Spring Boot 数据仓库与 ETL 工具集成

application.properties文件中的配置：

# 服务器端口
server.port=8080
# Hive 连接信息
spring.datasource.url=jdbc:hive2://localhost:10000/default
spring.datasource.driver-class-name=org.apache.hive.jdbc.HiveDriver
spring.datasource.username=hive
spring.datasource.password=

实体类：

public class Product {
    private Long id;
    private String productId;
    private String productName;
    private double price;
    private int sales;

    public Product() {}

    public Product(Long id, String productId, String productName, double price, int sales) {
        this.id = id;
        this.productId = productId;
        this.productName = productName;
        this.price = price;
        this.sales = sales;
    }

    // Getter 和 Setter 方法
    public Long getId() { return id; }
    public void setId(Long id) { this.id = id; }
    public String getProductId() { return productId; }
    public void setProductId(String productId) { this.productId = productId; }
    public String getProductName() { return productName; }
    public void setProductName(String productName) { this.productName = productName; }
    public double getPrice() { return price; }
    public void setPrice(double price) { this.price = price; }
    public int getSales() { return sales; }
    public void setSales(int sales) { this.sales = sales; }

    @Override
    public String toString() {
        return "Product{" +
                "id=" + id +
                ", productId='" + productId + '\'' +
                ", productName='" + productName + '\'' +
                ", price=" + price +
                ", sales=" + sales +
                '}';
    }
}

Repository 接口：

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.jdbc.core.JdbcTemplate;
import org.springframework.jdbc.core.RowMapper;
import org.springframework.stereotype.Repository;
import java.sql.ResultSet;
import java.sql.SQLException;
import java.util.List;

@Repository
public class ProductRepository {
    @Autowired
    private JdbcTemplate jdbcTemplate;

    public List<Product> getAllProducts() {
        String sql = "SELECT * FROM product";
        return jdbcTemplate.query(sql, new RowMapper<Product>() {
            @Override
            public Product mapRow(ResultSet rs, int rowNum) throws SQLException {
                Product product = new Product();
                product.setId(rs.getLong("id"));
                product.setProductId(rs.getString("product_id"));
                product.setProductName(rs.getString("product_name"));
                product.setPrice(rs.getDouble("price"));
                product.setSales(rs.getInt("sales"));
                return product;
            }
        });
    }

    public Product getProductById(Long id) {
        String sql = "SELECT * FROM product WHERE id = ?";
        return jdbcTemplate.queryForObject(sql, new Object[]{id}, new RowMapper<Product>() {
            @Override
            public Product mapRow(ResultSet rs, int rowNum) throws SQLException {
                Product product = new Product();
                product.setId(rs.getLong("id"));
                product.setProductId(rs.getString("product_id"));
                product.setProductName(rs.getString("product_name"));
                product.setPrice(rs.getDouble("price"));
                product.setSales(rs.getInt("sales"));
                return product;
            }
        });
    }

    public void addProduct(Product product) {
        String sql = "INSERT INTO product (product_id, product_name, price, sales) VALUES (?, ?, ?, ?)";
        jdbcTemplate.update(sql, product.getProductId(), product.getProductName(), product.getPrice(), product.getSales());
    }

    public void updateProduct(Product product) {
        String sql = "UPDATE product SET product_id = ?, product_name = ?, price = ?, sales = ? WHERE id = ?";
        jdbcTemplate.update(sql, product.getProductId(), product.getProductName(), product.getPrice(), product.getSales(), product.getId());
    }

    public void deleteProduct(Long id) {
        String sql = "DELETE FROM product WHERE id = ?";
        jdbcTemplate.update(sql, id);
    }
}

Service 类：

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import java.util.List;

@Service
public class ProductService {
    @Autowired
    private ProductRepository productRepository;

    public List<Product> getAllProducts() {
        return productRepository.getAllProducts();
    }

    public Product getProductById(Long id) {
        return productRepository.getProductById(id);
    }

    public void addProduct(Product product) {
        productRepository.addProduct(product);
    }

    public void updateProduct(Product product) {
        productRepository.updateProduct(product);
    }

    public void deleteProduct(Long id) {
        productRepository.deleteProduct(id);
    }
}

控制器类：

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.*;
import java.util.List;

@RestController
@RequestMapping("/api/products")
public class ProductController {
    @Autowired
    private ProductService productService;

    @GetMapping("/")
    public List<Product> getAllProducts() {
        return productService.getAllProducts();
    }

    @GetMapping("/{id}")
    public Product getProductById(@PathVariable Long id) {
        return productService.getProductById(id);
    }

    @PostMapping("/")
    public void addProduct(@RequestBody Product product) {
        productService.addProduct(product);
    }

    @PutMapping("/{id}")
    public void updateProduct(@PathVariable Long id, @RequestBody Product product) {
        product.setId(id);
        productService.updateProduct(product);
    }

    @DeleteMapping("/{id}")
    public void deleteProduct(@PathVariable Long id) {
        productService.deleteProduct(id);
    }
}

应用启动类：

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

@SpringBootApplication
public class HiveApplication {
    public static void main(String[] args) {
        SpringApplication.run(HiveApplication.class, args);
    }
}

测试类：

import org.junit.jupiter.api.Test;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.boot.test.web.client.TestRestTemplate;
import org.springframework.boot.web.server.LocalServerPort;
import static org.assertj.core.api.Assertions.assertThat;

@SpringBootTest(webEnvironment = SpringBootTest.WebEnvironment.RANDOM_PORT)
class HiveApplicationTests {
    @LocalServerPort
    private int port;

    @Autowired
    private TestRestTemplate restTemplate;

    @Test
    void contextLoads() {}

    @Test
    void testGetAllProducts() {
        List<Product> products = restTemplate.getForObject("http://localhost:" + port + "/api/products/", List.class);
        assertThat(products).isNotNull();
        assertThat(products.size()).isGreaterThanOrEqualTo(0);
    }

    @Test
    void testAddProduct() {
        Product product = new Product(null, "P001", "手机", 1000.0, 100);
        restTemplate.postForObject("http://localhost:" + port + "/api/products/", product, Product.class);
        List<Product> products = restTemplate.getForObject("http://localhost:" + port + "/api/products/", List.class);
        assertThat(products).isNotNull();
        assertThat(products.size()).isGreaterThanOrEqualTo(1);
    }
}

结论：集成 Apache Hive 的步骤包括创建 Spring Boot 项目、添加所需的依赖、配置 Apache Hive、创建数据访问层、创建业务层、创建控制器类、测试应用。

Spring Boot 与 ETL 工具的集成

Spring Boot 与 ETL 工具的集成是 Java 开发中的重要内容。

集成 Apache Spark 的步骤

步骤：

1. 创建 Spring Boot 项目。
2. 添加所需的依赖。
3. 配置 Apache Spark。
4. 创建 ETL 任务。
5. 测试应用。

示例：

pom.xml文件中的依赖：

<dependencies>
    <!-- Web 依赖 -->
    <dependency>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-web</artifactId>
    </dependency>
    <!-- Spark 依赖 -->
    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-core_2.12</artifactId>
        <version>3.1.2</version>
    </dependency>
    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-sql_2.12</artifactId>
        <version>3.1.2</version>
    </dependency>
    <!-- 测试依赖 -->
    <dependency>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-test</artifactId>
        <scope>test</scope>
    </dependency>
</dependencies>

application.properties文件中的配置：

# 服务器端口
server.port=8080
# Spark 配置
spark.master=local[*]
spark.app.name=ETLExample

ETL 任务类：

import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Row;
import org.apache.spark.sql.SparkSession;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.stereotype.Component;
import java.util.Properties;

@Component
public class ETLJob {
    @Value("${spark.master}")
    private String master;

    @Value("${spark.app.name}")
    private String appName;

    public void runETL() {
        SparkSession sparkSession = SparkSession.builder().master(master).appName(appName).getOrCreate();
        // 读取源数据
        Dataset<Row> sourceData = sparkSession.read().format("csv").option("header", "true").option("inferSchema", "true").load("src/main/resources/source-data.csv");
        // 数据转换
        Dataset<Row> transformedData = sourceData.select(
                sourceData.col("id"),
                sourceData.col("product_id"),
                sourceData.col("product_name"),
                sourceData.col("price"),
                sourceData.col("sales"
        ).filter(sourceData.col("sales").gt(100));
        // 写入目标数据
        Properties connectionProperties = new Properties();
        connectionProperties.put("user", "hive");
        connectionProperties.put("password", "");
        transformedData.write().mode("overwrite").jdbc("jdbc:hive2://localhost:10000/default", "transformed_product", connectionProperties);
        sparkSession.stop();
    }
}

控制器类：

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.*;

@RestController
@RequestMapping("/api/etl")
public class ETLController {
    @Autowired
    private ETLScheduler etlScheduler;

    @PostMapping("/run")
    public String runETL() {
        etlScheduler.runETL();
        return "ETL 任务已启动";
    }
}

调度器类：

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.scheduling.annotation.Scheduled;
import org.springframework.stereotype.Component;

@Component
public class ETLScheduler {
    @Autowired
    private ETLJob etlJob;

    @Scheduled(cron = "0 0 0 * * ?") // 每天凌晨 0 点执行
    public void runETL() {
        etlJob.runETL();
    }

    public void runETLNow() {
        etlJob.runETL();
    }
}

应用启动类：

import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.scheduling.annotation.EnableScheduling;

@SpringBootApplication
@EnableScheduling
public class ETLApplication {
    public static void main(String[] args) {
        SpringApplication.run(ETLApplication.class, args);
    }
}

测试类：

import org.junit.jupiter.api.Test;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.boot.test.web.client.TestRestTemplate;
import org.springframework.boot.web.server.LocalServerPort;
import static org.assertj.core.api.Assertions.assertThat;

@SpringBootTest(webEnvironment = SpringBootTest.WebEnvironment.RANDOM_PORT)
class ETLApplicationTests {
    @LocalServerPort
    private int port;

    @Autowired
    private TestRestTemplate restTemplate;

    @Test
    void contextLoads() {}

    @Test
    void testRunETL() {
        String response = restTemplate.postForObject("http://localhost:" + port + "/api/etl/run", null, String.class);
        assertThat(response).contains("ETL 任务已启动");
    }
}

结论：集成 Apache Spark 的步骤包括创建 Spring Boot 项目、添加所需的依赖、配置 Apache Spark、创建 ETL 任务、测试应用。

Spring Boot 的实际应用场景

在实际开发中，Spring Boot 数据仓库与 ETL 工具集成的应用场景非常广泛，如：

• 实现产品信息的 ETL 任务。
• 实现用户信息的 ETL 任务。
• 实现订单信息的 ETL 任务。
• 实现销售数据的 ETL 任务。

示例代码结构： 包含 ETLJob、ETLController、ETLScheduler 及主启动类 ETLApplication。通过定时任务或 API 触发 ETL 流程。

输出结果：

• 访问 http://localhost:8080/api/etl/run：启动 ETL 任务。
• 控制台输出：ETL 任务已启动。

结论：在实际开发中，Spring Boot 数据仓库与 ETL 工具集成的应用场景非常广泛，需要根据实际问题选择合适的数据仓库和 ETL 工具。

总结

本章我们学习了 Spring Boot 数据仓库与 ETL 工具集成，包括数据仓库的定义与特点、ETL 工具的定义与特点、Spring Boot 与数据仓库的集成、Spring Boot 与 ETL 工具的集成、Spring Boot 的实际应用场景，学会了在实际开发中处理数据仓库与 ETL 工具集成问题。其中，数据仓库的定义与特点、ETL 工具的定义与特点、Spring Boot 与数据仓库的集成、Spring Boot 与 ETL 工具的集成、Spring Boot 的实际应用场景是本章的重点内容。