SavvyCal

The thoughtful way to find a time to meet You’ll love it for the advanced features to keep you in control of your calendar. They’ll love it for the personalized scheduling experience.

Integrate the SavvyCal API with the Snowflake API

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

Insert Multiple Rows with Snowflake API on New Webhook Event (Instant) from SavvyCal API
SavvyCal + Snowflake
 
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Insert Single Row with Snowflake API on New Webhook Event (Instant) from SavvyCal API
SavvyCal + Snowflake
 
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New Webhook Event (Instant) from the SavvyCal API

Emit new event when a new webhook event occurs. Please add this Source URL as one of your webhook in SavvyCal Integration > Webhooks.

 
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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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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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Failed Task in Schema from the Snowflake API

Emit new events when a task fails in a database schema

 
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New Database from the Snowflake API

Emit new event when a database is created

 
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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 SavvyCal

SavvyCal makes scheduling meetings less of a hassle with personalized links and overlaying of calendars to find optimal meeting times. The SavvyCal API allows for the automated creation and management of scheduling links, the coordination of calendars, and the customization of scheduling parameters. Within Pipedream, you can integrate SavvyCal with various other apps to streamline your scheduling processes. This means you can automatically create meetings based on triggers from other apps, sync schedules across platforms, or send notifications when new meetings are scheduled.

Connect SavvyCal

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    savvycal: {
      type: "app",
      app: "savvycal",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.savvycal.com/v1/me`,
      headers: {
        Authorization: `Bearer ${this.savvycal.$auth.oauth_access_token}`,
        "Accept": `application/json`,
      },
    })
  },
})

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

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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
  },
})