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 be63c637a3a1..8dee0d970c4c 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
@@ -323,10 +323,11 @@ package object config {
 
   private[spark] val REDUCER_MAX_REQ_SIZE_SHUFFLE_TO_MEM =
     ConfigBuilder("spark.reducer.maxReqSizeShuffleToMem")
+      .internal()
       .doc("The blocks of a shuffle request will be fetched to disk when size of the request is " +
         "above this threshold. This is to avoid a giant request takes too much memory.")
       .bytesConf(ByteUnit.BYTE)
-      .createWithDefaultString("200m")
+      .createWithDefault(Long.MaxValue)
 
   private[spark] val TASK_METRICS_TRACK_UPDATED_BLOCK_STATUSES =
     ConfigBuilder("spark.taskMetrics.trackUpdatedBlockStatuses")
diff --git a/docs/configuration.md b/docs/configuration.md
index c8e61537a457..bd6a1f9e240e 100644
--- a/docs/configuration.md
+++ b/docs/configuration.md
@@ -528,14 +528,6 @@ Apart from these, the following properties are also available, and may be useful
     By allowing it to limit the number of fetch requests, this scenario can be mitigated.
   </td>
 </tr>
-<tr>
-  <td><code>spark.reducer.maxReqSizeShuffleToMem</code></td>
-  <td>200m</td>
-  <td>
-    The blocks of a shuffle request will be fetched to disk when size of the request is above
-    this threshold. This is to avoid a giant request takes too much memory.
-  </td>
-</tr>
 <tr>
   <td><code>spark.shuffle.compress</code></td>
   <td>true</td>