Spark 2.43读取.json文件入库到MySQL 8

1. 如果没有安装包,可以用我的这个

   百度网盘链接 点击进入 提取码: eku1

2. 解压之后

   

3. 准备开始配置环境变量

   
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8. 如果运行时候报错参考 (java.io.IOException: Could not locate executable nullinwinutils.exe in the Hadoop binaries.) 点击进入

9. 先看运行项目的结构

   
10. pom.xml

    <?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>
    
        <groupId>spark</groupId>
        <artifactId>spark-test</artifactId>
        <version>1.0.0-SNAPSHOT</version>
    
        <dependencies>
            <!--spark-core-->
            <dependency>
                <groupId>org.apache.spark</groupId>
                <artifactId>spark-core_2.12</artifactId>
                <version>2.4.3</version>
            </dependency>
            <!--spark-sql-->
            <dependency>
                <groupId>org.apache.spark</groupId>
                <artifactId>spark-sql_2.12</artifactId>
                <version>2.4.3</version>
            </dependency>
            <!--mysql驱动-->
            <dependency>
                <groupId>mysql</groupId>
                <artifactId>mysql-connector-java</artifactId>
                <version>8.0.17</version>
            </dependency>
        </dependencies>
    </project>

11. TestSpark.java

    package panfeng;
    
    import org.apache.spark.sql.Dataset;
    import org.apache.spark.sql.Row;
    import org.apache.spark.sql.SparkSession;
    
    import java.util.Properties;
    
    public class TestSpark
    {
    
        /*
    
        {"name":"大牛","age":"12","address":"吉林省长春市二道区临河街万兴小区4栋2门303","phone":"18935642561"}
        {"name":"二蛋","age":"26","address":"河南省郑州市金水区名字二蛋403","phone":"19658758562"}
        {"name":"三驴","age":"53","address":"安徽省阜阳市太和县陶楼村605","phone":"13245756523"}
        {"name":"四毛","age":"17","address":"天津空间室内发你手机8806","phone":"17546231544"}
        {"name":"五虎","age":"98","address":"谁都不会做哪些技能聚划算505","phone":"16523546825"}
    
        文件位置 D:EverythingIDEAProjectspark	oolsJSON_TEST.json
    */
    
        public static void main(String[] args)
        {
            SparkSession sparkSession = SparkSession.builder().master("local").appName("user").getOrCreate();
    
            //Dataset<Row> row_dataset = sparkSession.read().json("D:\Everything\IDEA\Project\spark\tools\JSON_TEST.json");//绝对路径
            //Dataset<Row> row_dataset = sparkSession.read().json("spark-test/src/main/resources/JSON_TEST.json");//相对路径
            Dataset<Row> row_dataset = sparkSession.read().json("*/src/main/resources/json/JSON_TEST.json");//*相对路径
    
            Properties properties = new Properties();
            properties.put("user", "root");
            properties.put("password", "123456");
            // *驱动不指定,系统会自动识别url
            //properties.put("driver","com.mysql.jdbc.Driver");//mysql5
            //properties.put("driver","com.mysql.cj.jdbc.Driver");//mysql8
    
    
            // *如果是本地,localhost:3306可以省略
            //row_dataset.write().mode("append").jdbc("jdbc:mysql://localhost:3306/spark_test?serverTimezone=UTC", "t_user", properties);
            // 1,无论怎样都添加
            //row_dataset.write().mode("append").jdbc("jdbc:mysql:///spark_test?serverTimezone=UTC", "t_user", properties);
            // 2,如果有重写,会覆盖以前的内容,如果没有就添加
            row_dataset.write().mode("overwrite").jdbc("jdbc:mysql:///spark_test?serverTimezone=UTC", "t_user", properties);
            sparkSession.stop();
    
            System.out.println("Complete...");
        }
    }

12. JSON_TEST.json

    {"name":"大牛","age":"12","address":"吉林省长春市二道区临河街万兴小区4栋2门303","phone":"18935642561"}
    {"name":"二蛋","age":"26","address":"河南省郑州市金水区名字二蛋403","phone":"19658758562"}
    {"name":"三驴","age":"53","address":"安徽省阜阳市太和县陶楼村605","phone":"13245756523"}
    {"name":"四毛","age":"17","address":"天津空间室内发你手机8806","phone":"17546231544"}
    {"name":"五虎","age":"98","address":"谁都不会做哪些技能聚划算505","phone":"16523546825"}