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
>
>
>
>
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