[MINOR][DOCS] Fix typo in Hive Examples

## What changes were proposed in this pull request?

Fix typo in hive examples from "DaraFrames" to "DataFrames"

## How was this patch tested?

N/A

Please review http://spark.apache.org/contributing.html before opening a pull request.

Author: Dustin Koupal <dkoupal@blizzard.com>

Closes #17554 from cooper6581/typo-daraframes.

3 files changed, 3 insertions, 3 deletions

diff --git a/examples/src/main/java/org/apache/spark/examples/sql/hive/JavaSparkHiveExample.java b/examples/src/main/java/org/apache/spark/examples/sql/hive/JavaSparkHiveExample.java
index 47638565b1..575a463e87 100644
--- a/examples/src/main/java/org/apache/spark/examples/sql/hive/JavaSparkHiveExample.java
+++ b/examples/src/main/java/org/apache/spark/examples/sql/hive/JavaSparkHiveExample.java
@@ -89,7 +89,7 @@ public class JavaSparkHiveExample {
     // 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());
diff --git a/examples/src/main/python/sql/hive.py b/examples/src/main/python/sql/hive.py
index 1f175d7258..1f83a6fb48 100644
--- a/examples/src/main/python/sql/hive.py
+++ b/examples/src/main/python/sql/hive.py
@@ -68,7 +68,7 @@ if __name__ == "__main__":
     # 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)
diff --git a/examples/src/main/scala/org/apache/spark/examples/sql/hive/SparkHiveExample.scala b/examples/src/main/scala/org/apache/spark/examples/sql/hive/SparkHiveExample.scala
index 3de26364b5..e5f75d53ed 100644
--- a/examples/src/main/scala/org/apache/spark/examples/sql/hive/SparkHiveExample.scala
+++ b/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"
     }