1.向JDBC读数据

object SparkSQL02_Datasource {
  def main(args: Array[String]): Unit = {
    //创建上下文环境配置对象
    val conf: SparkConf = new SparkConf().setMaster("local[*]").setAppName("SparkSQL01_Demo")

    //创建SparkSession对象
    val spark: SparkSession = SparkSession.builder().config(conf).getOrCreate()

    import spark.implicits._

    //方式1：通用的load方法读取
    spark.read.format("jdbc")
      .option("url", "jdbc:mysql://hadoop202:3306/test")
      .option("driver", "com.mysql.jdbc.Driver")
      .option("user", "root")
      .option("password", "123456")
      .option("dbtable", "user")
      .load().show

    
    //方式2:通用的load方法读取 参数另一种形式
    spark.read.format("jdbc")
      .options(Map("url"->"jdbc:mysql://hadoop202:3306/test?user=root&password=123456",
        "dbtable"->"user","driver"->"com.mysql.jdbc.Driver")).load().show

    //方式3:使用jdbc方法读取
    val props: Properties = new Properties()
    props.setProperty("user", "root")
    props.setProperty("password", "123456")
    val df: DataFrame = spark.read.jdbc("jdbc:mysql://hadoop202:3306/test", "user", props)
    df.show

    //释放资源
    spark.stop()
  }
}

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2.向JDBC写数据

object SparkSQL03_Datasource {
  def main(args: Array[String]): Unit = {
    //创建上下文环境配置对象
    val conf: SparkConf = new SparkConf().setMaster("local[*]").setAppName("SparkSQL01_Demo")

    //创建SparkSession对象
    val spark: SparkSession = SparkSession.builder().config(conf).getOrCreate()
    import spark.implicits._

    val rdd: RDD[User2] = spark.sparkContext.makeRDD(List(User2("lisi", 20), User2("zs", 30)))
    val ds: Dataset[User2] = rdd.toDS
    //方式1：通用的方式  format指定写出类型
    ds.write
      .format("jdbc")
      .option("url", "jdbc:mysql://hadoop202:3306/test")
      .option("user", "root")
      .option("password", "123456")
      .option("dbtable", "user")
      .mode(SaveMode.Append)
      .save()

    //方式2：通过jdbc方法
    val props: Properties = new Properties()
    props.setProperty("user", "root")
    props.setProperty("password", "123456")
    ds.write.mode(SaveMode.Append).jdbc("jdbc:mysql://hadoop202:3306/test", "user", props)

    //释放资源
    spark.stop()
  }
}

case class User2(name: String, age: Long)

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