[MINOR][DOCS] Fix typo in Hive Examples

examples/src/main/java/org/apache/spark/examples/sql/hive/JavaSparkHiveExample.java

@@ -89,7 +89,7 @@ public static void main(String[] args) {
     // The results of SQL queries are themselves DataFrames and support all normal functions.
     Dataset<Row> sqlDF = spark.sql("SELECT key, value FROM src WHERE key < 10 ORDER BY key");
 
-    // The items in DaraFrames are of type Row, which lets you to access each column by ordinal.
+    // The items in DataFrames are of type Row, which lets you to access each column by ordinal.
     Dataset<String> stringsDS = sqlDF.map(
         (MapFunction<Row, String>) row -> "Key: " + row.get(0) + ", Value: " + row.get(1),
         Encoders.STRING());

examples/src/main/python/sql/hive.py

@@ -68,7 +68,7 @@
     # The results of SQL queries are themselves DataFrames and support all normal functions.
     sqlDF = spark.sql("SELECT key, value FROM src WHERE key < 10 ORDER BY key")
 
-    # The items in DaraFrames are of type Row, which allows you to access each column by ordinal.
+    # The items in DataFrames are of type Row, which allows you to access each column by ordinal.
     stringsDS = sqlDF.rdd.map(lambda row: "Key: %d, Value: %s" % (row.key, row.value))
     for record in stringsDS.collect():
         print(record)

examples/src/main/scala/org/apache/spark/examples/sql/hive/SparkHiveExample.scala

@@ -76,7 +76,7 @@ object SparkHiveExample {
     // The results of SQL queries are themselves DataFrames and support all normal functions.
     val sqlDF = sql("SELECT key, value FROM src WHERE key < 10 ORDER BY key")
 
-    // The items in DaraFrames are of type Row, which allows you to access each column by ordinal.
+    // The items in DataFrames are of type Row, which allows you to access each column by ordinal.
     val stringsDS = sqlDF.map {
       case Row(key: Int, value: String) => s"Key: $key, Value: $value"
     }