Integrate the Teamwork API with the Snowflake API

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

Popular Ways to Connect Teamwork with Snowflake#

Create Task with Teamwork API on New Row from Snowflake API

Snowflake + Teamwork

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Delete Task with Teamwork API on New Row from Snowflake API

Snowflake + Teamwork

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List Project Tasks with Teamwork API on New Row from Snowflake API

Snowflake + Teamwork

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Update Task with Teamwork API on New Row from Snowflake API

Snowflake + Teamwork

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Create Task with Teamwork API on New Query Results from Snowflake API

Snowflake + Teamwork

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Popular Teamwork 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 Task from the Teamwork API

Emit new event when a new task is created

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New Task Deleted from the Teamwork API

Emit new event when a new task is deleted

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Popular Teamwork and Snowflake Actions#

Create Task with the Teamwork API

Create a new task in the backlog. See the docs here

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Delete Task with the Teamwork API

Delete a task. See the docs here

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List Project Tasks with the Teamwork API

List tasks from a project. See the docs here

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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 Teamwork#

The Teamwork API taps into the power of project management, letting you streamline workflows by automating tasks like creating projects, assigning tasks, tracking time, or updating statuses. With Pipedream, you can effortlessly integrate these capabilities with hundreds of other apps to create custom automations that fit your team's needs, enhancing productivity and ensuring that your projects are always moving forward with the latest information.

Connect Teamwork#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    teamwork: {
      type: "app",
      app: "teamwork",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `${this.teamwork.$auth.domain}/me.json`,
      headers: {
        Authorization: `Bearer ${this.teamwork.$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#

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
  },
})