Adalo

No code app development platform

Integrate the Adalo API with the Snowflake API

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

Create Record with Adalo API on New Row from Snowflake API
Snowflake + Adalo
 
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Get Records with Adalo API on New Row from Snowflake API
Snowflake + Adalo
 
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Update Record with Adalo API on New Row from Snowflake API
Snowflake + Adalo
 
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Create Record with Adalo API on New Query Results from Snowflake API
Snowflake + Adalo
 
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Get Records with Adalo API on New Query Results from Snowflake API
Snowflake + Adalo
 
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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 Record from the Adalo API

Emit new event when is created a record.

 
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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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Create Record with the Adalo API

Create a new record. See docs here

 
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Get Records with the Adalo API

Get all records from a collection. See docs here

 
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Update Record with the Adalo API

Update a record. See docs here

 
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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 Adalo

The Adalo API allows for the creation and manipulation of database records in your Adalo apps. Automating workflows with Pipedream can enhance your Adalo app's functionality, trigger custom actions based on app events, sync data across platforms, or notify users and team members about important updates. By leveraging Pipedream's ability to connect with hundreds of other apps, you can create sophisticated, multi-step workflows that respond dynamically to your Adalo app's data and events.

Connect Adalo

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    adalo: {
      type: "app",
      app: "adalo",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.adalo.com/v0/apps/[APP_ID]/collections/[COLLECTION_ID]`,
      headers: {
        Authorization: `Bearer ${this.adalo.$auth.api_key}`,
        "Content-Type": `application/json`,
      },
    })
  },
})

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
  },
})