Integrate the Shadertoy API with the Snowflake API

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

Popular Ways to Connect Shadertoy with Snowflake#

Access Shader Assets with Shadertoy API on New Row from Snowflake API

Snowflake + Shadertoy

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Get Shader with Shadertoy API on New Row from Snowflake API

Snowflake + Shadertoy

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List Shaders with Shadertoy API on New Row from Snowflake API

Snowflake + Shadertoy

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Search Shaders with Shadertoy API on New Row from Snowflake API

Snowflake + Shadertoy

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Access Shader Assets with Shadertoy API on New Query Results from Snowflake API

Snowflake + Shadertoy

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Popular Shadertoy 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 Shadertoy and Snowflake Actions#

Access Shader Assets with the Shadertoy API

Accesses an asset from source. See the documentation

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Get Shader with the Shadertoy API

Returns a specific shader based on an ID. See the documentation

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List Shaders with the Shadertoy API

Returns a list of all shaders. See the documentation

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Search Shaders with the Shadertoy API

Returns an array of shader IDs based on the query string. See the documentation

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Insert Multiple Rows with the Snowflake API

Insert multiple rows into a table

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Overview of Shadertoy#

The Shadertoy API opens a window to a universe of visual creations by providing programmatic access to a wealth of shaders created by the Shadertoy community. These shaders are snippets of GLSL code that produce stunning graphics and visual effects. In Pipedream, you can leverage this API to trigger workflows that interact with these shaders, such as retrieving shader information, displaying shader visuals, or even monitoring the latest creations. By combining Shadertoy API with Pipedream's capability to connect to numerous other services, your creative and technical projects can flourish with dynamic, visually rich content.

Connect Shadertoy#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    shadertoy: {
      type: "app",
      app: "shadertoy",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: ` https://www.shadertoy.com/api/v1/shaders/query/test`,
      params: {
        key: `${this.shadertoy.$auth.app_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
  },
})