BitBucket
Bitbucket Cloud is a Git-based code and CI/CD tool optimized for teams using Jira.
Integrate the BitBucket API with the Snowflake API
Setup the BitBucket API trigger to run a workflow which integrates with the Snowflake API. Pipedream's integration platform allows you to integrate BitBucket and Snowflake remarkably fast. Free for developers.
Popular BitBucket and Snowflake Triggers#
Emit new event when a new commit is pushed to a branch. See docs here
Emit new event when a new pull request is created in a repository. See docs here
Run a SQL query on a schedule, triggering a workflow for each row of results
Overview of BitBucket#
The BitBucket API taps the potential of BitBucket's Git-based version control system, enabling you to automate workflows around code commits, pull requests, and overall repository management. With this API, you can streamline the collaboration process, enforce coding standards, or integrate with other tools to create a cohesive development ecosystem. Pipedream, as a serverless integration and compute platform, provides a seamless environment to connect BitBucket with various apps and services, enabling you to harness its API for efficient, customized automations.
Connect BitBucket#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
bitbucket: {
type: "app",
app: "bitbucket",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.bitbucket.org/2.0/user`,
headers: {
Authorization: `Bearer ${this.bitbucket.$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#
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
},
})