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with Jira and Databricks?
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Popular Jira and Databricks Triggers#
Emit new event when an event with subscribed event source triggered, See the docs
Emit new event when an issue is created. Note that Jira supports only one webhook, if more sources are needed please use New Event source and select multiple events.
Emit new event when an issue is deleted. Note that Jira supports only one webhook, if more sources are needed please use New Event source and select multiple events.
Emit new event when an issue is updated. Note that Jira supports only one webhook, if more sources are needed please use New Event source and select multiple events.
Popular Jira and Databricks Actions#
Retrieve the output and metadata of a single task run. See the documentation
Adds multiple attachments to an issue, See the docs
Overview of Jira#
The Jira API opens up a world of possibilities for automating project management tasks, syncing with other tools, and enhancing data visibility. With Pipedream's integration, you can streamline issue tracking by automatically creating, updating, and searching for issues in Jira, as well as managing projects, sprints, users, and more. This integration not only saves time but also ensures real-time data flow across various platforms, keeping teams in sync and projects on track.
Connect Jira#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
jira: {
type: "app",
app: "jira",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.atlassian.com/me`,
headers: {
Authorization: `Bearer ${this.jira.$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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