|
| 1 | +--- |
| 2 | +title: "Tables" |
| 3 | +description: "Catalog of open-source Tables" |
| 4 | +--- |
| 5 | + |
| 6 | +!!! note "" |
| 7 | + |
| 8 | + **✅ The following public tables** are |
| 9 | + |
| 10 | + - deployed in `bigfunctions` GCP project in 37 datasets for all of the 37 BigQuery regions. |
| 11 | + - They are public, so they can be read by anyone under the eventual license given in the description of the table. |
| 12 | + - For any question or difficulties, please read [Getting Started](/bigfunctions/). |
| 13 | + - If you prefer to create the tables in your own project, read [Getting Started](/bigfunctions/). |
| 14 | + - Found a bug? Please raise an issue [here](https://github.com/unytics/bigfunctions/issues/new/choose) |
| 15 | + |
| 16 | +??? info "All BigFunctions Datasets >" |
| 17 | + |
| 18 | + | Region | Dataset | |
| 19 | + |--------|---------| |
| 20 | + | `EU` | `bigfunctions.eu` | |
| 21 | + | `US` | `bigfunctions.us` | |
| 22 | + | `asia-east1` | `bigfunctions.asia_east1` | |
| 23 | + | `asia-east2` | `bigfunctions.asia_east2` | |
| 24 | + | `asia-northeast1` | `bigfunctions.asia_northeast1` | |
| 25 | + | `asia-northeast2` | `bigfunctions.asia_northeast2` | |
| 26 | + | `asia-northeast3` | `bigfunctions.asia_northeast3` | |
| 27 | + | `asia-south1` | `bigfunctions.asia_south1` | |
| 28 | + | `asia-south2` | `bigfunctions.asia_south2` | |
| 29 | + | `asia-southeast1` | `bigfunctions.asia_southeast1` | |
| 30 | + | `asia-southeast2` | `bigfunctions.asia_southeast2` | |
| 31 | + | `australia-southeast1` | `bigfunctions.australia_southeast1` | |
| 32 | + | `australia-southeast2` | `bigfunctions.australia_southeast2` | |
| 33 | + | `europe-central2` | `bigfunctions.europe_central2` | |
| 34 | + | `europe-north1` | `bigfunctions.europe_north1` | |
| 35 | + | `europe-southwest1` | `bigfunctions.europe_southwest1` | |
| 36 | + | `europe-west1` | `bigfunctions.europe_west1` | |
| 37 | + | `europe-west2` | `bigfunctions.europe_west2` | |
| 38 | + | `europe-west3` | `bigfunctions.europe_west3` | |
| 39 | + | `europe-west4` | `bigfunctions.europe_west4` | |
| 40 | + | `europe-west6` | `bigfunctions.europe_west6` | |
| 41 | + | `europe-west8` | `bigfunctions.europe_west8` | |
| 42 | + | `europe-west9` | `bigfunctions.europe_west9` | |
| 43 | + | `europe-west12` | `bigfunctions.europe_west12` | |
| 44 | + | `me-central1` | `bigfunctions.me_central1` | |
| 45 | + | `me-west1` | `bigfunctions.me_west1` | |
| 46 | + | `northamerica-northeast1` | `bigfunctions.northamerica_northeast1` | |
| 47 | + | `northamerica-northeast2` | `bigfunctions.northamerica_northeast2` | |
| 48 | + | `southamerica-east1` | `bigfunctions.southamerica_east1` | |
| 49 | + | `southamerica-west1` | `bigfunctions.southamerica_west1` | |
| 50 | + | `us-central1` | `bigfunctions.us_central1` | |
| 51 | + | `us-east1` | `bigfunctions.us_east1` | |
| 52 | + | `us-east4` | `bigfunctions.us_east4` | |
| 53 | + | `us-east5` | `bigfunctions.us_east5` | |
| 54 | + | `us-south1` | `bigfunctions.us_south1` | |
| 55 | + | `us-west1` | `bigfunctions.us_west1` | |
| 56 | + | `us-west2` | `bigfunctions.us_west2` | |
| 57 | + | `us-west3` | `bigfunctions.us_west3` | |
| 58 | + | `us-west4` | `bigfunctions.us_west4` | |
| 59 | + |
| 60 | + |
| 61 | + |
| 62 | + |
| 63 | + |
| 64 | + |
| 65 | +--- |
| 66 | + |
| 67 | +{% for table in tables %} |
| 68 | + |
| 69 | +### {{ table.name }} |
| 70 | +<div style="position: relative; top: -2rem; margin-bottom: -2rem; text-align: right; z-index: 9999;"> |
| 71 | + |
| 72 | + <a href="{{ repo_url }}/blob/main/data/{{ table.name }}.yaml" title="Edit on GitHub" target="_blank"><svg xmlns="http://www.w3.org/2000/svg" width="32" height="32" viewBox="0 0 24 24"><path fill="#5d6cc0" d="M12 0c-6.626 0-12 5.373-12 12 0 5.302 3.438 9.8 8.207 11.387.599.111.793-.261.793-.577v-2.234c-3.338.726-4.033-1.416-4.033-1.416-.546-1.387-1.333-1.756-1.333-1.756-1.089-.745.083-.729.083-.729 1.205.084 1.839 1.237 1.839 1.237 1.07 1.834 2.807 1.304 3.492.997.107-.775.418-1.305.762-1.604-2.665-.305-5.467-1.334-5.467-5.931 0-1.311.469-2.381 1.236-3.221-.124-.303-.535-1.524.117-3.176 0 0 1.008-.322 3.301 1.23.957-.266 1.983-.399 3.003-.404 1.02.005 2.047.138 3.006.404 2.291-1.552 3.297-1.23 3.297-1.23.653 1.653.242 2.874.118 3.176.77.84 1.235 1.911 1.235 3.221 0 4.609-2.807 5.624-5.479 5.921.43.372.823 1.102.823 2.222v3.293c0 .319.192.694.801.576 4.765-1.589 8.199-6.086 8.199-11.386 0-6.627-5.373-12-12-12z"/></svg></a></div> |
| 73 | + |
| 74 | +**Description** |
| 75 | + |
| 76 | +{{ table.description }} |
| 77 | + |
| 78 | + |
| 79 | +**Schema** |
| 80 | + |
| 81 | +| Column | Type | Description | |
| 82 | +|---------|------|--------------| |
| 83 | +{% for column in table.schema -%} |
| 84 | +| {{ column.name }} | {{ column.type }} | {{ column.description }} | |
| 85 | +{% endfor %} |
| 86 | + |
| 87 | +--- |
| 88 | + |
| 89 | +{% endfor %} |
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