Integrate the PayTrace API with the Snowflake API

This method can be used to export a summary of specific batch details or currently pending settlement details by card and transaction type. If no optional parameter is provided, the latest batch details will be returned. See docs here

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List Batch Transactions with the PayTrace API

This method can be used to export settled transaction details within a specific batch. This method will return one or more transaction records. See docs here

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List Batches by Date Range with the PayTrace API

This method can be used to export a set of batch summary details with a provided date range. This method will return one or more batch summary records. See docs here

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List Transactions with the PayTrace API

This method can be used to export a set of credit card transaction details with a provided date range. You can optimize your search by providing optional parameters. See docs here

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Insert Multiple Rows with the Snowflake API

Insert multiple rows into a table

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Overview of PayTrace#

The PayTrace API offers a robust suite of payment processing tools for developers aiming to build seamless payment integrations. With it, you can automate credit card transactions, manage customer profiles, and generate detailed reports, among other functionalities. Leveraging the PayTrace API on Pipedream allows you to create workflows that interact with other services like CRMs, accounting software, and ecommerce platforms, facilitating tasks like sales automation, financial reconciliation, and data synchronization.

Connect PayTrace#

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