Integrate the Fullstory API with the Snowflake API

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

Popular Ways to Connect Fullstory with Snowflake#

Insert Multiple Rows with Snowflake API on New Custom Event from Fullstory API

Fullstory + Snowflake

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Insert Multiple Rows with Snowflake API on New Event from Fullstory API

Fullstory + Snowflake

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Insert Multiple Rows with Snowflake API on New Native Mobile Crash Event from Fullstory API

Fullstory + Snowflake

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Insert Multiple Rows with Snowflake API on New Note Created Event from Fullstory API

Fullstory + Snowflake

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Insert Multiple Rows with Snowflake API on New Segment Treshold Alert Event from Fullstory API

Fullstory + Snowflake

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Popular Fullstory and Snowflake Triggers#

New Custom Event from the Fullstory API

Emit new events when custom events occur. See the docs here

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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 Event from the Fullstory API

Emit new events when configured events occur. See the 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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New Native Mobile Crash Event from the Fullstory API

Emit new events when native mobile crash events occur. See the docs here

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Popular Fullstory 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 Fullstory#

The Fullstory API unlocks a treasure trove of user session data, enabling developers to automate deep insights into customer experiences on their digital platforms. Leveraging this API on Pipedream allows you to craft custom workflows that respond to specific user interactions, seamlessly integrate session insights with other tools, and trigger actions based on user behavior metrics. It's a boon for teams aiming to enhance user experience, address pain points, and bolster conversion rates.

Connect Fullstory#

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