Snowflake

A data warehouse built for the cloud

Integrate the Snowflake API with the Node API

Setup the Snowflake API trigger to run a workflow which integrates with the Node API. Pipedream's integration platform allows you to integrate Snowflake and Node remarkably fast. Free for developers.

Run Node Code with Node API on New Row from Snowflake API
Snowflake + Node
 
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Run Node Code with Node API on Query Results from Snowflake API
Snowflake + Node
 
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New Query Results from the Snowflake API

Run a SQL query on a schedule, triggering a workflow for each row of results

 
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New Row from the Snowflake API

Emit new event when a row is added to a table

 
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Insert Multiple Rows with the Snowflake API

Insert multiple rows into a table

 
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Run Node Code with the Node API

Write custom Node.js code and use any of the 400k+ npm packages available. Refer to the Pipedream Node docs to learn more.

 
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Insert Single Row with the Snowflake API

Insert a row into a table

 
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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. We recommend you create a read-only account if you only need to query Snowflake.

2. Enter those details in Pipedream

  1. Visit https://pipedream.com/accounts
  2. Click the button to Connect an App
  3. Enter the required Snowflake data.

You'll only need to connect your account once in Pipedream. You can use this account 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

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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
  },
})

Connect Node

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// To use previous step data, pass the `steps` object to the run() function
export default defineComponent({
  async run({ steps, $ }) {
    // Return data to use it in future steps
    return steps.trigger.event
  },
})

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