Cloud Convert

File converter service

Integrate the Cloud Convert API with the Snowflake API

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

Convert File with Cloud Convert API on New Row from Snowflake API
Snowflake + Cloud Convert
 
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Create Archive with Cloud Convert API on New Row from Snowflake API
Snowflake + Cloud Convert
 
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Create Import URL Task with Cloud Convert API on New Row from Snowflake API
Snowflake + Cloud Convert
 
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Create Merge Files To PDF Job with Cloud Convert API on New Row from Snowflake API
Snowflake + Cloud Convert
 
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Get Task with Cloud Convert API on New Row from Snowflake API
Snowflake + Cloud Convert
 
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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 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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Job Failed (Instant) from the Cloud Convert API

Emit new event when a CloudConvert job has failed. See the documentation

 
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New Database from the Snowflake API

Emit new event when a database is created

 
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Convert File with the Cloud Convert API

Converts an input file to a specified output format using CloudConvert. See the documentation

 
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Create Archive with the Cloud Convert API

Creates an archive in a specified format. See the documentation

 
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Create Import URL Task with the Cloud Convert API

Creates a task to import a file from a URL. See the documentation

 
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Create Merge Files To PDF Job with the Cloud Convert API

Combines multiple input files into a single PDF file and create an export URL with a job. 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 Cloud Convert

The Cloud Convert API offers a robust solution for file conversion, supporting a vast array of file formats. With Pipedream, you can harness this versatility to create automated workflows that trigger file conversions, process the resulting files, and integrate with other services. By combining Cloud Convert with Pipedream's connectivity to hundreds of apps, you can craft custom automation that saves time and removes the friction from multi-format file management tasks.

Connect Cloud Convert

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    cloud_convert: {
      type: "app",
      app: "cloud_convert",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.cloudconvert.com/v2/users/me`,
      headers: {
        Authorization: `Bearer ${this.cloud_convert.$auth.oauth_access_token}`,
      },
    })
  },
})

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

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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
  },
})