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Snowquery

Overview

Run SQL queries on Snowflake, Redshift, or a postgres database from an R script.

This package is designed to make it easy to run SQL queries from R. It is designed to work with Snowflake, Redshift, or a postgres database. It is not designed to work with other databases, but it could be extended to do so.

Installation

# The easiest way to get snowquery
install.packages("snowquery")

# Or you can get the development version from GitHub
# install.packages("devtools")
devtools::install_github("mermelstein/snowquery")

Redshift notes

Redshift is currently only available on the development version of this package. See installation instructions above.

When connecting to a Redshift DWH you might need to specify an SSL connection. You can do this with a sslmode='require' connection variable or by passing that to the queryDB() function directly.

Snowflake notes

Because Snowflake’s driver requires a ton of fiddling in order to make it work for R. It sucks. A lot.

To sum up the current experience of running SQL against Snowflake from:

• python: good ✅
• R: bad ❌

That’s why the snowquery package takes the Snowflake python connector and leverages it in the background to run queries from R.

Documentation

For more information on using snowquery, please see the package website.

Requirements for Use

Redshift and Postgres db connections are entirely contained by this package. If querying Snowflake you must have a local python installation and the Snowflake python connector installed. If you need to install python you can do that with Homebrew from the terminal:

# for example to install python 3.10 on MacOS
brew install python@3.10

If you need to install the Snowflake python connector, you can do that with the following command from the terminal:

pip install "snowflake-connector-python[pandas]"

Credentials

For all db connections you will need to have your database credentials in a YAML file called snowquery_creds.yaml. The file should be located in the root directory of your machine and should have the following format (depending on which database type you are connecting to):

---
my_snowflake_dwh:
    db_type: snowflake
    account: 
    warehouse: 
    database: 
    username: 
    password: 
    role: 
my_redshift_dwh:
    db_type: redshift
    sslmode: require
    host: 
    port: 
    database: 
    username: 
    password: 
my_postgres_db:
    db_type: postgres
    host: 
    port: 
    database: 
    username: 
    password: 

This follows a named connection format, where you can have multiple named connections in the same file. For example you might have a my_snowflake_dwh connection and a my_snowflake_admin connection, each with their own credentials.

This package looks for the credential file at this location: ~/snowquery_creds.yaml. If it is in any other location it will not work. If the package cannot locate the file you will receive an error like: cannot open file '/expected/path/to/file/snowquery_creds.yaml': No such file or directory. You can manually pass credentials to the queryDB() function but it is recommended to use the YAML file.

You are now ready to query away!

Usage

Load this library in your R environment with library(snowquery).

There is one function you need: queryDB(). It will take a SQL query as a string parameter and run it on the db.

For example:

library(snowquery)

query <- "SELECT * FROM MY_AWESOME_TABLE"
result_dataframe <- queryDB(query, conn_name='my_snowflake_dwh')
print(result_dataframe)

or

library(snowquery)

queryDB("SELECT * FROM MY_AWESOME_TABLE", conn_name='my_snowflake_dwh')

or

library(snowquery)
# You can also pass in credentials manually
result <- queryDB("SELECT * FROM my_table",
                   db_type='snowflake',
                   username='my_username',
                   password='my_password',
                   account='my_account',
                   database='my_database',
                   warehouse='my_warehouse',
                   role='my_role',
                   timeout=30)
print(result)

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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