Snowflake

A data warehouse built for the cloud

Integrate the Snowflake API with the Amazon SES API

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

Create Email Template with Amazon SES API on New Row from Snowflake API
Snowflake + Amazon SES
 
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Get Email Template with Amazon SES API on New Row from Snowflake API
Snowflake + Amazon SES
 
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Send Email with Amazon SES API on New Row from Snowflake API
Snowflake + Amazon SES
 
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Send Templated Email with Amazon SES API on New Row from Snowflake API
Snowflake + Amazon SES
 
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Update Email Template with Amazon SES API on New Row from Snowflake API
Snowflake + Amazon SES
 
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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 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 Database from the Snowflake API

Emit new event when a database is created

 
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New Deleted Role from the Snowflake API

Emit new event when a role is deleted

 
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Create Email Template with the Amazon SES API

Create a HTML or a plain text email template. See the docs

 
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Get Email Template with the Amazon SES API

Get an email template. See the docs

 
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Send Email with the Amazon SES API

Send an email using Amazon SES. Supports simple email messaging. See the docs

 
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Insert Multiple Rows with the Snowflake API

Insert multiple rows into a table

 
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Send Templated Email with the Amazon SES API

Send an email replacing the template tags with values using Amazon SES. See the docs

 
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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
  },
})

Overview of Amazon SES

Amazon Simple Email Service (SES) is a powerful cloud-based email sending service designed to help digital marketers and application developers send marketing, notification, and transactional emails. With the SES API, you can reliably send emails at scale, manage sender reputations, view email sending statistics, and maintain a high deliverability rate. Leveraging Pipedream's capabilities, you can integrate SES seamlessly into serverless workflows, automate email responses based on triggers from other apps, and analyze the effectiveness of your email campaigns by connecting to data analytics platforms.

Connect Amazon SES

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module.exports = defineComponent({
  props: {
    amazon_ses: {
      type: "app",
      app: "amazon_ses",
    }
  },
  async run({steps, $}) {
    const AWS = require("aws-sdk")
    const { accessKeyId, secretAccessKey } = this.amazon_ses.$auth
    
    const ses = new AWS.SES({
      accessKeyId, 
      secretAccessKey,
      region: 'us-east-1',
    })
    
    const sesParams = {
      Destination: {
        ToAddresses: ["<your email here>"],
      }, 
      Message: {
        Body: {
          Html: {
            Charset: "UTF-8", 
            Data: "<h1>This is a test</h1>",
          }, 
            Text: {
            Charset: "UTF-8", 
            Data: "This is a test",
          }
        }, 
        Subject: {
          Charset: "UTF-8", 
          Data: "Test email",
        }
      },
      Source: "<your from address here", 
    };
    
    this.resp = await ses.sendEmail(sesParams).promise()
  },
})