Here is the code for loading CSV file (table employee) to DataFrame of Apache Spark:

    val schema = StructType(                                                              
      Seq(                                                                                
        StructField("id", LongType),                                                      
        StructField("birthday", DateType),                                                
        StructField("firstname", StringType),                                             
        StructField("lastname", StringType),                                              
        StructField("gender", StringType),                                                
        StructField("workingdate", DateType)                                              
      )                                                                                   
    )                                                                                     
    val df = ss.read.format("csv")                                                        
      .option("header", "false")                                                          
      .option("quote", "'")                                                               
      .schema(schema)                                                                     
      .load("employees.csv")                                      
    df.show()

But after I run the jar in Spark, it report:

+----+--------+---------+--------+------+-----------+
|  id|birthday|firstname|lastname|gender|workingdate|
+----+--------+---------+--------+------+-----------+
|null|    null|     null|    null|  null|       null|
|null|    null|     null|    null|  null|       null|
|null|    null|     null|    null|  null|       null|
|null|    null|     null|    null|  null|       null|
|null|    null|     null|    null|  null|       null|
|null|    null|     null|    null|  null|       null|
|null|    null|     null|    null|  null|       null|
|null|    null|     null|    null|  null|       null|
|null|    null|     null|    null|  null|       null|
|null|    null|     null|    null|  null|       null|
|null|    null|     null|    null|  null|       null|
|null|    null|     null|    null|  null|       null|
|null|    null|     null|    null|  null|       null|
|null|    null|     null|    null|  null|       null|
|null|    null|     null|    null|  null|       null|
|null|    null|     null|    null|  null|       null|
|null|    null|     null|    null|  null|       null|
|null|    null|     null|    null|  null|       null|
|null|    null|     null|    null|  null|       null|
|null|    null|     null|    null|  null|       null|
+----+--------+---------+--------+------+-----------+

Seems data haven’t been correctly load.
After reviewed the document for CSV format carefully, I noticed that the quote in my CSV file is instead of . So I added a option in my code to let Spark recognise single quote:

    val df = ss.read.format("csv")
      .option("header", "false")
      .option("quote", "'")
      .schema(schema)
      .load("employees.csv")

This time the CSV have been read out properly.

+-----+----------+---------+-----------+------+-----------+
|   id|  birthday|firstname|   lastname|gender|workingdate|
+-----+----------+---------+-----------+------+-----------+
|10001|1953-09-02|   Georgi|    Facello|     M| 1986-06-26|
|10002|1964-06-02|  Bezalel|     Simmel|     F| 1985-11-21|
|10003|1959-12-03|    Parto|    Bamford|     M| 1986-08-28|
|10004|1954-05-01|Chirstian|    Koblick|     M| 1986-12-01|
|10005|1955-01-21|  Kyoichi|   Maliniak|     M| 1989-09-12|
|10006|1953-04-20|   Anneke|    Preusig|     F| 1989-06-02|
|10007|1957-05-23|  Tzvetan|  Zielinski|     F| 1989-02-10|
|10008|1958-02-19|   Saniya|   Kalloufi|     M| 1994-09-15|
|10009|1952-04-19|   Sumant|       Peac|     F| 1985-02-18|
|10010|1963-06-01|Duangkaew|   Piveteau|     F| 1989-08-24|
|10011|1953-11-07|     Mary|      Sluis|     F| 1990-01-22|
|10012|1960-10-04| Patricio|  Bridgland|     M| 1992-12-18|
|10013|1963-06-07|Eberhardt|     Terkki|     M| 1985-10-20|
|10014|1956-02-12|    Berni|      Genin|     M| 1987-03-11|
|10015|1959-08-19| Guoxiang|  Nooteboom|     M| 1987-07-02|
|10016|1961-05-02| Kazuhito|Cappelletti|     M| 1995-01-27|
|10017|1958-07-06|Cristinel|  Bouloucos|     F| 1993-08-03|
|10018|1954-06-19| Kazuhide|       Peha|     F| 1987-04-03|
|10019|1953-01-23|  Lillian|    Haddadi|     M| 1999-04-30|
|10020|1952-12-24|   Mayuko|    Warwick|     M| 1991-01-26|
+-----+----------+---------+-----------+------+-----------+