2018-10-24 00:39:02 +08:00
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'use strict';
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2019-10-07 16:44:45 +08:00
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require('../../support/test-helper');
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2016-06-20 22:20:48 +08:00
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var assert = require('../../support/assert');
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var TestClient = require('../../support/test-client');
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2019-10-22 01:07:24 +08:00
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describe('aggregations happy cases', function () {
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afterEach(function (done) {
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2016-06-20 22:20:48 +08:00
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if (this.testClient) {
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this.testClient.drain(done);
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} else {
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done();
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}
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});
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2019-10-22 01:07:24 +08:00
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function aggregationOperationMapConfig (operation, query, column, aggregationColumn) {
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2017-01-17 00:00:28 +08:00
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column = column || 'adm0name';
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aggregationColumn = aggregationColumn || 'pop_max';
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2017-01-17 02:23:08 +08:00
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query = query || 'select * from populated_places_simple_reduced';
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2017-01-17 00:00:28 +08:00
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var mapConfig = {
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2016-06-20 22:20:48 +08:00
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version: '1.5.0',
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layers: [
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{
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type: 'mapnik',
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options: {
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2017-01-17 02:23:08 +08:00
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sql: query,
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2016-06-20 22:20:48 +08:00
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cartocss: '#layer0 { marker-fill: red; marker-width: 10; }',
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cartocss_version: '2.0.1',
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2017-01-17 00:00:28 +08:00
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widgets: {}
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2016-06-20 22:20:48 +08:00
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}
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}
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]
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};
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2017-01-17 00:00:28 +08:00
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mapConfig.layers[0].options.widgets[column] = {
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type: 'aggregation',
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options: {
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column: column,
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aggregation: operation,
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aggregationColumn: aggregationColumn
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}
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};
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return mapConfig;
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2016-06-20 22:20:48 +08:00
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}
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var operations = ['count', 'sum', 'avg', 'max', 'min'];
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2019-10-22 01:07:24 +08:00
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operations.forEach(function (operation) {
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it('should be able to use "' + operation + '" as aggregation operation', function (done) {
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2016-06-20 22:20:48 +08:00
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this.testClient = new TestClient(aggregationOperationMapConfig(operation));
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this.testClient.getDataview('adm0name', { own_filter: 0 }, function (err, aggregation) {
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assert.ok(!err, err);
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assert.ok(aggregation);
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2019-10-22 01:41:03 +08:00
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assert.strictEqual(aggregation.type, 'aggregation');
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assert.strictEqual(aggregation.aggregation, operation);
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2016-06-20 22:20:48 +08:00
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done();
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});
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});
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});
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2017-01-17 00:00:28 +08:00
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2017-01-17 02:23:08 +08:00
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var query = [
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'select 1 as val, \'a\' as cat, ST_Transform(ST_SetSRID(ST_MakePoint(0,0),4326),3857) as the_geom_webmercator',
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'select null, \'b\', ST_Transform(ST_SetSRID(ST_MakePoint(0,1),4326),3857)',
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'select null, \'b\', ST_Transform(ST_SetSRID(ST_MakePoint(1,0),4326),3857)',
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'select null, null, ST_Transform(ST_SetSRID(ST_MakePoint(1,1),4326),3857)'
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].join(' UNION ALL ');
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2017-01-17 00:00:28 +08:00
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2017-01-17 02:23:08 +08:00
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operations.forEach(function (operation) {
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2018-03-09 00:39:36 +08:00
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var description = 'should handle NULL values in category and aggregation columns using "' +
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operation + '" as aggregation operation';
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2017-01-18 00:09:17 +08:00
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it(description, function (done) {
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2017-01-17 02:23:08 +08:00
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this.testClient = new TestClient(aggregationOperationMapConfig(operation, query, 'cat', 'val'));
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this.testClient.getDataview('cat', { own_filter: 0 }, function (err, aggregation) {
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assert.ifError(err);
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2017-01-17 00:00:28 +08:00
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2017-01-17 02:23:08 +08:00
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assert.ok(aggregation);
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2019-10-22 01:41:03 +08:00
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assert.strictEqual(aggregation.type, 'aggregation');
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2017-01-17 02:23:08 +08:00
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assert.ok(aggregation.categories);
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2019-10-22 01:41:03 +08:00
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assert.strictEqual(aggregation.categoriesCount, 3);
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assert.strictEqual(aggregation.count, 4);
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assert.strictEqual(aggregation.nulls, 1);
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2017-01-17 00:00:28 +08:00
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2017-01-17 02:23:08 +08:00
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var hasNullCategory = false;
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aggregation.categories.forEach(function (category) {
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if (category.category === null) {
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hasNullCategory = true;
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}
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});
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2017-01-18 00:09:17 +08:00
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2018-03-09 00:39:36 +08:00
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assert.ok(!hasNullCategory, 'aggregation has category NULL');
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2017-01-17 02:23:08 +08:00
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done();
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});
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2017-01-17 00:00:28 +08:00
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});
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});
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2017-03-02 17:48:20 +08:00
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2019-11-14 03:08:04 +08:00
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var operationsAndValues = { count: 9, sum: 45, avg: 5, max: 9, min: 1 };
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2017-03-02 17:48:20 +08:00
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2019-11-14 03:08:04 +08:00
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var queryOther = [
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2017-03-02 17:48:20 +08:00
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'select generate_series(1,3) as val, \'other_a\' as cat, NULL as the_geom_webmercator',
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'select generate_series(4,6) as val, \'other_b\' as cat, NULL as the_geom_webmercator',
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'select generate_series(7,9) as val, \'other_c\' as cat, NULL as the_geom_webmercator',
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'select generate_series(10,12) as val, \'category_1\' as cat, NULL as the_geom_webmercator',
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'select generate_series(10,12) as val, \'category_2\' as cat, NULL as the_geom_webmercator',
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'select generate_series(10,12) as val, \'category_3\' as cat, NULL as the_geom_webmercator',
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'select generate_series(10,12) as val, \'category_4\' as cat, NULL as the_geom_webmercator',
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'select generate_series(10,12) as val, \'category_5\' as cat, NULL as the_geom_webmercator'
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].join(' UNION ALL ');
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2019-11-14 03:08:04 +08:00
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Object.keys(operationsAndValues).forEach(function (operation) {
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2017-03-02 17:48:20 +08:00
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var description = 'should aggregate OTHER category using "' + operation + '"';
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it(description, function (done) {
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2019-11-14 03:08:04 +08:00
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this.testClient = new TestClient(aggregationOperationMapConfig(operation, queryOther, 'cat', 'val'));
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2017-03-02 17:48:20 +08:00
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this.testClient.getDataview('cat', { own_filter: 0 }, function (err, aggregation) {
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assert.ifError(err);
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assert.ok(aggregation);
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2019-10-22 01:41:03 +08:00
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assert.strictEqual(aggregation.type, 'aggregation');
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2017-03-02 17:48:20 +08:00
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assert.ok(aggregation.categories);
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2019-10-22 01:41:03 +08:00
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assert.strictEqual(aggregation.categoriesCount, 8);
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assert.strictEqual(aggregation.count, 24);
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assert.strictEqual(aggregation.nulls, 0);
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2017-03-02 17:48:20 +08:00
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2019-11-14 03:08:04 +08:00
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var aggregatedCategories = aggregation.categories.filter(function (category) {
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2017-03-02 17:48:20 +08:00
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return category.agg === true;
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});
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2019-11-14 03:08:04 +08:00
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assert.strictEqual(aggregatedCategories.length, 1);
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assert.strictEqual(aggregatedCategories[0].value, operationsAndValues[operation]);
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2017-03-02 17:48:20 +08:00
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done();
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});
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});
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});
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2017-07-10 18:29:25 +08:00
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var widgetSearchExpects = {
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2019-10-22 01:07:24 +08:00
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count: [{ category: 'other_a', value: 3 }],
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sum: [{ category: 'other_a', value: 6 }],
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avg: [{ category: 'other_a', value: 2 }],
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max: [{ category: 'other_a', value: 3 }],
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min: [{ category: 'other_a', value: 1 }]
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2017-07-10 18:29:25 +08:00
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};
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2019-11-14 03:08:04 +08:00
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Object.keys(operationsAndValues).forEach(function (operation) {
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2017-07-10 18:29:25 +08:00
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var description = 'should search OTHER category using "' + operation + '"';
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it(description, function (done) {
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2019-11-14 03:08:04 +08:00
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this.testClient = new TestClient(aggregationOperationMapConfig(operation, queryOther, 'cat', 'val'));
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2017-07-10 18:29:25 +08:00
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this.testClient.widgetSearch('cat', 'other_a', function (err, res, searchResult) {
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assert.ifError(err);
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assert.ok(searchResult);
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2019-10-22 01:41:03 +08:00
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assert.strictEqual(searchResult.type, 'aggregation');
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2017-07-10 18:29:25 +08:00
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2019-10-22 01:41:03 +08:00
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assert.strictEqual(searchResult.categories.length, 1);
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2019-10-22 01:52:51 +08:00
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assert.deepStrictEqual(
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2017-07-10 18:29:25 +08:00
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searchResult.categories,
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widgetSearchExpects[operation]
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);
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done();
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});
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});
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});
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2016-06-20 22:20:48 +08:00
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});
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2017-06-13 00:15:39 +08:00
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2019-10-22 01:07:24 +08:00
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describe('aggregation-dataview: special float values', function () {
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afterEach(function (done) {
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2017-06-13 00:15:39 +08:00
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if (this.testClient) {
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this.testClient.drain(done);
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} else {
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done();
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}
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});
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2019-10-22 01:07:24 +08:00
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function createMapConfig (layers, dataviews, analysis) {
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2017-06-13 00:15:39 +08:00
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return {
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version: '1.5.0',
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layers: layers,
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dataviews: dataviews || {},
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analyses: analysis || []
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};
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}
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var mapConfig = createMapConfig(
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[
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{
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2019-10-22 01:07:24 +08:00
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type: 'cartodb',
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options: {
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source: {
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id: 'a0'
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2017-06-13 00:15:39 +08:00
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},
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2019-10-22 01:07:24 +08:00
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cartocss: '#points { marker-width: 10; marker-fill: red; }',
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cartocss_version: '2.3.0'
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2017-06-13 00:15:39 +08:00
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}
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}
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],
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{
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val_aggregation: {
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source: {
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id: 'a0'
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},
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type: 'aggregation',
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options: {
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column: 'cat',
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2017-06-13 01:45:06 +08:00
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aggregation: 'avg',
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2017-06-13 00:15:39 +08:00
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aggregationColumn: 'val'
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}
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2017-06-22 00:44:21 +08:00
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},
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sum_aggregation_numeric: {
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source: {
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id: 'a1'
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},
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type: 'aggregation',
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options: {
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column: 'cat',
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aggregation: 'sum',
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aggregationColumn: 'val'
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}
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2017-06-13 00:15:39 +08:00
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}
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},
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[
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{
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2019-10-22 01:07:24 +08:00
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id: 'a0',
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type: 'source',
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params: {
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query: [
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2017-06-13 00:15:39 +08:00
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'SELECT',
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' null::geometry the_geom_webmercator,',
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' CASE',
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' WHEN x % 4 = 0 THEN \'infinity\'::float',
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' WHEN x % 4 = 1 THEN \'-infinity\'::float',
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' WHEN x % 4 = 2 THEN \'NaN\'::float',
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' ELSE x',
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' END AS val,',
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' CASE',
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' WHEN x % 2 = 0 THEN \'category_1\'',
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' ELSE \'category_2\'',
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' END AS cat',
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'FROM generate_series(1, 1000) x'
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].join('\n')
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}
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2017-06-22 00:44:21 +08:00
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}, {
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2019-10-22 01:07:24 +08:00
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id: 'a1',
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type: 'source',
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params: {
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query: [
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2017-06-22 00:44:21 +08:00
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'SELECT',
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' null::geometry the_geom_webmercator,',
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' CASE',
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' WHEN x % 3 = 0 THEN \'NaN\'::numeric',
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' WHEN x % 3 = 1 THEN x',
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' ELSE x',
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' END AS val,',
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' CASE',
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' WHEN x % 2 = 0 THEN \'category_1\'',
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' ELSE \'category_2\'',
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' END AS cat',
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'FROM generate_series(1, 1000) x'
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].join('\n')
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}
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2017-06-13 00:15:39 +08:00
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}
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]
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);
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2017-06-22 00:44:21 +08:00
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// Source a0
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// -----------------------------------------------
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2017-06-13 01:45:06 +08:00
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// the_geom_webmercator | val | cat
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// ----------------------+-----------+------------
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// | -Infinity | category_2
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// | NaN | category_1
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// | 3 | category_2
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// | Infinity | category_1
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// | -Infinity | category_2
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// | NaN | category_1
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// | 7 | category_2
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// | Infinity | category_1
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// | -Infinity | category_2
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// | NaN | category_1
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// | 11 | category_2
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// | " | "
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2017-06-13 01:22:37 +08:00
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var filters = [{ own_filter: 0 }, {}];
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filters.forEach(function (filter) {
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2019-10-22 01:07:24 +08:00
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it('should handle special float values using filter: ' + JSON.stringify(filter), function (done) {
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2017-06-13 01:21:41 +08:00
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this.testClient = new TestClient(mapConfig, 1234);
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2019-10-22 01:07:24 +08:00
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this.testClient.getDataview('val_aggregation', filter, function (err, dataview) {
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2017-06-13 01:21:41 +08:00
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assert.ifError(err);
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assert.ok(dataview.infinities === (250 + 250));
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assert.ok(dataview.nans === 250);
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2017-06-13 01:45:06 +08:00
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assert.ok(dataview.categories.length === 1);
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dataview.categories.forEach(function (category) {
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assert.ok(category.category === 'category_2');
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assert.ok(category.value === 501);
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2017-06-13 01:49:58 +08:00
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});
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2017-06-13 01:21:41 +08:00
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done();
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});
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2017-06-13 00:15:39 +08:00
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});
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2017-06-22 00:44:21 +08:00
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2019-10-22 01:07:24 +08:00
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it('should handle special numeric values using filter: ' + JSON.stringify(filter), function (done) {
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2017-06-22 00:44:21 +08:00
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this.testClient = new TestClient(mapConfig, 1234);
|
2019-10-22 01:07:24 +08:00
|
|
|
this.testClient.getDataview('sum_aggregation_numeric', filter, function (err, dataview) {
|
2017-06-22 00:44:21 +08:00
|
|
|
assert.ifError(err);
|
|
|
|
assert.ok(dataview.nans === 333);
|
|
|
|
assert.ok(dataview.categories.length === 2);
|
|
|
|
dataview.categories.forEach(function (category) {
|
|
|
|
assert.ok(category.value !== null);
|
|
|
|
});
|
|
|
|
done();
|
|
|
|
});
|
|
|
|
});
|
2017-06-13 01:49:58 +08:00
|
|
|
});
|
2017-06-13 00:15:39 +08:00
|
|
|
});
|
2017-11-07 19:51:48 +08:00
|
|
|
|
2017-11-07 23:14:47 +08:00
|
|
|
describe('aggregation dataview tuned by categories query param', function () {
|
2017-11-07 19:51:48 +08:00
|
|
|
const mapConfig = {
|
|
|
|
version: '1.5.0',
|
|
|
|
layers: [
|
|
|
|
{
|
2019-10-22 01:07:24 +08:00
|
|
|
type: 'cartodb',
|
2017-11-07 19:51:48 +08:00
|
|
|
options: {
|
|
|
|
source: {
|
2019-10-22 01:07:24 +08:00
|
|
|
id: 'a0'
|
2017-11-07 19:51:48 +08:00
|
|
|
},
|
2019-10-22 01:07:24 +08:00
|
|
|
cartocss: '#points { marker-width: 10; marker-fill: red; }',
|
|
|
|
cartocss_version: '2.3.0'
|
2017-11-07 19:51:48 +08:00
|
|
|
}
|
|
|
|
}
|
|
|
|
],
|
|
|
|
dataviews: {
|
|
|
|
categories: {
|
|
|
|
source: {
|
|
|
|
id: 'a0'
|
|
|
|
},
|
|
|
|
type: 'aggregation',
|
|
|
|
options: {
|
|
|
|
column: 'cat',
|
|
|
|
aggregation: 'sum',
|
|
|
|
aggregationColumn: 'val'
|
|
|
|
}
|
|
|
|
}
|
|
|
|
},
|
|
|
|
analyses: [
|
|
|
|
{
|
2019-10-22 01:07:24 +08:00
|
|
|
id: 'a0',
|
|
|
|
type: 'source',
|
2017-11-07 19:51:48 +08:00
|
|
|
params: {
|
|
|
|
query: `
|
|
|
|
SELECT
|
|
|
|
null::geometry the_geom_webmercator,
|
|
|
|
CASE
|
|
|
|
WHEN x % 4 = 0 THEN 1
|
|
|
|
WHEN x % 4 = 1 THEN 2
|
|
|
|
WHEN x % 4 = 2 THEN 3
|
|
|
|
ELSE 4
|
|
|
|
END AS val,
|
|
|
|
CASE
|
|
|
|
WHEN x % 4 = 0 THEN 'category_1'
|
|
|
|
WHEN x % 4 = 1 THEN 'category_2'
|
|
|
|
WHEN x % 4 = 2 THEN 'category_3'
|
|
|
|
ELSE 'category_4'
|
|
|
|
END AS cat
|
|
|
|
FROM generate_series(1, 1000) x
|
|
|
|
`
|
|
|
|
}
|
|
|
|
}
|
|
|
|
]
|
|
|
|
};
|
|
|
|
|
2017-11-07 23:28:37 +08:00
|
|
|
beforeEach(function () {
|
|
|
|
this.testClient = new TestClient(mapConfig, 1234);
|
|
|
|
});
|
|
|
|
|
|
|
|
afterEach(function (done) {
|
|
|
|
this.testClient.drain(done);
|
|
|
|
});
|
|
|
|
|
2017-11-07 23:14:47 +08:00
|
|
|
var scenarios = [
|
|
|
|
{
|
|
|
|
params: { own_filter: 0, categories: -1 },
|
|
|
|
categoriesExpected: 4
|
|
|
|
},
|
|
|
|
{
|
|
|
|
params: { own_filter: 0, categories: 0 },
|
|
|
|
categoriesExpected: 4
|
|
|
|
},
|
|
|
|
{
|
|
|
|
params: { own_filter: 0, categories: 1 },
|
|
|
|
categoriesExpected: 1
|
|
|
|
},
|
|
|
|
{
|
|
|
|
params: { own_filter: 0, categories: 2 },
|
|
|
|
categoriesExpected: 2
|
|
|
|
},
|
|
|
|
{
|
|
|
|
params: { own_filter: 0, categories: 4 },
|
|
|
|
categoriesExpected: 4
|
|
|
|
},
|
|
|
|
{
|
|
|
|
params: { own_filter: 0, categories: 5 },
|
|
|
|
categoriesExpected: 4
|
|
|
|
}
|
|
|
|
];
|
2017-11-07 19:51:48 +08:00
|
|
|
|
2017-11-07 23:14:47 +08:00
|
|
|
scenarios.forEach(function (scenario) {
|
|
|
|
it(`should handle cartegories to customize aggregations: ${JSON.stringify(scenario.params)}`, function (done) {
|
|
|
|
this.testClient.getDataview('categories', scenario.params, (err, dataview) => {
|
|
|
|
assert.ifError(err);
|
2019-10-22 01:41:03 +08:00
|
|
|
assert.strictEqual(dataview.categories.length, scenario.categoriesExpected);
|
2017-11-07 23:14:47 +08:00
|
|
|
done();
|
|
|
|
});
|
2017-11-07 19:51:48 +08:00
|
|
|
});
|
|
|
|
});
|
|
|
|
});
|
2018-03-09 00:39:36 +08:00
|
|
|
|
|
|
|
describe('Count aggregation', function () {
|
|
|
|
const mapConfig = {
|
|
|
|
version: '1.5.0',
|
|
|
|
layers: [
|
|
|
|
{
|
2019-10-22 01:07:24 +08:00
|
|
|
type: 'cartodb',
|
2018-03-09 00:39:36 +08:00
|
|
|
options: {
|
|
|
|
source: {
|
2019-10-22 01:07:24 +08:00
|
|
|
id: 'a0'
|
2018-03-09 00:39:36 +08:00
|
|
|
},
|
2019-10-22 01:07:24 +08:00
|
|
|
cartocss: '#points { marker-width: 10; marker-fill: red; }',
|
|
|
|
cartocss_version: '2.3.0'
|
2018-03-09 00:39:36 +08:00
|
|
|
}
|
|
|
|
}
|
|
|
|
],
|
|
|
|
dataviews: {
|
|
|
|
categories: {
|
|
|
|
source: {
|
|
|
|
id: 'a0'
|
|
|
|
},
|
|
|
|
type: 'aggregation',
|
|
|
|
options: {
|
|
|
|
column: 'cat',
|
|
|
|
aggregation: 'count'
|
|
|
|
}
|
|
|
|
}
|
|
|
|
},
|
|
|
|
analyses: [
|
|
|
|
{
|
2019-10-22 01:07:24 +08:00
|
|
|
id: 'a0',
|
|
|
|
type: 'source',
|
2018-03-09 00:39:36 +08:00
|
|
|
params: {
|
|
|
|
query: `
|
|
|
|
SELECT
|
|
|
|
null::geometry the_geom_webmercator,
|
|
|
|
CASE
|
|
|
|
WHEN x % 4 = 0 THEN 1
|
|
|
|
WHEN x % 4 = 1 THEN 2
|
|
|
|
WHEN x % 4 = 2 THEN 3
|
|
|
|
ELSE null
|
|
|
|
END AS val,
|
|
|
|
CASE
|
|
|
|
WHEN x % 4 = 0 THEN 'category_1'
|
|
|
|
WHEN x % 4 = 1 THEN 'category_2'
|
|
|
|
WHEN x % 4 = 2 THEN 'category_3'
|
|
|
|
ELSE null
|
|
|
|
END AS cat
|
|
|
|
FROM generate_series(1, 1000) x
|
|
|
|
`
|
|
|
|
}
|
|
|
|
}
|
|
|
|
]
|
|
|
|
};
|
|
|
|
|
2019-10-22 01:07:24 +08:00
|
|
|
it('should handle null values correctly when aggregationColumn isn\'t provided', function (done) {
|
2018-03-09 00:39:36 +08:00
|
|
|
this.testClient = new TestClient(mapConfig, 1234);
|
|
|
|
this.testClient.getDataview('categories', { own_filter: 0, categories: 0 }, (err, dataview) => {
|
|
|
|
assert.ifError(err);
|
2019-10-22 01:41:03 +08:00
|
|
|
assert.strictEqual(dataview.categories.length, 3);
|
2018-03-09 00:39:36 +08:00
|
|
|
this.testClient.drain(done);
|
|
|
|
});
|
|
|
|
});
|
|
|
|
|
2019-10-22 01:07:24 +08:00
|
|
|
it('should handle null values correctly when aggregationColumn is provided', function (done) {
|
2018-03-09 00:39:36 +08:00
|
|
|
mapConfig.dataviews.categories.options.aggregationColumn = 'val';
|
|
|
|
this.testClient = new TestClient(mapConfig, 1234);
|
|
|
|
this.testClient.getDataview('categories', { own_filter: 0, categories: 0 }, (err, dataview) => {
|
|
|
|
assert.ifError(err);
|
2019-10-22 01:41:03 +08:00
|
|
|
assert.strictEqual(dataview.categories.length, 3);
|
2018-03-09 00:39:36 +08:00
|
|
|
this.testClient.drain(done);
|
|
|
|
});
|
|
|
|
});
|
2018-05-10 21:59:38 +08:00
|
|
|
});
|