Create SQL Warehouse with Databricks API on New Channel Created (Instant) from Slack API

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New Channel Created (Instant) from the Slack API

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Create SQL Warehouse with the Databricks API

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Getting Started#

This integration creates a workflow with a Slack trigger and Databricks action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Channel Created (Instant) trigger
1. Connect your Slack account
2. Configure slackApphook
Configure the Create SQL Warehouse action
1. Connect your Databricks account
2. Configure Warehouse Name
3. Select a Cluster Size
4. Optional- Configure Auto Stop (minutes)
5. Optional- Configure Min Number of Clusters
6. Optional- Configure Max Number of Clusters
7. Optional- Configure Enable Photon
8. Optional- Configure Enable Serverless Compute
9. Optional- Select a Warehouse Type
10. Optional- Select a Spot Instance Policy
11. Optional- Configure Channel
12. Optional- Configure Tags
13. Optional- Configure Instance Profile ARN (Deprecated)
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Details#

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Trigger#

New Channel Created (Instant) on Slack

Description:Emit new event when a new channel is created.

Version:0.0.11

Key:slack_v2-new-channel-created

View on GitHub

Slack Overview#

The Pipedream app for Slack enables you to build event-driven workflows that interact with the Slack API. Once you authorize the app's access to your workspace, you can use Pipedream workflows to perform common Slack actions or write your own code against the Slack API.

The Pipedream app for Slack is not a typical app. You don't interact with it directly as a bot, and it doesn't add custom functionality to your workspace out of the box. It makes it easier to automate anything you'd typically use the Slack API for, using Pipedream workflows.

Automate posting updates to your team channels
Create a bot to answer common questions
Integrate with your existing tools and services
And much more!

Trigger Code#

import common from "../common/base.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  ...common,
  key: "slack_v2-new-channel-created",
  name: "New Channel Created (Instant)",
  version: "0.0.11",
  description: "Emit new event when a new channel is created.",
  type: "source",
  dedupe: "unique",
  props: {
    ...common.props,
    // eslint-disable-next-line pipedream/props-description,pipedream/props-label
    slackApphook: {
      type: "$.interface.apphook",
      appProp: "slack",
      async eventNames() {
        return [
          "channel_created",
        ];
      },
    },
  },
  methods: {
    ...common.methods,
    getSummary({ channel: { name } }) {
      return `New channel created - ${name}`;
    },
  },
  sampleEmit,
};

Trigger Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.

Label	Prop	Type	Description
Slack	`slack`	`app`	This component uses the Slack app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`slackApphook`	`$.interface.apphook`

Trigger Authentication#

Slack uses OAuth authentication. When you connect your Slack account, Pipedream will open a popup window where you can sign into Slack and grant Pipedream permission to connect to your account. Pipedream securely stores and automatically refreshes the OAuth tokens so you can easily authenticate any Slack API.

Pipedream requests the following authorization scopes when you connect your account:

chat:writechat:write.customizechat:write.publicfiles:read

About Slack#

Slack is the AI-powered platform for work bringing all of your conversations, apps, and customers together in one place. Around the world, Slack is helping businesses of all sizes grow and send productivity through the roof.

Action#

Create SQL Warehouse on Databricks

Description:Creates a new SQL Warehouse in Databricks. [See the documentation](https://docs.databricks.com/api/workspace/warehouses/create)

Version:0.0.5

Key:databricks-create-sql-warehouse

View on GitHub

Databricks Overview#

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.

Action Code#

import databricks from "../../databricks.app.mjs";
import constants from "../../common/constants.mjs";
import utils from "../../common/utils.mjs";
import { ConfigurationError } from "@pipedream/platform";

export default {
  key: "databricks-create-sql-warehouse",
  name: "Create SQL Warehouse",
  description: "Creates a new SQL Warehouse in Databricks. [See the documentation](https://docs.databricks.com/api/workspace/warehouses/create)",
  version: "0.0.5",
  annotations: {
    destructiveHint: false,
    openWorldHint: true,
    readOnlyHint: false,
  },
  type: "action",
  props: {
    databricks,
    name: {
      type: "string",
      label: "Warehouse Name",
      description: "A human-readable name for the warehouse",
    },
    clusterSize: {
      type: "string",
      label: "Cluster Size",
      description: "Size of the cluster",
      options: constants.CLUSTER_SIZES,
    },
    autoStopMinutes: {
      type: "integer",
      label: "Auto Stop (minutes)",
      description:
        "Minutes of inactivity before auto-stop. 0 disables auto-stop. Must be 0 or ≥ 10.",
      optional: true,
      default: 10,
    },
    minNumClusters: {
      type: "integer",
      label: "Min Number of Clusters",
      description: "Minimum number of clusters to maintain (> 0 and ≤ min(max_num_clusters, 30)).",
      optional: true,
      default: 1,
    },
    maxNumClusters: {
      type: "integer",
      label: "Max Number of Clusters",
      description: "Maximum number of clusters for autoscaler (≥ min_num_clusters and ≤ 30).",
      optional: true,
      default: 1,
    },
    enablePhoton: {
      type: "boolean",
      label: "Enable Photon",
      description: "Whether the warehouse should use Photon optimized clusters.",
      optional: true,
    },
    enableServerlessCompute: {
      type: "boolean",
      label: "Enable Serverless Compute",
      description: "Whether the warehouse should use serverless compute.",
      optional: true,
    },
    warehouseType: {
      type: "string",
      label: "Warehouse Type",
      description:
        "Warehouse type: PRO or CLASSIC. Set PRO + enableServerlessCompute = true to use serverless.",
      options: [
        "TYPE_UNSPECIFIED",
        "CLASSIC",
        "PRO",
      ],
      optional: true,
    },
    spotInstancePolicy: {
      type: "string",
      label: "Spot Instance Policy",
      description: "Configures whether the warehouse should use spot instances.",
      options: [
        "POLICY_UNSPECIFIED",
        "COST_OPTIMIZED",
        "RELIABILITY_OPTIMIZED",
      ],
      optional: true,
    },
    channel: {
      type: "object",
      label: "Channel",
      description:
        "Channel details. Example: `{ \"name\": \"CHANNEL_NAME_CUSTOM\", \"dbsql_version\": \"2023.35\" }`",
      optional: true,
    },
    tags: {
      type: "object",
      label: "Tags",
      description:
        "Custom key-value tags for resources associated with this SQL Warehouse.",
      optional: true,
    },
    instanceProfileArn: {
      type: "string",
      label: "Instance Profile ARN (Deprecated)",
      description: "Deprecated. Instance profile used to pass IAM role to the cluster.",
      optional: true,
    },
  },

  async run({ $ }) {
    const payload = {
      name: this.name,
      cluster_size: this.clusterSize,
    };

    if (this.autoStopMinutes !== undefined) {
      if (this.autoStopMinutes !== 0 && this.autoStopMinutes < 10) {
        throw new ConfigurationError("autoStopMinutes must be 0 or ≥ 10.");
      }
      payload.auto_stop_mins = this.autoStopMinutes;
    }

    const minNumClusters = this.minNumClusters ?? 1;
    if (minNumClusters < 1 || minNumClusters > 30) {
      throw new ConfigurationError("minNumClusters must be between 1 and 30.");
    }
    payload.min_num_clusters = minNumClusters;

    if (this.maxNumClusters !== undefined) {
      if (
        this.maxNumClusters < payload.min_num_clusters ||
        this.maxNumClusters > 30
      ) {
        throw new ConfigurationError(
          `maxNumClusters must be ≥ minNumClusters (${payload.min_num_clusters}) and ≤ 30.`,
        );
      }
      payload.max_num_clusters = this.maxNumClusters;
    }

    const parsedTags = utils.parseObject(this.tags);
    const tagArray = Object.entries(parsedTags).map(([
      key,
      value,
    ]) => ({
      key,
      value,
    }));
    if (tagArray.length) {
      payload.tags = {
        custom_tags: tagArray,
      };
    }

    if (this.enablePhoton !== undefined)
      payload.enable_photon = this.enablePhoton;
    if (this.enableServerlessCompute !== undefined)
      payload.enable_serverless_compute = this.enableServerlessCompute;
    if (this.warehouseType) payload.warehouse_type = this.warehouseType;
    if (this.spotInstancePolicy)
      payload.spot_instance_policy = this.spotInstancePolicy;
    if (this.channel) payload.channel = utils.parseObject(this.channel);
    if (this.instanceProfileArn)
      payload.instance_profile_arn = this.instanceProfileArn;

    const response = await this.databricks.createSQLWarehouse({
      data: payload,
      $,
    });

    $.export(
      "$summary",
      `Successfully created SQL Warehouse: ${response?.name || this.name}`,
    );
    return response;
  },
};

Action Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI.

Label	Prop	Type	Description
Databricks	`databricks`	`app`	This component uses the Databricks app.
Warehouse Name	`name`	`string`	A human-readable name for the warehouse
Cluster Size	`clusterSize`	`string`	Select a value from the drop down menu:`2X-SmallX-SmallSmallMediumLargeX-Large2X-Large3X-Large4X-Large`
Auto Stop (minutes)	`autoStopMinutes`	`integer`	Minutes of inactivity before auto-stop. 0 disables auto-stop. Must be 0 or ≥ 10.
Min Number of Clusters	`minNumClusters`	`integer`	Minimum number of clusters to maintain (> 0 and ≤ min(max_num_clusters, 30)).
Max Number of Clusters	`maxNumClusters`	`integer`	Maximum number of clusters for autoscaler (≥ min_num_clusters and ≤ 30).
Enable Photon	`enablePhoton`	`boolean`	Whether the warehouse should use Photon optimized clusters.
Enable Serverless Compute	`enableServerlessCompute`	`boolean`	Whether the warehouse should use serverless compute.
Warehouse Type	`warehouseType`	`string`	Select a value from the drop down menu:`TYPE_UNSPECIFIEDCLASSICPRO`
Spot Instance Policy	`spotInstancePolicy`	`string`	Select a value from the drop down menu:`POLICY_UNSPECIFIEDCOST_OPTIMIZEDRELIABILITY_OPTIMIZED`
Channel	`channel`	`object`	Channel details. Example: `{ "name": "CHANNEL_NAME_CUSTOM", "dbsql_version": "2023.35" }`
Tags	`tags`	`object`	Custom key-value tags for resources associated with this SQL Warehouse.
Instance Profile ARN (Deprecated)	`instanceProfileArn`	`string`	Deprecated. Instance profile used to pass IAM role to the cluster.

Create SQL Warehouse with Databricks API on New Channel Created (Instant) from Slack API

Pipedream makes it easy to connect APIs for Databricks, Slack and 2,900+ other apps remarkably fast.

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Developers ♥ Pipedream

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