[GitHub] [spark] Kimahriman commented on a diff in pull request #39572: [SPARK-39979][SQL] Add option to use large variable width vectors for arrow UDF operations

["Kimahriman (via GitHub)" <gi...@apache.org>]

Kimahriman commented on code in PR #39572:
URL: https://github.com/apache/spark/pull/39572#discussion_r1203932635


##########
sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala:
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@@ -2825,6 +2825,16 @@ object SQLConf {
       .intConf
       .createWithDefault(10000)
 
+  val ARROW_EXECUTION_USE_LARGE_VAR_TYPES =
+    buildConf("spark.sql.execution.arrow.useLargeVarTypes")
+      .doc("When using Apache Arrow, use large variable width vectors for string and binary " +
+        "types. Regular string and binary types have a 2GiB limit for a column in a single " +
+        "record batch. Large variable types remove this limitation at the cost of higher memory " +
+        "usage per value.")
+      .version("3.4.0")

Review Comment:
   Updated



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