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id | page | ref ▲ | title | content | breadcrumbs | references |
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facets:id3 | facets | id3 | Facet by date | If Datasette finds any columns that contain dates in the first 100 values, it will offer a faceting interface against the dates of those values. This works especially well against timestamp values such as 2019-03-01 12:44:00 . Example here: latest.datasette.io/fixtures/facetable?_facet_date=created | ["Facets"] | [{"href": "https://latest.datasette.io/fixtures/facetable?_facet_date=created", "label": "latest.datasette.io/fixtures/facetable?_facet_date=created"}] |
facets:id2 | facets | id2 | Facet by JSON array | If your SQLite installation provides the json1 extension (you can check using /-/versions ) Datasette will automatically detect columns that contain JSON arrays of values and offer a faceting interface against those columns. This is useful for modelling things like tags without needing to break them out into a new table. Example here: latest.datasette.io/fixtures/facetable?_facet_array=tags | ["Facets"] | [{"href": "https://latest.datasette.io/fixtures/facetable?_facet_array=tags", "label": "latest.datasette.io/fixtures/facetable?_facet_array=tags"}] |
facets:id1 | facets | id1 | Facets | Datasette facets can be used to add a faceted browse interface to any database table. With facets, tables are displayed along with a summary showing the most common values in specified columns. These values can be selected to further filter the table. Here's an example : Facets can be specified in two ways: using query string parameters, or in metadata.json configuration for the table. | [] | [{"href": "https://congress-legislators.datasettes.com/legislators/legislator_terms?_facet=type&_facet=party&_facet=state&_facet_size=10", "label": "an example"}] |
facets:facets-metadata | facets | facets-metadata | Facets in metadata | You can turn facets on by default for specific tables by adding them to a "facets" key in a Datasette Metadata file. Here's an example that turns on faceting by default for the qLegalStatus column in the Street_Tree_List table in the sf-trees database: [[[cog from metadata_doc import metadata_example metadata_example(cog, { "databases": { "sf-trees": { "tables": { "Street_Tree_List": { "facets": ["qLegalStatus"] } } } } }) ]]] [[[end]]] Facets defined in this way will always be shown in the interface and returned in the API, regardless of the _facet arguments passed to the view. You can specify array or date facets in metadata using JSON objects with a single key of array or date and a value specifying the column, like this: [[[cog metadata_example(cog, { "facets": [ {"array": "tags"}, {"date": "created"} ] }) ]]] [[[end]]] You can change the default facet size (the number of results shown for each facet) for a table using facet_size : [[[cog metadata_example(cog, { "databases": { "sf-trees": { "tables": { "Street_Tree_List": { "facets": ["qLegalStatus"], "facet_size": 10 } } } } }) ]]] [[[end]]] | ["Facets"] | [] |
facets:facets-in-query-strings | facets | facets-in-query-strings | Facets in query strings | To turn on faceting for specific columns on a Datasette table view, add one or more _facet=COLUMN parameters to the URL. For example, if you want to turn on facets for the city_id and state columns, construct a URL that looks like this: /dbname/tablename?_facet=state&_facet=city_id This works for both the HTML interface and the .json view. When enabled, facets will cause a facet_results block to be added to the JSON output, looking something like this: { "state": { "name": "state", "results": [ { "value": "CA", "label": "CA", "count": 10, "toggle_url": "http://...?_facet=city_id&_facet=state&state=CA", "selected": false }, { "value": "MI", "label": "MI", "count": 4, "toggle_url": "http://...?_facet=city_id&_facet=state&state=MI", "selected": false }, { "value": "MC", "label": "MC", "count": 1, "toggle_url": "http://...?_facet=city_id&_facet=state&state=MC", "selected": false } ], "truncated": false } "city_id": { "name": "city_id", "results": [ { "value": 1, "label": "San Francisco", "count": 6, "toggle_url": "http://...?_facet=city_id&_facet=state&city_id=1", "selected": false }, { "value": 2, "label": "Los Angeles", "count": 4, "toggle_url": "http://...?_facet=city_id&_facet=state&city_id=2", "selected": false }, { "value": 3, "label": "Detroit", "count": 4, "toggle_url": "http://...?_facet=city_id&_facet=state&city_id=3", "selected": false }, { "value": 4, "label": "Memnonia", "count": 1, "toggle_url": "http://...?_facet=city_id&_facet=state&city_id=4", "selected": false } ], "truncated": false } } If Datasette detect… | ["Facets"] | [] |
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CREATE TABLE [sections] ( [id] TEXT PRIMARY KEY, [page] TEXT, [ref] TEXT, [title] TEXT, [content] TEXT, [breadcrumbs] TEXT, [references] TEXT );