[SPARK-16060][SQL] Support Vectorized ORC Reader

## What changes were proposed in this pull request?

This PR adds an ORC columnar-batch reader to native `OrcFileFormat`. Since both Spark `ColumnarBatch` and ORC `RowBatch` are used together, it is faster than the current Spark implementation. This replaces the prior PR, #17924.

Also, this PR adds `OrcReadBenchmark` to show the performance improvement.

## How was this patch tested?

Pass the existing test cases.

Author: Dongjoon Hyun <dongjoon@apache.org>

Closes #19943 from dongjoon-hyun/SPARK-16060.

sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala

@@ -386,6 +386,11 @@ object SQLConf {
     .checkValues(Set("hive", "native"))
     .createWithDefault("native")
 
+  val ORC_VECTORIZED_READER_ENABLED = buildConf("spark.sql.orc.enableVectorizedReader")
+    .doc("Enables vectorized orc decoding.")
+    .booleanConf
+    .createWithDefault(true)
+
   val ORC_FILTER_PUSHDOWN_ENABLED = buildConf("spark.sql.orc.filterPushdown")
     .doc("When true, enable filter pushdown for ORC files.")
     .booleanConf
@@ -1183,6 +1188,8 @@ class SQLConf extends Serializable with Logging {
 
   def orcCompressionCodec: String = getConf(ORC_COMPRESSION)
 
+  def orcVectorizedReaderEnabled: Boolean = getConf(ORC_VECTORIZED_READER_ENABLED)
+
   def parquetCompressionCodec: String = getConf(PARQUET_COMPRESSION)
 
   def parquetVectorizedReaderEnabled: Boolean = getConf(PARQUET_VECTORIZED_READER_ENABLED)