From 7e79542d6632625e7ccff0b6e63ff7b1704f2ded Mon Sep 17 00:00:00 2001
From: dshukertjr <18113850+dshukertjr@users.noreply.github.com>
Date: Wed, 4 Jan 2023 22:31:10 +0900
Subject: [PATCH 01/10] pasted notion
---
.../guides/database/extensions/postgis.mdx | 191 ++++++++++++++++++
1 file changed, 191 insertions(+)
create mode 100644 apps/docs/pages/guides/database/extensions/postgis.mdx
diff --git a/apps/docs/pages/guides/database/extensions/postgis.mdx b/apps/docs/pages/guides/database/extensions/postgis.mdx
new file mode 100644
index 00000000000..39df6a29c2e
--- /dev/null
+++ b/apps/docs/pages/guides/database/extensions/postgis.mdx
@@ -0,0 +1,191 @@
+import Layout from '~/layouts/DefaultGuideLayout'
+
+export const meta = {
+ id: 'postgis',
+ title: 'PostGIS: Geo queries',
+ description: 'Working with geo-spatial data in Postgres',
+}
+
+[`PostGIS`](https://postgis.net/) is a Postgres extension that allows you to interact with Geo data within Postgres. You can sort your data by geographic location, get data within certain geographic boundaries, and do much more with it.
+
+## Overview
+
+While you may be able to store simple lat/long geographic coordinates as a set of decimals, it does not scale very well when you try to query through a large data set. PostGIS comes with special data types that are efficient, and indexable for high scalability.
+
+The additional data types that PostGIS provides include `[Point](https://postgis.net/docs/using_postgis_dbmanagement.html#Point)`, `[Polygon](https://postgis.net/docs/using_postgis_dbmanagement.html#Polygon)`, `[Linestring](https://postgis.net/docs/using_postgis_dbmanagement.html#LineString)`, and many more to represent different types of geographical data. In this guide, we will mainly focus on how to interact with `Point` type, which represents a single set of latitude and longitude. If you are interested in digging deeper, you can learn more about different data types on the [data management section of PostGIS docs](https://postgis.net/docs/using_postgis_dbmanagement.html).
+
+## Enabling PostGIS for your Supabase project
+
+You can get started with PostGIS by enabling the PostGIS extension in your Supabase dashboard.
+
+
+
+
+1. Go to the [Database](https://app.supabase.com/project/_/database/tables) page in the Dashboard.
+2. Click on **Extensions** in the sidebar.
+3. Search for "postgis" and enable the extension.
+
+
+
+
+```sql
+-- Example: enable the "postgis" extension
+create extension postgis with schema extensions;
+
+-- Example: disable the "postgis" extension
+drop extension if exists postgis;
+```
+
+
+
+
+## Examples
+
+Now that we are ready to get started with PostGIS, let’s create a table and see how we can utilize PostGIS for some typical use cases. Let’s imagine we are creating a simple restaurant-searching app.
+
+Let’s create our table. Each row represents a restaurant with its location stored in `location` column as a `Point` type.
+
+```sql
+create table if not exists public.restaurants (
+ id uuid not null primary key default uuid_generate_v4 (),
+ name text not null,
+ location geography(POINT) not null
+);
+```
+
+We can then set a [spatial index](https://postgis.net/docs/using_postgis_dbmanagement.html#build-indexes) on the `location` column of this table.
+
+```sql
+create index restaurants_geo_index
+ on public.restaurants
+ using GIST (location);
+```
+
+### Inserting data
+
+You can insert geographical data through SQL or through our API.
+
+```sql
+insert into public.restaurants
+(name, location)
+values ('Supa Burger', st_point(-73.946823 40.807416));
+```
+
+```tsx
+const location = { lat: 40.807416, long: -73.946823 }
+const { error } = await supabase.from('restaurants').insert({
+ name: 'Supa Burger',
+ location: `POINT(${location.long} ${location.lat})`,
+})
+```
+
+Notice that the order in which you pass the latitude and longitude is longitude first. This is because longitude represents the location on the x-axis. Also, there is no comma between the two values, just a single space.
+
+At this point, if you go into your Supabase dashboard and look at the data, you will notice that the data in the location column looks something like this and is not in a human-readable format.
+
+```tsx
+0101000020E6100000A4DFBE0E9C91614044FAEDEBC0494240
+```
+
+We can query the `restaurants` table directly, but it will return the `locations` column in the format you see above. We will create [database functions](https://supabase.com/docs/guides/database/functions) so that we can use the [st_astext()](https://postgis.net/docs/ST_AsText.html) function to convert it back to a human-readable format like `POINT(-73.946713 40.807313)`.
+
+### Order by distance
+
+Sorting datasets from closest to farthest, sometimes called nearest-neighbor sort, is a very common use case in Geo-queries. PostGIS can handle it very easily with the use of the `[<->](https://postgis.net/docs/geometry_distance_knn.html)` operator. `<->` operator returns the two-dimensional distance between two geometries and will utilize the spatial index when used within `order by` clause. You can create the following database function to sort the restaurants from closest to farthest by passing the current locations as parameters.
+
+```sql
+create or replace function nearby_restaurants(lat float, long float)
+returns setof record
+language sql
+as $$
+ select id, name, st_astext(location) as location, st_distance(location, st_point(long, lat)::geography) as dist_meters
+ from public.restaurants
+ order by location <-> st_point(long, lat)::geography;
+$$;
+```
+
+```tsx
+const { data, error } = await supabase.rpc('nearby_restaurants_with_distance', {
+ lat: 35.6762,
+ long: 140.6503,
+})
+```
+
+```json
+[
+ {
+ "id": "e97c850f-c623-49b3-a226-aabf42668868",
+ "name": "Supa Burger",
+ "location": "POINT(-73.946823 40.807416)",
+ "dist_meters": 14.73033739
+ },
+ {
+ "id": "09c0aca9-b344-44ae-9e24-2150283f160c",
+ "name": "Supa Pizza",
+ "location": "POINT(-73.94581 40.807475)",
+ "dist_meters": 78.28980007
+ },
+ {
+ "id": "b0cc0d84-57d7-42ca-9a7f-af28d1614ad1",
+ "name": "Supa Taco",
+ "location": "POINT(-73.945826 40.80629)",
+ "dist_meters": 136.04329002
+ }
+]
+```
+
+### Finding all data points within a bounding box
+
+
+
+When you are working on a map-based application where the user scrolls through your map, you might want to load the that lies within the bounding box of the map every time your users scroll. PostGIS can return the rows that are within the bounding box just by supplying the bottom left and the top right coordinates. Let’s look at what the function would look like.
+
+```sql
+create or replace function restaurants_in_view(min_lat float, min_long float, max_lat float, max_long float)
+returns setof record
+language sql
+as $$
+ select id, name, st_astext(location) as location
+ from public.restaurants
+ where location && ST_SetSRID(ST_MakeBox2D(ST_Point(min_long, min_lat), ST_Point(max_long, max_lat)),4326)
+$$;
+```
+
+`[&&](https://postgis.net/docs/geometry_overlaps.html)` operator used in the where statement here returns a boolean of whether the bounding box of the two geometries intersect or not. We basically are creating a bounding box from the two points and finding those points that fall under the bounding box. We are also utilizing a few different PostGIS functions here.
+
+- [ST_MakeBox2D](https://postgis.net/docs/ST_MakeBox2D.html): Creates a 2-dimensional box from two points.
+- [ST_SetSRID](https://postgis.net/docs/ST_SetSRID.html): Sets the [SRID](https://postgis.net/docs/manual-dev/using_postgis_dbmanagement.html#spatial_ref_sys), which is an identifier of what coordinate system to use, for the geometry. 4326 the standard longitude and latitude coordinate systems.
+
+You can call this function from your client like this:
+
+```tsx
+const { data, error } = await supabase.rpc('restaurants_in_view', {
+ min_lat: 40.807,
+ min_long: -73.946,
+ max_lat: 40.808,
+ max_long: -73.945,
+})
+```
+
+```json
+[
+ {
+ "id": "09c0aca9-b344-44ae-9e24-2150283f160c",
+ "name": "Supa Pizza",
+ "location": "POINT(-73.94581 40.807475)"
+ }
+]
+```
+
+## Resources
+
+- [Official PostGIS documentation](https://postgis.net/documentation/)
+
+export const Page = ({ children }) =>
+
+export default Page
From 228e913062f5e93f3d3776da5d44877b5b5bd4c7 Mon Sep 17 00:00:00 2001
From: dshukertjr <18113850+dshukertjr@users.noreply.github.com>
Date: Wed, 4 Jan 2023 22:43:13 +0900
Subject: [PATCH 02/10] created tab for insert
---
.../guides/database/extensions/postgis.mdx | 45 ++++++++++++++-----
1 file changed, 35 insertions(+), 10 deletions(-)
diff --git a/apps/docs/pages/guides/database/extensions/postgis.mdx b/apps/docs/pages/guides/database/extensions/postgis.mdx
index 39df6a29c2e..d6f3d18c4c0 100644
--- a/apps/docs/pages/guides/database/extensions/postgis.mdx
+++ b/apps/docs/pages/guides/database/extensions/postgis.mdx
@@ -52,7 +52,7 @@ Let’s create our table. Each row represents a restaurant with its location sto
```sql
create table if not exists public.restaurants (
- id uuid not null primary key default uuid_generate_v4 (),
+ id int generated by default as identity primary key,
name text not null,
location geography(POINT) not null
);
@@ -70,13 +70,24 @@ create index restaurants_geo_index
You can insert geographical data through SQL or through our API.
+
+
+
```sql
insert into public.restaurants
(name, location)
values ('Supa Burger', st_point(-73.946823 40.807416));
```
-```tsx
+
+
+
+```typescript
const location = { lat: 40.807416, long: -73.946823 }
const { error } = await supabase.from('restaurants').insert({
name: 'Supa Burger',
@@ -84,11 +95,25 @@ const { error } = await supabase.from('restaurants').insert({
})
```
-Notice that the order in which you pass the latitude and longitude is longitude first. This is because longitude represents the location on the x-axis. Also, there is no comma between the two values, just a single space.
+
+
+
+```dart
+final location = { 'lat': 40.807416, 'long': -73.946823 };
+await supabase.from('restaurants').insert({
+ name: 'Supa Burger',
+ location: 'POINT(${location['long']} ${location['lat']})',
+});
+```
+
+
+
+
+Notice the order in which you pass the latitude and longitude. Longitude comes first, and is because longitude represents the x-axis of the location. Another thing to watch for is that there is no comma between the two values, just a single space.
At this point, if you go into your Supabase dashboard and look at the data, you will notice that the data in the location column looks something like this and is not in a human-readable format.
-```tsx
+```
0101000020E6100000A4DFBE0E9C91614044FAEDEBC0494240
```
@@ -109,7 +134,7 @@ as $$
$$;
```
-```tsx
+```typescript
const { data, error } = await supabase.rpc('nearby_restaurants_with_distance', {
lat: 35.6762,
long: 140.6503,
@@ -119,19 +144,19 @@ const { data, error } = await supabase.rpc('nearby_restaurants_with_distance', {
```json
[
{
- "id": "e97c850f-c623-49b3-a226-aabf42668868",
+ "id": 1,
"name": "Supa Burger",
"location": "POINT(-73.946823 40.807416)",
"dist_meters": 14.73033739
},
{
- "id": "09c0aca9-b344-44ae-9e24-2150283f160c",
+ "id": 2,
"name": "Supa Pizza",
"location": "POINT(-73.94581 40.807475)",
"dist_meters": 78.28980007
},
{
- "id": "b0cc0d84-57d7-42ca-9a7f-af28d1614ad1",
+ "id": 3,
"name": "Supa Taco",
"location": "POINT(-73.945826 40.80629)",
"dist_meters": 136.04329002
@@ -163,7 +188,7 @@ $$;
You can call this function from your client like this:
-```tsx
+```typescript
const { data, error } = await supabase.rpc('restaurants_in_view', {
min_lat: 40.807,
min_long: -73.946,
@@ -175,7 +200,7 @@ const { data, error } = await supabase.rpc('restaurants_in_view', {
```json
[
{
- "id": "09c0aca9-b344-44ae-9e24-2150283f160c",
+ "id": 2,
"name": "Supa Pizza",
"location": "POINT(-73.94581 40.807475)"
}
From f1827ad782dbf230a097358dfd99329604f277b3 Mon Sep 17 00:00:00 2001
From: dshukertjr <18113850+dshukertjr@users.noreply.github.com>
Date: Wed, 4 Jan 2023 22:50:26 +0900
Subject: [PATCH 03/10] update image
---
.../guides/database/extensions/postgis.mdx | 2 +-
.../database/extensions/postgis/map.png | Bin 0 -> 4511487 bytes
2 files changed, 1 insertion(+), 1 deletion(-)
create mode 100644 apps/docs/public/img/guides/database/extensions/postgis/map.png
diff --git a/apps/docs/pages/guides/database/extensions/postgis.mdx b/apps/docs/pages/guides/database/extensions/postgis.mdx
index d6f3d18c4c0..35cdeb99530 100644
--- a/apps/docs/pages/guides/database/extensions/postgis.mdx
+++ b/apps/docs/pages/guides/database/extensions/postgis.mdx
@@ -166,7 +166,7 @@ const { data, error } = await supabase.rpc('nearby_restaurants_with_distance', {
### Finding all data points within a bounding box
-
+
When you are working on a map-based application where the user scrolls through your map, you might want to load the that lies within the bounding box of the map every time your users scroll. PostGIS can return the rows that are within the bounding box just by supplying the bottom left and the top right coordinates. Let’s look at what the function would look like.
diff --git a/apps/docs/public/img/guides/database/extensions/postgis/map.png b/apps/docs/public/img/guides/database/extensions/postgis/map.png
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