https://github.com/HTTPArchive/bigquery

BigQuery import and processing pipelines
https://github.com/HTTPArchive/bigquery

bigquery

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BigQuery import and processing pipelines

• Host: GitHub
• URL: https://github.com/HTTPArchive/bigquery
• Owner: HTTPArchive
• Created: 2013-06-04T00:58:31.000Z (about 11 years ago)
• Default Branch: master
• Last Pushed: 2024-03-07T05:39:10.000Z (4 months ago)
• Last Synced: 2024-03-23T01:14:32.298Z (3 months ago)
• Topics: bigquery
• Language: Jupyter Notebook
• Homepage:
• Size: 2.07 MB
• Stars: 65
• Watchers: 14
• Forks: 19
• Open Issues: 12
• Metadata Files:
  • Readme: README.md
  • Funding: .github/FUNDING.yml

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• awesome-stars - bigquery
• my-awesome-stars - HTTPArchive/bigquery - BigQuery import and processing pipelines (Jupyter Notebook)

README

        
# HTTP Archive + BigQuery data import

_Note: you don't need to import this data yourself, the BigQuery dataset is public! [Getting started](https://github.com/HTTPArchive/httparchive.org/blob/master/docs/gettingstarted_bigquery.md)._

However, if you do want your own private copy of the dataset... The following import and sync scripts will help you import the [HTTP Archive dataset](http://httparchive.org/downloads.php) into BigQuery and keep it up to date.

```bash

$> sh sync.sh Jun_15_2013

$> sh sync.sh mobile_Jun_15_2013

```

That's all there is to it. The sync script handles all the necessary processing:

* Archives are fetched from archive.org (and cached locally)

* Archived CSV is transformed to BigQuery compatible escaping

  * You will need +pigz+ installed for parallel compression

* Request files are split into <1GB compressed CSV's

* Resulting pages and request data is synced to a Google Storage bucket

* BigQuery import is kicked off for each of compressed archives on Google Storage

After the upload is complete, a copy of the latest tables can be made with:

```bash

$> bq.py cp runs.2013_06_15_pages runs.latest_pages

$> bq.py cp runs.2013_06_15_pages_mobile runs.latest_pages_mobile

$> bq.py cp runs.2013_06_15_requests runs.latest_requests

$> bq.py cp runs.2013_06_15_requests_mobile runs.latest_requests_mobile

```

(MIT License) - Copyright (c) 2013 Ilya Grigorik