Integrate the GTmetrix API with the Snowflake API

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

Popular Ways to Connect GTmetrix with Snowflake#

Get Performance Report with GTmetrix API on New Row from Snowflake API

Snowflake + GTmetrix

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Run Performance Test with GTmetrix API on New Row from Snowflake API

Snowflake + GTmetrix

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Get Performance Report with GTmetrix API on New Query Results from Snowflake API

Snowflake + GTmetrix

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Run Performance Test with GTmetrix API on New Query Results from Snowflake API

Snowflake + GTmetrix

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Get Performance Report with GTmetrix API on Failed Task in Schema from Snowflake API

Snowflake + GTmetrix

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Popular GTmetrix 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 Test Completed from the GTmetrix API

Emit new event when a test is completed in GTMetrix. See the documentation

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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 GTmetrix and Snowflake Actions#

Get Performance Report with the GTmetrix API

Fetches the most recent performance report for a particular page from GTmetrix. See the documentation

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Run Performance Test with the GTmetrix API

Run a performance test on a specified URL using GTmetrix. 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 GTmetrix#

The GTmetrix API provides an interface to test the loading speed of your website, offering insights into performance issues and potential optimizations. By integrating this API with Pipedream, you can automate performance monitoring, receive alerts, and combine data with other services for in-depth analysis. For instance, you could trigger a performance report after a site update, log results to a spreadsheet for tracking, or compare your metrics against industry standards.

Connect GTmetrix#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    gtmetrix: {
      type: "app",
      app: "gtmetrix",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://gtmetrix.com/api/2.0/status`,
      auth: {
        username: `${this.gtmetrix.$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
  },
})