diff --git a/docs/sql-programming-guide.md b/docs/sql-programming-guide.md
index c425faca4c2733d54f879feae4b4cbabc8bffd4f..28942b68fa20d193e2462bf3d4f0310cacf6a260 100644
--- a/docs/sql-programming-guide.md
+++ b/docs/sql-programming-guide.md
@@ -883,7 +883,7 @@ Configuration of Parquet can be done using the `setConf` method on `SparkSession
<div data-lang="scala" markdown="1">
Spark SQL can automatically infer the schema of a JSON dataset and load it as a `Dataset[Row]`.
-This conversion can be done using `SparkSession.read.json()` on either an RDD of String,
+This conversion can be done using `SparkSession.read.json()` on either a `Dataset[String]`,
or a JSON file.
Note that the file that is offered as _a json file_ is not a typical JSON file. Each
@@ -897,7 +897,7 @@ For a regular multi-line JSON file, set the `wholeFile` option to `true`.
<div data-lang="java" markdown="1">
Spark SQL can automatically infer the schema of a JSON dataset and load it as a `Dataset<Row>`.
-This conversion can be done using `SparkSession.read().json()` on either an RDD of String,
+This conversion can be done using `SparkSession.read().json()` on either a `Dataset<String>`,
or a JSON file.
Note that the file that is offered as _a json file_ is not a typical JSON file. Each
diff --git a/examples/src/main/java/org/apache/spark/examples/sql/JavaSQLDataSourceExample.java b/examples/src/main/java/org/apache/spark/examples/sql/JavaSQLDataSourceExample.java
index 1a7054614b3482a08e499967b3bd92d4ffda90ee..b66abaed66000d542785999c12f40fcf5331bdec 100644
--- a/examples/src/main/java/org/apache/spark/examples/sql/JavaSQLDataSourceExample.java
+++ b/examples/src/main/java/org/apache/spark/examples/sql/JavaSQLDataSourceExample.java
@@ -215,7 +215,7 @@ public class JavaSQLDataSourceExample {
// +------+
// Alternatively, a DataFrame can be created for a JSON dataset represented by
- // an Dataset[String] storing one JSON object per string.
+ // a Dataset<String> storing one JSON object per string.
List<String> jsonData = Arrays.asList(
"{\"name\":\"Yin\",\"address\":{\"city\":\"Columbus\",\"state\":\"Ohio\"}}");
Dataset<String> anotherPeopleDataset = spark.createDataset(jsonData, Encoders.STRING());
diff --git a/examples/src/main/scala/org/apache/spark/examples/sql/SQLDataSourceExample.scala b/examples/src/main/scala/org/apache/spark/examples/sql/SQLDataSourceExample.scala
index 82fd56de398474460803bc304973ec02a9d8096f..ad74da72bd5e6b7b0934579486590ca034177442 100644
--- a/examples/src/main/scala/org/apache/spark/examples/sql/SQLDataSourceExample.scala
+++ b/examples/src/main/scala/org/apache/spark/examples/sql/SQLDataSourceExample.scala
@@ -139,7 +139,7 @@ object SQLDataSourceExample {
// +------+
// Alternatively, a DataFrame can be created for a JSON dataset represented by
- // an Dataset[String] storing one JSON object per string
+ // a Dataset[String] storing one JSON object per string
val otherPeopleDataset = spark.createDataset(
"""{"name":"Yin","address":{"city":"Columbus","state":"Ohio"}}""" :: Nil)
val otherPeople = spark.read.json(otherPeopleDataset)
diff --git a/python/pyspark/sql/readwriter.py b/python/pyspark/sql/readwriter.py
index d912f395dafcea7b96a52c3e37e259571e503b28..960fb882cf90108b0717ee76ea0736a6961ad06f 100644
--- a/python/pyspark/sql/readwriter.py
+++ b/python/pyspark/sql/readwriter.py
@@ -173,8 +173,8 @@ class DataFrameReader(OptionUtils):
"""
Loads JSON files and returns the results as a :class:`DataFrame`.
- `JSON Lines <http://jsonlines.org/>`_(newline-delimited JSON) is supported by default.
- For JSON (one record per file), set the `wholeFile` parameter to ``true``.
+ `JSON Lines <http://jsonlines.org/>`_ (newline-delimited JSON) is supported by default.
+ For JSON (one record per file), set the ``wholeFile`` parameter to ``true``.
If the ``schema`` parameter is not specified, this function goes
through the input once to determine the input schema.
@@ -634,7 +634,9 @@ class DataFrameWriter(OptionUtils):
@since(1.4)
def json(self, path, mode=None, compression=None, dateFormat=None, timestampFormat=None):
- """Saves the content of the :class:`DataFrame` in JSON format at the specified path.
+ """Saves the content of the :class:`DataFrame` in JSON format
+ (`JSON Lines text format or newline-delimited JSON <http://jsonlines.org/>`_) at the
+ specified path.
:param path: the path in any Hadoop supported file system
:param mode: specifies the behavior of the save operation when data already exists.
diff --git a/python/pyspark/sql/streaming.py b/python/pyspark/sql/streaming.py
index 3b604963415f9c7ccf9ff4dd869fab19960ddc25..65b59d480da36ae2e176538e72d1b55d16f3816a 100644
--- a/python/pyspark/sql/streaming.py
+++ b/python/pyspark/sql/streaming.py
@@ -405,8 +405,8 @@ class DataStreamReader(OptionUtils):
"""
Loads a JSON file stream and returns the results as a :class:`DataFrame`.
- `JSON Lines <http://jsonlines.org/>`_(newline-delimited JSON) is supported by default.
- For JSON (one record per file), set the `wholeFile` parameter to ``true``.
+ `JSON Lines <http://jsonlines.org/>`_ (newline-delimited JSON) is supported by default.
+ For JSON (one record per file), set the ``wholeFile`` parameter to ``true``.
If the ``schema`` parameter is not specified, this function goes
through the input once to determine the input schema.
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/DataFrameReader.scala b/sql/core/src/main/scala/org/apache/spark/sql/DataFrameReader.scala
index 49691c15d0f7d32133c5b7551c97be6368788462..c1b32917415aebe19e38b1f539ecf4d7cb433efe 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/DataFrameReader.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/DataFrameReader.scala
@@ -268,8 +268,8 @@ class DataFrameReader private[sql](sparkSession: SparkSession) extends Logging {
}
/**
- * Loads a JSON file (<a href="http://jsonlines.org/">JSON Lines text format or
- * newline-delimited JSON</a>) and returns the result as a `DataFrame`.
+ * Loads a JSON file and returns the results as a `DataFrame`.
+ *
* See the documentation on the overloaded `json()` method with varargs for more details.
*
* @since 1.4.0