Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/9977#discussion_r45946595
--- Diff: python/pyspark/sql/functions.py ---
@@ -1468,22 +1481,47 @@ def get_json_object(col, path):
:param col: string column in json format
:param path: path to the json object to extract
+
+ >>> data = [("1", '''{"f1": "value1", "f2": "value2"}'''), \
+ ("2", '''{"f1": "value12"}'''), \
+ ("3", '''{"f2": 2}'''), \
+ ("4", None), \
+ ("5", '''{"f1": null}'''), \
+ ("6", '''[invalid JSON string]''')]
+ >>> df = sqlContext.createDataFrame(data, ("key", "jstring"))
+ >>> df.select(df.key, get_json_object(df.jstring, '$.f1').alias("c0"),
\
+ get_json_object(df.jstring, '$.f2').alias("c1")
).collect()
+ [Row(key=u'1', c0=u'value1', c1=u'value2'), Row(key=u'2',
c0=u'value12', c1=None),
+ Row(key=u'3', c0=None, c1=u'2'), Row(key=u'4', c0=None, c1=None),
+ Row(key=u'5', c0=u'null', c1=None), Row(key=u'6', c0=None, c1=None)]
"""
sc = SparkContext._active_spark_context
jc = sc._jvm.functions.get_json_object(_to_java_column(col), path)
return Column(jc)
+@ignore_unicode_prefix
@since(1.6)
-def json_tuple(col, fields):
+def json_tuple(col, *fields):
"""Creates a new row for a json column according to the given field
names.
:param col: string column in json format
:param fields: list of fields to extract
+ >>> data = [("1", '''{"f1": "value1", "f2": "value2"}'''), \
+ ("2", '''{"f1": "value12"}'''), \
+ ("3", '''{"f2": 2}'''), \
+ ("4", None), \
+ ("5", '''{"f1": null}'''), \
+ ("6", '''[invalid JSON string]''')]
+ >>> df = sqlContext.createDataFrame(data, ("key", "jstring"))
+ >>> df.select(df.key, json_tuple(df.jstring, 'f1', 'f2')).collect()
--- End diff --
Sure, will do. I will move the test case of `get_json_object` to the scala
test file. Will simplify the existing test cases of `get_json_object` and
`json_tuple`. Thanks!
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