panbingkun commented on code in PR #49875:
URL: https://github.com/apache/spark/pull/49875#discussion_r1958974063
##########
python/pyspark/sql/functions/builtin.py:
##########
@@ -20115,11 +20115,47 @@ def get_json_object(col: "ColumnOrName", path: str)
-> Column:
Examples
--------
+ Example 1: Extract a json object from json string
+
+ >>> import pyspark.sql.functions as sf
>>> data = [("1", '''{"f1": "value1", "f2": "value2"}'''), ("2", '''{"f1":
"value12"}''')]
>>> df = spark.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='1', c0='value1', c1='value2'), Row(key='2', c0='value12',
c1=None)]
+ >>> extracted1 = sf.get_json_object(df.jstring, '$.f1').alias("c0")
+ >>> extracted2 = sf.get_json_object(df.jstring, '$.f2').alias("c1")
+ >>> df.select(df.key, extracted1, extracted2).show()
Review Comment:
df.select(df.key, sf.get_json_object(df.jstring, '$.f1').alias("c0"),
sf.get_json_object(df.jstring, '$.f2').alias("c1")).show()
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