Integrate the Databricks API with the Schedule API

Setup the Databricks API trigger to run a workflow which integrates with the Schedule API. Pipedream's integration platform allows you to integrate Databricks and Schedule remarkably fast. Free for developers.

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Popular Ways to Connect Databricks with Schedule#

Get Run Output with Databricks API on Custom Interval from Schedule API

Schedule + Databricks

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Get Run Output with Databricks API on Daily schedule from Schedule API

Schedule + Databricks

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Get Run Output with Databricks API on Monthly Schedule from Schedule API

Schedule + Databricks

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Get Run Output with Databricks API on Weekly schedule from Schedule API

Schedule + Databricks

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List Runs with Databricks API on Custom Interval from Schedule API

Schedule + Databricks

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Popular Databricks and Schedule Triggers#

Custom Interval from the Schedule API

Trigger your workflow every N hours, minutes or seconds.

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Daily schedule from the Schedule API

Trigger your workflow every day.

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Monthly Schedule from the Schedule API

Trigger your workflow on one or more days each month at a specific time (with timezone support).

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Weekly schedule from the Schedule API

Trigger your workflow on one or more days each week at a specific time (with timezone support).

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Popular Databricks and Schedule Actions#

Get Run Output with the Databricks API

Retrieve the output and metadata of a single task run. See the documentation

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List Runs with the Databricks API

Lists all runs available to the user. See the documentation

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Run Job Now with the Databricks API

Run a job now and return the id of the triggered run. See the documentation

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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}`,
      },
    })
  },
})

Overview of Schedule#

The Schedule app in Pipedream is a powerful tool that allows you to trigger workflows at regular intervals, ranging from every minute to once a year. This enables the automation of repetitive tasks and the scheduling of actions to occur without manual intervention. By leveraging this API, you can execute code, run integrations, and process data on a reliable schedule, all within Pipedream's serverless environment.

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