调用jdbc时发生Bluemix pyspark错误

Question

我在Bluemix的Spark服务中使用pySpark来转换我的数据中的某些内容，然后将其写入DashDB，也在Bluemix中。但是当我尝试加载数据时，我收到以下错误:

Py4JJavaError:调用o111.jdbc时发生错误。: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0在stage 4.0失败了10次，最近的失败:Task 0.9在stage 4.0 (TID 23, yp-spark-dal09-env5-0045): com.ibm.db2.jcc.am。BatchUpdateException: [jcc][t4][102][10040][4.19.26]批处理失败。提交了批处理，但批处理的单个成员上至少出现了一个异常。使用getNextException()检索特定批处理元素的异常。ERRORCODE = -4229, SQLSTATE = null

我已经尝试创建一个新的DashDB，但我收到同样的错误。然后，我试着创建另一个笔记本，但它也不能工作。我试图停止所有内核，每次只运行一个内核，行不通。

我尝试从数据帧写入数据的所有笔记本都收到相同的错误，但在相同的情况下，数据被加载，而在其他情况下则没有。

这是我用来写的代码:

for num in range(0,22):
(shared_df_first
     .select(
        Func.col('Customer').alias("CUSTOMER"),
        Func.col('Customer Environment').alias("CUST_ENV"),
        Func.col('Device').alias("DEVICE"),
        Func.col('User ID').alias("USER_ID"),
        Func.col('Date').alias("DATE"),
        Func.col('Time').alias("TIME"),
        Func.col('Requester').alias("REQUESTER"),
        Func.col('Manager').alias("MANAGER"),
        Func.col('Manager Mail').alias("MANAGER_MAIL"),
        Func.col('Ticket').alias("TICKET"),
        Func.col('Request').alias("REQUEST"),
        Func.col('Teste').alias("TESTE"),
        Func.col('Approver USERID').alias("APPROVER_USERID"),
        Func.col('Approver Name').alias("APPROVER_NAME"),
        Func.col('Period in hours').alias("PERIOD"),
        Func.col('Business Need').alias("BUSINESS_NEED"),
        Func.col('Password Periodic Changable').alias("PASSWORD_PERIODIC_CHANGABLE"),
        Func.col('Is Pre Approved?').alias("IS_PRE_APPROVED"),
        Func.col('Has Personal User ID?').alias("HAS_PERSONAL_USER_ID"),
        Func.col('Check in way').alias("CHECK_IN_WAY"),
        Func.col('SLA').alias("SLA"),
        Func.col('Invalid Business Need').alias("BUSINESS_NEED_INVALID")
    )
    .write
    .jdbc("jdbc:db2://bluemix05.bluforcloud.com:50000/BLUDB", "DASH014638.WATSON_UAT_DEV", "append", propertiesDBDash
)
print num + 1

df = ds_clean.toDF(["account_id","customer","device_name","device_os","user_id","user_id_type","creation_date","last_logon","password_is_never_expires","responsible",
                "privileges","user_id_status"])
propertiesDBDash = {
                "user":"dash014638",
                "password":"pwd"}
df.write.mode("append").jdbc("jdbc:db2://bluemix05.bluforcloud.com:50000/BLUDB", "DASH014638.DORMANT_PROD",properties=propertiesDBDash)
df = ds_clean.toDF(["REQUEST_NUMBER","TYPE_TICKET","SOLUTIONER","CUSTOMER","DELIVERY","OPEN_DATE","OPEN_TIME","CLOSE_DATE","CLOSE_TIME","SERVICE","DEVICE","PLATFORM","REQUESTER","REQUESTER_MANAGER_MAIL","SLA","ELAPSED_TIME","SLA_STATUS","URGENCY","ACTION","REQUEST_STATUS"])
propertiesDBDash = {
                "user":"dash014638",
                "password":"pwd"}
df.write.mode("append").jdbc("jdbc:db2://bluemix05.bluforcloud.com:50000/BLUDB", "DASH014638.WATSON_REQUEST_NEW",properties=propertiesDBDash)

Answer 1

看起来Bluemix没有显示dashDB检索到的所有错误。所以这里真正的问题是，因为我试图插入比dashDB中指定的数据字段大的数据。