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CREATE DATABASE IF NOT EXISTS iris_db;
USE iris_db;
CREATE TABLE IF NOT EXISTS iris (
vector VECTOR(4),
species VARCHAR(20)
);
INSERT INTO iris VALUES
@VeryFatBoy
VeryFatBoy / DEFRA AUR Data Downloader.ipynb
Created March 28, 2023 10:50 — forked from psychemedia/DEFRA AUR Data Downloader.ipynb
DEFRA AUR Data Downloader - quick hack for downloading UK air quality data
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CREATE DATABASE IF NOT EXISTS rcte_demo;
USE rcte_demo;
CREATE TABLE IF NOT EXISTS stations_route (
station_from VARCHAR(22),
station_to VARCHAR(22),
distance NUMERIC(4,2)
);
DROP DATABASE IF EXISTS e_store;
CREATE DATABASE IF NOT EXISTS e_store
DEFAULT CHARACTER SET utf8
DEFAULT COLLATE utf8_general_ci;
USE e_store;
CREATE TABLE brands (
id INT UNSIGNED NOT NULL AUTO_INCREMENT,
CREATE DATABASE iris_db;
USE iris_db;
CREATE TABLE iris (
sepal_length FLOAT,
sepal_width FLOAT,
petal_length FLOAT,
petal_width FLOAT,
species VARCHAR(20)
sepal_length sepal_width petal_length petal_width species
5.1 3.5 1.4 0.2 Iris-setosa
4.9 3 1.4 0.2 Iris-setosa
4.7 3.2 1.3 0.2 Iris-setosa
4.6 3.1 1.5 0.2 Iris-setosa
5 3.6 1.4 0.2 Iris-setosa
5.4 3.9 1.7 0.4 Iris-setosa
4.6 3.4 1.4 0.3 Iris-setosa
5 3.4 1.5 0.2 Iris-setosa
4.4 2.9 1.4 0.2 Iris-setosa
CREATE DATABASE IF NOT EXISTS iris_db;
USE iris_db;
CREATE TABLE IF NOT EXISTS iris (
vector BLOB,
species VARCHAR(20)
);
INSERT INTO iris VALUES
import pandas as pd
import geopandas as gpd
from shapely import wkt
import time
# Read pub points from CSV to a pandas dataframe
pubs = pd.read_csv('~/Documents/pub_points.csv',
header=None, names=['name', 'coordinates'])
# Parse the WKT coordinate format from PostGIS
version: '2'
services:
memsql:
image: 'memsql/cluster-in-a-box'
ports:
- 3306:3306
- 8080:8080
environment:
LICENSE_KEY: ${LICENSE_KEY}
# A deployment ensures pod(s) are restarted on failure
apiVersion: apps/v1
kind: Deployment
metadata:
name: memsql
spec:
replicas: 1 # only create one pod (container)
selector:
matchLabels:
app: memsql