SparkSQL访问MySql源

Spark环境

spark-2.3.0

添加依赖

      org.apache.spark
      spark-sql_2.11
      2.3.0



      mysql
      mysql-connector-java
      5.1.22

创建SparkSession

/**
     * SparkSession
     * 支持数据源：textFile,load,csv,json,text,format,jdbc
     * @return
     */
    public static SparkSession getSparkSession() {
        return SparkSession
                .builder()
                .appName("SparkSQL")
                .master("local[*]")
                .getOrCreate();
    }

访问Mysql方式1：

public static void test(){
        String url="jdbc:mysql://localhost:3306/sparksql?user=root&password=123456";
        String tableName="users";
        SparkSession spark= SparkUtil.getSparkSession();
        Map map=new HashMap<>();
        map.put("driver","com.mysql.jdbc.Driver");
        map.put("url",url);
        map.put("dbtable",tableName);
        map.put("fetchSize","100");

        //读取users信息
        Dataset jdbcDF = spark.read()
                .format("jdbc")
                .options(map)
                .load();

        //读取users信息,保存到users_copy表
        jdbcDF.write()
                .format("jdbc")
                .option("url", url)
                .option("dbtable", "users_copy")
                .save();
       
}

访问Mysql方式2：

public static void test2(){
        String url="jdbc:mysql://localhost:3306/sparksql";
        String tempTableName=" (select id,name from users) as u";
        SparkSession spark= SparkUtil.getSparkSession();
        Properties connectionProperties = new Properties();
        connectionProperties.put("user", "root");
        connectionProperties.put("password", "123456");
        connectionProperties.put("isolationLevel","REPEATABLE_READ");
        //读取users信息
        Dataset jdbcDF2 = spark.read()
                .jdbc(url, tempTableName, connectionProperties);
        //读取users信息，保存到users1表
        jdbcDF2.write()
                .jdbc(url, "users1", connectionProperties);

}