小编baj*_*aju的帖子

我正在尝试为varray编写一些聚合函数,当我尝试将它与数据库中的数据一起使用时,我得到了这个错误代码:

ORA-00600 internal error code, arguments: [kodpunp1], [], [], [], [], [], [], [], [], [], [], []
[koxsihread1], [0], [3989], [45778], [], [], [], [], [], [], [], []

函数的代码非常简单(事实上它什么都不做):

create or replace
TYPE "TEST_VECTOR" as varray(10) of varchar(20)
 ALTER TYPE "TEST_VECTOR" MODIFY LIMIT 4000 CASCADE


create or replace
type Test as object(
  lastVector TEST_VECTOR,

  STATIC FUNCTION ODCIAggregateInitialize(sctx in out Test) return number,
MEMBER FUNCTION ODCIAggregateIterate(self in out Test, value in TEST_VECTOR) return number,
MEMBER FUNCTION ODCIAggregateMerge(self IN OUT …

当在joda DateTime字段的spark中执行简单映射时,我正在接收NullPointerException.

代码段:

val me1 = (accountId, DateTime.now())
val me2 = (accountId, DateTime.now())
val me3 = (accountId, DateTime.now())
val rdd = spark.parallelize(List(me1, me2, me3))

val result = rdd.map{case (a,d) => (a,d.dayOfMonth().roundFloorCopy())}.collect.toList

堆栈跟踪:

java.lang.NullPointerException
    at org.joda.time.DateTime$Property.roundFloorCopy(DateTime.java:2280)
    at x.y.z.jobs.info.AggJobTest$$anonfun$1$$anonfun$2.apply(AggJobTest.scala:47)
    at x.y.z.jobs.info.AggJobTest$$anonfun$1$$anonfun$2.apply(AggJobTest.scala:47)
    at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
    at scala.collection.Iterator$class.foreach(Iterator.scala:727)
    at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
    at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
    at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
    at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
    at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
    at scala.collection.AbstractIterator.to(Iterator.scala:1157)
    at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
    at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
    at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
    at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
    at org.apache.spark.rdd.RDD$$anonfun$16.apply(RDD.scala:780)
    at org.apache.spark.rdd.RDD$$anonfun$16.apply(RDD.scala:780)
    at org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1314)
    at org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1314)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
    at org.apache.spark.scheduler.Task.run(Task.scala:56)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:196)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
    at …