Zoho WorkDrive

Online file management for teams

Integrate the Zoho WorkDrive API with the Snowflake API

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

Download File to Tmp Direcory with Zoho WorkDrive API on New Row from Snowflake API
Snowflake + Zoho WorkDrive
 
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Upload File with Zoho WorkDrive API on New Row from Snowflake API
Snowflake + Zoho WorkDrive
 
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Download File to Tmp Direcory with Zoho WorkDrive API on New Query Results from Snowflake API
Snowflake + Zoho WorkDrive
 
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Upload File with Zoho WorkDrive API on New Query Results from Snowflake API
Snowflake + Zoho WorkDrive
 
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Download File to Tmp Direcory with Zoho WorkDrive API on Failed Task in Schema from Snowflake API
Snowflake + Zoho WorkDrive
 
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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 File In Folder from the Zoho WorkDrive API

Emit new event when a new file is created in a specific folder.

 
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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 Folder from the Zoho WorkDrive API

Emit new event when a new folder is created in a specific folder.

 
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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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Download File to Tmp Direcory with the Zoho WorkDrive API

Download a file to the /tmp directory. See the documentation

 
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Upload File with the Zoho WorkDrive API

Upload a new file to your WorkDrive account. 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 Zoho WorkDrive

The Zoho WorkDrive API interacts with Zoho's cloud-based file management system, enabling automated file and folder operations, team management, and content collaboration. With Pipedream, you can harness this API to create workflows that trigger on specific events, manipulate files and folders, and integrate with other services for a seamless productivity boost.

Connect Zoho WorkDrive

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    zoho_workdrive: {
      type: "app",
      app: "zoho_workdrive",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://workdrive.${this.zoho_workdrive.$auth.base_api_uri}/api/v1/users/me`,
      headers: {
        Authorization: `Bearer ${this.zoho_workdrive.$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
  },
})