我是 spark 新手，并試圖將數(shù)據(jù)幀寫入 db2 表。我得到的錯誤是：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>我的數(shù)據(jù)庫架構(gòu)是localId <-- Integer typeeffectiveDate <-- TimestampactivityDate <-- TimestampinDate <-- TimestampoutDate <-- Timestamp我為我的 db 表創(chuàng)建了一個 POJO 類，如下所示public class StowageTable {    private long localId;    private Date effectiveDate;    private Date activityDate;    private Date inDate;    private Date outDate;    //setters and getters}然后，我基本上讀取了一個與 db 表具有相同架構(gòu)的 csv，如下所示：JavaRDD<String> dataFromCSV = javaSparkContext.textFile(fileURL);//The I create a JavaRDD of the POJO typeJavaRDD<StowageTable> dataToPOJO = dataFromCSV.map((Function<String,  StowageTable) line -> {    String[] fields = line.split(",");    StowageTable st = createNewStowageTable(fields);    return st;});//converting the RDD to DataFrameDataFrame stowageTableDF = sqlContext.createDataFrame(dataToPOJO, StowageTable.class);//call jdbc persisterpersistToTable(stowageTableDF);我的persistToTable(DataFrame df)方法如下：private void persistToTable(DataFrame df) {    Class.forName("")//driver here    //skipping a few lines for brevity    df.write().mode(SaveMode.Append).jdbc(url, table, connectionProperties);}我在這里找到了一些解決方案：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它解決了日期時間數(shù)據(jù)類型問題。請建議我一些解決方案。我在火花 1.6.3。