How to integrate Apache Spark with MySQL for reading database tables as a spark dataframe? [closed]

Answer 1

public static void main(String[] args) {
    Map options = new HashMap();
    options.put("url","jdbc:postgresql://:/?user=&password=");
    options.put("dbtable", "");
    JavaSparkContext sc = new JavaSparkContext(new SparkConf().setAppName("DBConnection").setMaster("local[*]"));
    SQLContext sqlContext = new org.apache.spark.sql.SQLContext(sc);
    // DataFrame jdbcDF = sqlContext.load("jdbc", options).cache();
    DataFrame jdbcDF = sqlContext.jdbc(options.get("url"),options.get("dbtable"));
    System.out.println("Data------------------->" + jdbcDF.toJSON().first());
    Row[] rows = jdbcDF.collect();
    System.out.println("Without Filter \n ------------------------------------------------- ");
    for (Row row2 : rows) {
        System.out.println(row2.toString());
    }
    System.out.println("Filter Data\n ------------------------------------------------- ");
    jdbcDF = jdbcDF.select("agency_id","route_id").where(jdbcDF.col("route_id").$less$eq(3));
    rows = jdbcDF.collect();
    for (Row row2 : rows) {
        System.out.println(row2.toString());
    }
}