Relationalize a nested JSON string using pyspark

Question

0.00/5 (No votes)

See more:

Input data:

Python

{"id": "188325809", "version": "HEAD", "created_at": "2019-08-08T19:32:04Z", "contact": "{\"id\": \"188325809\", \"phone\": [{\" number\": \"77730455\", \" code\": \"353\", \" altNo\": false}, {\" number\": \"77730466\", \" code\": \"353\", \" altNo\": false}], \"fax\": [{\"faxNumber\": \"77730998\", \" code\": \"353\"}, {\"faxNumber\": \"77730889\", \" code\": \"353\"}]}"}

I
Use Pyspark to
Flatten it out like ,

Python

{id: "188325809", "version": "HEAD","created_at": "2019-08-08T19:32:04Z","number": "77730455", "code": "353","altno":"false","faxNumber": "77730998","code": "353"}
{id: "188325809", "version": "HEAD","created_at": "2019-08-08T19:32:04Z","number": "77730466", "code": "353","altno":"false","faxNumber": "77730889","code": "353"}

What I have tried:

Python

ds.printSchema()

Python

root
 |-- created_at: string (nullable = true)
 |-- id: string (nullable = true)
 |-- contact: string (nullable = true)
 |-- version: string (nullable = true)

Python

df.withColumn('contact',explode(split('contact','number'))).show()

+--------------------+---------+--------------------+-------+
|          created_at|     id|        contact       |version|
+--------------------+---------+--------------------+-------+
|2019-08-08T19:32:04Z|188325809|{"id": "1883258...  |   HEAD|
|2019-08-08T19:32:04Z|188325809|": "77730455", "i...|   HEAD|
|2019-08-08T19:32:04Z|188325809|": "77730466", "i...|   HEAD|
+--------------------+---------+--------------------+-------+

Python

df.withColumn('contact',explode(split('contact',' '))).show()

+--------------------+---------+--------------------+-------+
|          created_at|     id  |        contact     |version|
+--------------------+---------+--------------------+-------+
|2019-08-08T19:32:04Z|188325809|            {"id":  |   HEAD|
|2019-08-08T19:32:04Z|188325809|        "188325809",|   HEAD|
|2019-08-08T19:32:04Z|188325809|        "phone":    |   HEAD|
|2019-08-08T19:32:04Z|188325809|        [{"number": |   HEAD|
|2019-08-08T19:32:04Z|188325809|         "77730455",|   HEAD|
|2019-08-08T19:32:04Z|188325809|          "code":   |   HEAD|
|2019-08-08T19:32:04Z|188325809|              "353",|   HEAD|
|2019-08-08T19:32:04Z|188325809|            "altno":|   HEAD|
|2019-08-08T19:32:04Z|188325809|             false},|   HEAD|
|2019-08-08T19:32:04Z|188325809|         {"number": |   HEAD|
|2019-08-08T19:32:04Z|188325809|         "77730466",|   HEAD|
|2019-08-08T19:32:04Z|188325809|          "code":   |   HEAD|
|2019-08-08T19:32:04Z|188325809|              "353",|   HEAD|
|2019-08-08T19:32:04Z|188325809|          "altno":  |   HEAD|
|2019-08-08T19:32:04Z|188325809|            false}],|   HEAD|
|2019-08-08T19:32:04Z|188325809|              "fax":|   HEAD|
|2019-08-08T19:32:04Z|188325809|      [{"faxNumber":|   HEAD|
|2019-08-08T19:32:04Z|188325809|         "77730998",|   HEAD|
|2019-08-08T19:32:04Z|188325809|          "code":   |   HEAD|
|2019-08-08T19:32:04Z|188325809|             "353"},|   HEAD|
+--------------------+---------+--------------------+-------+

only showing top 20 rows

Posted 18-Mar-20 12:26pm

sslearnsda

Updated 18-Mar-20 14:06pm

Patrice T

v2

Add a Solution

1 solution

Add a Solution

Add your solution here

Treat my content as plain text, not as HTML

Preview 0

…

Existing Members

Sign in to your account

...or Join us

Download, Vote, Comment, Publish.

Your Email
Password
Forgot your password?

Your Email
This email is in use. Do you need your password?
Optional Password

I have read and agree to the Terms of Service and Privacy Policy
Please subscribe me to the CodeProject newsletters

When answering a question please:

Read the question carefully.
Understand that English isn't everyone's first language so be lenient of bad spelling and grammar.
If a question is poorly phrased then either ask for clarification, ignore it, or edit the question and fix the problem. Insults are not welcome.
Don't tell someone to read the manual. Chances are they have and don't get it. Provide an answer or move on to the next question.

Let's work to help developers, not make them feel stupid.

This content, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

Patrice T · Answer 1 · 2020-03-18T14:07:00

Solution 1

Quote:
only showing top 20 rows

What is in your input that is not in the 20 rows of output ?
Describe your problem with more details.

Posted 18-Mar-20 14:07pm

Patrice T

v2

Comments

sslearnsda 19-Mar-20 0:04am

The input is in the form of JSON string. deeply nested. The problem is to read the string and parse it to create a flattened structure. I need help to parse this string and implement a function similar to "explode" in Pyspark.

Patrice T 19-Mar-20 1:42am

Use Improve question to update your question.
So that everyone can pay attention to this information.

You need to explain what is wrong in all the data you show.
You need to show what you expect.