Windshaft-cartodb/docs/guides/10-MapConfig-dataviews-extension.md
2018-02-21 19:22:02 +01:00

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MapConfig Dataviews Extension

1. Purpose

This specification describes an extension for MapConfig 1.4.0 version.

2. Changes over specification

This extension depends on Analyses extension. It extends MapConfig with a new attribute: dataviews.

It makes possible to get tabular data from analysis nodes: aggregated lists, aggregations, and histograms.

2.1. Dataview types

Aggregation

An aggregation is a list with aggregated results by a column and a given aggregation function.

Definition

{
    // REQUIRED
    // string, `type` the aggregation type
    “type”: “aggregation”,
    // REQUIRED
    // object, `options` dataview params
    “options”: {
        // REQUIRED
        // string, `column` column name to aggregate by
        “column”: “country”,
        // REQUIRED
        // string, `aggregation` operation to perform
        “aggregation”: “count”
        // OPTIONAL
        // string, `aggregationColumn` column value to aggregate
        // This param is required when `aggregation` is different than "count"
        “aggregationColumn”: “population”
    }
}

Expected output

{
  "type": "aggregation",
  "categories": [
    {
      "category": "foo",
      "value": 100
    },
    {
      "category": "bar",
      "value": 200
    }
  ]
}
Histograms

Histograms represent the data distribution for a column.

Definition

{
    // REQUIRED
    // string, `type` the histogram type
    “type”: “histogram”,
    // REQUIRED
    // object, `options` dataview params
    “options”: {
        // REQUIRED
        // string, `column` column name to aggregate by
        “column”: “name”,
        // OPTIONAL
        // number, `bins` how many buckets the histogram should use
        “bins”: 10
    }
}

Expected output

{
  "type": "histogram",
  "bins": [{"bin": 0, "start": 2, "end": 2, "min": 2, "max": 2, "freq": 1}, null, null, {"bin": 3, "min": 40, "max": 44, "freq": 2}, null],
  "width": 10
}
Formula

Formulas given a final value representing the whole dataset.

Definition

{
    // REQUIRED
    // string, `type` the formula type
    “type”: “formula”,
    // REQUIRED
    // object, `options` dataview params
    “options”: {
        // REQUIRED
        // string, `column` column name to aggregate by
        “column”: “name”,
        // REQUIRED
        // string, `aggregation` operation to perform
        “operation”: “count”
    }
}

Operation must be: “min”, “max”, “count”, “avg”, or “sum”.

Result

{
  "type": "formula",
  "operation": "count",
  "result": 1000,
  "nulls": 0
}

2.2 Dataviews attribute

The new dataviews attribute must be a dictionary of dataviews.

An analysis node id can be referenced from dataviews to consume its output query.

The layer consuming the output must reference it with the following option:

{
    // REQUIRED
    // object, `source` as in the future we might want to have other source options
    "source": {
        // REQUIRED
        // string, `id` the analysis node identifier
        "id": "HEAD"
    }
}

2.3. Complete example

{
    "version": "1.4.0",
    "layers": [
        {
            "type": "cartodb",
            "options": {
                "source": {
                    "id": "HEAD"
                },
                "cartocss": "...",
                "cartocss_version": "2.3.0"
            }
        }
    ],
    "dataviews" {
        "basic_histogram": {
            "source": {
                "id": "HEAD"
            },
            "type": "histogram",
            "options": {
                "column": "pop_max"
            }
        }
    },
    "analyses": [
        {
            "id": "HEAD",
            "type": "source",
            "params": {
                "query": "select * from your_table"
            }
        }
    ]
}

3. Filters

Camshaft's analyses expose a filtering capability and aggregation and histogram dataviews get them for free with this extension. Filters are available with the very dataview id, so if you have a "basic_histogram" histogram dataview you can filter with a range filter with "basic_histogram" name.

3.1 Filter types

Category

Allows to remove results that are not contained within a set of elements. Initially this filter can be applied to a numeric or text columns.

Params

{
    “accept”: [“Spain”, “Germany”]
    “reject”: [“Japan”]
}
Range filter

Allows to remove results that dont satisfy numeric min and max values. Filter is applied to a numeric column.

Params

{
    “min”: 0,
    “max”: 1000
}

3.2. How to apply filters

Filters must be applied at map instantiation time.

With :mapconfig as a valid MapConfig and with :filters (a valid JSON) as:

Anonymous map

GET /api/v1/map?config=:mapconfig&filters=:filters

POST /api/v1/map?filters=:filters with BODY=:mapconfig

If in the future we need to support a bigger filters param and it doesnt fit in the query string, we might solve it by accepting:

POST /api/v1/map with BODY={“config”: :mapconfig, “filters”: :filters}

Named map

Assume :params (a valid JSON) as named maps params, like in: {“color”: “red”}

GET /api/v1/named/:name/jsonp?config=:params&filters=:filters&callback=cb

POST /api/v1/named/:name?filters=:filters with BODY=:params

If, again, in the future we need to support a bigger filters param that doesnt fit in the query string, we might solve it by accepting:

POST /api/v1/named/:name with BODY={“config”: :params, “filters”: :filters}

3.3 Bounding box special filter

A bounding box filter allows to remove results that dont satisfy a geospatial range.

The bounding box special filter is available per dataview and there is no need to create a bounding box definition as its always possible to apply a bbox filter per dataview.

A dataview can get its result filtered by bounding box by sending a bbox param in the query string, param must be in the form west,south,east,north.

So applying a bbox filter to a dataview looks like: GET /api/v1/map/:layergroupid/dataview/:dataview_name?bbox=-90,-45,90,45

History

1.0.0-alpha

  • WIP document