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

Dapatkan buku catatan

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;

Jumlah LGA-FD H3 1

Jumlah LGA-FD H3 2

Notebook untuk Databricks Runtime 11.3 LTS ke atas

Mulai Cepat-Python: H3 NYC Taxi LaGuardia ke Manhattan

Dapatkan buku catatan

Struktur mulai cepat yang sama seperti di Databricks SQL, menggunakan pengikatan Spark Python dalam Notebook + kepler.gl.

Mulai Cepat-Scala: H3 NYC Taxi LaGuardia ke Manhattan

Dapatkan buku catatan

Struktur mulai cepat yang sama seperti di Databricks SQL, menggunakan pengikatan Spark Scala dalam Notebooks + kepler.gl melalui sel Python.

Mulai Cepat-SQL: H3 NYC Taxi LaGuardia ke Manhattan

Dapatkan buku catatan

Struktur mulai cepat yang sama seperti di Databricks SQL, menggunakan pengikatan Spark SQL dalam Notebooks + kepler.gl melalui sel Python.