Load data

The following steps will guide you through setting up a Snowflake account and uploading the demo dataset, which is stored as CSV files in a public S3 bucket.

First, let’s create a warehouse, database, and schema. Paste the following SQL into the Editor of the Snowflake worksheet and click Run.

CREATE WAREHOUSE cube_demo_wh;
CREATE DATABASE cube_demo;
CREATE SCHEMA cube_demo.ecom;

We’re going to create four tables in the ecom schema and seed them with data from S3.

First, let’s create line_items table. Delete the previous SQL in your Editor and then run the following command.

CREATE TABLE cube_demo.ecom.line_items
( id INTEGER,
  order_id INTEGER,
  product_id INTEGER,
  price INTEGER,
  created_at TIMESTAMP
);

Clear all the content in the Editor and run the following command to load data into the line_items table.

COPY INTO cube_demo.ecom.line_items (id, order_id, product_id, price, created_at)
FROM 's3://cube-tutorial/line_items.csv'
FILE_FORMAT = (TYPE = 'CSV' FIELD_DELIMITER = ',' SKIP_HEADER = 1);

Now, we’re going to repeat these steps for three other tables.

Run the following command to create the orders table.

CREATE TABLE cube_demo.ecom.orders
( id INTEGER,
  user_id INTEGER,
  status VARCHAR,
  completed_at TIMESTAMP,
  created_at TIMESTAMP
);

Run the following command to load data into the orders table from S3.

COPY INTO cube_demo.ecom.orders (id, user_id, status, completed_at, created_at)
FROM 's3://cube-tutorial/orders.csv'
FILE_FORMAT = (TYPE = 'CSV' FIELD_DELIMITER = ',' SKIP_HEADER = 1);

Run the following command to create the users table.

CREATE TABLE cube_demo.ecom.users
( id INTEGER,
  user_id INTEGER,
  city VARCHAR,
  age INTEGER,
  gender VARCHAR,
  state VARCHAR,
  first_name VARCHAR,
  last_name VARCHAR,
  created_at TIMESTAMP
);

Run the following command to load data into the users table.

COPY INTO cube_demo.ecom.users (id, city, age, gender, state, first_name, last_name, created_at)
FROM 's3://cube-tutorial/users.csv'
FILE_FORMAT = (TYPE = 'CSV' FIELD_DELIMITER = ',' SKIP_HEADER = 1);

Run the following command to create the products table.

CREATE TABLE cube_demo.ecom.products
( id INTEGER,
  name VARCHAR,
  product_category VARCHAR,
  created_at TIMESTAMP
);

Run the following command to load data into the products table.

COPY INTO cube_demo.ecom.products (id, name, created_at, product_category)
FROM 's3://cube-tutorial/products.csv'
FILE_FORMAT = (TYPE = 'CSV' FIELD_DELIMITER = ',' SKIP_HEADER = 1);

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