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Edit SQL Warehouse with Databricks API

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Edit SQL Warehouse with the Databricks API
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Getting Started

Create a workflow to Edit SQL Warehouse with the Databricks API. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

  1. Configure the Edit SQL Warehouse action
    1. Connect your Databricks account
    2. Select a Warehouse ID
    3. Optional- Configure Warehouse Name
    4. Optional- Select a Cluster Size
    5. Optional- Configure Auto Stop (minutes)
    6. Optional- Configure Min Number of Clusters
    7. Optional- Configure Max Number of Clusters
    8. Optional- Configure Enable Photon
    9. Optional- Configure Enable Serverless Compute
    10. Optional- Select a Warehouse Type
    11. Optional- Select a Spot Instance Policy
    12. Optional- Configure Tags
    13. Optional- Configure Channel
    14. Optional- Configure Instance Profile ARN (Deprecated)
  2. Select a trigger to run your workflow on HTTP requests, schedules or app events
  3. Deploy the workflow
  4. Send a test event to validate your setup
  5. Turn on the trigger

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Edit SQL Warehouse with Databricks API on New Submission (Instant) from Jotform API
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Edit SQL Warehouse with Databricks API on New Scheduled Tasks from Pipedream API
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Edit SQL Warehouse with Databricks API on New Download Counts from npm API
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Details

This is a pre-built, source-available component from Pipedream's GitHub repo. The component is 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.

Edit SQL Warehouse on Databricks
Description:Edits the configuration of an existing SQL Warehouse. [See the documentation](https://docs.databricks.com/api/workspace/warehouses/edit)
Version:0.0.1
Key:databricks-edit-sql-warehouse

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-edit-sql-warehouse",
  name: "Edit SQL Warehouse",
  description: "Edits the configuration of an existing SQL Warehouse. [See the documentation](https://docs.databricks.com/api/workspace/warehouses/edit)",
  version: "0.0.1",
  type: "action",
  props: {
    databricks,
    warehouseId: {
      description: "The ID of the SQL Warehouse to edit",
      propDefinition: [
        databricks,
        "warehouseId",
      ],
    },
    name: {
      type: "string",
      label: "Warehouse Name",
      description: "Logical name for the warehouse. Must be unique within an org and under 100 characters.",
      optional: true,
    },
    clusterSize: {
      type: "string",
      label: "Cluster Size",
      description: "Size of clusters allocated for this warehouse.",
      options: constants.CLUSTER_SIZES,
      optional: true,
    },
    autoStopMins: {
      type: "integer",
      label: "Auto Stop (minutes)",
      description: "Minutes of inactivity before auto-stop. 0 disables autostop. Must be 0 or ≥ 10.",
      optional: true,
    },
    minNumClusters: {
      type: "integer",
      label: "Min Number of Clusters",
      description: "Minimum number of available clusters (> 0 and ≤ min(max_num_clusters, 30)).",
      optional: true,
    },
    maxNumClusters: {
      type: "integer",
      label: "Max Number of Clusters",
      description: "Maximum number of clusters for autoscaler (≥ min_num_clusters and ≤ 30).",
      optional: true,
    },
    enablePhoton: {
      type: "boolean",
      label: "Enable Photon",
      description: "Use Photon optimized clusters.",
      optional: true,
    },
    enableServerlessCompute: {
      type: "boolean",
      label: "Enable Serverless Compute",
      description: "Use serverless compute for this warehouse.",
      optional: true,
    },
    warehouseType: {
      type: "string",
      label: "Warehouse Type",
      description: "Set to PRO (recommended) or CLASSIC. Set PRO + enable serverless to use serverless.",
      options: [
        "TYPE_UNSPECIFIED",
        "CLASSIC",
        "PRO",
      ],
      optional: true,
    },
    spotInstancePolicy: {
      type: "string",
      label: "Spot Instance Policy",
      description: "Whether the warehouse should use spot instances.",
      options: [
        "POLICY_UNSPECIFIED",
        "COST_OPTIMIZED",
        "RELIABILITY_OPTIMIZED",
      ],
      optional: true,
    },
    tags: {
      type: "object",
      label: "Tags",
      description: "Key-value tags for all resources associated with this warehouse (fewer than 45 tags).",
      optional: true,
    },
    channel: {
      type: "object",
      label: "Channel",
      description: "Channel details. Example: `{ \"name\": \"CHANNEL_NAME_CUSTOM\", \"dbsql_version\": \"2023.35\" }`",
      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 = {};

    if (this.name !== undefined) {
      if (typeof this.name !== "string" || this.name.length >= 100) {
        throw new ConfigurationError("name must be a string with fewer than 100 characters.");
      }
      payload.name = this.name;
    }
    if (this.clusterSize !== undefined) payload.cluster_size = this.clusterSize;

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

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

    if (this.maxNumClusters !== undefined) {
      if (this.maxNumClusters < 1 || this.maxNumClusters > 30) {
        throw new ConfigurationError("maxNumClusters must be between 1 and 30.");
      }
      if (this.minNumClusters !== undefined && this.maxNumClusters < this.minNumClusters) {
        throw new ConfigurationError("maxNumClusters must be >= minNumClusters.");
      }
      payload.max_num_clusters = this.maxNumClusters;
    }

    if (this.enablePhoton !== undefined) payload.enable_photon = this.enablePhoton;
    if (this.enableServerlessCompute !== undefined) {
      if (this.warehouseType === "CLASSIC" && this.enableServerlessCompute) {
        throw new ConfigurationError("Serverless compute requires warehouseType = PRO.");
      }
      payload.enable_serverless_compute = this.enableServerlessCompute;
    }

    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.warehouseType !== undefined) payload.warehouse_type = this.warehouseType;
    if (this.spotInstancePolicy !== undefined) {
      payload.spot_instance_policy = this.spotInstancePolicy;
    }
    if (this.channel !== undefined) payload.channel = utils.parseObject(this.channel);
    if (this.instanceProfileArn !== undefined) {
      payload.instance_profile_arn = this.instanceProfileArn;
    }

    if (!Object.keys(payload).length) {
      throw new ConfigurationError("No fields to update. Provide at least one property.");
    }

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

    $.export("$summary", `Successfully edited SQL Warehouse ID ${this.warehouseId}`);
    return response;
  },
};

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
DatabricksdatabricksappThis component uses the Databricks app.
Warehouse IDwarehouseIdstringSelect a value from the drop down menu.
Warehouse Namenamestring

Logical name for the warehouse. Must be unique within an org and under 100 characters.

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

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

Min Number of ClustersminNumClustersinteger

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

Max Number of ClustersmaxNumClustersinteger

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

Enable PhotonenablePhotonboolean

Use Photon optimized clusters.

Enable Serverless ComputeenableServerlessComputeboolean

Use serverless compute for this warehouse.

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
Tagstagsobject

Key-value tags for all resources associated with this warehouse (fewer than 45 tags).

Channelchannelobject

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

Instance Profile ARN (Deprecated)instanceProfileArnstring

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

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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