Snowflake

A data warehouse built for the cloud

Integrate the Snowflake API with the Schedule API

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

Insert Multiple Rows with Snowflake API on Custom Interval from Schedule API
Schedule + Snowflake
 
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Insert Multiple Rows with Snowflake API on Daily schedule from Schedule API
Schedule + Snowflake
 
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Insert Multiple Rows with Snowflake API on Monthly Schedule from Schedule API
Schedule + Snowflake
 
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Insert Multiple Rows with Snowflake API on Weekly schedule from Schedule API
Schedule + Snowflake
 
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Insert Row with Snowflake API on Custom Interval from Schedule API
Schedule + Snowflake
 
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Custom Interval from the Schedule API

Trigger your workflow every N hours, minutes or seconds.

 
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Daily schedule from the Schedule API

Trigger your workflow every day.

 
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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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Monthly Schedule from the Schedule API

Trigger your workflow on one or more days each month at a specific time (with timezone support).

 
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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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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
  },
})

Overview of Schedule

With Schedule - A trigger provided by Pipedream - You can easily build
automated workflows that run on regular times or intervals. Some examples of
things that you can build using the Schedule API include:

  • Automated data retrieval from a third-party service, like pulling stats from
    your Salesforce account on a set schedule.
  • Uploading new data sets to a database with a predetermined interval.
  • Automatic emails to customers or leads at a certain time of the day.
  • Automating data analysis based on a set schedule.
  • Automatically optimizing social media postings according to a specified
    timeline.
  • Updating webpages at a certain interval with newly available content.
  • Re-running reports on a periodic basis.
  • Refreshing a cache of data at a given frequency.