[GitHub] [spark] sunchao commented on a change in pull request #33695: [SPARK-34863][SQL] Support complex types for Parquet vectorized reader

[GitBox <gi...@apache.org>]

sunchao commented on a change in pull request #33695:
URL: https://github.com/apache/spark/pull/33695#discussion_r688658596



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File path: sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
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@@ -897,6 +897,13 @@ object SQLConf {
       .booleanConf
       .createWithDefault(true)
 
+  val PARQUET_VECTORIZED_READER_NESTED_COLUMN_ENABLED =
+    buildConf("spark.sql.parquet.enableNestedColumnVectorizedReader")
+      .doc("Enables vectorized Parquet decoding for nested columns (e.g., struct, list, map).")
+      .version("3.3.0")
+      .booleanConf
+      .createWithDefault(false)

Review comment:
       oh okay I'm fine with that too - I basically followed ORC to add a similar config here.




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