diff --git a/docs/structured-streaming-kafka-integration.md b/docs/structured-streaming-kafka-integration.md
index fe3c60040d..b0009e0170 100644
--- a/docs/structured-streaming-kafka-integration.md
+++ b/docs/structured-streaming-kafka-integration.md
@@ -388,6 +388,16 @@ The following configurations are optional:
   <td>streaming and batch</td>
   <td>Rate limit on maximum number of offsets processed per trigger interval. The specified total number of offsets will be proportionally split across topicPartitions of different volume.</td>
 </tr>
+<tr>
+  <td>minPartitions</td>
+  <td>int</td>
+  <td>none</td>
+  <td>streaming and batch</td>
+  <td>Minimum number of partitions to read from Kafka.
+  By default, Spark has a 1-1 mapping of topicPartitions to Spark partitions consuming from Kafka.
+  If you set this option to a value greater than your topicPartitions, Spark will divvy up large
+  Kafka partitions to smaller pieces.</td>
+</tr>
 <tr>
   <td>groupIdPrefix</td>
   <td>string</td>