Merge branch 'master' into windshaft-remove-step

This commit is contained in:
Simon Martín 2018-09-24 11:16:45 +02:00
commit f9b8152f21
2 changed files with 217 additions and 112 deletions

View File

@ -276,23 +276,24 @@ const spatialFilter = `
// * This queries are used for rendering and the_geom is omitted in the results for better performance
// * If the MVT extent or tile buffer was 0 or a multiple of the resolution we could use directly
// the bbox for them, but in general we need to find the nearest cell limits inside the bbox.
// * bbox coordinates can have an error in the last digites; we apply a small correction before
// applying CEIL or FLOOR to compensate for this.
// * bbox coordinates can have an error in the last digits; we apply a small correction before
// applying CEIL or FLOOR to compensate for this, so that coordinates closer than a small (`eps`)
// fraction of the cell size to a cell limit are moved to the exact limit.
const sqlParams = (ctx) => `
_cdb_res AS (
SELECT
${gridResolution(ctx)} AS res,
!bbox! AS bbox,
(2*2.220446049250313e-16::double precision) AS eps
(1E-6::double precision) AS eps
),
_cdb_params AS (
SELECT
res,
bbox,
CEIL((ST_XMIN(bbox) - eps*ABS(ST_XMIN(bbox)))/res)*res AS xmin,
FLOOR((ST_XMAX(bbox) + eps*ABS(ST_XMAX(bbox)))/res)*res AS xmax,
CEIL((ST_YMIN(bbox) - eps*ABS(ST_YMIN(bbox)))/res)*res AS ymin,
FLOOR((ST_YMAX(bbox) + eps*ABS(ST_YMAX(bbox)))/res)*res AS ymax
CEIL((ST_XMIN(bbox) - eps*res)/res)*res AS xmin,
FLOOR((ST_XMAX(bbox) + eps*res)/res)*res AS xmax,
CEIL((ST_YMIN(bbox) - eps*res)/res)*res AS ymin,
FLOOR((ST_YMAX(bbox) + eps*res)/res)*res AS ymax
FROM _cdb_res
)
`;
@ -381,7 +382,7 @@ const aggregationQueryTemplates = {
)
SELECT
_cdb_clusters.cartodb_id,
the_geom, the_geom_webmercator
the_geom_webmercator
${dimensionNames(ctx, '_cdb_clusters')}
${aggregateColumnNames(ctx, '_cdb_clusters')}
FROM

View File

@ -171,7 +171,7 @@ describe('aggregation', function () {
//
const POINTS_SQL_GRID = `
WITH params AS (
SELECT CDB_XYZ_Resolution(1) AS l -- cell size for Z=1 res=1
SELECT CDB_XYZ_Resolution($Z)*$resolution AS l -- cell size for Z, resolution
)
SELECT
row_number() OVER () AS cartodb_id,
@ -1640,7 +1640,7 @@ describe('aggregation', function () {
});
});
['centroid', 'point-sample', 'point-grid'].forEach(placement => {
['centroid', 'point-sample', 'point-grid', 'default'].forEach(placement => {
it(`cartodb_id should be present in ${placement} aggregation`, function(done) {
this.mapConfig = createVectorMapConfig([
{
@ -1648,8 +1648,8 @@ describe('aggregation', function () {
options: {
sql: POINTS_SQL_1,
aggregation: {
placement: placement,
threshold: 1
threshold: 1,
placement: placement !== 'default' ? placement : undefined
},
cartocss: '#layer { marker-width: 1; }',
cartocss_version: '2.3.0',
@ -1673,16 +1673,16 @@ describe('aggregation', function () {
done();
});
});
});
it('should only require the_geom_webmercator for aggregation', function (done) {
it(`should only require the_geom_webmercator for ${placement} aggregation`, function (done) {
this.mapConfig = createVectorMapConfig([
{
type: 'cartodb',
options: {
sql: POINTS_SQL_ONLY_WEBMERCATOR,
aggregation: {
threshold: 1
threshold: 1,
placement: placement !== 'default' ? placement : undefined
}
}
}
@ -1704,7 +1704,7 @@ describe('aggregation', function () {
});
});
it('aggregation should work with attributes', function (done) {
it(`${placement} aggregation should work with attributes`, function (done) {
this.mapConfig = createVectorMapConfig([
{
type: 'cartodb',
@ -1740,6 +1740,7 @@ describe('aggregation', function () {
done();
});
});
});
['centroid', 'point-sample', 'point-grid'].forEach(placement => {
@ -2257,15 +2258,13 @@ describe('aggregation', function () {
sql: POINTS_SQL_0,
aggregation: {
threshold: 1,
resolution: 1
resolution: 1,
placement: placement !== 'default' ? placement : undefined
}
}
}
]
};
if (placement !== 'default') {
this.mapConfig.layers[0].options.aggregation.placement = placement;
}
this.testClient = new TestClient(this.mapConfig);
@ -2312,15 +2311,13 @@ describe('aggregation', function () {
sql: POINTS_SQL_1,
resolution: 1,
aggregation: {
threshold: 1
threshold: 1,
placement: placement !== 'default' ? placement : undefined
}
}
}
]
};
if (placement !== 'default') {
this.mapConfig.layers[0].options.aggregation.placement = placement;
}
this.testClient = new TestClient(this.mapConfig);
@ -2375,6 +2372,9 @@ describe('aggregation', function () {
});
it(`for ${placement} each aggr. cell is in a single tile`, function (done) {
const z = 1;
const resolution = 1;
const query = POINTS_SQL_GRID.replace('$Z', z).replace('$resolution', resolution);
this.mapConfig = {
version: '1.6.0',
buffersize: { 'mvt': 0 },
@ -2383,37 +2383,37 @@ describe('aggregation', function () {
type: 'cartodb',
options: {
sql: POINTS_SQL_GRID,
sql: query,
aggregation: {
threshold: 1,
resolution: 1
resolution: resolution,
placement: placement !== 'default' ? placement : undefined
}
}
}
]
};
if (placement !== 'default') {
this.mapConfig.layers[0].options.aggregation.placement = placement;
}
this.testClient = new TestClient(this.mapConfig);
this.testClient.getTile(1, 0, 0, { format: 'mvt' }, (err, res, mvt) => {
const c = Math.pow(2, z - 1) - 1; // center tile coordinates
this.testClient.getTile(z, c + 0, c + 0, { format: 'mvt' }, (err, res, mvt) => {
if (err) {
return done(err);
}
const tile00 = JSON.parse(mvt.toGeoJSONSync(0));
this.testClient.getTile(1, 0, 1, { format: 'mvt' }, (err, res, mvt) => {
this.testClient.getTile(z, c + 0, c + 1, { format: 'mvt' }, (err, res, mvt) => {
if (err) {
return done(err);
}
const tile01 = JSON.parse(mvt.toGeoJSONSync(0));
this.testClient.getTile(1, 1, 0, { format: 'mvt' }, (err, res, mvt) => {
this.testClient.getTile(z, c + 1, c + 0, { format: 'mvt' }, (err, res, mvt) => {
if (err) {
return done(err);
}
const tile10 = JSON.parse(mvt.toGeoJSONSync(0));
this.testClient.getTile(1, 1, 1, { format: 'mvt' }, (err, res, mvt) => {
this.testClient.getTile(z, c + 1, c + 1, { format: 'mvt' }, (err, res, mvt) => {
if (err) {
return done(err);
}
@ -2457,6 +2457,11 @@ describe('aggregation', function () {
it(`for ${placement} no partially aggregated cells`, function (done) {
// Use level 1 with resolution 2 tiles and buffersize 1 (half the cell size)
// Only the cells completely inside the buffer are aggregated
const z = 1;
const resolution = 2;
// space the test points by half the resolution:
const query = POINTS_SQL_GRID.replace('$Z', z).replace('$resolution', resolution/2);
this.mapConfig = {
version: '1.6.0',
buffersize: { 'mvt': 1 },
@ -2465,37 +2470,37 @@ describe('aggregation', function () {
type: 'cartodb',
options: {
sql: POINTS_SQL_GRID,
sql: query,
aggregation: {
threshold: 1,
resolution: 2
resolution: resolution,
placement: placement !== 'default' ? placement : undefined
}
}
}
]
};
if (placement !== 'default') {
this.mapConfig.layers[0].options.aggregation.placement = placement;
}
this.testClient = new TestClient(this.mapConfig);
this.testClient.getTile(1, 0, 0, { format: 'mvt' }, (err, res, mvt) => {
const c = Math.pow(2, z - 1) - 1; // center tile coordinates
this.testClient.getTile(z, c, c, { format: 'mvt' }, (err, res, mvt) => {
if (err) {
return done(err);
}
const tile00 = JSON.parse(mvt.toGeoJSONSync(0));
this.testClient.getTile(1, 0, 1, { format: 'mvt' }, (err, res, mvt) => {
this.testClient.getTile(z, c, c + 1, { format: 'mvt' }, (err, res, mvt) => {
if (err) {
return done(err);
}
const tile01 = JSON.parse(mvt.toGeoJSONSync(0));
this.testClient.getTile(1, 1, 0, { format: 'mvt' }, (err, res, mvt) => {
this.testClient.getTile(z, c + 1, c, { format: 'mvt' }, (err, res, mvt) => {
if (err) {
return done(err);
}
const tile10 = JSON.parse(mvt.toGeoJSONSync(0));
this.testClient.getTile(1, 1, 1, { format: 'mvt' }, (err, res, mvt) => {
this.testClient.getTile(z, c + 1, c + 1, { format: 'mvt' }, (err, res, mvt) => {
if (err) {
return done(err);
}
@ -2531,6 +2536,117 @@ describe('aggregation', function () {
});
});
it(`for ${placement} includes complete cells in buffer`, function (done) {
if (!usePostGIS && placement !== 'point-grid') {
// Mapnik seem to filter query results by its (inaccurate) bbox,
// which makes some aggregated clusters get lost here.
// The point-grid placement is resilient to this problem because the result
// coordinates are moved to cluster cell centers, so they're well within
// bbox limits.
this.testClient = new TestClient({});
return done();
}
// use buffersize coincident with resolution, the buffer should include neighbour cells
const z = 2;
const resolution = 1;
const query = POINTS_SQL_GRID.replace('$Z', z).replace('$resolution', resolution);
this.mapConfig = {
version: '1.6.0',
buffersize: { 'mvt': 1 },
layers: [
{
type: 'cartodb',
options: {
sql: query,
aggregation: {
threshold: 1,
resolution: resolution,
placement: placement !== 'default' ? placement : undefined
}
}
}
]
};
this.testClient = new TestClient(this.mapConfig);
const c = Math.pow(2, z - 1) - 1; // center tile coordinates
this.testClient.getTile(z, c, c, { format: 'mvt' }, (err, res, mvt) => {
if (err) {
return done(err);
}
const tile00 = JSON.parse(mvt.toGeoJSONSync(0));
this.testClient.getTile(z, c, c + 1, { format: 'mvt' }, (err, res, mvt) => {
if (err) {
return done(err);
}
const tile01 = JSON.parse(mvt.toGeoJSONSync(0));
this.testClient.getTile(z, c + 1, c, { format: 'mvt' }, (err, res, mvt) => {
if (err) {
return done(err);
}
const tile10 = JSON.parse(mvt.toGeoJSONSync(0));
this.testClient.getTile(z, c + 1, c + 1, { format: 'mvt' }, (err, res, mvt) => {
if (err) {
return done(err);
}
const tile11 = JSON.parse(mvt.toGeoJSONSync(0));
const tile00Expected = [
{ _cdb_feature_count: 2, cartodb_id: 1 },
{ _cdb_feature_count: 2, cartodb_id: 2 },
{ _cdb_feature_count: 2, cartodb_id: 4 },
{ _cdb_feature_count: 2, cartodb_id: 5 },
{ _cdb_feature_count: 1, cartodb_id: 7 },
{ _cdb_feature_count: 1, cartodb_id: 8 }
];
const tile10Expected = [
{ _cdb_feature_count: 2, cartodb_id: 1 },
{ _cdb_feature_count: 2, cartodb_id: 2 },
{ _cdb_feature_count: 1, cartodb_id: 3 },
{ _cdb_feature_count: 2, cartodb_id: 4 },
{ _cdb_feature_count: 2, cartodb_id: 5 },
{ _cdb_feature_count: 1, cartodb_id: 6 },
{ _cdb_feature_count: 1, cartodb_id: 7 },
{ _cdb_feature_count: 1, cartodb_id: 8 },
{ _cdb_feature_count: 1, cartodb_id: 9 }
];
const tile01Expected = [
{ _cdb_feature_count: 2, cartodb_id: 1 },
{ _cdb_feature_count: 2, cartodb_id: 2 },
{ _cdb_feature_count: 2, cartodb_id: 4 },
{ _cdb_feature_count: 2, cartodb_id: 5 }
];
const tile11Expected = [
{ _cdb_feature_count: 2, cartodb_id: 1 },
{ _cdb_feature_count: 2, cartodb_id: 2 },
{ _cdb_feature_count: 1, cartodb_id: 3 },
{ _cdb_feature_count: 2, cartodb_id: 4 },
{ _cdb_feature_count: 2, cartodb_id: 5 },
{ _cdb_feature_count: 1, cartodb_id: 6 }
];
const tile00Actual = tile00.features.map(f => f.properties);
const tile10Actual = tile10.features.map(f => f.properties);
const tile01Actual = tile01.features.map(f => f.properties);
const tile11Actual = tile11.features.map(f => f.properties);
const orderById = (a, b) => a.cartodb_id - b.cartodb_id;
assert.deepEqual(tile00Actual.sort(orderById), tile00Expected);
assert.deepEqual(tile10Actual.sort(orderById), tile10Expected);
assert.deepEqual(tile01Actual.sort(orderById), tile01Expected);
assert.deepEqual(tile11Actual.sort(orderById), tile11Expected);
done();
});
});
});
});
});
it(`for ${placement} points aggregated into corner cluster`, function (done) {
// this test will fail due to !bbox! lack of accuracy if strict cell filtering is in place
this.mapConfig = {
@ -2544,15 +2660,13 @@ describe('aggregation', function () {
sql: POINTS_SQL_CELL,
aggregation: {
threshold: 1,
resolution: 1
resolution: 1,
placement: placement !== 'default' ? placement : undefined
}
}
}
]
};
if (placement !== 'default') {
this.mapConfig.layers[0].options.aggregation.placement = placement;
}
this.testClient = new TestClient(this.mapConfig);
@ -2584,15 +2698,13 @@ describe('aggregation', function () {
sql: POINTS_SQL_CELL_INNER,
aggregation: {
threshold: 1,
resolution: 1
resolution: 1,
placement: placement !== 'default' ? placement : undefined
}
}
}
]
};
if (placement !== 'default') {
this.mapConfig.layers[0].options.aggregation.placement = placement;
}
this.testClient = new TestClient(this.mapConfig);
@ -2627,15 +2739,13 @@ describe('aggregation', function () {
sql: POINTS_SQL_PAIRS,
aggregation: {
threshold: 1,
resolution: 1
resolution: 1,
placement: placement !== 'default' ? placement : undefined
}
}
}
]
};
if (placement !== 'default') {
this.mapConfig.layers[0].options.aggregation.placement = placement;
}
this.testClient = new TestClient(this.mapConfig);
this.testClient.getLayergroup((err, body) => {
@ -2665,7 +2775,8 @@ describe('aggregation', function () {
sql: POINTS_SQL_PAIRS,
aggregation: {
threshold: 1,
resolution: 1
resolution: 1,
placement: placement !== 'default' ? placement : undefined
},
metadata: {
aggrFeatureCount: 10
@ -2674,9 +2785,6 @@ describe('aggregation', function () {
}
]
};
if (placement !== 'default') {
this.mapConfig.layers[0].options.aggregation.placement = placement;
}
this.testClient = new TestClient(this.mapConfig);
this.testClient.getLayergroup((err, body) => {
@ -2706,7 +2814,8 @@ describe('aggregation', function () {
sql: POINTS_SQL_PAIRS,
aggregation: {
threshold: 1,
resolution: 1
resolution: 1,
placement: placement !== 'default' ? placement : undefined
},
metadata: {
aggrFeatureCount: 0
@ -2715,9 +2824,6 @@ describe('aggregation', function () {
}
]
};
if (placement !== 'default') {
this.mapConfig.layers[0].options.aggregation.placement = placement;
}
this.testClient = new TestClient(this.mapConfig);
this.testClient.getLayergroup((err, body) => {
@ -2747,7 +2853,8 @@ describe('aggregation', function () {
sql: POINTS_SQL_PAIRS,
aggregation: {
threshold: 1,
resolution: 1
resolution: 1,
placement: placement !== 'default' ? placement : undefined
},
metadata: {
featureCount: true
@ -2756,9 +2863,6 @@ describe('aggregation', function () {
}
]
};
if (placement !== 'default') {
this.mapConfig.layers[0].options.aggregation.placement = placement;
}
this.testClient = new TestClient(this.mapConfig);
this.testClient.getLayergroup((err, body) => {