← Jira + Databricks integrations

Create SQL Warehouse with Databricks API on New Event from Jira API

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New Event from the Jira 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 Jira trigger and Databricks action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

  1. Select this integration
  2. Configure the New Event trigger
    1. Connect your Jira account
    2. Select a Cloud ID
    3. Configure JQL Filter
    4. Optional- Configure Override Existing Webhooks
    5. Select one or more Event types
  3. 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)
  4. Deploy the workflow
  5. Send a test event to validate your setup
  6. 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

Description:Emit new event when an event with subscribed event source triggered, [See the docs](https://developer.atlassian.com/cloud/jira/platform/rest/v3/api-group-webhooks/#api-rest-api-3-webhook-post)
Version:0.0.13
Key:jira-events

Jira Overview

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.

Trigger Code

import common from "../common/common.mjs";
import eventsTypes from "../common/eventTypes.mjs";

export default {
  key: "jira-events",
  name: "New Event",
  description: "Emit new event when an event with subscribed event source triggered, [See the docs](https://developer.atlassian.com/cloud/jira/platform/rest/v3/api-group-webhooks/#api-rest-api-3-webhook-post)",
  version: "0.0.13",
  type: "source",
  dedupe: "unique",
  ...common,
  props: {
    ...common.props,
    events: {
      type: "string[]",
      label: "Event types",
      description: "he Jira events that trigger the webhook.",
      options: eventsTypes,
    },
  },
  methods: {
    ...common.methods,
    getEvents() {
      return this.events;
    },
  },
};

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.
LabelPropTypeDescription
JirajiraappThis component uses the Jira app.
N/Ahttp$.interface.httpThis component uses $.interface.http to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the run() method of the component.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
Cloud IDcloudIdstringSelect a value from the drop down menu.
JQL FilterjqlFilterstring

The JQL filter that specifies which issues the webhook is sent for, only a subset of JQL can be used, e.g. project = P1 See supported JQL filters

Override Existing WebhooksoverrideExistingWebhooksboolean

Override existing webhooks with this new Pipedream source's webhook. Recommend to set this to true if you have an existing Jira webhook that you no longer use and want to override with the new Pipedream source.

Event typeseventsstring[]Select a value from the drop down menu:{ "label": "Issue Created", "value": "jira:issue_created" }{ "label": "Issue Updated", "value": "jira:issue_updated" }{ "label": "Issue Deleted", "value": "jira:issue_deleted" }

Trigger Authentication

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

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

read:jira-workmanage:jira-projectread:jira-userwrite:jira-workmanage:jira-data-providerread:meoffline_accessread:issue-details:jiraread:board-scope:jira-softwareread:webhook:jirawrite:webhook:jiraread:field:jiraread:project:jiradelete:webhook:jirawrite:board-scope:jira-softwareread:board-scope.admin:jira-softwareread:sprint:jira-softwarewrite:sprint:jira-softwareread:field.option:jirawrite:field.option:jiraread:custom-field-contextual-configuration:jira write:custom-field-contextual-configuration:jiramanage:jira-configurationread:jql:jira

About Jira

Jira is the #1 agile project management tool used by teams to plan, track, release, and support great software with confidence

Action

Description:Creates a new SQL Warehouse in Databricks. [See the documentation](https://docs.databricks.com/api/workspace/warehouses/create)
Version:0.0.2
Key:databricks-create-sql-warehouse

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: "0.0.2",
  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.

LabelPropTypeDescription
DatabricksdatabricksappThis component uses the Databricks app.
Warehouse Namenamestring

A human-readable name for the warehouse

Cluster SizeclusterSizestringSelect a value from the drop down menu:2X-SmallX-SmallSmallMediumLargeX-Large2X-Large3X-Large4X-Large
Auto Stop (minutes)autoStopMinutesinteger

Minutes of inactivity before auto-stop. 0 disables auto-stop. Must be 0 or ≥ 10.

Min Number of ClustersminNumClustersinteger

Minimum number of clusters to maintain (> 0 and ≤ min(max_num_clusters, 30)).

Max Number of ClustersmaxNumClustersinteger

Maximum number of clusters for autoscaler (≥ min_num_clusters and ≤ 30).

Enable PhotonenablePhotonboolean

Whether the warehouse should use Photon optimized clusters.

Enable Serverless ComputeenableServerlessComputeboolean

Whether the warehouse should use serverless compute.

Warehouse TypewarehouseTypestringSelect a value from the drop down menu:TYPE_UNSPECIFIEDCLASSICPRO
Spot Instance PolicyspotInstancePolicystringSelect a value from the drop down menu:POLICY_UNSPECIFIEDCOST_OPTIMIZEDRELIABILITY_OPTIMIZED
Channelchannelobject

Channel details. Example: { "name": "CHANNEL_NAME_CUSTOM", "dbsql_version": "2023.35" }

Tagstagsobject

Custom key-value tags for resources associated with this SQL Warehouse.

Instance Profile ARN (Deprecated)instanceProfileArnstring

Deprecated. Instance profile used to pass IAM role to the cluster.

Action Authentication

Databricks uses API keys for authentication. When you connect your Databricks account, Pipedream securely stores the keys so you can easily authenticate to Databricks APIs in both code and no-code steps.

About Databricks

Databricks is the lakehouse company, helping data teams solve the world’s toughest problems.

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