Splunk® Data Stream Processor

Release Notes

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Deprecated and removed features

This page lists features that Splunk Inc. has deprecated or removed in the . It also lists features that are planned for deprecation or removal in a future release. This information is provided for your planning purposes.

What does "deprecated" mean?

Deprecated features continue to work and Splunk supports them until support is removed. However, customers need to begin planning now for the future removal of support.

Any beta features that are deprecated adhere to the Splunk Pre-Release Software License Agreement. Splunk is not obligated to support beta features.

What does "removed" mean?

Removed features are no longer supported and cannot be used anymore. Customers must find an alternative to using the feature.

Features planned for deprecation or removal

The following table summarizes the features that will be deprecated or removed in a future release. Deprecated features continue to be supported, but Splunk reminds customers that deprecated features might be removed in a future release. This notice is provided for planning purposes, and best practices are to limit the use of the features described in this table.

Name of feature to be deprecated or removed What do I need to know?
Pull-based connectors We are currently working on replacing the following connectors with a more efficient alternative.
  • Amazon CloudWatch
  • Amazon Metadata
  • Amazon S3
  • Microsoft Azure Monitor
  • Google Cloud Monitoring
  • Microsoft 365

During this time, best practices are to limit the use of these connectors from DSP 1.2.1 onwards.

Support for Ubuntu 16.04 LTS Ubuntu 16.04 LTS has reached the end of its five-year LTS window on April 30th 2021, and DSP will be deprecating support for Ubuntu 16.04 LTS in a future release. Users running DSP on Ubuntu 16.04 LTS are recommended to update their system to Ubuntu 18.04 LTS.

Deprecated features

The following table summarizes the features that are deprecated.

Deprecated feature What do I need to know? First deprecated
The Extract Timestamp function The Extract Timestamp function is replaced with the Apply Timestamp Extraction function. Version 1.2.0
The Merge Events function The Merge Events function is replaced with the Apply Line Break function. Version 1.2.0
The following connectors:
  • Apache Pulsar Connector (SSL Authentication)
  • Connector for Amazon Kinesis Data Streams
  • Connector for Microsoft Azure Event Hubs
  • No-Authentication Connector for Kafka
  • SSL Connector for Kafka
The deprecated connectors have been replaced by the following connectors, which specifically support source functions only or sink functions only:
  • Apache Pulsar Source Connector (SSL Authentication)
  • Connector for Amazon Kinesis Data Streams Source
  • Connector for Amazon Kinesis Data Streams Sink
  • Connector for Microsoft Azure Event Hubs Source
  • Connector for Microsoft Azure Event Hubs Sink
  • No-Authentication Connector for Kafka Source
  • No-Authentication Connector for Kafka Sink
  • SSL Connector for Kafka Source
  • SSL Connector for Kafka Sink

After upgrading DSP to version 1.3.0, you'll need to recreate your connections using these new connectors and update your pipelines to use the new connections. See Upgrade the Splunk Data Stream Processor to 1.3.0 in the Install and administer the Data Stream Processor manual for more information.

Version 1.3.0
The /streams/v3beta1/files endpoint. Use the /streams/v3beta/lookups endpoint to upload a new CSV lookup file. Version 1.3.0

Removed features

The following features have been removed from the as of version 1.3.0.

Streaming ML Plugin

As of version 1.3.0, the Streaming ML Plugin is no longer packaged with the . You won't be able to use any of the machine learning functions that were included in the Streaming ML Plugin. Make sure that you remove all machine learning functions in your pipelines before the upgrade. Upgrading without removing ML functions will result in unexpected product behavior. See Upgrade the Splunk Data Stream Processor to 1.3.0 for more information.

The machine learning functions that were removed as part of the Streaming ML Plugin are:

  • Adaptive Thresholding
  • Apply ML Model
  • Datagen
  • Drift Detection
  • Pairwise Categorial Outlier Detection
  • Sentiment Analysis
  • Sequential Outlier Detection
  • Time Series Decomposition (STL)
  • estdc
  • perc
Last modified on 20 May, 2022
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This documentation applies to the following versions of Splunk® Data Stream Processor: 1.3.0, 1.3.1


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