Do your schema inference and then apply the JSON schema using withColumn
overwriting the String representation
From: Nirav Patel <npa...@xactlycorp.com>
Date: Tuesday, October 2, 2018 at 5:00 PM
To: <brandonge...@gmail.com>
Cc: spark users <user@spark.apache.org>
Subject: Re: CSV parser - how to parse column containing json data
I need to inferSchema from CSV as well. As per your solution, I am creating
SructType only for Json field. So how am I going to mix and match here? i.e. do
type inference for all fields but json field and use custom json_schema for
json field.
On Thu, Aug 30, 2018 at 5:29 PM Brandon Geise <brandonge...@gmail.com> wrote:
If you know your json schema you can create a struct and then apply that using
from_json:
val json_schema = StructType(Array(StructField(“x”, StringType, true),
StructField(“y”, StringType, true), StructField(“z”, IntegerType, true)))
.withColumn("_c3", from_json(col("_c3_signals"),json_schema))
From: Nirav Patel <npa...@xactlycorp.com>
Date: Thursday, August 30, 2018 at 7:19 PM
To: spark users <user@spark.apache.org>
Subject: CSV parser - how to parse column containing json data
Is there a way to parse csv file with some column in middle containing json
data structure?
"a",102,"c","{"x":"xx","y":false,"z":123}","d","e",102.2
Thanks,
Nirav
