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.
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Connecting Google Cloud Storage to your DSP pipeline as a data destination

When creating a data pipeline in the , you can connect to Google Cloud Storage and use it as a data destination. You can get data into a data pipeline, transform it, and then send the transformed data to a Cloud Storage bucket.

To connect to Google Cloud Storage as a data destination, you must complete the following tasks:

  1. If the bucket that you want to send data to does not already exist in your Google Cloud Storage instance, create it. For information about creating a Cloud Storage bucket, search for "Creating storage buckets" in the Google Cloud Storage documentation.
  2. Create a connection that allows DSP to send data to your Cloud Storage bucket. See Create a DSP connection to send data to Google Cloud Storage.
  3. Create a pipeline that ends with the Send to Google Cloud Storage sink function. See the Building a pipeline chapter in the Use the Data Stream Processor manual for instructions on how to build a data pipeline.
  4. Configure the Send to Google Cloud Storage sink function to use your Google Cloud Storage connection and send data to an existing Cloud Storage bucket. See Send data to Google Cloud Storage in the Function Reference manual.

When you activate the pipeline, the sink function starts sending data from the pipeline to the specified Cloud Storage bucket.

Last modified on 25 March, 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, 1.3.0, 1.3.1


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