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ChinesePostGIS 3.6.1 Spatial Database
PostGIS 3.6.1 空间数据库
Overview
概述
PostGIS 3.6.1 (with GEOS 3.14) brings significant improvements: ST_CoverageClean for topology repair, enhanced SFCGAL 3D operations, bigint topology support for massive datasets, and improved PostgreSQL 18 integration. This skill ensures you leverage these capabilities correctly.
Core principle: Spatial is special. Generic database patterns often fail with geographic data.
Announce at start: "I'm applying postgis to ensure PostGIS 3.6.1 spatial best practices."
PostGIS 3.6.1(搭配GEOS 3.14)带来了多项重大改进:用于拓扑修复的ST_CoverageClean、增强的SFCGAL 3D运算、支持海量数据集的bigint拓扑,以及与PostgreSQL 18的集成优化。本规范确保你能正确利用这些功能。
核心原则:空间数据具有特殊性。通用的数据库模式在处理地理数据时常会失效。
启动时声明:"我正在应用postgis规范以确保遵循PostGIS 3.6.1的空间最佳实践。"
When This Skill Applies
本规范的适用场景
This skill is MANDATORY when ANY of these patterns are touched:
| Pattern | Examples |
|---|---|
| models/geography.ts, geo_utils.py |
| lib/spatial.ts |
| services/locationService.ts |
| types/coordinates.ts |
| db/polygons.sql |
| migrations/add_geometry.sql |
| setup/postgis.sql |
| utils/gis.ts |
Or when files contain:
sql
-- These patterns trigger this skill
ST_*
geography
geometry
SRID当涉及以下任何模式时,必须遵循本规范:
| 模式 | 示例 |
|---|---|
| models/geography.ts, geo_utils.py |
| lib/spatial.ts |
| services/locationService.ts |
| types/coordinates.ts |
| db/polygons.sql |
| migrations/add_geometry.sql |
| setup/postgis.sql |
| utils/gis.ts |
或者当文件包含以下内容时:
sql
-- 这些模式会触发本规范
ST_*
geography
geometry
SRIDPostGIS 3.6.1 Features
PostGIS 3.6.1 功能特性
1. ST_CoverageClean (New in 3.6.1)
1. ST_CoverageClean(3.6.1新增)
Coverage cleaning repairs topological errors in polygon collections. Requires GEOS 3.14:
sql
-- Clean a set of polygons that should form a seamless coverage
-- Fixes: overlaps, gaps, edge inconsistencies
SELECT ST_CoverageClean(
ARRAY[polygon1, polygon2, polygon3]::geometry[]
) AS cleaned_polygons;
-- Use case: Administrative boundaries, parcels, zones
-- Before: Manual repair with ST_MakeValid, ST_SnapToGrid
-- After: Single function handles entire coverage
-- Example: Clean municipal boundaries
WITH boundaries AS (
SELECT geom FROM municipalities
)
SELECT ST_CoverageClean(array_agg(geom))
FROM boundaries;When to use:
- Importing GIS data with topological errors
- Merging datasets from different sources
- Ensuring seamless coverage (no gaps/overlaps)
- Cadastral/parcel data management
Coverage清理可修复多边形集合中的拓扑错误,需要搭配GEOS 3.14:
sql
-- 清理应形成无缝覆盖的多边形集合
-- 修复:重叠、间隙、边不一致等问题
SELECT ST_CoverageClean(
ARRAY[polygon1, polygon2, polygon3]::geometry[]
) AS cleaned_polygons;
-- 适用场景:行政边界、地块、区域
-- 之前:使用ST_MakeValid、ST_SnapToGrid手动修复
-- 现在:单个函数即可处理整个覆盖区域
-- 示例:清理市政边界
WITH boundaries AS (
SELECT geom FROM municipalities
)
SELECT ST_CoverageClean(array_agg(geom))
FROM boundaries;适用时机:
- 导入存在拓扑错误的GIS数据
- 合并来自不同数据源的数据集
- 确保无缝覆盖(无间隙/重叠)
- 地籍/地块数据管理
2. SFCGAL 3D Functions
2. SFCGAL 3D函数
PostGIS 3.6.1 includes enhanced SFCGAL support for 3D operations:
sql
-- Enable SFCGAL (if not already enabled)
CREATE EXTENSION IF NOT EXISTS postgis_sfcgal;
-- 3D intersection (true 3D, not projection)
SELECT ST_3DIntersection(
ST_GeomFromText('POLYHEDRALSURFACE Z (...)'),
ST_GeomFromText('POLYHEDRALSURFACE Z (...)')
);
-- 3D union
SELECT ST_3DUnion(geom1, geom2);
-- 3D area (actual surface area in 3D)
SELECT ST_3DArea(polyhedral_surface);
-- Minkowski sum (for buffer-like operations in 3D)
SELECT ST_MinkowskiSum(geometry1, geometry2);
-- Straight skeleton (for building roofs, etc.)
SELECT ST_StraightSkeleton(polygon);
-- Extrude 2D to 3D
SELECT ST_Extrude(polygon, 0, 0, height);Use cases:
- Building/structure modeling
- Underground infrastructure
- Airspace management
- 3D terrain analysis
PostGIS 3.6.1增强了对SFCGAL的支持,可实现3D运算:
sql
-- 启用SFCGAL(如果尚未启用)
CREATE EXTENSION IF NOT EXISTS postgis_sfcgal;
-- 3D交集(真正的3D运算,而非投影)
SELECT ST_3DIntersection(
ST_GeomFromText('POLYHEDRALSURFACE Z (...)'),
ST_GeomFromText('POLYHEDRALSURFACE Z (...)')
);
-- 3D并集
SELECT ST_3DUnion(geom1, geom2);
-- 3D面积(3D空间中的实际表面积)
SELECT ST_3DArea(polyhedral_surface);
-- 闵可夫斯基和(用于3D中的类缓冲区运算)
SELECT ST_MinkowskiSum(geometry1, geometry2);
-- 直线骨架(用于建筑屋顶建模等)
SELECT ST_StraightSkeleton(polygon);
-- 将2D几何拉伸为3D
SELECT ST_Extrude(polygon, 0, 0, height);适用场景:
- 建筑/结构建模
- 地下基础设施
- 空域管理
- 3D地形分析
3. Bigint Topology Support
3. Bigint拓扑支持
PostGIS 3.6.1 supports bigint topology IDs for massive datasets:
sql
-- Create topology with bigint IDs (new in 3.6.1)
SELECT CreateTopology('massive_parcels', 4326, 0.0000001, true);
-- Last parameter: use_bigint = true
-- Supports > 2 billion features per topology
-- Previous limit: ~2 billion (int4 max)
-- Add layer
SELECT AddTopoGeometryColumn('massive_parcels', 'public', 'parcels', 'topogeom', 'POLYGON');
-- TopoGeometry operations work the same
SELECT ST_CreateTopoGeo('massive_parcels', geom);When to use:
- National/continental scale datasets
- High-resolution parcel data
- OpenStreetMap imports
- Any topology > 2 billion edges
PostGIS 3.6.1支持使用bigint拓扑ID处理海量数据集:
sql
-- 创建使用bigint ID的拓扑(3.6.1新增)
SELECT CreateTopology('massive_parcels', 4326, 0.0000001, true);
-- 最后一个参数:use_bigint = true
-- 支持每个拓扑超过20亿个要素
-- 之前的限制:约20亿(int4最大值)
-- 添加图层
SELECT AddTopoGeometryColumn('massive_parcels', 'public', 'parcels', 'topogeom', 'POLYGON');
-- TopoGeometry运算方式保持不变
SELECT ST_CreateTopoGeo('massive_parcels', geom);适用时机:
- 国家/大陆级数据集
- 高分辨率地块数据
- OpenStreetMap导入
- 任何拓扑要素超过20亿条边的场景
4. PostgreSQL 18 Interrupt Handling
4. PostgreSQL 18中断处理
PostGIS 3.6.1 properly handles PostgreSQL 18's improved query cancellation:
sql
-- Long-running spatial operations can now be cancelled cleanly
-- No more orphaned locks or corrupted state
-- Example: Cancellable heavy operation
SELECT ST_Union(geom)
FROM very_large_table
GROUP BY region;
-- ^C now works properly
-- COPY operations with PostGIS also respect cancellation
COPY (SELECT id, ST_AsGeoJSON(geom) FROM features) TO '/tmp/export.json';PostGIS 3.6.1可正确处理PostgreSQL 18改进后的查询取消机制:
sql
-- 长时间运行的空间运算现在可被正常取消
-- 不再出现孤立锁或状态损坏
-- 示例:可取消的重型运算
SELECT ST_Union(geom)
FROM very_large_table
GROUP BY region;
-- 现在按^C可正常取消
-- 搭配PostGIS的COPY运算也支持取消
COPY (SELECT id, ST_AsGeoJSON(geom) FROM features) TO '/tmp/export.json';Data Types
数据类型
Geometry vs Geography
Geometry vs Geography
sql
-- GEOMETRY: Planar coordinates, any SRID
-- Faster computations, less accurate over large distances
CREATE TABLE places_geometry (
id uuid PRIMARY KEY DEFAULT uuidv7(),
location geometry(Point, 4326) -- WGS84
);
-- GEOGRAPHY: Spherical coordinates, always WGS84
-- Accurate distances/areas, slower computations
CREATE TABLE places_geography (
id uuid PRIMARY KEY DEFAULT uuidv7(),
location geography(Point, 4326) -- Always WGS84
);
-- When to use GEOMETRY:
-- - Local/city-scale applications
-- - Need complex operations (union, intersection)
-- - Performance critical
-- - Non-earth data (game maps, floor plans)
-- When to use GEOGRAPHY:
-- - Global applications
-- - Distance/area accuracy matters
-- - Simple operations (distance, contains)
-- - User-facing distance calculationssql
-- GEOMETRY:平面坐标,支持任意SRID
-- 运算速度更快,大距离下精度较低
CREATE TABLE places_geometry (
id uuid PRIMARY KEY DEFAULT uuidv7(),
location geometry(Point, 4326) -- WGS84坐标系
);
-- GEOGRAPHY:球面坐标,始终使用WGS84
-- 距离/面积计算准确,运算速度较慢
CREATE TABLE places_geography (
id uuid PRIMARY KEY DEFAULT uuidv7(),
location geography(Point, 4326) -- 始终为WGS84
);
-- 何时使用GEOMETRY:
-- - 本地/城市级应用
-- - 需要复杂运算(并集、交集)
-- - 性能优先
-- - 非地球数据(游戏地图、楼层平面图)
-- 何时使用GEOGRAPHY:
-- - 全球级应用
-- - 距离/面积精度要求高
-- - 简单运算(距离、包含)
-- - 用户可见的距离计算Choosing SRID
SRID选择
sql
-- Common SRIDs:
-- 4326: WGS84 (GPS coordinates, web maps)
-- 3857: Web Mercator (tile-based web maps, display only)
-- Local projections for accurate measurements
-- ALWAYS store in 4326 (WGS84) as source of truth
-- Transform for calculations when needed
CREATE TABLE locations (
id uuid PRIMARY KEY DEFAULT uuidv7(),
name text NOT NULL,
location geography(Point, 4326), -- Storage
location_local geometry(Point) -- NULL, computed as needed
);
-- Transform for local calculations
SELECT ST_Transform(
location::geometry,
32610 -- UTM Zone 10N (California)
) FROM locations WHERE name = 'San Francisco';sql
-- 常见SRID:
-- 4326:WGS84(GPS坐标、Web地图)
-- 3857:Web墨卡托(瓦片式Web地图,仅用于展示)
-- 本地投影坐标系(用于精确测量)
-- 始终以4326(WGS84)作为存储的基准坐标系
-- 必要时转换坐标系进行运算
CREATE TABLE locations (
id uuid PRIMARY KEY DEFAULT uuidv7(),
name text NOT NULL,
location geography(Point, 4326), -- 存储用
location_local geometry(Point) -- 初始为NULL,按需计算
);
-- 转换为本地坐标系进行计算
SELECT ST_Transform(
location::geometry,
32610 -- UTM 10N区(加利福尼亚州)
) FROM locations WHERE name = 'San Francisco';Index Strategy
索引策略
Spatial Indexes
空间索引
sql
-- GiST index: Default for most spatial queries
CREATE INDEX idx_locations_geom ON locations USING gist(location);
-- BRIN index: For very large, naturally ordered datasets
-- (e.g., GPS tracks ordered by time)
CREATE INDEX idx_tracks_geom ON gps_tracks USING brin(location);
-- SP-GiST: For non-overlapping data (points, IP ranges)
CREATE INDEX idx_points_spgist ON points USING spgist(location);sql
-- GiST索引:大多数空间查询的默认选择
CREATE INDEX idx_locations_geom ON locations USING gist(location);
-- BRIN索引:适用于超大且自然有序的数据集
-- (例如:按时间排序的GPS轨迹)
CREATE INDEX idx_tracks_geom ON gps_tracks USING brin(location);
-- SP-GiST索引:适用于非重叠数据(点、IP范围)
CREATE INDEX idx_points_spgist ON points USING spgist(location);Index Best Practices
索引最佳实践
sql
-- Always include spatial index
CREATE TABLE features (
id uuid PRIMARY KEY DEFAULT uuidv7(),
geom geometry(Polygon, 4326),
created_at timestamptz DEFAULT now()
);
CREATE INDEX idx_features_geom ON features USING gist(geom);
-- Partial spatial index for active records
CREATE INDEX idx_features_geom_active ON features USING gist(geom)
WHERE deleted_at IS NULL;
-- Composite index for common query patterns
CREATE INDEX idx_features_type_geom ON features USING gist(geom)
WHERE feature_type = 'building';sql
-- 始终为几何列创建空间索引
CREATE TABLE features (
id uuid PRIMARY KEY DEFAULT uuidv7(),
geom geometry(Polygon, 4326),
created_at timestamptz DEFAULT now()
);
CREATE INDEX idx_features_geom ON features USING gist(geom);
-- 为活跃记录创建部分空间索引
CREATE INDEX idx_features_geom_active ON features USING gist(geom)
WHERE deleted_at IS NULL;
-- 为常见查询模式创建复合索引
CREATE INDEX idx_features_type_geom ON features USING gist(geom)
WHERE feature_type = 'building';Index Clustering
索引聚类
sql
-- Cluster table by spatial index for range query performance
CLUSTER features USING idx_features_geom;
-- For large tables, recluster periodically
-- Schedule during maintenance windowsql
-- 按空间索引聚类表以提升范围查询性能
CLUSTER features USING idx_features_geom;
-- 对于大表,定期重新聚类
-- 在维护窗口执行Query Patterns
查询模式
Distance Queries
距离查询
sql
-- Find points within distance (geography, in meters)
SELECT * FROM locations
WHERE ST_DWithin(
location,
ST_MakePoint(-122.4194, 37.7749)::geography,
1000 -- 1km radius
);
-- Find points within distance (geometry, in SRID units)
SELECT * FROM locations
WHERE ST_DWithin(
location,
ST_SetSRID(ST_MakePoint(-122.4194, 37.7749), 4326),
0.01 -- ~1km at this latitude (degrees)
);
-- K-nearest neighbors (KNN)
SELECT *, location <-> ST_MakePoint(-122.4194, 37.7749)::geography AS distance
FROM locations
ORDER BY location <-> ST_MakePoint(-122.4194, 37.7749)::geography
LIMIT 10;
-- Uses index for efficient KNNsql
-- 查找指定距离内的点(使用geography,单位为米)
SELECT * FROM locations
WHERE ST_DWithin(
location,
ST_MakePoint(-122.4194, 37.7749)::geography,
1000 -- 1公里半径
);
-- 查找指定距离内的点(使用geometry,单位为SRID对应单位)
SELECT * FROM locations
WHERE ST_DWithin(
location,
ST_SetSRID(ST_MakePoint(-122.4194, 37.7749), 4326),
0.01 -- 此纬度下约1公里(度数)
);
-- K近邻查询(KNN)
SELECT *, location <-> ST_MakePoint(-122.4194, 37.7749)::geography AS distance
FROM locations
ORDER BY location <-> ST_MakePoint(-122.4194, 37.7749)::geography
LIMIT 10;
-- 利用索引实现高效KNN查询Containment Queries
包含查询
sql
-- Points within polygon
SELECT * FROM points
WHERE ST_Within(location, (
SELECT boundary FROM regions WHERE name = 'California'
));
-- Polygon contains point
SELECT * FROM regions
WHERE ST_Contains(boundary, ST_MakePoint(-122.4194, 37.7749));
-- Intersects (overlaps in any way)
SELECT * FROM features
WHERE ST_Intersects(geom, query_polygon);sql
-- 多边形内的点
SELECT * FROM points
WHERE ST_Within(location, (
SELECT boundary FROM regions WHERE name = 'California'
));
-- 包含点的多边形
SELECT * FROM regions
WHERE ST_Contains(boundary, ST_MakePoint(-122.4194, 37.7749));
-- 相交查询(任意方式重叠)
SELECT * FROM features
WHERE ST_Intersects(geom, query_polygon);Aggregation
聚合运算
sql
-- Union all geometries
SELECT ST_Union(geom) FROM parcels WHERE owner = 'City';
-- Collect without merging (faster, preserves individual geometries)
SELECT ST_Collect(geom) FROM parcels WHERE owner = 'City';
-- Extent (bounding box)
SELECT ST_Extent(geom) FROM features;
-- Centroid of all points
SELECT ST_Centroid(ST_Collect(location)) FROM locations;sql
-- 合并所有几何
SELECT ST_Union(geom) FROM parcels WHERE owner = 'City';
-- 收集几何但不合并(速度更快,保留单个几何)
SELECT ST_Collect(geom) FROM parcels WHERE owner = 'City';
-- 范围(边界框)
SELECT ST_Extent(geom) FROM features;
-- 所有点的质心
SELECT ST_Centroid(ST_Collect(location)) FROM locations;GeoJSON Integration
GeoJSON集成
Import/Export
导入/导出
sql
-- Geometry to GeoJSON
SELECT ST_AsGeoJSON(location) FROM locations WHERE id = $1;
-- Geometry with properties to Feature
SELECT jsonb_build_object(
'type', 'Feature',
'geometry', ST_AsGeoJSON(location)::jsonb,
'properties', jsonb_build_object(
'id', id,
'name', name
)
) FROM locations WHERE id = $1;
-- FeatureCollection
SELECT jsonb_build_object(
'type', 'FeatureCollection',
'features', jsonb_agg(
jsonb_build_object(
'type', 'Feature',
'geometry', ST_AsGeoJSON(location)::jsonb,
'properties', jsonb_build_object('id', id, 'name', name)
)
)
) FROM locations;
-- GeoJSON to Geometry
INSERT INTO locations (name, location)
VALUES ('New Place', ST_GeomFromGeoJSON($1));
-- With SRID enforcement
INSERT INTO locations (name, location)
VALUES ('New Place', ST_SetSRID(ST_GeomFromGeoJSON($1), 4326));sql
-- 几何转GeoJSON
SELECT ST_AsGeoJSON(location) FROM locations WHERE id = $1;
-- 带属性的几何转Feature
SELECT jsonb_build_object(
'type', 'Feature',
'geometry', ST_AsGeoJSON(location)::jsonb,
'properties', jsonb_build_object(
'id', id,
'name', name
)
) FROM locations WHERE id = $1;
-- FeatureCollection
SELECT jsonb_build_object(
'type', 'FeatureCollection',
'features', jsonb_agg(
jsonb_build_object(
'type', 'Feature',
'geometry', ST_AsGeoJSON(location)::jsonb,
'properties', jsonb_build_object('id', id, 'name', name)
)
)
) FROM locations;
-- GeoJSON转几何
INSERT INTO locations (name, location)
VALUES ('New Place', ST_GeomFromGeoJSON($1));
-- 强制指定SRID
INSERT INTO locations (name, location)
VALUES ('New Place', ST_SetSRID(ST_GeomFromGeoJSON($1), 4326));API Response Pattern
API响应模式
sql
-- Function for API endpoints
CREATE OR REPLACE FUNCTION get_locations_geojson(
bounds geometry DEFAULT NULL
)
RETURNS jsonb AS $$
SELECT jsonb_build_object(
'type', 'FeatureCollection',
'features', COALESCE(jsonb_agg(
jsonb_build_object(
'type', 'Feature',
'id', id,
'geometry', ST_AsGeoJSON(location, 6)::jsonb, -- 6 decimal places
'properties', jsonb_build_object(
'name', name,
'created_at', created_at
)
)
), '[]'::jsonb)
)
FROM locations
WHERE bounds IS NULL OR ST_Intersects(location::geometry, bounds);
$$ LANGUAGE sql STABLE;sql
-- 用于API端点的函数
CREATE OR REPLACE FUNCTION get_locations_geojson(
bounds geometry DEFAULT NULL
)
RETURNS jsonb AS $$
SELECT jsonb_build_object(
'type', 'FeatureCollection',
'features', COALESCE(jsonb_agg(
jsonb_build_object(
'type', 'Feature',
'id', id,
'geometry', ST_AsGeoJSON(location, 6)::jsonb, -- 6位小数
'properties', jsonb_build_object(
'name', name,
'created_at', created_at
)
)
), '[]'::jsonb)
)
FROM locations
WHERE bounds IS NULL OR ST_Intersects(location::geometry, bounds);
$$ LANGUAGE sql STABLE;Validation and Repair
验证与修复
Validate Geometries
验证几何有效性
sql
-- Check validity
SELECT id, ST_IsValid(geom), ST_IsValidReason(geom)
FROM features
WHERE NOT ST_IsValid(geom);
-- Common issues:
-- "Self-intersection"
-- "Ring Self-intersection"
-- "Too few points in geometry component"
-- "Hole lies outside shell"sql
-- 检查有效性
SELECT id, ST_IsValid(geom), ST_IsValidReason(geom)
FROM features
WHERE NOT ST_IsValid(geom);
-- 常见问题:
-- "Self-intersection"(自相交)
-- "Ring Self-intersection"(环自相交)
-- "Too few points in geometry component"(几何组件点数不足)
-- "Hole lies outside shell"(洞位于外壳外部)Repair Geometries
修复几何
sql
-- Simple repair (handles most issues)
UPDATE features
SET geom = ST_MakeValid(geom)
WHERE NOT ST_IsValid(geom);
-- Repair with specific strategy
UPDATE features
SET geom = ST_MakeValid(geom, 'method=structure')
WHERE NOT ST_IsValid(geom);
-- Coverage clean for polygon sets (3.6.1)
WITH cleaned AS (
SELECT unnest(ST_CoverageClean(array_agg(geom ORDER BY id))) AS geom
FROM parcels
)
UPDATE parcels p
SET geom = c.geom
FROM cleaned c
WHERE ST_Intersects(p.geom, c.geom);
-- Snap to grid for precision issues
UPDATE features
SET geom = ST_SnapToGrid(geom, 0.000001)
WHERE ST_NPoints(geom) > 1000; -- High-detail featuressql
-- 简单修复(处理大多数问题)
UPDATE features
SET geom = ST_MakeValid(geom)
WHERE NOT ST_IsValid(geom);
-- 使用特定策略修复
UPDATE features
SET geom = ST_MakeValid(geom, 'method=structure')
WHERE NOT ST_IsValid(geom);
-- 对多边形集合进行Coverage清理(3.6.1)
WITH cleaned AS (
SELECT unnest(ST_CoverageClean(array_agg(geom ORDER BY id))) AS geom
FROM parcels
)
UPDATE parcels p
SET geom = c.geom
FROM cleaned c
WHERE ST_Intersects(p.geom, c.geom);
-- 对齐到网格以解决精度问题
UPDATE features
SET geom = ST_SnapToGrid(geom, 0.000001)
WHERE ST_NPoints(geom) > 1000; -- 高细节要素Performance Optimization
性能优化
Query Optimization
查询优化
sql
-- Use && for bounding box pre-filter
SELECT * FROM features
WHERE geom && ST_MakeEnvelope(-122.5, 37.7, -122.4, 37.8, 4326)
AND ST_Intersects(geom, query_polygon);
-- Simplify for display (reduces transfer size)
SELECT id, ST_Simplify(geom, 0.0001) AS geom_display
FROM features;
-- Viewport-aware simplification
SELECT id,
CASE
WHEN zoom < 10 THEN ST_Simplify(geom, 0.01)
WHEN zoom < 14 THEN ST_Simplify(geom, 0.001)
ELSE geom
END AS geom
FROM features
WHERE geom && viewport_bounds;sql
-- 使用&&进行边界框预过滤
SELECT * FROM features
WHERE geom && ST_MakeEnvelope(-122.5, 37.7, -122.4, 37.8, 4326)
AND ST_Intersects(geom, query_polygon);
-- 简化几何用于展示(减少传输数据量)
SELECT id, ST_Simplify(geom, 0.0001) AS geom_display
FROM features;
-- 视口感知的简化
SELECT id,
CASE
WHEN zoom < 10 THEN ST_Simplify(geom, 0.01)
WHEN zoom < 14 THEN ST_Simplify(geom, 0.001)
ELSE geom
END AS geom
FROM features
WHERE geom && viewport_bounds;Table Design for Spatial
空间数据表设计
sql
-- Separate geometry from attributes for large tables
CREATE TABLE features (
id uuid PRIMARY KEY DEFAULT uuidv7(),
name text NOT NULL,
category text,
metadata jsonb DEFAULT '{}',
created_at timestamptz DEFAULT now()
);
CREATE TABLE feature_geometries (
feature_id uuid PRIMARY KEY REFERENCES features(id) ON DELETE CASCADE,
geom geometry(Geometry, 4326),
geom_simplified geometry(Geometry, 4326) -- Pre-computed simplification
);
CREATE INDEX idx_feature_geom ON feature_geometries USING gist(geom);
CREATE INDEX idx_feature_geom_simple ON feature_geometries USING gist(geom_simplified);sql
-- 对于大表,将几何与属性分离
CREATE TABLE features (
id uuid PRIMARY KEY DEFAULT uuidv7(),
name text NOT NULL,
category text,
metadata jsonb DEFAULT '{}',
created_at timestamptz DEFAULT now()
);
CREATE TABLE feature_geometries (
feature_id uuid PRIMARY KEY REFERENCES features(id) ON DELETE CASCADE,
geom geometry(Geometry, 4326),
geom_simplified geometry(Geometry, 4326) -- 预计算的简化几何
);
CREATE INDEX idx_feature_geom ON feature_geometries USING gist(geom);
CREATE INDEX idx_feature_geom_simple ON feature_geometries USING gist(geom_simplified);Materialized Views for Complex Queries
复杂查询的物化视图
sql
-- Pre-computed spatial joins
CREATE MATERIALIZED VIEW feature_regions AS
SELECT f.id AS feature_id, r.id AS region_id, r.name AS region_name
FROM features f
JOIN regions r ON ST_Within(f.location, r.boundary);
CREATE UNIQUE INDEX idx_feature_regions ON feature_regions(feature_id);
-- Refresh periodically
REFRESH MATERIALIZED VIEW CONCURRENTLY feature_regions;sql
-- 预计算空间连接
CREATE MATERIALIZED VIEW feature_regions AS
SELECT f.id AS feature_id, r.id AS region_id, r.name AS region_name
FROM features f
JOIN regions r ON ST_Within(f.location, r.boundary);
CREATE UNIQUE INDEX idx_feature_regions ON feature_regions(feature_id);
-- 定期刷新
REFRESH MATERIALIZED VIEW CONCURRENTLY feature_regions;Migration Patterns
迁移模式
Adding Spatial Column
添加空间列
sql
-- Step 1: Add column
ALTER TABLE locations ADD COLUMN geom geometry(Point, 4326);
-- Step 2: Create index
CREATE INDEX CONCURRENTLY idx_locations_geom ON locations USING gist(geom);
-- Step 3: Backfill from lat/lng
UPDATE locations
SET geom = ST_SetSRID(ST_MakePoint(longitude, latitude), 4326)
WHERE geom IS NULL AND latitude IS NOT NULL;
-- Step 4: Add constraint if needed
ALTER TABLE locations ADD CONSTRAINT locations_geom_4326
CHECK (ST_SRID(geom) = 4326);sql
-- 步骤1:添加列
ALTER TABLE locations ADD COLUMN geom geometry(Point, 4326);
-- 步骤2:创建索引
CREATE INDEX CONCURRENTLY idx_locations_geom ON locations USING gist(geom);
-- 步骤3:从经纬度回填数据
UPDATE locations
SET geom = ST_SetSRID(ST_MakePoint(longitude, latitude), 4326)
WHERE geom IS NULL AND latitude IS NOT NULL;
-- 步骤4:按需添加约束
ALTER TABLE locations ADD CONSTRAINT locations_geom_4326
CHECK (ST_SRID(geom) = 4326);Converting Geometry to Geography
将Geometry转换为Geography
sql
-- Create new column
ALTER TABLE locations ADD COLUMN location_geo geography(Point, 4326);
-- Migrate data
UPDATE locations
SET location_geo = location::geography
WHERE location_geo IS NULL;
-- Create index on new column
CREATE INDEX CONCURRENTLY idx_locations_geo ON locations USING gist(location_geo);
-- Update application, then drop old column
ALTER TABLE locations DROP COLUMN location;
ALTER TABLE locations RENAME COLUMN location_geo TO location;sql
-- 创建新列
ALTER TABLE locations ADD COLUMN location_geo geography(Point, 4326);
-- 迁移数据
UPDATE locations
SET location_geo = location::geography
WHERE location_geo IS NULL;
-- 为新列创建索引
CREATE INDEX CONCURRENTLY idx_locations_geo ON locations USING gist(location_geo);
-- 更新应用,然后删除旧列
ALTER TABLE locations DROP COLUMN location;
ALTER TABLE locations RENAME COLUMN location_geo TO location;PostGIS Artifact
PostGIS 实现文档
When implementing spatial features, post this artifact:
markdown
<!-- POSTGIS_IMPLEMENTATION:START -->在实现空间功能时,需添加以下文档:
markdown
<!-- POSTGIS_IMPLEMENTATION:START -->PostGIS Implementation Summary
PostGIS 实现摘要
Spatial Columns
空间列
| Table | Column | Type | SRID | Index |
|---|---|---|---|---|
| locations | location | geography(Point) | 4326 | gist |
| parcels | boundary | geometry(Polygon) | 4326 | gist |
| 表名 | 列名 | 类型 | SRID | 索引 |
|---|---|---|---|---|
| locations | location | geography(Point) | 4326 | gist |
| parcels | boundary | geometry(Polygon) | 4326 | gist |
PostGIS 3.6.1 Features Used
使用的PostGIS 3.6.1特性
- ST_CoverageClean for topology repair
- SFCGAL 3D functions
- Bigint topology
- PostgreSQL 18 interrupt handling
- 用于拓扑修复的ST_CoverageClean
- SFCGAL 3D函数
- Bigint拓扑
- PostgreSQL 18中断处理
Spatial Queries
空间查询
| Query Pattern | Index Used | Performance |
|---|---|---|
| KNN distance | Yes (gist) | <10ms |
| ST_Within region | Yes (gist) | <50ms |
| ST_Intersects | Yes (gist) | <100ms |
| 查询模式 | 使用索引 | 性能 |
|---|---|---|
| KNN距离查询 | 是(gist) | <10ms |
| ST_Within区域查询 | 是(gist) | <50ms |
| ST_Intersects相交查询 | 是(gist) | <100ms |
Validation
验证
- All geometries pass ST_IsValid
- SRID constraints enforced
- Spatial indexes created
- Query patterns tested with EXPLAIN ANALYZE
PostGIS Version: 3.6.1
GEOS Version: 3.14.x
Verified At: [timestamp]
<!-- POSTGIS_IMPLEMENTATION:END -->
undefined- 所有几何通过ST_IsValid验证
- 强制SRID约束
- 创建空间索引
- 使用EXPLAIN ANALYZE测试查询模式
PostGIS版本: 3.6.1
GEOS版本: 3.14.x
验证时间: [时间戳]
<!-- POSTGIS_IMPLEMENTATION:END -->
undefinedChecklist
检查清单
Before completing PostGIS implementation:
- Correct data type chosen (geometry vs geography)
- SRID is consistent (4326 recommended for storage)
- Spatial indexes created on all geometry columns
- Input geometries validated (ST_IsValid)
- GeoJSON import/export tested
- Query performance verified with EXPLAIN ANALYZE
- PostGIS 3.6.1 features leveraged where appropriate
- Artifact posted to issue
完成PostGIS实现前需确认:
- 选择了正确的数据类型(geometry vs geography)
- SRID保持一致(推荐存储使用4326)
- 所有几何列均已创建空间索引
- 输入几何已通过ST_IsValid验证
- GeoJSON导入/导出已测试
- 使用EXPLAIN ANALYZE验证查询性能
- 已按需利用PostGIS 3.6.1的特性
- 已在问题中添加实现文档
Integration
集成
This skill integrates with:
- - Spatial columns follow general schema patterns
database-architecture - - RLS policies can use spatial predicates
postgres-rls - - Time-series with spatial dimensions
timescaledb
本规范可与以下规范集成:
- - 空间列遵循通用 schema 模式
database-architecture - - RLS策略可使用空间谓词
postgres-rls - - 带空间维度的时间序列数据
timescaledb