Microsoft SQL Server
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Integrate the Microsoft SQL Server API with the Snowflake API
Setup the Microsoft SQL Server API trigger to run a workflow which integrates with the Snowflake API. Pipedream's integration platform allows you to integrate Microsoft SQL Server and Snowflake remarkably fast. Free for developers.
Popular Ways to Connect Microsoft SQL Server with Snowflake#
Popular Microsoft SQL Server and Snowflake Triggers#
Run a SQL query on a schedule, triggering a workflow for each row of results
Triggers when a new column is added to a table. See the documentation
Triggers when a new row is added or an existing row is updated. See the documentation
Popular Microsoft SQL Server and Snowflake Actions#
Executes a SQL query and returns the results. See the documentation
Overview of Microsoft SQL Server#
With the Microsoft SQL Server API on Pipedream, you can automate your database operations and create powerful integrations. This API allows you to execute queries, manage databases, and trigger actions based on data changes. Implementing workflows that react to database events, manipulate data, or synchronize SQL Server data with other services, becomes effortless with Pipedream's serverless platform.
Connect Microsoft SQL Server#
import sql from "mssql"
export default defineComponent({
props: {
microsoft_sql_server: {
type: "app",
app: "microsoft_sql_server",
}
},
async run({steps, $}) {
const { host, username, password, port, database } = this.microsoft_sql_server.$auth
const conn_str = `Server=${host},${port};Database=${database};User Id=${username};Password=${password};Encrypt=true`;
await sql.connect(conn_str);
return await sql.query`SELECT GETDATE()`
},
})
Overview of Snowflake#
Snowflake offers a cloud database and related tools to help developers create robust, secure, and scalable data warehouses. See Snowflake's Key Concepts & Architecture.
Getting Started
1. Create a user, role and warehouse in Snowflake
Snowflake recommends you create a new user, role, and warehouse when you integrate a third-party tool like Pipedream. This way, you can control permissions via the user / role, and separate Pipedream compute and costs with the warehouse. You can do this directly in the Snowflake UI.
We recommend you create a read-only account if you only need to query Snowflake. If you need to insert data into Snowflake, add permissions on the appropriate objects after you create your user.
2. Enter those details in Pipedream
Visit https://pipedream.com/accounts. Click the button to Connect an App. Enter the required Snowflake account data.
You'll only need to connect your account once in Pipedream. You can connect this account to multiple workflows to run queries against Snowflake, insert data, and more.
3. Build your first workflow
Visit https://pipedream.com/new to build your first workflow. Pipedream workflows let you connect Snowflake with 1,000+ other apps. You can trigger workflows on Snowflake queries, sending results to Slack, Google Sheets, or any app that exposes an API. Or you can accept data from another app, transform it with Python, Node.js, Go or Bash code, and insert it into Snowflake.
Learn more at Pipedream University.
Connect Snowflake#
import { promisify } from 'util'
import snowflake from 'snowflake-sdk'
export default defineComponent({
props: {
snowflake: {
type: "app",
app: "snowflake",
}
},
async run({steps, $}) {
const connection = snowflake.createConnection({
...this.snowflake.$auth,
application: "PIPEDREAM_PIPEDREAM",
})
const connectAsync = promisify(connection.connect)
await connectAsync()
async function connExecuteAsync(options) {
return new Promise((resolve, reject) => {
connection.execute({
...options,
complete: function(err, stmt, rows) {
if (err) {
reject(err)
} else {
resolve({stmt, rows})
}
}
})
})
}
// See https://docs.snowflake.com/en/user-guide/nodejs-driver-use.html#executing-statements
const { rows } = await connExecuteAsync({
sqlText: `SELECT CURRENT_TIMESTAMP()`,
})
return rows
},
})