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This is a simple tool to create Mapbox Vectortiles under particular directory from PostGIS database

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postgis2vectortiles

GitHub

This is a simple tool to create Mapbox Vectortiles under particular directory from PostGIS database

Installation

tippecanoe

This module uses tippecanoe to convert geojson files to mbtiles. Please make sure to install it before running.

for MacOS

$ brew install tippecanoe

for Ubuntu

$ git clone https://github.com/mapbox/tippecanoe.git
$ cd tippecanoe
$ make -j
$ make install

main module

npm install @watergis/postgis2vectortiles

Usage

See also test.js

const {postgis2vectortiles} = require('@watergis/postgis2vectortiles');
const config = require('./config');

const pg2vt = new postgis2vectortiles(config);
pg2vt.create('./tiles', '.mvt')
.then(res=>{
    console.log(res);
}).catch(err=>{
    console.log(err);
})

This module will create vectortiles (.mvt or .pbf) under specific directory from your PostGIS database.

Configuration

Dababase Connection

Please put your PostGIS database settings as follow under config.js.

db: {
    user:'postgres',
    password:'Your password',
    host:'localhost',
    port:5432,
    database:'Your database name',
},

mbtiles's Setting

mbtiles: __dirname + '/narok.mbtiles',

Layers' Setting

layers: [
    //Put your layer definition here.
    ]

Each layer definition should include the following information. The below is just an example of Pipeline Layer.

    name: 'pipeline', //Layer Name
    geojsonFileName: __dirname + '/pipeline.geojson', //Temporary working file path
    //The following SQL is the most important one which is able to extract PostGIS data as GeoJSON format.
    select: `
    SELECT row_to_json(featurecollection) AS json FROM (
        SELECT
            'FeatureCollection' AS type,
            array_to_json(array_agg(feature)) AS features
        FROM (
            SELECT
            'Feature' AS type,
            ST_AsGeoJSON(ST_TRANSFORM(ST_MakeValid(x.geom),4326))::json AS geometry,
            row_to_json((
                SELECT p FROM (
                SELECT
                    x.pipeid as fid,
                    a.name as pipetype,
                    x.pipesize,
                    b.name as material,
                    x.constructiondate,
                    x.insertdate,
                    x.updatedate,
                    x.isjica
                ) AS p
            )) AS properties
            FROM pipenet x
            INNER JOIN pipetype a
            ON x.pipetypeid = a.pipetypeid
            INNER JOIN material b
            ON x.materialid = b.materialid
            WHERE NOT ST_IsEmpty(x.geom)
        ) AS feature
        ) AS featurecollection
    `
},
copyright (c) 2020 Jin IGARASHI