Integrate the Heap API with the Snowflake API

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

Popular Heap 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 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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New Deleted Role from the Snowflake API

Emit new event when a role is deleted

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Popular Heap 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 Heap#

The Heap API enables you to automate and integrate your user analytics data with other applications. With Heap, you can extract insights on how users interact with your product, track events without code, and funnel this data into your CRM, marketing tools, or custom dashboards. It's about connecting the dots between user actions and your strategic moves. Heap's API lets you push or pull data, so you're always up-to-date on user behavior and can personalize user experiences at scale.

Connect Heap#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    heap: {
      type: "app",
      app: "heap",
    }
  },
  async run({steps, $}) {
    // From the docs: https://docs.heap.io/reference#track-1
    // "Requests are limited to 30 requests per 30 seconds per identity per app_id"
    return await axios($, {
      method: "POST",
      url: `https://heapanalytics.com/api/track`,
      headers: {
        "Content-Type": "application/json",
      },
      data: {
        app_id: this.heap.$auth.app_id,
        identity: params.identity,
        event: params.event,
        timestamp: params.timestamp || (new Date()).toISOString(),
        properties: params.properties,
      }
    })
  },
})

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
  },
})