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Create Bucket with Google Cloud API

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Create Bucket with the Google Cloud API
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Getting Started

Create a workflow to Create Bucket with the Google Cloud API. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

  1. Configure the Create Bucket action
    1. Connect your Google Cloud account
    2. Configure Bucket name
    3. Optional- Configure Location
    4. Optional- Select a Storage class
  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

Integrations

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Create Bucket with Google Cloud API on New Message In Channels from Slack API
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Create Bucket with Google Cloud API on New Message in Channel from Discord Bot 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.

Create Bucket on Google Cloud
Description:Creates a bucket on Google Cloud Storage [See the docs](https://googleapis.dev/nodejs/storage/latest/Bucket.html#create)
Version:0.0.3
Key:google_cloud-create-bucket

Code

import googleCloud from "../../google_cloud.app.mjs";
import storageClasses from "../../utils/storageClasses.mjs";

export default {
  name: "Create Bucket",
  version: "0.0.3",
  key: "google_cloud-create-bucket",
  type: "action",
  description: "Creates a bucket on Google Cloud Storage [See the docs](https://googleapis.dev/nodejs/storage/latest/Bucket.html#create)",
  props: {
    googleCloud,
    bucketName: {
      label: "Bucket name",
      description: "The unique bucket name, Google Cloud Storage uses a flat namespace, so you can't create a bucket with a name that is already in use, [See the docs](https://cloud.google.com/storage/docs/naming-buckets)",
      type: "string",
    },
    location: {
      label: "Location",
      description: "Location of the bucket,  Defaults to 'US' [See the docs](https://cloud.google.com/storage/docs/locations)",
      type: "string",
      optional: true,
    },
    storageClass: {
      label: "Storage class",
      description: "Storage class, [See the docs](https://cloud.google.com/storage/docs/storage-classes)",
      type: "string",
      optional: true,
      default: "STANDARD",
      options: storageClasses,
    },
  },
  async run({ $ }) {
    const {
      bucketName,
      location,
      storageClass,
    } = this;
    const options = {
      location,
      storageClass,
    };
    await this.googleCloud.storageClient().createBucket(bucketName, options);
    $.export("$summary", `${bucketName} successfully created.`);
  },
};

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
Google CloudgoogleCloudappThis component uses the Google Cloud app.
Bucket namebucketNamestring

The unique bucket name, Google Cloud Storage uses a flat namespace, so you can't create a bucket with a name that is already in use, See the docs

Locationlocationstring

Location of the bucket, Defaults to 'US' See the docs

Storage classstorageClassstringSelect a value from the drop down menu:STANDARDNEARLINECOLDLINEARCHIVE

Authentication

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

  1. Create a service account in GCP and set the permissions you need for Pipedream workflows.
  2. Generate a service account key
  3. Download the key details in JSON format
  4. Upload the key below.

About Google Cloud

The Google Cloud Platform, including BigQuery

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Actions

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Inserts rows into a BigQuery table. See the docs and for an example here

 
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Gets Google Cloud Storage bucket metadata. See the docs

 
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Get Object with the Google Cloud API

Downloads an object from a Google Cloud Storage bucket, See the docs

 
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