diff --git a/docs/mllib-feature-extraction.md b/docs/mllib-feature-extraction.md
index 44f0f76220b6e..41a27f6208d1b 100644
--- a/docs/mllib-feature-extraction.md
+++ b/docs/mllib-feature-extraction.md
@@ -68,7 +68,7 @@ val sc: SparkContext = ...
 val documents: RDD[Seq[String]] = sc.textFile("...").map(_.split(" ").toSeq)
 
 val hashingTF = new HashingTF()
-val tf: RDD[Vector] = hasingTF.transform(documents)
+val tf: RDD[Vector] = hashingTF.transform(documents)
 {% endhighlight %}
 
 While applying `HashingTF` only needs a single pass to the data, applying `IDF` needs two passes: 
diff --git a/docs/sql-programming-guide.md b/docs/sql-programming-guide.md
index 5212e19c41349..c1f80544bf0af 100644
--- a/docs/sql-programming-guide.md
+++ b/docs/sql-programming-guide.md
@@ -605,7 +605,7 @@ Spark SQL can automatically infer the schema of a JSON dataset and load it as a
 This conversion can be done using one of two methods in a SQLContext:
 
 * `jsonFile` - loads data from a directory of JSON files where each line of the files is a JSON object.
-* `jsonRdd` - loads data from an existing RDD where each element of the RDD is a string containing a JSON object.
+* `jsonRDD` - loads data from an existing RDD where each element of the RDD is a string containing a JSON object.
 
 {% highlight scala %}
 // sc is an existing SparkContext.
@@ -643,7 +643,7 @@ Spark SQL can automatically infer the schema of a JSON dataset and load it as a
 This conversion can be done using one of two methods in a JavaSQLContext :
 
 * `jsonFile` - loads data from a directory of JSON files where each line of the files is a JSON object.
-* `jsonRdd` - loads data from an existing RDD where each element of the RDD is a string containing a JSON object.
+* `jsonRDD` - loads data from an existing RDD where each element of the RDD is a string containing a JSON object.
 
 {% highlight java %}
 // sc is an existing JavaSparkContext.
@@ -681,7 +681,7 @@ Spark SQL can automatically infer the schema of a JSON dataset and load it as a
 This conversion can be done using one of two methods in a SQLContext:
 
 * `jsonFile` - loads data from a directory of JSON files where each line of the files is a JSON object.
-* `jsonRdd` - loads data from an existing RDD where each element of the RDD is a string containing a JSON object.
+* `jsonRDD` - loads data from an existing RDD where each element of the RDD is a string containing a JSON object.
 
 {% highlight python %}
 # sc is an existing SparkContext.