Integrate the Textlocal API with the Snowflake API

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

Popular Ways to Connect Textlocal with Snowflake#

Create Contact with Textlocal API on New Row from Snowflake API

Snowflake + Textlocal

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Send SMS with Textlocal API on New Row from Snowflake API

Snowflake + Textlocal

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Create Contact with Textlocal API on New Query Results from Snowflake API

Snowflake + Textlocal

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Send SMS with Textlocal API on New Query Results from Snowflake API

Snowflake + Textlocal

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Create Contact with Textlocal API on Failed Task in Schema from Snowflake API

Snowflake + Textlocal

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Popular Textlocal 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 Contact from the Textlocal API

Emit new contact

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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 Inbox Message from the Textlocal API

Emit new inbox message.

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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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Popular Textlocal and Snowflake Actions#

Create Contact with the Textlocal API

Create a new contact. 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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Send SMS with the Textlocal API

This Action can be used to send text messages to either individual numbers or entire contact groups. See the docs here Note: While both numbers and group_id are optional parameters, one or the other must be included in the request for the message to be sent.

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Insert Single Row with the Snowflake API

Insert a row into a table

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Overview of Textlocal#

The Textlocal API on Pipedream allows for robust SMS messaging capabilities within workflows. You can send notifications, alerts, and updates directly to mobile users, automate marketing campaigns, or integrate SMS into multi-channel communication strategies. By leveraging Pipedream's serverless platform, you can create complex workflows involving Textlocal for various application domains without managing infrastructure, boosting productivity and engagement through the power of automated text messaging.

Connect Textlocal#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    textlocal: {
      type: "app",
      app: "textlocal",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.txtlocal.com/balance`,
      params: {
        apiKey: `${this.textlocal.$auth.api_key}`,
      },
    })
  },
})

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
  },
})