Rockset
Rockset is a serverless search and analytics engine that allows you to create live dashboards and real-time data APIs on DynamoDB, Kafka, S3 and more.
Integrate the Rockset API with the Snowflake API
Setup the Rockset API trigger to run a workflow which integrates with the Snowflake API. Pipedream's integration platform allows you to integrate Rockset and Snowflake remarkably fast. Free for developers.
Popular Rockset and Snowflake Triggers#
Popular Rockset and Snowflake Actions#
Add documents to a collection in Rockset. Learn more at https://docs.rockset.com/rest/#adddocuments.
Create a new integration with Rockset. Learn more at https://docs.rockset.com/rest/#createintegration
Overview of Rockset#
Rockset is a real-time indexing database service designed for low-latency, high-concurrency analytics. With the Rockset API, you can query your datasets, create and manage collections, and integrate with event streams for real-time analytics. Using Pipedream's serverless platform, you can automate workflows that react to database events, sync data across services, or trigger actions based on analytical insights.
Connect Rockset#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
rockset: {
type: "app",
app: "rockset",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.rs2.usw2.rockset.com/v1/orgs/self/users/self`,
headers: {
"Authorization": `ApiKey ${this.rockset.$auth.apikey}`,
},
})
},
})
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
},
})