Spark DataFrame write to JDBC - Can't get JDBC type for struct <date:int, day:int...>?

I am new to spark, and was trying to write a dataframe to db2 table. The error I am getting is:

Exception in thread "main" java.lang.IllegalArgumentException: Can't get JDBC type for struct <data:int, day:int, hours:int, minutes:int, month:int, seconds:int, time:bigint, timeZoneOffset:int, year:int>

My database schema is

localId <-- Integer type
effectiveDate <-- Timestamp
activityDate <-- Timestamp
inDate <-- Timestamp
outDate <-- Timestamp

I created a POJO class for my db table which goes like this

public class StowageTable {
    private long localId;
    private Date effectiveDate;
    private Date activityDate;
    private Date inDate;
    private Date outDate;
    //setters and getters
}

I then basically read a csv which has the same schema as the db table as follows:

JavaRDD<String> dataFromCSV = javaSparkContext.textFile(fileURL);
//The I create a JavaRDD of the POJO type
JavaRDD<StowageTable> dataToPOJO = dataFromCSV.map((Function<String,  StowageTable) line -> {
    String[] fields = line.split(",");
    StowageTable st = createNewStowageTable(fields);
    return st;
});
//converting the RDD to DataFrame
DataFrame stowageTableDF = sqlContext.createDataFrame(dataToPOJO, StowageTable.class);
//call jdbc persister
persistToTable(stowageTableDF);

My persistToTable(DataFrame df) method is as follows:

private void persistToTable(DataFrame df) {
    Class.forName("")//driver here
    //skipping a few lines for brevity
    df.write().mode(SaveMode.Append).jdbc(url, table, connectionProperties);
}

I found a few solutions here: Spark DataFrame write to JDBC - Can't get JDBC type for array<array<int>> and java.lang.IllegalArgumentException: Can't get JDBC type for array<string> but could not find any which addresses a date-time data type issue. Please suggest me some solution to it. I am on spark 1.6.3.