Integrate the Timeular API with the Snowflake API

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

Popular Ways to Connect Timeular with Snowflake#

Create Activity with Timeular API on New Row from Snowflake API

Snowflake + Timeular

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Create Tag with Timeular API on New Row from Snowflake API

Snowflake + Timeular

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

Snowflake + Timeular

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Create Activity with Timeular API on New Query Results from Snowflake API

Snowflake + Timeular

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Create Tag with Timeular API on New Query Results from Snowflake API

Snowflake + Timeular

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Popular Timeular 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 Time Entry Created (Instant) from the Timeular API

Emit new event when a time entry is created.

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New Time Entry Updated (Instant) from the Timeular API

Emit new event when a time entry is updated.

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Popular Timeular and Snowflake Actions#

Create Activity with the Timeular API

Creates a new activity. See the documentation

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Create Tag with the Timeular API

Creates a new tag within the given space and scope. See the documentation

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Create Time Entry with the Timeular API

Creates a new time entry. 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 Timeular#

The Timeular API lets you track, analyze, and manage your time directly, integrating your time tracking activities with other apps and automations. With Pipedream, you can harness the API to create custom workflows, such as triggering events based on time tracking data, syncing time entries with project management tools, or even automating invoicing processes based on tracked time. It's about connecting Timeular's detailed time tracking capabilities with other services to streamline productivity and reporting.

Connect Timeular#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    timeular: {
      type: "app",
      app: "timeular",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.timeular.com/api/v3/me`,
      headers: {
        Authorization: `Bearer ${this.timeular.$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
  },
})