Hi All,
Sample JSON data:
{"name": "dev","salary": 100,"occupation": "engg","address": "noida"}
{"name": "karthik","salary": 200,"occupation": "engg","address": "blore"}
Spark Java code:
DataFrame df = sqlContext.read().json(jsonPath);
df.printSchema();
df.show(false);
Output:
root
|-- address: string (nullable = true)
|-- name: string (nullable = true)
|-- occupation: string (nullable = true)
|-- salary: long (nullable = true)
+-------+-------+----------+------+
|address|name |occupation|salary|
+-------+-------+----------+------+
|noida |dev |engg |10000 |
|blore |karthik|engg |20000 |
+-------+-------+----------+------+
Columns are arranged in the alphabetical order.
Is there any way to maintain natural order?
Regards,
Devender
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