{
  "id": 7830,
  "title": "Unable to open the .csv file",
  "url": "/competitions/acquire-valued-shoppers-challenge/discussion/7830",
  "author_name": "",
  "post_date": "2014-04-23T06:32:06.267Z",
  "votes": null,
  "comment_count": 4,
  "views": 1719,
  "content": "<p>Hi,</p>\n<p>I am unable to open for &quot;transaction.csv&quot; in MS Excel.&nbsp;Please let me know if I can split the file without opening or not.</p>",
  "messages": [
    {
      "id": "42792",
      "postDate": "04/23/2014 06:32:06",
      "content": "<p>Hi,</p>\n<p>I am unable to open for &quot;transaction.csv&quot; in MS Excel.&nbsp;Please let me know if I can split the file without opening or not.</p>",
      "rawMarkdown": "",
      "votes": null
    },
    {
      "id": "42832",
      "postDate": "04/23/2014 13:25:20",
      "content": "<p>You could try to open it with a editor, like notepad++ and then split it in smaller chunks.</p>",
      "rawMarkdown": "",
      "votes": null
    },
    {
      "id": "42839",
      "postDate": "04/23/2014 14:16:36",
      "content": "<p>split -l 200000&nbsp;transactions.csv&nbsp;part_</p>",
      "rawMarkdown": "",
      "votes": null
    },
    {
      "id": "43008",
      "postDate": "04/25/2014 15:27:56",
      "content": "<p>imported the file into the table created in the database.</p>",
      "rawMarkdown": "",
      "votes": null
    },
    {
      "id": "44430",
      "postDate": "05/13/2014 04:42:28",
      "content": "<p>I used a line similar to your Abhishek,</p>\n<p>split --number=22 transactions.csv</p>\n<p>This split it into 22 chunks roughly 1gb each so I can estimate memory usage. It took 3 or 4 minutes on my computer. For quickly looking at a file too large for spreadsheet software, I use</p>\n<p>head -20 transactions.csv</p>",
      "rawMarkdown": "",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 42832,
      "author_name": "jost54",
      "author_url": "",
      "post_date": "04/23/2014 13:25:20",
      "content": "<p>You could try to open it with a editor, like notepad++ and then split it in smaller chunks.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 42839,
      "author_name": "abhishek",
      "author_url": "",
      "post_date": "04/23/2014 14:16:36",
      "content": "<p>split -l 200000&nbsp;transactions.csv&nbsp;part_</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 43008,
      "author_name": "obulam",
      "author_url": "",
      "post_date": "04/25/2014 15:27:56",
      "content": "<p>imported the file into the table created in the database.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 44430,
      "author_name": "arobertson",
      "author_url": "",
      "post_date": "05/13/2014 04:42:28",
      "content": "<p>I used a line similar to your Abhishek,</p>\n<p>split --number=22 transactions.csv</p>\n<p>This split it into 22 chunks roughly 1gb each so I can estimate memory usage. It took 3 or 4 minutes on my computer. For quickly looking at a file too large for spreadsheet software, I use</p>\n<p>head -20 transactions.csv</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "42792": "",
    "42832": "",
    "42839": "",
    "43008": "",
    "44430": ""
  },
  "source": "meta"
}