diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
index b61324ff98ae5..4388f6e12671a 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
@@ -1177,7 +1177,7 @@ object SQLConf {
     .createWithDefault(4 * 1024 * 1024)
 
   val FILES_MIN_PARTITION_NUM = buildConf("spark.sql.files.minPartitionNum")
-    .doc("The suggested (not guaranteed) minimum number of splitting file partitions. " +
+    .doc("The suggested (not guaranteed) minimum number of split file partitions. " +
       "If not set, the default value is `spark.default.parallelism`. This configuration is " +
       "effective only when using file-based sources such as Parquet, JSON and ORC.")
     .version("3.1.0")
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/FileSourceStrategySuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/FileSourceStrategySuite.scala
index 5a8052e932b8e..8a6e6b5ee801d 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/FileSourceStrategySuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/FileSourceStrategySuite.scala
@@ -550,14 +550,14 @@ class FileSourceStrategySuite extends QueryTest with SharedSparkSession with Pre
     }
 
     withSQLConf(SQLConf.FILES_MIN_PARTITION_NUM.key -> "16") {
-      val partitions = (1 to 100).map(i => s"file$i" -> 128*1024*1024)
+      val partitions = (1 to 100).map(i => s"file$i" -> 128 * 1024 * 1024)
       val table = createTable(files = partitions)
-      // partition is limit by filesMaxPartitionBytes(128MB)
+      // partition is limited by filesMaxPartitionBytes(128MB)
       assert(table.rdd.partitions.length == 100)
     }
 
     withSQLConf(SQLConf.FILES_MIN_PARTITION_NUM.key -> "32") {
-      val partitions = (1 to 800).map(i => s"file$i" -> 4*1024*1024)
+      val partitions = (1 to 800).map(i => s"file$i" -> 4 * 1024 * 1024)
       val table = createTable(files = partitions)
       assert(table.rdd.partitions.length == 50)
     }