shardulm94 opened a new pull request #1957:
URL: https://github.com/apache/iceberg/pull/1957


   Make it easier to find out exactly which file was being read when we 
encountered an error either opening the task or when reading rows from the task
   
   Heres an example of how it looks now
   ```
   Exception: Error reading file: hdfs://namenode/table/path/part-r-00001.orc
        at 
org.apache.iceberg.spark.source.BaseDataReader.next(BaseDataReader.java:97)
        at 
org.apache.spark.sql.execution.datasources.v2.DataSourceRDD$$anon$1.hasNext(DataSourceRDD.scala:49)
        at 
org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
        at 
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown
 Source)
        at 
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
        at 
org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$12$$anon$1.hasNext(WholeStageCodegenExec.scala:634)
        at 
org.apache.spark.sql.execution.SparkPlan$$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$$anonfun$apply$25.apply(RDD.scala:830)
        at 
org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:830)
        at 
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
        at 
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
        at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
        at org.apache.spark.scheduler.Task.run(Task.scala:109)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:429)
        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)
   Caused by: java.lang.IllegalArgumentException: Can not promote LONG type to 
INTEGER
        at 
org.apache.iceberg.relocated.com.google.common.base.Preconditions.checkArgument(Preconditions.java:441)
        at 
org.apache.iceberg.orc.ORCSchemaUtil.buildOrcProjection(ORCSchemaUtil.java:301)
        at 
org.apache.iceberg.orc.ORCSchemaUtil.buildOrcProjection(ORCSchemaUtil.java:275)
        at 
org.apache.iceberg.orc.ORCSchemaUtil.buildOrcProjection(ORCSchemaUtil.java:275)
        at 
org.apache.iceberg.orc.ORCSchemaUtil.buildOrcProjection(ORCSchemaUtil.java:258)
        at org.apache.iceberg.orc.OrcIterable.iterator(OrcIterable.java:97)
        at 
org.apache.iceberg.spark.source.RowDataReader.open(RowDataReader.java:100)
        at 
org.apache.iceberg.spark.source.BaseDataReader.next(BaseDataReader.java:84)
   ```


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