Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/9977#discussion_r45921244
--- Diff: python/pyspark/sql/functions.py ---
@@ -1475,15 +1487,29 @@ def get_json_object(col, path):
@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
- """
- sc = SparkContext._active_spark_context
- jc = sc._jvm.functions.json_tuple(_to_java_column(col), fields)
+ >>> data = [("1", '''{"f1": "value1", "f2": "value2", "f3": 3, "f5":
5.23}'''), \
+ ("2", '''{"f1": "value12", "f3": "value3", "f2": 2, "f4":
4.01}'''), \
+ ("3", '''{"f1": "value13", "f4": "value44", "f3": "value33",
"f2": 2, "f5": 5.01}'''), \
+ ("4", None), \
+ ("5", '''{"f1": "", "f5": null}'''), \
+ ("6", '''[invalid JSON string]''')]
+ >>> df = sqlContext.createDataFrame(data, ("key", "jstring"))
+ >>> df.select(df.key, json_tuple(df.jstring, 'f1', 'f2', 'f3', 'f4',
'f5')).collect()
--- End diff --
sure, will do.
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