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PostgreSQL

Integrate the Databricks API with the PostgreSQL API

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

Popular Ways to Connect Databricks with PostgreSQL

Get Run Output with Databricks API on New Column from PostgreSQL API
PostgreSQL + Databricks
 
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Get Run Output with Databricks API on New or Updated Row from PostgreSQL API
PostgreSQL + Databricks
 
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Get Run Output with Databricks API on New Row Custom Query from PostgreSQL API
PostgreSQL + Databricks
 
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Get Run Output with Databricks API on New Row from PostgreSQL API
PostgreSQL + Databricks
 
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Get Run Output with Databricks API on New Table from PostgreSQL API
PostgreSQL + Databricks
 
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Popular Databricks and PostgreSQL Triggers

New Column from the PostgreSQL API

Emit new event when a new column is added to a table. See the documentation

 
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New or Updated Row from the PostgreSQL API

Emit new event when a row is added or modified. See the documentation

 
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New Row from the PostgreSQL API

Emit new event when a new row is added to a table. See the documentation

 
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New Row Custom Query from the PostgreSQL API

Emit new event when new rows are returned from a custom query that you provide. See the documentation

 
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New Table from the PostgreSQL API

Emit new event when a new table is added to the database. See the documentation

 
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Popular Databricks and PostgreSQL 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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Delete Row(s) with the PostgreSQL API

Deletes a row or rows from a table. 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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Execute Custom Query with the PostgreSQL API

Executes a custom query you provide. 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

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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 PostgreSQL

On Pipedream, you can leverage the PostgreSQL app to create workflows that automate database operations, synchronize data across platforms, and react to database events in real-time. Think handling new row entries, updating records from webhooks, or even compiling reports on a set schedule. Pipedream's serverless platform provides a powerful way to connect PostgreSQL with a variety of apps, enabling you to create tailored automation that fits your specific needs.

Connect PostgreSQL

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import postgresql from "@pipedream/postgresql"

export default defineComponent({
  props: {
    postgresql,
  },
  async run({ steps, $ }) {
    // Component source code:
    // https://github.com/PipedreamHQ/pipedream/tree/master/components/postgresql

    const queryObj = {
      text: "SELECT NOW()",
      values: [], // Ignored since query does not contain placeholders
    };
    const { rows } = await this.postgresql.executeQuery(queryObj);
    return rows;
  },
})
Pipedream, Inc. — San Francisco, CA
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