scala null point exception while creating a dataframe - scala

Question

I'm trying to read files from a location and load it into a spark dataframe. The below code works correctly:
val tempDF:DataFrame=spark.read.orc(targetDirectory)
When I try to provide the schema for the same, the code fails with the issue:
Exception in thread "main" org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 4 times, most recent failure: Lost task 0.3 in stage 0.0 (TID 3, brdn6136.target.com, executor 25): java.lang.NullPointerException
at org.apache.spark.sql.execution.datasources.orc.OrcColumnVector.getDouble(OrcColumnVector.java:152)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$10$$anon$1.hasNext(WholeStageCodegenExec.scala:614)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:253)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:247)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:836)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:836)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:49)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:49)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:109)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Below is the code I used:
val schema = StructType(
List(
StructField("Col1",DoubleType,true),
StructField("Col2",StringType,true),
StructField("Col3",DoubleType,true),
StructField("Col4",DoubleType,true),
StructField("Col5",DoubleType,true),
StructField("Col6",StringType,true),
StructField("Col7",StringType,true),
StructField("Col8",StringType,true),
StructField("Col9",StringType,true),
StructField("Col10",StringType,true),
StructField("Col11",StringType,true),
StructField("Col12",StringType,true)
)
)
val df:DataFrame=spark.read.format("orc")
.schema(schema)
.load(targetReadDirectory)
Can anyone please help me to resolve the issue ?