How to read JSON files embedded in a list of lists?

[AmineHY]

Hello

I am trying to read this JSON file but didn't succeed

 

You can see the head of the file, JSON inside a list of lists. Any idea how to read this file?

[Debayan]

Hi @Amine HADJ-YOUCEF​ , The data sources are limited, please refer: https://spark.apache.org/docs/latest/sql-data-sources-json.html#data-source-option

Also, https://docs.databricks.com/external-data/json.html

Please let us know if this helps.

[Kaniz_Fatma]

Hi @Amine HADJ-YOUCEF, Please see these threads which have a solution to similar queries and LMK if that helps:-

• ​ https://stackoverflow.com/questions/66108297/spark-how-to-parse-json-string-of-nested-lists-to-spark-data-frame
• https://stackoverflow.com/questions/63502556/pyspark-read-nested-json-from-a-string-type-column-and-...

[AmineHY]

Thank you for sharing,

these links do not address the exact problem I am facing

[Kaniz_Fatma]

Hi @Amine HADJ-YOUCEF​, We haven’t heard from you since the last response from @Debayan Mukherjee​ and me​, and I was checking back to see if our suggestions helped you.

Or else, If you have any solution, please share it with the community, as it can be helpful to others.

Also, Please don't forget to click on the "Select As Best" button whenever the information provided helps resolve your question.

[AmineHY]

For now I red the file as a Text and it gives :

it is the concatenation of multiple JSON files, that why the native JSON parser can't load the data.

The surprising thing is that it detects the right schema!

[AmineHY · Accepted solution]

Here is my solution, I am sure it can be optimized

import json
 data=[]
with open(path_to_json_file, 'r') as f:
   data.extend(json.load(f))
   df = spark.createDataFrame(data[0], schema=schema)

✌️

[Kaniz_Fatma]

Hi @Amine HADJ-YOUCEF​, Thank you for sharing the solution with the community!