{
  "id": 56697,
  "title": "How to handle massive data files ",
  "url": "/competitions/trackml-particle-identification/discussion/56697",
  "author_name": "",
  "post_date": "2018-05-13T18:52:55.640867900Z",
  "votes": 1,
  "comment_count": 1,
  "views": 0,
  "content": "<p>Has anyone found a way to deal with the massive data aside from training models in samples. I'm thinking about using Spark.</p>",
  "messages": [
    {
      "id": "328237",
      "postDate": "05/13/2018 18:52:55",
      "content": "<p>Has anyone found a way to deal with the massive data aside from training models in samples. I'm thinking about using Spark.</p>",
      "rawMarkdown": "Has anyone found a way to deal with the massive data aside from training models in samples. I'm thinking about using Spark.",
      "votes": null
    },
    {
      "id": "328300",
      "postDate": "05/13/2018 22:53:14",
      "content": "<p>What exactly do you do with this data?</p>",
      "rawMarkdown": "What exactly do you do with this data?",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 328300,
      "author_name": "jacekpoplawski",
      "author_url": "",
      "post_date": "05/13/2018 22:53:14",
      "content": "<p>What exactly do you do with this data?</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "328237": "Has anyone found a way to deal with the massive data aside from training models in samples. I'm thinking about using Spark.",
    "328300": "What exactly do you do with this data?"
  },
  "source": "meta"
}