PostgreSQL, MySQL, MS SQL, BigQuery, Snowflake

In this quick start guide, we will write our first script in SQL. We will see how to connect a Windmill instance to an external SQL service and then send queries to the database using Windmill Scripts.

Windmill & PostgreSQL, MySQL, BigQuery and Snowflake

This tutorial covers how to create a simple script through Windmill web IDE. See the dedicated page to Develop Scripts Locally.

Local Development

Develop from various environments such as your terminal, VS Code, and JetBrains IDEs.

Windmill supports PostgreSQL, MySQL, Microsoft SQL Server, BigQuery and Snowflake. In any case, it requires creating a dedicated resource.

Although all users can use BigQuery, Snowflake and MS SQL through resources and community-available languages (TypeScript, Python, Go, Bash etc.), only instances under Enterprise edition and cloud workspaces can use BigQuery, Snowflake and MS SQL runtimes as a dedicated language.

Create Resource

Windmill provides integrations with many different apps and services with the use of Resources. Resources are rich objects in JSON that allow to store configuration and credentials.

Each Resource has a Resource Type (PostgreSQL, MySQL, MS SQL, BigQuery, Snowflake) that defines the schema that the resource of this type needs to implement. Schemas implement the JSON Schema specification.

Resources and Resource Types

Resources are structured configurations and connections to third-party systems, with Resource Types defining the schema for each Resource.

tip

You can find a list of all the officially supported Resource Types on Windmill Hub.

tip

You can pin a resource to an SQL query by adding a -- database resource_path line to your script. The query will automatically use the resource without having to specify it in the autogenerated user interface.

PostgreSQL

To be able to connect to a PostgreSQL instance (Supabase, Neon.tech, etc.), we'll need to define a Resource with the PostgreSQL Resource Type first.

Head to the Resources page in the Windmill app, click on "Add a resource/API" in the top right corner and select the PostgreSQL type.

Select PostgreSQL Resource Type

Fill out the form with the information of your PostgreSQL instance and "Test connection" if needed.

Paste in Resource Values

tip

For testing purposes, you can use the sample PostgreSQL Resource provided to every user. It is available under the path f/examples/demo_windmillshowcases.

PostgreSQL: Add a Supabase Database

Windmill provides a wizard to easily add a Supabase database through PostgreSQL.

When creating a new PostgreSQL resource, just "Add a Supabase DB". This will lead you to a Supabase page where you need to pick your organization. Then on Windmill pick a database, fill with database password and that's it.

Use SQL to build on external APIs using Sequin

With Sequin, developers can build on top of third-party services like Salesforce or HubSpot using SQL. More details at:

Use SQL to build on external APIs using Sequin

With Sequin, developers can build on top of third-party services like Salesforce or HubSpot using SQL.

MySQL

To be able to connect to a MySQL instance, we'll need to define a Resource with the MySQL Resource Type first.

Head to the Resources page in the Windmill app, click on "Add a resource/API" in the top right corner and select the MySQL type.

Select MySQL Resource Type

Fill out the form with the information of your MySQL instance and "Test connection" if needed.

Paste in Resource Values

Property	Type	Description	Default	Required	Where to Find
host	string	Instance host		false	Your hosting provider's control panel or in your server's MySQL configuration file
port	number	Instance port	3306	false	Your hosting provider's control panel or in your server's MySQL configuration file
user	string	Username		true	Created in MySQL (e.g., via phpMyAdmin or MySQL Workbench) or provided by your hosting
database	string	Database name		true	Created in MySQL (e.g., via phpMyAdmin or MySQL Workbench) or provided by your hosting
password	string	User's password		true	Created in MySQL (e.g., via phpMyAdmin or MySQL Workbench) or provided by your hosting

MS SQL

To be able to connect to a Microsoft SQL Server instance, we'll need to define a Resource with the ms_sql_server Resource Type first.

Head to the Resources page in the Windmill app, click on "Add a resource/API" in the top right corner and select the ms_sql_server type.

Select MySQL Resource Type

Fill out the form with the information of your MySQL instance and "Test connection" if needed.

Paste in Resource Values

Property	Type	Description	Required	Where to Find
host	string	Instance host	true	Your hosting provider's control panel or in your server's MS SQL configuration file
port	number	Instance port	false	Your hosting provider's control panel or in your server's MS SQL configuration file
user	string	Username	true	Created in MS SQL (e.g., via SQL Server Management Studio) or provided by your hosting
dbname	string	Database name	true	Created in MS SQL (e.g., via SQL Server Management Studio) or provided by your hosting
password	string	User's password	true	Created in MS SQL (e.g., via SQL Server Management Studio) or provided by your hosting

To specify the application intent for read-only requests, add -- ApplicationIntent=ReadOnly to the script.

BigQuery

To be able to connect to a BigQuery instance, we'll need to define a Resource with the BigQuery Resource Type first.

Head to the Resources page in the Windmill app, click on "Add a resource/API" in the top right corner and select the BigQuery type.

Select BigQuery Resource Type

Property	Type	Description	Required
auth_provider_x509_cert_url	string	Auth provider X.509 certificate URL.	false
client_x509_cert_url	string	Client X.509 certificate URL.	false
private_key_id	string	ID of the private key used for authentication.	false
client_email	string	Email associated with the service account.	false
private_key	string	Private key used for authentication.	false
project_id	string	Google Cloud project ID.	true
token_uri	string	OAuth 2.0 token URI.	false
client_id	string	Client ID used for OAuth 2.0 authentication.	false
auth_uri	string	OAuth 2.0 authorization URI.	false
type	string	Type of the authentication method.	false

Here's a step-by-step guide on where to find each detail.

Service Account Creation:
- Go to the Google Cloud Console.
- Select the appropriate project from the top menu.
- In the left navigation pane, go to "IAM & Admin" > "Service accounts".
- Click on the "+ CREATE SERVICE ACCOUNT" button.
- Provide a name and optional description for the service account.
- Click "Create".
Assign Roles:
- After creating the service account, you'll be prompted to grant roles to it. Select "BigQuery" roles such as "BigQuery Admin" or "BigQuery Data Editor" based on your needs.
- Click "Continue" and "Done" to create the service account.
Generate Key:
- In the "Service accounts" section, find the newly created service account in the list.
- Click on the three dots on the right and select "Manage keys", then "Add Key".
- Choose the key type as "JSON" and click "Create".
Properties Details:

Once you've generated the key, the downloaded JSON file will contain all the required properties.

You can directly "Test connection" if needed.

Snowflake

To be able to connect to a Snowflake instance, we'll need to define a Resource with the Snowflake Resource Type first.

Head to the Resources page in the Windmill app, click on "Add a resource/API" in the top right corner and select the Snowflake type.

Select Snowflake Resource Type

Property	Type	Description	Required
account_identifier	string	Snowflake account identifier in the format `<orgname>-<account_name>`.	true
private_key	string	Private key used for authentication.	true
public_key	string	Public key used for authentication.	true
warehouse	string	Snowflake warehouse to be used for queries.	false
username	string	Username for Snowflake login.	true
database	string	Name of the Snowflake database to connect to.	true
schema	string	Schema within the Snowflake database.	false
role	string	Role to be assumed upon connection.	false

Here's a step-by-step guide on where to find each detail.

Account Identifier:

The account identifier typically follows the format: <orgname>-<account_name>. You can find it in the Snowflake web interface:
- Log in to your Snowflake account.
- The account identifier can often be found in the URL or at the top of the Snowflake interface after you log in (in the format https://app.snowflake.com/orgname/account_name/).
Snowflake Documentation on Account Identifier
Username:

The username is the Snowflake user you will use to connect to the database. You will need to create a user if you don't have one:
- In the Snowflake web interface, go to the "ACCOUNT" tab.
- Select "Users" from the left navigation pane.
- Click the "+ CREATE USER" button to create a new user with a username and password.
Public Key and Private Key:

To create the public and private keys, you will need to generate them using a tool like OpenSSL:
- Open a terminal window.
- Use OpenSSL to generate a public and private key pair. The exact commands may vary based on your operating system.
- For example, to generate a public key: openssl rsa -pubout -in private_key.pem -out public_key.pem
Once you have the keys, you can copy the content and paste them into the respective fields in your configuration.

Snowflake Documentation on Key Pair Authentication & Key Pair Rotation
Warehouse, Schema, Database, and Role:

These parameters are specific to your Snowflake environment and will depend on how your Snowflake instance is configured:
- warehouse: The name of the Snowflake warehouse you want to connect to.
- schema: The name of the Snowflake schema you want to use.
- database: The name of the Snowflake database you want to connect to.
- role: The role you want to use for authentication.
You can find these details in the Snowflake web interface:
- Log in to your Snowflake account.
- You can find the names of warehouses, schemas, databases, and roles in the interface or by running SQL queries.

You can directly "Test connection" if needed.

Amazon Redshift

To connect to an Amazon Redshift instance, we need to add the corresponding resource. Redshift is compatible with Windmill's PostgreSQL resources and scripts, so we'll start by adding a new PostgrSQL resource type.

Select PostgreSQL Resource Type

Get the required values from the AWS console under CLUSTERS > your Redshift cluster.

AWS Redshift Cluster Screen

Find the value named 'endpoint' it should look like this:

default-workgroup.475893240789.us-east-1.redshift-serverless.amazonaws.com:5439/dev

From there you can deduce your host, port and database name:

host: default-workgroup.475893240789.us-east-1.redshift-serverless.amazonaws.com
port: 5439
dbname: dev

Now you can fill those values in Windmill, fill also the user and password for the db and press "Test connection" to check that it's working.

Fill in the required values

Once it's working press save and you have succesfully added your Redshift instance as a PostgreSQL resource!

Create Script

Next, let's create a script that will use the newly created Resource. From the Home page, click on the "+Script" button. Name the Script, give it a summary, and select your preferred language, PostgreSQL, MySQL, MS SQL, BigQuery, Snowflake.

Script creation first step

You can also give more details to your script, in the settings section, you can also get back to that later at any point.

PostgreSQL

Arguments need to be passed in the given format:

-- $1 name1 = default arg
-- $2 name2
INSERT INTO demo VALUES ($1::TEXT, $2::INT) RETURNING *

"name1", "name2" being the names of the arguments, and "default arg" the optional default value.

Database resource can be specified from the UI or directly within script with a line -- database resource_path.

You can then write your prepared statement.

MySQL

Arguments need to be passed in the given format:

-- :name1 (text) = default arg
-- :name2 (int)
INSERT INTO demo VALUES (:name1, :name2)

"name1", "name2" being the names of the arguments, and "default arg" the optional default value.

Database resource can be specified from the UI or directly within script with a line -- database resource_path.

You can then write your prepared statement.

Mysql statement

MS SQL

Arguments need to be passed in the given format:

-- @p1 name1 (varchar) = default arg
-- @p2 name2 (int)
INSERT INTO demo VALUES (@p1, @p2)

"name1", "name2" being the names of the arguments, and "default arg" the optional default value.

Database resource can be specified from the UI or directly within script with a line -- database resource_path.

You can then write your prepared statement.

Mysql statement

BigQuery

Arguments need to be passed in the given format:

-- @name1 (string) = default arg
-- @name2 (integer)
-- @name3 (string[])
INSERT INTO `demodb.demo` VALUES (@name1, @name2, @name3)

"name1", "name2", "name3" being the names of the arguments, "default arg" the optional default value and string, integer and string[] the types.

Database resource can be specified from the UI or directly within script with a line -- database resource_path.

You can then write your prepared statement.

Snowflake

Arguments need to be passed in the given format:

-- ? name1 (varchar) = default arg
-- ? name2 (int)
INSERT INTO demo VALUES (?, ?)

"name1", "name2" being the names of the arguments, "default arg" the optional default value and varchar & int the types.

Database resource can be specified from the UI or directly within script with a line -- database resource_path.

You can then write your prepared statement.

Snowflake statement

Amazon Redshift

Since Redshift is compatible with Windmill's PostgreSQL, you can follow the same instructions as for PostgreSQL scripts. Make sure to select your Redshift instance as a resource.

Remeber when using a a Redshift resource, you should write valid Redshift, and not PostgreSQL. For example the RETURNING * syntax is not supported, so you may want to change the default script to something like:

-- $1 name1 = default arg
-- $2 name2
INSERT INTO demo VALUES ($1::TEXT, $2::INT)

Learn more about the differences here.

Raw Queries

A more convenient but less secure option is to execute raw queries with a TypeScript, Deno or Python client. This enables you more flexibility than SQL prepared statement. You can for instance do string interpolation to make the name of the table a parameter of your script: SELECT * FROM ${table}. However this is dangerous since the string is directly interpolated and this open the door for SQL injections. Use with care and only in trusted environment.

PostgreSQL

TypeScript (Bun)
TypeScript (Deno)
Python

import * as wmill from 'windmill-client';
import { Client } from 'pg';

// Define the resource type as specified
type Postgresql = {
  host: string,
  port: number,
  user: string,
  dbname: string,
  sslmode: string,
  password: string,
  root_certificate_pem: string
}

// The main function that will execute a query on a Postgresql database
export async function main(query = 'SELECT * FROM demo', pg_resource: Postgresql) {
  // Initialize the PostgreSQL client with SSL configuration disabled for strict certificate validation
  const client = new Client({
    host: pg_resource.host,
    port: pg_resource.port,
    user: pg_resource.user,
    password: pg_resource.password,
    database: pg_resource.dbname,
    ssl: pg_resource.ssl,
  });

  try {
    // Connect to the database
    await client.connect();

    // Execute the query
    const res = await client.query(query);

    // Close the connection
    await client.end();

    // Return the query result
    return res.rows;
  } catch (error) {
    console.error('Database query failed:', error);
    // Rethrow the error to handle it outside or log it appropriately
    throw error;
  }
}

View script on Windmill Hub.

import {
  type Sql,
} from "https://deno.land/x/windmill@v1.88.1/mod.ts";

import { Client } from "https://deno.land/x/postgres@v0.17.0/mod.ts"

type Postgresql = {
  host: string;
  port: number;
  user: string;
  dbname: string;
  sslmode: string;
  password: string;
};
export async function main(db: Postgresql, query: Sql = "SELECT * FROM demo;") {
  if (!query) {
    throw Error("Query must not be empty.");
  }
  const { rows } = await pgClient(db).queryObject(query);
  return rows;
}

export function pgClient(db: any) {    
  let db2 = {
    ...db,
    hostname: db.host,
    database: db.dbname,
    tls: {
        enabled: false,
    },
  }
  return new Client(db2)
}

View script on Windmill Hub.

from typing import TypedDict, Dict, Any
import psycopg2

# Define the PostgreSQL resource type as specified
class postgresql(TypedDict):
    host: str
    port: int
    user: str
    dbname: str
    sslmode: str
    password: str
    root_certificate_pem: str

def main(query: str, db_config: postgresql) -> Dict[str, Any]:
    # Connect to the PostgreSQL database
    conn = psycopg2.connect(
        host=db_config["host"],
        port=db_config["port"],
        user=db_config["user"],
        password=db_config["password"],
        dbname=db_config["dbname"],
        sslmode=db_config["sslmode"],
        sslrootcert=db_config["root_certificate_pem"],
    )

    # Create a cursor object
    cur = conn.cursor()

    # Execute the query
    cur.execute(query)

    # Fetch all rows from the last executed statement
    rows = cur.fetchall()

    # Close the cursor and connection
    cur.close()
    conn.close()

    # Convert the rows to a list of dictionaries to make it more readable
    columns = [desc[0] for desc in cur.description]
    result = [dict(zip(columns, row)) for row in rows]

    return result

View script on Windmill Hub.

tip

You can find more Script examples related to PostgreSQL on Windmill Hub.

MySQL

The same logic goes for MySQL.

TypeScript (Bun)
TypeScript (Deno)
Python

import { createConnection } from 'mysql';

// Define the Mysql resource type as specified
type Mysql = {
  ssl: boolean,
  host: string,
  port: number,
  user: string,
  database: string,
  password: string
}

// The main function that will execute a query on a Mysql resource
export async function main(mysqlResource: Mysql, query: string): Promise<any> {
  // Create a promise to handle the MySQL connection and query execution
  return new Promise((resolve, reject) => {
    // Create a connection to the MySQL database using the resource credentials
    const connection = createConnection({
      host: mysqlResource.host,
      port: mysqlResource.port,
      user: mysqlResource.user,
      password: mysqlResource.password,
      database: mysqlResource.database,
      ssl: mysqlResource.ssl
    });

    // Connect to the MySQL database
    connection.connect(err => {
      if (err) {
        reject(err);
        return;
      }

      // Execute the query provided as a parameter
      connection.query(query, (error, results) => {
        // Close the connection after the query execution
        connection.end();

        if (error) {
          reject(error);
        } else {
          resolve(results);
        }
      });
    });
  });
}

View script on Windmill Hub.

import { createPool as createMysqlPool } from "npm:mysql2/promise";

// Define the MySQL resource type as specified
type Mysql = {
  ssl: boolean,
  host: string,
  port: number,
  user: string,
  database: string,
  password: string

}

// The main function that executes a query on a MySQL database
export async function main(
  mysqlResource: Mysql,
  query: string,
): Promise<any> {
  // Adjust the SSL configuration based on the mysqlResource.ssl value
  const sslConfig = mysqlResource.ssl ? { rejectUnauthorized: true } : false;

  // Create a new connection pool using the provided MySQL resource
  const pool = createMysqlPool({
    host: mysqlResource.host,
    user: mysqlResource.user,
    database: mysqlResource.database,
    password: mysqlResource.password,
    port: mysqlResource.port,
    // Use the adjusted SSL configuration
    ssl: sslConfig,
    waitForConnections: true,
    connectionLimit: 10,
    queueLimit: 0,
  });

  try {
    // Get a connection from the pool and execute the query
    const [rows] = await pool.query(query);
    return rows;
  } catch (error) {
    // If an error occurs, throw it to be handled by the caller
    throw new Error(`Failed to execute query: ${error}`);
  } finally {
    // Always close the pool after the operation is complete
    await pool.end();
  }
}

View script on Windmill Hub.

from typing import TypedDict
import mysql.connector as mysql_connector

# Define the MySQL resource type
class mysql(TypedDict):
    ssl: bool
    host: str
    port: float
    user: str
    database: str
    password: str

def main(mysql_credentials: mysql, query; str) -> str:
    # Connect to the MySQL database using the provided credentials
    connection = mysql_connector.connect(
        host=mysql_credentials["host"],
        user=mysql_credentials["user"],
        password=mysql_credentials["password"],
        database=mysql_credentials["database"],
        port=int(mysql_credentials["port"]),
        ssl_disabled=not mysql_credentials["ssl"],
    )

    # Create a cursor object
    cursor = connection.cursor()

    # Execute the query
    cursor.execute(query)

    # Fetch one result
    result = cursor.fetchone()

    # Close the cursor and connection
    cursor.close()
    connection.close()

    # Return the result
    return str(result[0])

View script on Windmill Hub.

And so on for MS SQL, BigQuery and Snowflake.

Customize your script

After you're done, click on "Deploy", which will save it to your workspace. You can now use this Script in your Flows, app or as standalone.

Feel free to customize your script's metadata (path, name, description), runtime (concurrency limits, worker group, cache, dedicated workers) and generated UI.

Customize SQL

Settings

Each script has metadata & settings associated with it, enabling it to be defined and configured in depth.

Generated UI

main function's arguments can be given advanced settings that will affect the inputs' auto-generated UI and JSON Schema.

What's next?

Those scripts are minimal working examples, but there's a few more steps that can be useful in a real-world use case:

Pass variables and secrets to a script.
Connect to resources.
Trigger that script in many ways.
Compose scripts in Flows or Apps (in particular, Database Studio to visualize and manage your databases in apps).
You can share your scripts with the community on Windmill Hub. Once submitted, they will be verified by moderators before becoming available to everyone right within Windmill.

Scripts are immutable and there is a hash for each deployment of a given script. Scripts are never overwritten and referring to a script by path is referring to the latest deployed hash at that path.

Versioning

Scripts, when deployed, can have a parent script identified by its hash.

For each script, a UI is autogenerated from the jsonchema inferred from the script signature, and can be customized further as standalone or embedded into rich UIs using the App builder.

Auto-generated UIs

Windmill creates auto-generated user interfaces for scripts and flows based on their parameters.

Generated UI

main function's arguments can be given advanced settings that will affect the inputs' auto-generated UI and JSON Schema.

In addition to the UI, sync and async webhooks are generated for each deployment.

Webhooks

Trigger scripts and flows from webhooks.

Database Studio

From Windmill App Editor, you can also use the Database Studio component to visualize and manage your databases (PostgreSQL / MySQL / MS SQL / Snowflake / BigQuery are all supported).

Database Studio

The Database Studio component allows you to:

Display the content of a table.
Edit the content of a table by directly editing the cells (only when the cell is editable).
Add a new row.
Delete a row.

All details at:

Database Studio

The Database Studio is a web-based database management tool that leverages Ag Grid for table display and interaction

PostgreSQL, MySQL, MS SQL, BigQuery, Snowflake

Create Resource​

PostgreSQL​

PostgreSQL: Add a Supabase Database​

Use SQL to build on external APIs using Sequin​

MySQL​

MS SQL​

BigQuery​

Snowflake​

Amazon Redshift​

Create Script​

PostgreSQL​

MySQL​

MS SQL​

BigQuery​

Snowflake​

Amazon Redshift​

Raw Queries​

PostgreSQL​

MySQL​

Customize your script​

What's next?​

Database Studio​

Create Resource

PostgreSQL

PostgreSQL: Add a Supabase Database

Use SQL to build on external APIs using Sequin

MySQL

MS SQL

BigQuery

Snowflake

Amazon Redshift

Create Script

PostgreSQL

MySQL

MS SQL

BigQuery

Snowflake

Amazon Redshift

Raw Queries

PostgreSQL

MySQL

Customize your script

What's next?

Database Studio