diff --git a/examples/src/main/java/org/apache/spark/examples/sql/JavaSparkSQL.java b/examples/src/main/java/org/apache/spark/examples/sql/JavaSparkSQL.java
index 755b4f538104..5ac9f51b2457 100644
--- a/examples/src/main/java/org/apache/spark/examples/sql/JavaSparkSQL.java
+++ b/examples/src/main/java/org/apache/spark/examples/sql/JavaSparkSQL.java
@@ -133,7 +133,7 @@ public String call(Row row) {
     // Register this DataFrame as a table.
     peopleFromJsonFile.registerTempTable("people");
 
-    // SQL statements can be run by using the sql methods provided by sqlContext.
+    // SQL statements can be run by using the sql methods provided by spark (SparkSession object).
     Dataset<Row> teenagers3 = spark.sql("SELECT name FROM people WHERE age >= 13 AND age <= 19");
 
     // The results of SQL queries are DataFrame and support all the normal RDD operations.
diff --git a/examples/src/main/python/sql.py b/examples/src/main/python/sql.py
index 5594223465f8..1acdd1e1b0e9 100644
--- a/examples/src/main/python/sql.py
+++ b/examples/src/main/python/sql.py
@@ -69,7 +69,7 @@
     # Register this DataFrame as a temporary table.
     people.registerTempTable("people")
 
-    # SQL statements can be run by using the sql methods provided by sqlContext
+    # SQL statements can be run by using the sql methods provided by spark (SparkSession object).
     teenagers = spark.sql("SELECT name FROM people WHERE age >= 13 AND age <= 19")
 
     for each in teenagers.collect():