Integrate the Slottable API with the Snowflake API

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

Popular Ways to Connect Slottable with Snowflake#

Insert Multiple Rows with Snowflake API on Booking Contact Updated from Slottable API

Slottable + Snowflake

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Insert Multiple Rows with Snowflake API on Contact Updated from Slottable API

Slottable + Snowflake

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Insert Single Row with Snowflake API on Booking Contact Updated from Slottable API

Slottable + Snowflake

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Insert Single Row with Snowflake API on Contact Updated from Slottable API

Slottable + Snowflake

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Popular Slottable and Snowflake Triggers#

Booking Contact Updated from the Slottable API

Emit new event when a booking contact is changed (new, updated, or deleted) in Slottable.

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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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Contact Updated from the Slottable API

Emit new event when a contact is changed (new, updated, or deleted) in Slottable.

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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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Popular Slottable and Snowflake Actions#

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 Slottable#

The Slottable API provides a way to manage scheduling by creating, updating, and deleting slots related to appointments, classes, or any event that requires booking. With Pipedream's serverless platform, you can automate workflows that trigger based on actions within Slottable or external events, and then interact with the Slottable API to manage your scheduling data. This might include syncing booking information with a calendar, sending reminders or follow-up emails, or aggregating data for analytics.

Connect Slottable#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    slottable: {
      type: "app",
      app: "slottable",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://slottable.app/api/v1/token`,
      headers: {
        Authorization: `Bearer ${this.slottable.$auth.api_token}`,
        "Accept": `application/json`,
        "Content-Type": `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#

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
  },
})