Range

The place for remote & hybrid teams to check in with each other

Integrate the Range API with the Snowflake API

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

Find User with Range API on New Row from Snowflake API
Snowflake + Range
 
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Find User with Range API on New Query Results from Snowflake API
Snowflake + Range
 
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Find User with Range API on Failed Task in Schema from Snowflake API
Snowflake + Range
 
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Find User with Range API on New Database from Snowflake API
Snowflake + Range
 
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Find User with Range API on New Deleted Role from Snowflake API
Snowflake + Range
 
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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 Check-In By Teammate Created from the Range API

Emit new event when a new check-in by teammate is created. See the docs.

 
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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 Check-In Created from the Range API

Emit new event when a new check-in is created. See the docs.

 
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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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Find User with the Range API

Finds a user by email address. See the docs.

 
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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 Range

The Range API provides a platform for managing print shop operations, including job status tracking, quoting, invoicing, and scheduling. Leveraging Pipedream, users can automate workflows between Range and other apps, creating a seamless integration that boosts productivity. Whether it's syncing order details with a CRM, triggering notifications based on job status updates, or automating invoice creation, Pipedream acts as a conduit for connecting Range's print shop management capabilities with a myriad of other services.

Connect Range

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    range: {
      type: "app",
      app: "range",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.range.co/v1/users/auth-user`,
      headers: {
        Authorization: `Bearer ${this.range.$auth.oauth_access_token}`,
        "X-Range-App-ID": `AA0BFrfWOpGg8rTpgQAB`,
        "X-Range-Client": `pipedream/1`,
      },
    })
  },
})

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
  },
})