Integrate the Goody API with the Snowflake API

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

Popular Ways to Connect Goody with Snowflake#

Create Order with Goody API on New Row from Snowflake API

Snowflake + Goody

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Retrieve Orders For Order Batch with Goody API on New Row from Snowflake API

Snowflake + Goody

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Create Order with Goody API on New Query Results from Snowflake API

Snowflake + Goody

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Retrieve Orders For Order Batch with Goody API on New Query Results from Snowflake API

Snowflake + Goody

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Create Order with Goody API on Failed Task in Schema from Snowflake API

Snowflake + Goody

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Popular Goody 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 Order Created from the Goody API

Emit new event when a new order is created in Goody.

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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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Order Delivered from the Goody API

Emit new event when an order is delivered in Goody.

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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 Goody and Snowflake Actions#

Create Order with the Goody API

Creates a new order in Goody. See the documentation

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Retrieve Orders For Order Batch with the Goody API

Retrieves orders for an order batch in Goody. See the documentation

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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 Goody#

The Goody API allows for the creation of digital rewards and incentives, facilitating the sending of gift cards and other perks electronically. In Pipedream, you can harness this API to automate the distribution of rewards, integrate with CRM systems, or track and analyze the impact of your rewards program. By leveraging Pipedream’s capability to connect with numerous other platforms, you can create multifaceted workflows that trigger based on various events or conditions.

Connect Goody#

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

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
  },
})