在MySQL 5.7中的GEOMETRY类型SPATIAL INDEX中查询慢ST_CONTAINS

Question

我有一张空间索引表。当我运行此查询时，返回结果需要大于0.7。有没有办法让这个查询更快？ （AWS RDS上的MySQL 5.7.17，InnoDB）

创建表格

CREATE TABLE `geofences` (
    `id` INT(11) UNSIGNED NOT NULL AUTO_INCREMENT,
    `sticker_key` VARCHAR(50) NOT NULL COLLATE 'utf8mb4_bin',
    `geofence` GEOMETRY NOT NULL,
    `location` VARCHAR(50) NULL DEFAULT NULL COLLATE 'utf8mb4_bin',
    `expires` VARCHAR(50) NULL DEFAULT NULL COLLATE 'utf8mb4_bin',
    PRIMARY KEY (`id`),
    SPATIAL INDEX `geofence` (`geofence`)
)COLLATE='utf8mb4_bin'
ENGINE=InnoDB;

QUERY

SELECT geofences.sticker_key FROM geofences WHERE ST_CONTAINS(geofences.geofence, POINT(126.924394,37.552754)) GROUP BY sticker_key;

EXPLAIN

示例数据

这是我的地理围栏表中的最小行。

MULTIPOLYGON(((126.982169151306 37.5796080752196,126.984980106354 37.5792084484235,126.985055208206 37.5801097313528,126.985623836517 37.5800672182523,126.985656023026 37.5802542757132,126.986804008484 37.5801947574811,126.9868683815 37.5831110948965,126.986482143402 37.5831961175971,126.986385583878 37.5830685835098,126.986138820648 37.5828475239075,126.98569893837 37.582711486903,126.985720396042 37.5819207668924,126.985355615616 37.5817762257676,126.984947919846 37.5817677233397,126.984915733337 37.5814616352904,126.9846367836 37.5814616352904,126.984508037567 37.5817082063176,126.984218358994 37.581878254826,126.983692646027 37.5820398005493,126.98362827301 37.5822608625499,126.983746290207 37.5823373838587,126.983370780945 37.5834086739237,126.983295679092 37.5834766918201,126.983370780945 37.5843269102809,126.983531713486 37.5843609188173,126.983789205551 37.5849730698168,126.982952356338 37.5850580903908,126.982877254486 37.5845139570391,126.982491016388 37.5845479654901,126.982126235962 37.5845564676004,126.982115507126 37.5846329865497,126.981954574585 37.5846329865497,126.981739997864 37.5837147539679,126.981611251831 37.5823118767645,126.981300115585 37.5819972885508,126.980999708176 37.5815041475947,126.98145031929 37.5812235659375,126.981514692307 37.581036510912,126.982115507126 37.5800162024996,126.982308626175 37.5799226735289,126.982169151306 37.5796080752196)))

有些人更大（像整个国家等）

Answer 1

简化几何形状！

形状越复杂，MySQL判断它是否包含某个点所需的时间越长 - 某些国家的形状确实非常复杂。例如，印度尼西亚的边界（你在评论中提到）包含超过18,000个点，其中大部分定义了砂拉越和加里曼丹之间的复杂边界。

除非您的应用程序特别需要知道完全用户在该边界方面的位置，否则使用更简单的版本可能会好得多。有许多工具可用于此目的;一个受欢迎的是mapshaper。