new URI(hdfsUri), new org.apache.hadoop.conf.Configuration(), hdfsAdmin);
            return hdfsClient;
        } catch (Exception e) {
            throw new RuntimeException(e);
        }
    }
}

三、测试抽取Hive、HDFS元数据

连接Metastore服务抽取Hive元数据；连接NameNode抽取HDFS元数据；

java 复制代码

import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.FsStatus;
import org.apache.hadoop.hive.metastore.HiveMetaStoreClient;
import org.apache.thrift.TException;
import org.junit.jupiter.api.Test;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.context.ApplicationContext;

import java.io.IOException;

/**
 * @date 2024/1/29 16:27
 */

@SpringBootTest
public class MetaTest {
    @Autowired
    private ApplicationContext context;

    @Test
    public void testHiveClient() throws TException {
        HiveMetaStoreClient client = context.getBean(HiveMetaStoreClient.class);
        //获取库下所有的表
        System.out.println(client.getAllTables("dw_ods"));
        //获取某张表的元数据信息
        System.out.println(client.getTable("dw_ods", "ods_activity_info_full"));
        client.close();
    }

    @Test
    public void testHDFSClient() throws IOException {
        //1.获取hdfs客户端
        FileSystem hdfsClient = context.getBean(FileSystem.class);
        //2.遍历tableMetaInfos，为每一个TableMetaInfo补充hdfs的元数据信息
        FsStatus status = hdfsClient.getStatus();
        long capacity = status.getCapacity();
        long remaining = status.getRemaining();
        long used = status.getUsed();
        System.out.println("capacity：" + capacity + "remaining：" + remaining + "used：" + used );
    }
}

四、将抽取的元数据存储到MySQL

4.1 引入依赖

xml 复制代码

        <!-- 使用springboot插件，不会和springboot的其他插件冲突了 -->
        <dependency>
            <groupId>com.alibaba</groupId>
            <artifactId>druid-spring-boot-starter</artifactId>
            <version>1.2.15</version>
        </dependency>

        <!-- 驱动 -->
        <dependency>
            <groupId>mysql</groupId>
            <artifactId>mysql-connector-java</artifactId>
            <version>8.0.27</version>
        </dependency>

        <!-- 动态数据源切换，允许使用一个注解，可以切换Dao查询的数据源
                内置了数据库连接池，会和之前配置的Druid冲突
         -->
        <dependency>
            <groupId>com.baomidou</groupId>
            <artifactId>dynamic-datasource-spring-boot-starter</artifactId>
            <version>2.5.8</version>
        </dependency>

        <!-- 注释掉mybatis，否则会冲突 -->
        <dependency>
            <groupId>com.baomidou</groupId>
            <artifactId>mybatis-plus-boot-starter</artifactId>
            <version>3.4.1</version>
        </dependency>


        <dependency>
            <groupId>com.baomidou</groupId>
            <artifactId>mybatis-plus-generator</artifactId>
            <version>3.5.3.1</version>
        </dependency>
        <dependency>
            <groupId>org.apache.velocity</groupId>
            <artifactId>velocity-engine-core</artifactId>
            <version>2.3</version>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-freemarker</artifactId>
        </dependency>

4.2 配置application.yml

yaml 复制代码

spring:
  datasource:
    dynamic:
      primary: dga #设置默认的数据源或者数据源组
      strict: false #严格匹配数据源,默认false. true未匹配到指定数据源时抛异常,false使用默认数据源
      datasource:
        dga:
          url: jdbc:mysql://mall:3306/dga?useSSL=false&useUnicode=true&characterEncoding=UTF-8
          username: root
          password: "123456"
          driver-class-name: com.mysql.cj.jdbc.Driver
          druid:
            initial-size: 5
            max-active: 20
            max-wait: 60000
            min-idle: 5
            test-on-borrow: true
            test-on-return: false
            test-while-idle: true
  autoconfigure:
    exclude: com.alibaba.druid.spring.boot.autoconfigure.DruidDataSourceAutoConfigure

mybatis-plus:
  mapper-locations: classpath*:/sqls/*Mapper.xml
  configuration:
    mapUnderscoreToCamelCase: true

logging:
  level:
    com:
      songshuang:
        dga:
          meta:
            mapper: debug

server:
  port: 80

4.3 创建元数据信息Bean

java 复制代码

import com.baomidou.mybatisplus.annotation.IdType;
import com.baomidou.mybatisplus.annotation.TableId;
import com.baomidou.mybatisplus.annotation.TableName;
import java.io.Serializable;
import java.sql.Timestamp;
import lombok.AllArgsConstructor;
import lombok.Data;
import lombok.NoArgsConstructor;

/**
 * <p>
 * 元数据表附加信息
 * </p>
 *
 * @since 2024-01-29
 */
@Data
@NoArgsConstructor
@AllArgsConstructor
@TableName("table_meta_info_extra")
public class TableMetaInfoExtra implements Serializable {

    private static final long serialVersionUID = 1L;

    /**
     * id
     */
    @TableId(value = "id", type = IdType.AUTO)
    private Long id;

    /**
     * 表名
     */
    private String tableName;

    /**
     * 库名
     */
    private String schemaName;

    /**
     * 技术负责人
     */
    private String tecOwnerUserName;

    /**
     * 业务负责人
     */
    private String busiOwnerUserName;

    /**
     * 存储周期类型
     */
    private String lifecycleType;

    /**
     * 生命周期(天)
     */
    private Long lifecycleDays;

    /**
     * 安全级别
     */
    private String securityLevel;

    /**
     * 数仓所在层级
     */
    private String dwLevel;

    /**
     * 创建时间 (自动生成)
     */
    private Timestamp createTime;

    /**
     * 更新时间  (自动生成)
     */
    private Timestamp updateTime;
}

4.4 定义Service

java 复制代码

import com.baomidou.mybatisplus.extension.service.IService;
import com.songshuang.dga.meta.bean.TableMetaInfoExtra;
import org.apache.hadoop.hive.metastore.api.MetaException;

public interface TableMetaInfoExtraService extends IService<TableMetaInfoExtra> {

    //生成所有表的辅助信息。
    void initMetaInfoExtra(String db) throws MetaException;

}

java 复制代码

import com.songshuang.dga.config.MetaConstant;
import com.songshuang.dga.meta.bean.TableMetaInfoExtra;
import com.songshuang.dga.meta.mapper.TableMetaInfoExtraMapper;
import com.songshuang.dga.meta.service.TableMetaInfoExtraService;
import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
import org.apache.commons.lang3.RandomUtils;
import org.apache.hadoop.hive.metastore.HiveMetaStoreClient;
import org.apache.hadoop.hive.metastore.api.MetaException;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.context.ApplicationContext;
import org.springframework.stereotype.Service;

import java.sql.Timestamp;
import java.util.List;
import java.util.Set;
import java.util.stream.Collectors;

/**
 * <p>
 * 元数据表附加信息 服务实现类
 * </p>
 *
 * @since 2024-01-29
 */
@Service
public class TableMetaInfoExtraServiceImpl extends ServiceImpl<TableMetaInfoExtraMapper, TableMetaInfoExtra> implements TableMetaInfoExtraService {

    @Autowired
    private ApplicationContext context;
    /*
        辅助信息不经常变动。
            只有当你去创建新表的时候，才需要想数据库中写入新表的辅助信息。
            如果一张表已经有了辅助信息，无需写入

            调用initMetaInfoExtra()，只需要写入新表(今天刚创建表的元数据信息)
     */
    @Override
    public void initMetaInfoExtra(String db) throws MetaException {

        //查询当前db中的新表
        //第一步: 先查询table_meta_info_extra中当前db已经有信息的表。 老表
        Set<String> existsTableNames = list(new QueryWrapper<TableMetaInfoExtra>().eq("schema_name", db))
                .stream()
                .map(info -> info.getTableName())
                .collect(Collectors.toSet());

        //第二步: 查询db下所有的表，根据老表，过滤得到新表
        HiveMetaStoreClient client = context.getBean(HiveMetaStoreClient.class);
        List<String> allTables = client.getAllTables(db);
        List<String> newTables = allTables.stream()
                .filter(name -> !existsTableNames.contains(name))
                .collect(Collectors.toList());

        //为新表生成辅助信息，存入到数据库中
        List<TableMetaInfoExtra> infos = newTables.stream()
                .map(name -> {
                    TableMetaInfoExtra extra = new TableMetaInfoExtra();
                    extra.setSchemaName(db);
                    extra.setTableName(name);
                    //其他的信息应该由员工手动录入，这里为了后续方便，初始化一些默认值，假设员工已经录入了
                    initExtraInfo(extra);
                    extra.setCreateTime(new Timestamp(System.currentTimeMillis()));
                    return extra;
                })
                .collect(Collectors.toList());

        saveBatch(infos);

    }

    private void initExtraInfo(TableMetaInfoExtra extra) {

        String [] bon = {"张三","李四","王五","赵六"};
        String [] ton = {"张小三","李中四","王大五","赵老六"};

        extra.setBusiOwnerUserName(bon[RandomUtils.nextInt(0,bon.length)]);
        extra.setTecOwnerUserName(ton[RandomUtils.nextInt(0,ton.length)]);
        extra.setLifecycleType(MetaConstant.LIFECYCLE_TYPE_UNSET);
        extra.setLifecycleDays(-1l);
        extra.setSecurityLevel(MetaConstant.SECURITY_LEVEL_UNSET);
        extra.setDwLevel(extra.getTableName().substring(0,3).toUpperCase());
    }
}

4.5 创建Mapper

java 复制代码

import com.baomidou.mybatisplus.core.mapper.BaseMapper;
import com.songshuang.dga.meta.bean.TableMetaInfoExtra;
import org.apache.ibatis.annotations.Mapper;

/**
 * @date 2024/1/29 19:44
 */
@Mapper
public interface TableMetaInfoExtraMapper extends BaseMapper<TableMetaInfoExtra> {
}

4.6 测试

java 复制代码

    @Autowired
    private TableMetaInfoExtraService extraService;
    @Test
    public void testExtraInfo() throws Exception {
        extraService.initMetaInfoExtra("dw_ods");
    }