Mukul Murthy created SPARK-28043:
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Summary: Reading json with duplicate columns drops the first
column value
Key: SPARK-28043
URL: https://issues.apache.org/jira/browse/SPARK-28043
Project: Spark
Issue Type: Bug
Components: Spark Core
Affects Versions: 2.4.0
Reporter: Mukul Murthy
When reading a JSON blob with duplicate fields, Spark appears to ignore the
value of the first one. JSON recommends unique names but does not require it;
since JSON and Spark SQL both allow duplicate field names, we should fix the
bug where the first column value is getting dropped.
Repro (Python, 2.4):
>>> jsonRDD = spark.sparkContext.parallelize(["\{ \"a\": \"blah\", \"a\":
>>> \"blah2\"}"])
>>> df = spark.read.json(jsonRDD)
>>> df.show()
+----+-----+
| a| a|
+----+-----+
|null|blah2|
+----+-----+
The expected response would be:
+----+-----+
| a| a|
+----+-----+
|blah|blah2|
+----+-----+
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