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with BitBucket and Databricks?
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Popular Ways to Connect BitBucket with Databricks#
Popular BitBucket and Databricks 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
Emit new event when a new branch is created. See docs here
Emit new event when a commit receives a comment. See docs here
Emit new event when an event occurs from any repository belonging to the user. See docs here
Popular BitBucket and Databricks Actions#
Retrieve the output and metadata of a single task run. See the documentation
Run a job now and return the id of the triggered run. See the documentation
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 Databricks#
The Databricks API allows you to interact programmatically with Databricks services, enabling you to manage clusters, jobs, notebooks, and other resources within Databricks environments. Through Pipedream, you can leverage these APIs to create powerful automations and integrate with other apps for enhanced data processing, transformation, and analytics workflows. This unlocks possibilities like automating cluster management, dynamically running jobs based on external triggers, and orchestrating complex data pipelines with ease.
Connect Databricks#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
databricks: {
type: "app",
app: "databricks",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.databricks.$auth.domain}.cloud.databricks.com/api/2.0/clusters/list`,
headers: {
Authorization: `Bearer ${this.databricks.$auth.access_token}`,
},
})
},
})
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