Confluence

Get, create, update, and delete content, spaces, and more.

Integrate the Confluence API with the Snowflake API

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

Create Post with Confluence API on New Row from Snowflake API
Snowflake + Confluence
 
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Delete Post with Confluence API on New Row from Snowflake API
Snowflake + Confluence
 
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Update a Post with Confluence API on New Row from Snowflake API
Snowflake + Confluence
 
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Create Post with Confluence API on New Query Results from Snowflake API
Snowflake + Confluence
 
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Delete Post with Confluence API on New Query Results from Snowflake API
Snowflake + Confluence
 
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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 Page or Blog Post from the Confluence API

Emit new event whenever a new page or blog post is created in a specified space

 
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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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Watch Blog Posts from the Confluence API

Emit new event when a blog post is created or updated

 
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Create Post with the Confluence API

Creates a new page or blog post on Confluence. See the documentation

 
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Delete Post with the Confluence API

Removes a blog post from Confluence by its ID. Use with caution, the action is irreversible. See the documentation

 
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Update a Post with the Confluence API

Updates a page or blog post on Confluence by its ID. 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 Confluence

The Confluence API allows you to harness the collaborative power of Confluence programmatically. With it, you can automate content creation, update pages, manage spaces, and extract data for reporting or integration with other tools. Leveraging this API within Pipedream enables streamlined workflows that can react to events or schedule tasks, interacting with Confluence data and connecting to an array of other apps and services.

Connect Confluence

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

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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
  },
})