HyukjinKwon commented on code in PR #43687:
URL: https://github.com/apache/spark/pull/43687#discussion_r1384213317
##########
python/pyspark/sql/readwriter.py:
##########
@@ -380,22 +380,72 @@ def json(
Examples
--------
- Write a DataFrame into a JSON file and read it back.
+ Example 1: Write a DataFrame into a JSON file and read it back.
>>> import tempfile
>>> with tempfile.TemporaryDirectory() as d:
... # Write a DataFrame into a JSON file
... spark.createDataFrame(
- ... [{"age": 100, "name": "Hyukjin Kwon"}]
+ ... [{"age": 100, "name": "Hyukjin"}]
... ).write.mode("overwrite").format("json").save(d)
...
... # Read the JSON file as a DataFrame.
... spark.read.json(d).show()
- +---+------------+
- |age| name|
- +---+------------+
- |100|Hyukjin Kwon|
- +---+------------+
+ +---+-------+
+ |age| name|
+ +---+-------+
+ |100|Hyukjin|
+ +---+-------+
+
+ Example 2: Read JSON from multiple files in a directory
+
+ >>> import tempfile
+ >>> with tempfile.TemporaryDirectory() as d1,
tempfile.TemporaryDirectory() as d2:
+ ... # Write a DataFrame into a JSON file
+ ... spark.createDataFrame(
+ ... [{"age": 30, "name": "Bob"}]
+ ... ).write.mode("overwrite").format("json").save(d1)
+ ...
+ ... # Read the JSON files as a DataFrame.
+ ... spark.createDataFrame(
+ ... [{"age": 25, "name": "Alice"}]
+ ... ).write.mode("overwrite").format("json").save(d2)
+ ... spark.read.json([d1, d2]).show()
+ +---+-----+
+ |age| name|
+ +---+-----+
+ | 25|Alice|
+ | 30| Bob|
+ +---+-----+
+
+ Example 3: Read JSON from an RDD of JSON strings
+
+ >>> json_strings = ["{'name': 'Alice', 'age': 25}", "{'name': 'Bob',
'age': 30}"]
+ >>> rdd = spark.sparkContext.parallelize(json_strings) # doctest:
+SKIP
+ >>> df = spark.read.json(rdd) # doctest: +SKIP
+ >>> df.show() # doctest: +SKIP
Review Comment:
Actually, Spark Connect doesn't have a way to convert DataFrame or RDD. So
there's no way of doing similar stuff with Spark Connect.
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