Integrate the Snappy API with the Snowflake API

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

Popular Ways to Connect Snappy with Snowflake#

Create Wall Post with Snappy API on New Row from Snowflake API

Snowflake + Snappy

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Create Wall Post with Snappy API on New Query Results from Snowflake API

Snowflake + Snappy

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Create Wall Post with Snappy API on Failed Task in Schema from Snowflake API

Snowflake + Snappy

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Create Wall Post with Snappy API on New Database from Snowflake API

Snowflake + Snappy

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Create Wall Post with Snappy API on New Deleted Role from Snowflake API

Snowflake + Snappy

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Popular Snappy and Snowflake Triggers#

New Row from the Snowflake API

Emit new event when a row is added to a table

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New Ticket Assigned To Me from the Snappy API

Emit new event when a new ticket is assigned to me.

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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 Ticket Create from the Snappy API

Emit new event on each ticket created.

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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 Snappy and Snowflake Actions#

Create Wall Post with the Snappy API

Creates a wall post. See docs here

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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 Snappy#

Snappy API enables interaction with Snappy, a customer support tool designed to streamline communication and enhance support team efficiency. By leveraging the Snappy API on Pipedream, you can automate ticket management, organize customer inquiries, and orchestrate seamless communication between support staff and customers. With Pipedream's ability to connect to countless services, you can create workflows that react to events in real-time, sync data across platforms, and personalize customer interactions, all in a serverless environment.

Connect Snappy#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    snappy: {
      type: "app",
      app: "snappy",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.besnappy.com/api/v1/accounts`,
      auth: {
        username: `${this.snappy.$auth.api_key}`,
        password: ``,
      },
    })
  },
})

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
  },
})