Fix nits

Author: HyukjinKwon

sql/core/src/main/scala/org/apache/spark/sql/DataFrameReader.scala

@@ -285,7 +285,7 @@ class DataFrameReader private[sql](sparkSession: SparkSession) extends Logging {
    * and timestamp type. By default, it is `null` which means trying to read times and date by
    * `java.sql.Timestamp.valueOf()` and `java.sql.Date.valueOf()` or ISO 8601 format.</li>
    * </ul>
-
+   *
    * @since 2.0.0
    */
   @scala.annotation.varargs

sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/csv/CSVSuite.scala

@@ -814,31 +814,31 @@ class CSVSuite extends QueryTest with SharedSQLContext with SQLTestUtils {
   test("Write timestamps correctly with dateFormat option") {
     withTempDir { dir =>
       // With dateFormat option.
-      val datesWithFormatPath = s"${dir.getCanonicalPath}/datesWithFormat.csv"
-      val datesWithFormat = spark.read
+      val timestampsWithFormatPath = s"${dir.getCanonicalPath}/timestampsWithFormat.csv"
+      val timestampsWithFormat = spark.read
         .format("csv")
         .option("header", "true")
         .option("inferSchema", "true")
         .option("dateFormat", "dd/MM/yyyy HH:mm")
         .load(testFile(datesFile))
-      datesWithFormat.write
+      timestampsWithFormat.write
         .format("csv")
         .option("header", "true")
         .option("dateFormat", "yyyy/MM/dd HH:mm")
-        .save(datesWithFormatPath)
+        .save(timestampsWithFormatPath)
 
-      // This will load back the dates as string.
-      val stringDatesWithFormat = spark.read
+      // This will load back the timestamps as string.
+      val stringTimestampsWithFormat = spark.read
         .format("csv")
         .option("header", "true")
         .option("inferSchema", "false")
-        .load(datesWithFormatPath)
-      val expectedStringDatesWithFormat = Seq(
+        .load(timestampsWithFormatPath)
+      val expectedStringTimestampsWithFormat = Seq(
         Row("2015/08/26 18:00"),
         Row("2014/10/27 18:30"),
         Row("2016/01/28 20:00"))
 
-      checkAnswer(stringDatesWithFormat, expectedStringDatesWithFormat)
+      checkAnswer(stringTimestampsWithFormat, expectedStringTimestampsWithFormat)
     }
   }
 }

sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/json/JsonSuite.scala

@@ -1673,7 +1673,7 @@ class JsonSuite extends QueryTest with SharedSQLContext with TestJsonData {
       val datesWithFormat = spark.read
         .schema(customSchema)
         .option("dateFormat", "dd/MM/yyyy HH:mm")
-        .json(datesRecord)
+        .json(datesRecords)
 
       datesWithFormat.write
         .format("json")
@@ -1702,7 +1702,7 @@ class JsonSuite extends QueryTest with SharedSQLContext with TestJsonData {
       val timestampsWithFormat = spark.read
         .schema(customSchema)
         .option("dateFormat", "dd/MM/yyyy HH:mm")
-        .json(datesRecord)
+        .json(datesRecords)
       timestampsWithFormat.write
         .format("json")
         .option("dateFormat", "yyyy/MM/dd HH:mm")

sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/json/TestJsonData.scala

@@ -222,7 +222,7 @@ private[json] trait TestJsonData {
     spark.sparkContext.parallelize(
       s"""{"a": 1${"0" * 38}, "b": 92233720368547758070}""" :: Nil)
 
-  def datesRecord: RDD[String] =
+  def datesRecords: RDD[String] =
     spark.sparkContext.parallelize(
       """{"date": "26/08/2015 18:00"}""" ::
       """{"date": "27/10/2014 18:30"}""" ::