diff --git a/core/src/main/scala/org/apache/spark/internal/config/package.scala b/core/src/main/scala/org/apache/spark/internal/config/package.scala
index 4a2281a4e8785..c8bfa6f519faf 100644
--- a/core/src/main/scala/org/apache/spark/internal/config/package.scala
+++ b/core/src/main/scala/org/apache/spark/internal/config/package.scala
@@ -1037,7 +1037,7 @@ package object config {
       .doc("When true, HadoopRDD/NewHadoopRDD will not create partitions for empty input splits.")
       .version("2.3.0")
       .booleanConf
-      .createWithDefault(false)
+      .createWithDefault(true)
 
   private[spark] val SECRET_REDACTION_PATTERN =
     ConfigBuilder("spark.redaction.regex")
diff --git a/docs/core-migration-guide.md b/docs/core-migration-guide.md
index 232b9e31adb88..e243b14526814 100644
--- a/docs/core-migration-guide.md
+++ b/docs/core-migration-guide.md
@@ -24,6 +24,8 @@ license: |
 
 ## Upgrading from Core 3.1 to 3.2
 
+- Since Spark 3.2, `spark.hadoopRDD.ignoreEmptySplits` is set to `true` by default which means Spark will not create empty partitions for empty input splits. To restore the behavior before Spark 3.2, you can set `spark.hadoopRDD.ignoreEmptySplits` to `false`.
+
 - Since Spark 3.2, `spark.eventLog.compression.codec` is set to `zstd` by default which means Spark will not fallback to use `spark.io.compression.codec` anymore.
 
 - Since Spark 3.2, `spark.storage.replication.proactive` is enabled by default which means Spark tries to replenish in case of the loss of cached RDD block replicas due to executor failures. To restore the behavior before Spark 3.2, you can set `spark.storage.replication.proactive` to `false`.