[GitHub] [spark] HyukjinKwon commented on a diff in pull request #36683: [SPARK-39301][SQL][PYTHON] Leverage LocalRelation and respect Arrow batch size in createDataFrame with Arrow optimization

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

HyukjinKwon commented on code in PR #36683:
URL: https://github.com/apache/spark/pull/36683#discussion_r886719524


##########
sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala:
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@@ -2575,6 +2575,18 @@ object SQLConf {
       .booleanConf
       .createWithDefault(false)
 
+  val ARROW_LOCAL_RELATION_THRESHOLD =
+    buildConf("spark.sql.execution.arrow.localRelationThreshold")
+      .doc(
+        "When converting Arrow batches to Spark DataFrame, local collections are used in the " +
+          "driver side if the byte size of Arrow batches is smaller than this threshold. " +
+          "Otherwise, the Arrow batches are sent and deserialized to Spark internal rows " +
+          "in the executors.")
+      .version("3.4.0")
+      .bytesConf(ByteUnit.BYTE)
+      .checkValue(_ >= 0, "This value must be equal to or greater than 0.")
+      .createWithDefaultString("64MB")

Review Comment:
   ```suggestion
         .createWithDefaultString("48MB")
   ```



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