In this tutorials, we show how to load a CSV file from Amazon S3 to a Snowflake table.

We’ve also covered how to load JSON files to Snowflake.

(This article is part of our Snowflake Guide. Use the right-hand menu to navigate.)

Sample data

You need some data to work through this example. Download 1,000 weather records from here. (We purchased 20 years of weather data for Paphos, Cyprus, from OpenWeather. This is just a small subset of 1,000 records converted to CSV format.)

Upload this data to Amazon S3 like this:

aws s3 cp paphosWeather.csv s3://gluebmcwalkerrowe/paphosWeather.csv

Create table in Snowflake

Unfortunately, Snowflake does not read the header record and create the table for you. (Presumably that is because they would prefer that you define the column data types, number precision, and size.)

create table weather(
dt integer,
temp decimal(6,2),
temp_min decimal(6,2),
temp_max decimal(6,2),
pressure int,
humidity int,
speed decimal(6,2),
deg int,
main varchar(50),
description varchar(50))