DaySchedule

A single app to create personalized scheduling pages for the public to book a meeting with you.

Integrate the DaySchedule API with the Snowflake API

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

Create Event with DaySchedule API on New Row from Snowflake API
Snowflake + DaySchedule
 
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Delete Event with DaySchedule API on New Row from Snowflake API
Snowflake + DaySchedule
 
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Update Event with DaySchedule API on New Row from Snowflake API
Snowflake + DaySchedule
 
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Create Event with DaySchedule API on New Query Results from Snowflake API
Snowflake + DaySchedule
 
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Delete Event with DaySchedule API on New Query Results from Snowflake API
Snowflake + DaySchedule
 
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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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New Event Scheduled from the DaySchedule API

Emit new event when a new event is added to the schedule.

 
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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 Event Updated from the DaySchedule API

Emit new event when an event is updated in the schedule.

 
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Create Event with the DaySchedule API

Add a new event to the DaySchedule. See the documentation

 
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Delete Event with the DaySchedule API

Remove an existing event from the DaySchedule. See the documentation

 
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Insert Multiple Rows with the Snowflake API

Insert multiple rows into a table

 
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Update Event with the DaySchedule API

Modify an existing event in the DaySchedule. See the documentation

 
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Insert Single Row with the Snowflake API

Insert a row into a table

 
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Overview of DaySchedule

The DaySchedule API enables the automation of appointment scheduling tasks, allowing users to create, update, and manage appointments efficiently. With Pipedream, you can harness this API to integrate with various services, triggering workflows based on events like new bookings or cancellations. You can orchestrate data flows between DaySchedule and other apps you use for CRM, email marketing, customer support, or internal communication, streamlining the process of managing your calendar and client interactions.

Connect DaySchedule

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

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
  },
})