Windshaft-cartodb/lib/cartodb/backends/cluster.js

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'use strict';
const PSQL = require('cartodb-psql');
const dbParamsFromReqParams = require('../utils/database-params');
const debug = require('debug')('backend:cluster');
const AggregationMapConfig = require('../models/aggregation/aggregation-mapconfig');
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module.exports = class ClusterBackend {
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// TODO: reduce complexity
// jshint maxcomplexity: 13
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getClusterFeatures (mapConfigProvider, params, callback) {
mapConfigProvider.getMapConfig((err, _mapConfig) => {
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if (err) {
return callback(err);
}
let pg;
try {
pg = new PSQL(dbParamsFromReqParams(params));
} catch (error) {
return callback(error);
}
const { user, token, layer: layerIndex } = params;
const mapConfig = new AggregationMapConfig(user, _mapConfig.obj(), pg);
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const layer = mapConfig.getLayer(layerIndex);
if (!hasAggregationLayer(mapConfig, layerIndex)) {
const error = new Error(`Map ${token} has no aggregation defined for layer ${layerIndex}`);
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error.http_status = 400;
error.type = 'layer';
error.subtype = 'aggregation';
error.layer = {
index: layerIndex,
type: layer.type
};
debug(error);
return callback(error);
}
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let { aggregation } = params;
if ( aggregation !== undefined) {
try {
aggregation = JSON.parse(aggregation);
} catch (err) {
const error = new Error(`Invalid aggregation input, should be a a valid JSON`);
error.http_status = 400;
error.type = 'layer';
error.subtype = 'aggregation';
error.layer = {
index: layerIndex,
type: layer.type
};
return callback(error);
}
const { columns, expressions } = aggregation;
if (!hasColumns(columns)) {
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const error = new Error(
`Invalid aggregation input, columns should be and array of column names`
);
error.http_status = 400;
error.type = 'layer';
error.subtype = 'aggregation';
error.layer = {
index: layerIndex,
type: layer.type
};
return callback(error);
}
if (expressions !== undefined) {
if (!isValidExpression(expressions)) {
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const error = new Error(
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`Invalid aggregation input, expressions should be and object with valid functions`
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);
error.http_status = 400;
error.type = 'layer';
error.subtype = 'aggregation';
error.layer = {
index: layerIndex,
type: layer.type
};
return callback(error);
}
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for (const { aggregate_function, aggregated_column } of Object.values(expressions)) {
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if (typeof aggregated_column !== 'string') {
const error = new Error(`Invalid aggregation input, aggregated column should be an string`);
error.http_status = 400;
error.type = 'layer';
error.subtype = 'aggregation';
error.layer = {
index: layerIndex,
type: layer.type
};
return callback(error);
}
if (typeof aggregate_function !== 'string') {
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const error = new Error(
`Invalid aggregation input, aggregate function should be an string`
);
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error.http_status = 400;
error.type = 'layer';
error.subtype = 'aggregation';
error.layer = {
index: layerIndex,
type: layer.type
};
return callback(error);
}
}
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}
}
const query = layer.options.sql_raw;
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const resolution = layer.options.aggregation.resolution || 1;
getColumnsName(pg, query, (err, columns) => {
if (err) {
return callback(err);
}
const { zoom, clusterId } = params;
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getClusterFeatures(pg, zoom, clusterId, columns, query, resolution, aggregation, (err, features) => {
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if (err) {
return callback(err);
}
return callback(null, features);
});
});
});
}
};
const SKIP_COLUMNS = {
'the_geom': true,
'the_geom_webmercator': true
};
function getColumnsName (pg, query, callback) {
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const sql = limitedQuery({
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query: query
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});
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debug('> getColumnsName:', sql);
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pg.query(sql, function (err, resultSet) {
if (err) {
return callback(err);
}
const fields = resultSet.fields || [];
const columnNames = fields.map(field => field.name)
.filter(columnName => !SKIP_COLUMNS[columnName]);
return callback(null, columnNames);
}, true);
}
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function getClusterFeatures (pg, zoom, clusterId, columns, query, resolution, aggregation, callback) {
let sql = clusterFeaturesQuery({
zoom: zoom,
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id: clusterId,
query: query,
res: 256/resolution,
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columns: columns
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});
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if (aggregation !== undefined) {
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let { columns = [], expressions = [] } = aggregation;
if (expressions) {
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expressions = Object.entries(expressions)
.map(([columnName, exp]) => `${exp.aggregate_function}(${exp.aggregated_column}) AS ${columnName}`);
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}
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sql = aggregationQuery({
columns,
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expressions,
query: sql
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});
}
debug('> getClusterFeatures:', sql);
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pg.query(sql, (err, data) => {
if (err) {
return callback(err);
}
return callback(null, data);
} , true); // use read-only transaction
}
const limitedQuery = ctx => `SELECT * FROM (${ctx.query}) __cdb_schema LIMIT 0`;
const clusterFeaturesQuery = ctx => `
WITH
_cdb_params AS (
SELECT
${gridResolution(ctx)} AS res
),
_cell AS (
SELECT
ST_MakeEnvelope(
Floor(ST_X(_cdb_query.the_geom_webmercator)/_cdb_params.res)*_cdb_params.res,
Floor(ST_Y(_cdb_query.the_geom_webmercator)/_cdb_params.res)*_cdb_params.res,
Floor(ST_X(_cdb_query.the_geom_webmercator)/_cdb_params.res + 1)*_cdb_params.res,
Floor(ST_Y(_cdb_query.the_geom_webmercator)/_cdb_params.res + 1)*_cdb_params.res,
3857
) AS bbox
FROM (${ctx.query}) _cdb_query, _cdb_params
WHERE _cdb_query.cartodb_id = ${ctx.id}
)
SELECT
${ctx.columns.join(', ')}
FROM (
SELECT _cdb_query.*
FROM _cell, (${ctx.query}) _cdb_query
WHERE ST_Intersects(_cdb_query.the_geom_webmercator, _cell.bbox)
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) __cdb_non_geoms_query
`;
const gridResolution = ctx => {
const minimumResolution = 2*Math.PI*6378137/Math.pow(2,38);
const pixelSize = `CDB_XYZ_Resolution(${ctx.zoom})`;
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return `GREATEST(${256/ctx.res}*${pixelSize}, ${minimumResolution})::double precision`;
};
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const aggregationQuery = ctx => `
SELECT
count(1) as _cdb_feature_count
${ctx.columns.length ? `,${ctx.columns.join(', ')}` : ''}
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${ctx.expressions.length ? `,${ctx.expressions.join(', ')}` : ''}
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FROM (${ctx.query}) __cdb_aggregation
${ctx.columns.length ? `GROUP BY ${ctx.columns.join(', ')}` : ''}
`;
// TODO: update when https://github.com/CartoDB/Windshaft-cartodb/pull/1082 is merged
function hasAggregationLayer (mapConfig, layerIndex) {
const layer = mapConfig.getLayer(layerIndex);
if (typeof layer.options.aggregation === 'boolean') {
return layer.options.aggregation;
}
return mapConfig.isAggregationLayer(layerIndex);
}
function hasColumns (columns) {
return Array.isArray(columns) && columns.length;
}
function isValidExpression (expressions) {
const invalidTypes = ['string', 'number', 'boolean'];
return expressions !== null && !Array.isArray(expressions) && !invalidTypes.includes(typeof expressions);
}