Duplicated project schema will cause index out of bounds exception in orc_exec

[harveyyue]

Describe the bug
A clear and concise description of what the bug is.

Table:
CREATE TABLE test_orc(
id BIGINT COMMENT 'pk',
m MAP<STRING,STRING> COMMENT 'test read map type',
l ARRAY COMMENT 'test read list type',
s STRING COMMENT 'string type'
) using orc

Sql statement:
select l from test_orc

Execute this sql will get execption as below:
`24/12/26 15:08:13 INFO BlazeCallNativeWrapper: Start executing native plan
(+398.133s) [INFO] (stage: 5, partition: 0) - start executing plan:
ProjectExec [cast(#2@0 AS Utf8) AS #65], schema=[#65:Utf8;N]
RenameColumnsExec: ["#2"], schema=[#2:List(Field { name: "item", data_type: Utf8, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} });N]
OrcExec: file_group=[PartitionedFile { object_meta: ObjectMeta { location: Path { raw: "ZmlsZTovLy9Vc2Vycy9zaDAwNzA0bWwvRG93bmxvYWRzL2Nvcy9wYXJ0LTAwMDAwLTFiNzE4YzI4LWFlYjgtNDM2My04NjFkLTg1YmUwNTlkYTM1MC1jMDAwLnNuYXBweS5vcmM" }, last_modified: 1970-01-01T00:00:00Z, size: 804, e_tag: None, version: None }, partition_values: [], range: Some(FileRange { start: 0, end: 804 }), statistics: None, extensions: None }], limit=None, projection=Some([2]), schema=[l:List(Field { name: "item", data_type: Utf8, nullable: true, dict_id: 0, dict_is_ordered: false, metadata: {} });N]

thread 'blaze-native-stage-5-part-0' panicked at native-engine/datafusion-ext-plans/src/common/execution_context.rs:285:21:
output_with_sender[OrcScan]: output() returns error: Arrow error: Schema error: project index 2 out of bounds, max field 1
thread 'blaze-native-stage-5-part-0' panicked at native-engine/datafusion-ext-plans/src/common/execution_context.rs:308:21:
output_with_sender[OrcScan] error: Execution error: output_with_sender[OrcScan]: output() returns error: Arrow error: Schema error: project index 2 out of bounds, max field 1
thread 'blaze-native-stage-5-part-0' panicked at native-engine/datafusion-ext-plans/src/common/execution_context.rs:308:21:
output_with_sender[Project] error: Execution error: output_with_sender[OrcScan] error: Execution error: output_with_sender[OrcScan]: output() returns error: Arrow error: Schema error: project index 2 out of bounds, max field 1
(+398.215s) [ERROR] (stage: 5, partition: 0) - native execution panics: Execution error: Execution error: output_with_sender[Project] error: Execution error: output_with_sender[OrcScan] error: Execution error: output_with_sender[OrcScan]: output() returns error: Arrow error: Schema error: project index 2 out of bounds, max field 1
(+398.215s) [INFO] (stage: 5, partition: 0) - task exited abnormally.
(+398.218s) [INFO] (stage: 0, partition: 0) - (partition=0) native execution finalizing
(+398.227s) [INFO] (stage: 0, partition: 0) - (partition=0) native execution finalized
24/12/26 15:08:13 ERROR Executor: Exception in task 0.0 in stage 5.0 (TID 5)
java.lang.RuntimeException: poll record batch error: Execution error: native execution panics: Execution error: Execution error: output_with_sender[Project] error: Execution error: output_with_sender[OrcScan] error: Execution error: output_with_sender[OrcScan]: output() returns error: Arrow error: Schema error: project index 2 out of bounds, max field 1
at org.apache.spark.sql.blaze.JniBridge.nextBatch(Native Method)
at org.apache.spark.sql.blaze.BlazeCallNativeWrapper$$anon$1.hasNext(BlazeCallNativeWrapper.scala:80)
at org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:31)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:345)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:131)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:497)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1439)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:500)
at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
at java.base/java.lang.Thread.run(Thread.java:834)
24/12/26 15:08:13 WARN TaskSetManager: Lost task 0.0 in stage 5.0 (TID 5) (192.168.132.23 executor driver): java.lang.RuntimeException: poll record batch error: Execution error: native execution panics: Execution error: Execution error: output_with_sender[Project] error: Execution error: output_with_sender[OrcScan] error: Execution error: output_with_sender[OrcScan]: output() returns error: Arrow error: Schema error: project index 2 out of bounds, max field 1
at org.apache.spark.sql.blaze.JniBridge.nextBatch(Native Method)
at org.apache.spark.sql.blaze.BlazeCallNativeWrapper$$anon$1.hasNext(BlazeCallNativeWrapper.scala:80)
at org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:31)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:345)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:131)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:497)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1439)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:500)
at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
at java.base/java.lang.Thread.run(Thread.java:834)`

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