Splunk® Data Stream Processor

Connect to Data Sources and Destinations with DSP

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On October 30, 2022, all 1.2.x versions of the Splunk Data Stream Processor will reach its end of support date. See the Splunk Software Support Policy for details. For information about upgrading to a supported version, see the Upgrade the Splunk Data Stream Processor topic.
This documentation does not apply to the most recent version of DSP. Click here for the latest version.
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Create a DSP connection to send data to Google Cloud Storage

To send data from a data pipeline in the to a Google Cloud Storage bucket, you must first create a connection using the Connector for Google Cloud Storage. You can then use the connection in the Send to Google Cloud Storage sink function to send data from your pipeline to your Cloud Storage bucket.

Prerequisites

Before you can create the Google Cloud Storage connection, you must have the following:

  • A Google Cloud service account that has the storage.objects.create permission.
  • A JSON file containing the credentials of your Google Cloud service account.

If you don't have the required permission or the credentials file, ask your Google Cloud Platform administrator for assistance. For information about managing permissions and roles, search for "Identity and Access Management" in the Google Cloud storage documentation. For information about creating the credentials file, search for "Creating service account keys" in the Google Cloud Identity and Access Management (IAM) documentation.

Steps

  1. In the , select the Connections tab and then click Create Connection.
  2. Select Connector for Google Cloud Storage and then click Next.
  3. Complete the following fields:
    Field Description
    Connection Name A unique name for your Google Cloud Storage connection.
    Description (Optional) A description of your connection.
    Service Account Credentials JSON The JSON file containing the credentials of your Google Cloud service account.

    Any credentials that you upload are transmitted securely by HTTPS, encrypted, and securely stored in a secrets manager.

  4. Click Save.

    If you're editing a connection that's being used by an active pipeline, you must reactivate that pipeline after making your changes. When you reactivate a pipeline, you must select where you want to resume data ingestion. See Using activation checkpoints to activate your pipeline in the Use the Data Stream Processor manual for more information.

You can now use your connection in a Google Cloud Storage sink function at the end of your data pipeline to send data to a Cloud Storage bucket. For instructions on how to build a data pipeline, see the Building a pipeline chapter in the Use the manual. For information about the sink function, see Send data to Google Cloud Storage in the Function Reference manual.

Last modified on 26 February, 2022
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This documentation applies to the following versions of Splunk® Data Stream Processor: 1.2.1, 1.2.2-patch02, 1.2.4, 1.2.5


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