在PostgreSQL中将PostGIS行以十六进制WKT形式插入

偷偷努力，悄无声息地变强，然后惊艳所有人！哈哈，小伙伴们又来学习啦~今天我将给大家介绍《在PostgreSQL中将PostGIS行以十六进制WKT形式插入》，这篇文章主要会讲到等等知识点，不知道大家对其都有多少了解，下面我们就一起来看一吧！当然，非常希望大家能多多评论，给出合理的建议，我们一起学习，一起进步！

如以下函数所示，我尝试将行插入到 building 表中。一切正常，只是坐标不是保存为普通文本，而是保存为 wkb（如屏幕截图和示例中所示）。

func (db database) savebuildings(buildings overpass.result) error {
    tx, err := db.pool.begin(context.background())
    if err != nil {
        return err
    }
    defer tx.rollback(context.background())
    for _, building := range buildings.nodes {
        _, err = tx.exec(context.background(), `insert into building (coordinate, type, variation) values(st_setsrid(st_makepoint($1, $2),4326), $3, $4)`, building.lon, building.lat, "industrial", "brick")
    }
    if err != nil {
        return err
    }
    err = tx.commit(context.background())
    return err
}

building 表格示例

uuid                                |coordinate                                        |type      |variation|
------------------------------------|--------------------------------------------------|----------|---------|
dff2f9a3-03f1-477c-8b3e-9c6708d97519|0101000020E610000028637C98BDE63B4092301D84CAE04740|industrial|brick    |
7b6b619a-8c0f-4a3d-b098-d878a2b1d152|0101000020E6100000EFE2FDB8FDE43B4085AC133C2AE04740|industrial|brick    |
efd68a88-a349-4f1b-9406-23920031701f|0101000020E6100000D7C3F24295E53B40A538FD8F02E04740|industrial|brick    |
3b9bfc69-9dbc-42f5-a80d-615b972da3a2|0101000020E610000085E39E5335EA3B40B1FD648C0FE14740|industrial|brick    |
19e798d9-5ce7-47e4-aea0-0eb039805269|0101000020E6100000CD48731A58E73B40A76384A6DBDF4740|industrial|brick    |
c99ab27c-a205-460c-8371-8306895fcd8b|0101000020E610000091FF136DD8E63B40E5492DEF05E04740|industrial|brick    |
f9aabf00-c3aa-4a45-8c15-5b538390b807|0101000020E6100000E2395B4068E53B403A98A839D4E04740|industrial|brick    |
a866e708-6438-4524-b257-e3f7f84b7027|0101000020E610000077B6ECB545E63B400B067C235FE04740|industrial|brick    |
849add05-4384-492a-baf9-5d151751e8c5|0101000020E61000002B78C02B38E83B4098512CB7B4E04740|industrial|brick    |
ae8d7de0-10d1-4cf5-b4ef-7c483e9f6669|0101000020E61000009D9E776341E73B40A3923A014DE04740|industrial|brick    |
c3a908d7-49d1-4f95-a5d2-b9aa06a44768|0101000020E61000001E0B1BAF8AE53B403BE702F280E04740|industrial|brick    |
d86c441c-fcea-4b53-883e-e7651f8f7afd|0101000020E6100000EDA7B51FDFE43B403999B85510E04740|industrial|brick    |
d66543a3-f6a9-47dc-b47d-2e027b62d24d|0101000020E6100000A15F00868AE63B40113A43CC80E04740|industrial|brick    |
6d0ca88e-b645-4880-ad9a-a12dee11cb9c|0101000020E61000007E5704FF5BE53B403C9FA63BF4DF4740|industrial|brick    |
acf63b3f-d86c-478a-9267-97407103b490|0101000020E6100000ACADD85F76E53B40C0D02346CFE04740|industrial|brick    |
381995fe-c6ed-4916-a2a3-7def605ef30e|0101000020E6100000A02EF76E98E53B40267909A936E14740|industrial|brick    |
0279d9cc-0521-4c94-8132-2276f9dccb0f|0101000020E6100000383A9D1A1EE73B407F57BA7141E04740|industrial|brick    |
ec148677-783e-404a-9504-ac697dceb081|0101000020E6100000FBF14D89DAE43B40514942C7B3E04740|industrial|brick    |
680a6d28-34e5-4639-94df-32c00a9aceaf|0101000020E610000002678412C1E93B406353F87D49E14740|industrial|brick    |
a4f70282-c792-4ea0-b0af-cf7adea7904e|0101000020E6100000A651370653E93B40749593F540E14740|industrial|brick    |
c3f88db7-9b3c-44e8-b302-d45458389154|0101000020E610000041295AB917E83B40A4D1D336B4DF4740|industrial|brick    |
56021f76-f3df-4275-8c65-f1ad50053037|0101000020E610000057E47C563EE63B40FCD52D4CF0DF4740|industrial|brick    |
e2a1265a-6aa2-4b84-a5b6-b66868f7ba5d|0101000020E6100000330285D5B3E93B403E7B2E5393E04740|industrial|brick    |
bc423d77-ea20-4883-9b4f-60b3fc85961a|0101000020E61000005F07CE1951E43B40338573B279E04740|industrial|brick    |
62e982c2-3119-4962-81b3-219c0b43a02c|0101000020E6100000D322916C64E53B40CD4B0F54D7DF4740|industrial|brick    |
ad728221-d528-4856-bff8-80a5ac48956a|0101000020E610000061342BDB87E43B401C78B5DC99DF4740|industrial|brick    |
bd5cf4bd-2ba8-4404-9aee-923e9f9dbcc9|0101000020E6100000980BA6AB85E53B402134CC1A06E04740|industrial|brick    |
db981d6e-39a7-4fd9-8526-dcdbe9c2287a|0101000020E610000095DCBCCC0BE53B40F6FC7ACF92DF4740|industrial|brick    |
e7a9863c-0599-45ba-a0de-fd55636cb981|0101000020E6100000FD5E549CB4E43B4050D37833B4DF4740|industrial|brick    |
c6bd0ab2-33fe-4c10-9630-4dba1519aac0|0101000020E610000036EA211ADDE73B40139ED0EB4FE04740|industrial|brick    |
bd78f7ce-ff80-43b0-94a5-7c0d53c88e72|0101000020E61000000220387870E73B40C003A84EACE04740|industrial|brick    |

解决方案

wkb 只是 postgres 处理后的点的表示。其实还不错！想象一下，您将所有这些点存储为文本，那么您将如何对它们执行计算，例如聚类或计算它们之间的距离？

要以您想要的方式获取它们的值，只需使用

SELECT uuid, ST_ASTEXT(coordinate) as coordinate_wkt
FROM building

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