Integrate the Nifty API with the Snowflake API

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

Popular Ways to Connect Nifty with Snowflake#

Assign Task to Team Member with Nifty API on New Row from Snowflake API

Snowflake + Nifty

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Create Message with Nifty API on New Row from Snowflake API

Snowflake + Nifty

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Create Project with Nifty API on New Row from Snowflake API

Snowflake + Nifty

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Assign Task to Team Member with Nifty API on New Query Results from Snowflake API

Snowflake + Nifty

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Create Message with Nifty API on New Query Results from Snowflake API

Snowflake + Nifty

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Popular Nifty 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 Message Posted from the Nifty API

Emit new event when a new message is posted in a team's discussion.

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New Task Created from the Nifty API

Emit new event when a task is created in a project.

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Popular Nifty and Snowflake Actions#

Assign Task to Team Member with the Nifty API

Assigns a specific task to a team member in Nifty. See the documentation

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Create Message with the Nifty API

Sends a new message in a team's discussion. See the documentation

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Create Project with the Nifty API

Creates a new project in a designated portfolio. 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 Nifty#

The Nifty API allows for streamlined project management, facilitating task automation and data synchronization within Pipedream. By integrating with the Nifty API, you can automate workflows involving project tracking, task assignments, and progress monitoring, effectively reducing manual overhead. On Pipedream, the API's endpoints can trigger actions, respond to changes, and update records across different services, bringing cohesion to your project management ecosystem.

Connect Nifty#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    nifty: {
      type: "app",
      app: "nifty",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://openapi.niftypm.com/api/v2.0/users/me`,
      headers: {
        Authorization: `Bearer ${this.nifty.$auth.oauth_access_token}`,
        "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
  },
})