Integrate the Timing API with the Snowflake API

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

Popular Ways to Connect Timing with Snowflake#

Create Time Entry with Timing API on New Row from Snowflake API

Snowflake + Timing

Try it

Start Timer with Timing API on New Row from Snowflake API

Snowflake + Timing

Try it

Stop Timer with Timing API on New Row from Snowflake API

Snowflake + Timing

Try it

Create Time Entry with Timing API on New Query Results from Snowflake API

Snowflake + Timing

Try it

Start Timer with Timing API on New Query Results from Snowflake API

Snowflake + Timing

Try it

Popular Timing and Snowflake Triggers#

New Row from the Snowflake API

Emit new event when a row is added to a table

Try it

New Project Created from the Timing API

Emit new event each time a new project is created

Try it

New Query Results from the Snowflake API

Run a SQL query on a schedule, triggering a workflow for each row of results

Try it

New Time Entry from the Timing API

Emit new event each time a new time entry is created in Timing

Try it

Failed Task in Schema from the Snowflake API

Emit new events when a task fails in a database schema

Try it

Popular Timing and Snowflake Actions#

Create Time Entry with the Timing API

Generates a new time entry in Timing app. See the documentation

Try it

Insert Multiple Rows with the Snowflake API

Insert multiple rows into a table

Try it

Start Timer with the Timing API

Starts a new ongoing timer as per the current timestamp or specified start date. See the documentation

Try it

Insert Single Row with the Snowflake API

Insert a row into a table

Try it

Stop Timer with the Timing API

Stop the currently running timer. See the documentation

Try it

Overview of Timing#

The Timing app provides detailed time tracking capabilities, enabling users to automatically log time spent on various tasks and improve productivity. Using Pipedream’s integration, one could build workflows that trigger when new time entries are created, sync time data with other project management tools, or compile reports for invoicing and accountability. It's all about harnessing the power of automated time tracking to streamline processes.

Connect Timing#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    timing: {
      type: "app",
      app: "timing",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://web.timingapp.com/api/v1/projects`,
      headers: {
        Authorization: `Bearer ${this.timing.$auth.api_key}`,
        "Accept": `application/json`,
      },
    })
  },
})

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
  },
})