title: How to read a large json in pandas?
body: <p>My code is :<code>data_review=pd.read_json('review.json')
  </code>
  I have the data <code>review</code> as fllow:</p>
  
  <pre><code>{
      // string, 22 character unique review id
      "review_id": "zdSx_SD6obEhz9VrW9uAWA",
  
      // string, 22 character unique user id, maps to the user in user.json
      "user_id": "Ha3iJu77CxlrFm-vQRs_8g",
  
      // string, 22 character business id, maps to business in business.json
      "business_id": "tnhfDv5Il8EaGSXZGiuQGg",
  
      // integer, star rating
      "stars": 4,
  
      // string, date formatted YYYY-MM-DD
      "date": "2016-03-09",
  
      // string, the review itself
      "text": "Great place to hang out after work: the prices are decent, and the ambience is fun. It's a bit loud, but very lively. The staff is friendly, and the food is good. They have a good selection of drinks.",
  
      // integer, number of useful votes received
      "useful": 0,
  
      // integer, number of funny votes received
      "funny": 0,
  
      // integer, number of cool votes received
      "cool": 0
  }
  </code></pre>
  
  <p>But I got the follow error:</p>
  
  <pre><code>    333             fh, handles = _get_handle(filepath_or_buffer, 'r',
      334                                       encoding=encoding)
  --&gt; 335             json = fh.read()
      336             fh.close()
      337         else:
  
  OSError: [Errno 22] Invalid argument
  </code></pre>
  
  <p>My jsonfile do not contain any comments and 3.8G!
  I just download the file from here to practice <a href="https://www.yelp.com/dataset/documentation/json" rel="noreferrer">link</a></p>
  
  <p>When I use the follow code,throw the same error:</p>
  
  <pre><code>import json
  with open('review.json') as json_file:
      data = json.load(json_file)
  </code></pre>