Orca Scan

Build a barcode system without code.

Integrate the Orca Scan API with the Snowflake API

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

Add or Update Row with Orca Scan API on New Row from Snowflake API
Snowflake + Orca Scan
 
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Find Row with Orca Scan API on New Row from Snowflake API
Snowflake + Orca Scan
 
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Add or Update Row with Orca Scan API on New Query Results from Snowflake API
Snowflake + Orca Scan
 
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Find Row with Orca Scan API on New Query Results from Snowflake API
Snowflake + Orca Scan
 
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Add or Update Row with Orca Scan API on Failed Task in Schema from Snowflake API
Snowflake + Orca Scan
 
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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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New Row in Orca Scan Sheet from the Orca Scan API

Emit new event when a new row is created in an Orca Scan sheet. See the documentation

 
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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 Sheet Created from the Orca Scan API

Emit new event when a new sheet is created in Orca Scan. See the documentation

 
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Add or Update Row with the Orca Scan API

Adds a new row or updates an existing row in a sheet. See the documentation

 
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Find Row with the Orca Scan API

Locates a row record based on a given barcode. If no barcode is provided, return all rows. 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 Orca Scan

The Orca Scan API is a gateway to integrate barcode scanning and inventory management capabilities into various workflows. By leveraging the API, you can automate data collection, streamline inventory tracking, and sync your barcode scanning data with other systems. When used on Pipedream, you can merge Orca Scan functionalities with countless other apps, creating custom automation rules, processing data, and managing inventory in real-time. Ideal for inventory management, asset tracking, and data collection automation, the Orca Scan API is a tool that can adapt to a myriad of business needs.

Connect Orca Scan

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    orca_scan: {
      type: "app",
      app: "orca_scan",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.orcascan.com/v1/sheets`,
      headers: {
        Authorization: `Bearer ${this.orca_scan.$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

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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
  },
})