A data warehouse built for the cloud
Run a SQL query on a schedule, triggering a workflow for each row of results
Emit new event when a file is deleted from a DigitalOcean Spaces bucket
Emit new event when a file is uploaded to a DigitalOcean Spaces bucket
Accepts a file path starting from /tmp, then uploads as a file to DigitalOcean Spaces. See the docs.
Snowflake offers a cloud database and related tools to help developers create robust, secure, and scalable data warehouses. See Snowflake's Key Concepts & Architecture.
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.
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.
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.
import snowflake from '@pipedream/snowflake';
export default defineComponent({
props: {
snowflake,
},
async run({ $ }) {
// Component source code:
// https://github.com/PipedreamHQ/pipedream/tree/master/components/snowflake
return this.snowflake.executeQuery({
sqlText: `SELECT CURRENT_TIMESTAMP()`,
binds: [],
});
},
});
DigitalOcean Spaces API permits you to manage object storage, allowing for the storage and serving of massive amounts of data. This API is great for backing up, archiving, and providing public access to data or assets. On Pipedream, you can use this API to automate file operations like uploads, downloads, and deletions, as well as manage permissions and metadata. You can integrate it with other services for end-to-end workflow automation.
import { S3 } from "@aws-sdk/client-s3";
import { ListBucketsCommand } from "@aws-sdk/client-s3";
export default defineComponent({
props: {
digitalocean_spaces: {
type: "app",
app: "digitalocean_spaces"
}
},
async run({ steps, $ }) {
console.log(this.digitalocean_spaces.$auth)
const s3Client = new S3({
forcePathStyle: false, // Configures to use subdomain/virtual calling format.
endpoint: `https://${this.digitalocean_spaces.$auth.region}.digitaloceanspaces.com`,
region: "us-east-1",
credentials: {
accessKeyId: this.digitalocean_spaces.$auth.key,
secretAccessKey: this.digitalocean_spaces.$auth.secret
}
});
const data = await s3Client.send(new ListBucketsCommand({}));
return data.Buckets;
},
})