Mulai Cepat H3 (Databricks SQL)
Mulai cepat fungsi geospasial H3 di halaman ini menggambarkan hal berikut:
- Cara memuat himpunan data geolokasi ke dalam Katalog Unity.
- Cara mengonversi kolom garis lintang dan bujur menjadi kolom sel H3.
- Cara mengonversi poligon kode pos atau kolom WKT multipoligon ke kolom sel H3.
- Cara mengkueri analisis penjemputan dan pengantaran dari Bandara LaGuardia ke Distrik Keuangan Manhattan.
- Cara merender jumlah agregat H3 pada peta.
Contoh buku catatan dan kueri
Menyiapkan Data Katalog Unity
Dalam buku catatan ini kita:
- Siapkan himpunan data taksi publik dari Databricks Filesystem.
- Siapkan himpunan data Kode Pos NYC.
Menyiapkan data Katalog Unity
Kueri Databricks SQL dengan Databricks Runtime 11.3 LTS ke atas
Kueri 1: Verifikasi bahwa data dasar telah disiapkan. Lihat Notebook.
use catalog geospatial_docs;
use database nyc_taxi;
show tables;
-- Verify initial data is setup (see instructions in setup notebook)
-- select format_number(count(*),0) as count from yellow_trip;
-- select * from nyc_zipcode;
Kueri 2: Kode Pos H3 NYC - Terapkan h3_polyfillash3 pada resolusi 12
.
use catalog geospatial_docs;
use database nyc_taxi;
-- drop table if exists nyc_zipcode_h3_12;
create table if not exists nyc_zipcode_h3_12 as (
select
explode(h3_polyfillash3(geom_wkt, 12)) as cell,
zipcode,
po_name,
county
from
nyc_zipcode
);
-- optional: zorder by `cell`
optimize nyc_zipcode_h3_12 zorder by (cell);
select
*
from
nyc_zipcode_h3_12;
Kueri 3: Perjalanan Taksi H3 - Terapkan h3_longlatash3 dalam resolusi 12
.
use catalog geospatial_docs;
use database nyc_taxi;
-- drop table if exists yellow_trip_h3_12;
create table if not exists yellow_trip_h3_12 as (
select
h3_longlatash3(pickup_longitude, pickup_latitude, 12) as pickup_cell,
h3_longlatash3(dropoff_longitude, dropoff_latitude, 12) as dropoff_cell,
*
except
(
rate_code_id,
store_and_fwd_flag
)
from
yellow_trip
);
-- optional: zorder by `pickup_cell`
-- optimize yellow_trip_h3_12 zorder by (pickup_cell);
select
*
from
yellow_trip_h3_12
where pickup_cell is not null;
Kueri 4: Pengambilan H3 LGA - Pengambilan 25M dari LaGuardia (LGA)
use catalog geospatial_docs;
use database nyc_taxi;
create
or replace view lga_pickup_h3_12 as (
select
t.*
except(cell),
s.*
from
yellow_trip_h3_12 as s
inner join nyc_zipcode_h3_12 as t on s.pickup_cell = t.cell
where
t.zipcode = '11371'
);
select
format_number(count(*), 0) as count
from
lga_pickup_h3_12;
-- select
-- *
-- from
-- lga_pickup_h3_12;
Kueri 5: Pengantaran H3 Financial District - 34M total pengantaran di Financial District
use catalog geospatial_docs;
use database nyc_taxi;
create
or replace view fd_dropoff_h3_12 as (
select
t.*
except(cell),
s.*
from
yellow_trip_h3_12 as s
inner join nyc_zipcode_h3_12 as t on s.dropoff_cell = t.cell
where
t.zipcode in ('10004', '10005', '10006', '10007', '10038')
);
select
format_number(count(*), 0) as count
from
fd_dropoff_h3_12;
-- select * from fd_dropoff_h3_12;
Kueri 6: Pengantaran H3 LGA-FD - 827K di FD dengan penjemputan dari LGA
use catalog geospatial_docs;
use database nyc_taxi;
create
or replace view lga_fd_dropoff_h3_12 as (
select
*
from
fd_dropoff_h3_12
where
pickup_cell in (
select
distinct pickup_cell
from
lga_pickup_h3_12
)
);
select
format_number(count(*), 0) as count
from
lga_fd_dropoff_h3_12;
-- select * from lga_fd_dropoff_h3_12;
Kueri 7: LGA-FD menurut kode pos - Hitung pengantaran FD menurut kode pos + bagan batang
use catalog geospatial_docs;
use database nyc_taxi;
select
zipcode,
count(*) as count
from
lga_fd_dropoff_h3_12
group by
zipcode
order by
zipcode;
Kueri 8: LGA-FD oleh H3 - Hitung pengantaran FD menurut sel H3 + visualisasi penanda peta
use catalog geospatial_docs;
use database nyc_taxi;
select
zipcode,
dropoff_cell,
h3_centerasgeojson(dropoff_cell) :coordinates [0] as dropoff_centroid_x,
h3_centerasgeojson(dropoff_cell) :coordinates [1] as dropoff_centroid_y,
format_number(count(*), 0) as count_disp,
count(*) as `count`
from
lga_fd_dropoff_h3_12
group by
zipcode,
dropoff_cell
order by
zipcode,
`count` DESC;
Notebook untuk Databricks Runtime 11.3 LTS ke atas
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