Dropmark
An app to organize all your links, files, and notes into visual collections.
Integrate the Dropmark API with the Snowflake API
Setup the Dropmark API trigger to run a workflow which integrates with the Snowflake API. Pipedream's integration platform allows you to integrate Dropmark and Snowflake remarkably fast. Free for developers.
Popular Ways to Connect Dropmark with Snowflake#
Popular Dropmark and Snowflake Triggers#
Run a SQL query on a schedule, triggering a workflow for each row of results
Emit new event when a new collection, item, comment, or reaction occurs. See the documentation
Emit new event when a new item is added to a collection in Dropmark. See the documentation
Popular Dropmark and Snowflake Actions#
Retrieves a blended feed of newly created collections, items, comments, and reactions. See the documentation
Retrieves a list of items in a specific collection. See the documentation
Overview of Dropmark#
The Dropmark API enables you to interact programmatically with the Dropmark service, allowing you to create, update, and manage collections and items within those collections. With Pipedream, you can leverage this API to automate workflows that connect Dropmark with other services, process content, and respond to events. For instance, you could automate the organization of resources, sync content across platforms, or even curate collaborative collections effortlessly.
Connect Dropmark#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
dropmark: {
type: "app",
app: "dropmark",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.dropmark.com/v1/users/me/`,
headers: {
"X-API-Key": `${this.dropmark.$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#
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
},
})