Integrate the Spondyr API with the Snowflake API

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

Popular Ways to Connect Spondyr with Snowflake#

Create Spondyr with Spondyr API on New Row from Snowflake API

Snowflake + Spondyr

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Create Spondyr with Spondyr API on New Query Results from Snowflake API

Snowflake + Spondyr

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Create Spondyr with Spondyr API on Failed Task in Schema from Snowflake API

Snowflake + Spondyr

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Create Spondyr with Spondyr API on New Database from Snowflake API

Snowflake + Spondyr

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Create Spondyr with Spondyr API on New Deleted Role from Snowflake API

Snowflake + Spondyr

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Popular Spondyr 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 Spondyr Processed from the Spondyr API

Emit new event when a spondyr is processed. See docs here

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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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Popular Spondyr and Snowflake Actions#

Create Spondyr with the Spondyr API

Generate and optionally deliver correspondence. See the 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 Spondyr#

The Spondyr API, known as MailboxValidator, is a tool designed to clean and verify email lists, ensuring that businesses can keep their email marketing databases free of invalid, inactive, or disposable email addresses. By integrating Spondyr with Pipedream, you can automate the process of maintaining a high-quality email list, triggering email validation workflows, and integrating with other services to enhance user management, campaign effectiveness, and overall data hygiene.

Connect Spondyr#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    spondyr: {
      type: "app",
      app: "spondyr",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://client.spondyr.io/api/v1.0.0/TransactionTypes`,
      params: {
        APIKey: `${this.spondyr.$auth.api_key}`,
        ApplicationToken: `${this.spondyr.$auth.app_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#

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
  },
})