JSON to Parquet File Conversion using Python

Python

You will need pandas library. You can install it via pip install pandas if you do not have.

main.py file

import pandas as pd
import sys

file_in = sys.argv[1]
file_op = sys.argv[2]

data = pd.read_json(file_in)
data.to_parquet(file_op)

JSON

data.json

[
  {
    "event_id": "b8a7eb74-cfca-49e4-83c4-728c10458c23",
    "title": "Zieme and Sons",
    "language": "en",
    "content": "entrepreneur I am Kate Daniel IV living in Fort Freeman and my email address is Ena62@gmail.com and August6@hotmail.com. I work for the company McKenzie, Koepp and Bednar my mobile to reach is 776.923.5653"
  },
  {
    "event_id": "ab83a922-44f7-4e57-b24a-92a9bd193ed5",
    "title": "Bode - Funk",
    "language": "en",
    "content": "I am Bessie Cormier my mobile to reach is 219-795-3134 x8903"
  },
  {
    "event_id": "bc459a28-3ce5-423e-b68a-05464e32fce0",
    "title": "Reichert Group",
    "language": "en",
    "content": "I am iving in Sandraborough. I work for the company Hermann - Herzog"
  },
  {
    "event_id": "430d3ba2-58a1-4b4f-9628-c6a99eced72a",
    "title": "Schamberger, Schmidt and Reilly",
    "language": "en",
    "content": "Hello I am veteran living in Deckowberg"
  },
  {
    "event_id": "ca40439d-4f0c-4490-b3c9-5e0282dd95f9",
    "title": "Cervantes - Bailey",
    "language": "en",
    "content": "Richard Tucker, born on July 28, 1981, living at 331 Mckinney Mount Cruzland, SD 16758, with a phone number of 540-308-0574x8345 and email address thomasrodriguez@gmail.com, recently applied for a loan."
  }
]

Running

python main.py ~/data.json ~/data.parquet