All DSP releases prior to DSP 1.4.0 use Gravity, a Kubernetes orchestrator, which has been announced end-of-life. We have replaced Gravity with an alternative component in DSP 1.4.0. Therefore, we will no longer provide support for versions of DSP prior to DSP 1.4.0 after July 1, 2023. We advise all of our customers to upgrade to DSP 1.4.0 in order to continue to receive full product support from Splunk.
Upgrade the Splunk Data Stream Processor to 1.4.0
This topic describes how to upgrade the Splunk Data Stream Processor (DSP) to 1.4.0.
Upgrading to DSP 1.4.0 requires a new installation of DSP and migrating pipelines from a 1.3.x cluster to the new one. This requires implementation of new infrastructure for your DSP environment due to the simultaneous running of both the old and new clusters. Ensure that you adequately plan for the time and resources that this upgrade requires.
To upgrade to DSP 1.4.0 successfully, you must complete several prerequisite tasks before starting the upgrade. Make sure to read through all of the Before you upgrade sections in this topic and complete the relevant prerequisite tasks before upgrading DSP.
DSP does not provide a means of downgrading to previous versions. If you need to revert to an older DSP release, uninstall the upgraded version and reinstall the version you want.
Before you upgrade
Complete the following tasks before upgrading DSP. If you don't complete these tasks, you might encounter issues such as pipeline failures.
- Make sure you are using a DSP 1.3.x version
- Review known issues
- Review the features planned for deprecation or removal
Make sure you are using a DSP 1.3.x version
You can upgrade to DSP 1.4.0 from any DSP 1.3.x version. If you are using DSP 1.2.4, then you must upgrade to a DSP 1.3.x version first. You can upgrade to either DSP 1.3.0 or DSP 1.3.1 from DSP 1.2.4. See Upgrade the Splunk Data Stream Processor from 1.2.4 to 1.3.0 or Upgrade the Splunk Data Stream Processor from 1.3.0 to 1.3.1.
Review known issues
Review the known issues related to the upgrade process. Depending on what functions you have in your pipelines, you might need to complete some additional steps to restore those pipelines after the upgrade is complete.
Review the features planned for deprecation or removal
Review the Features planned for deprecation or removal to see what features are scheduled for future deprecation.
Due to removal of pull-based connectors in DSP 1.4.0, pipelines using pull-based connectors cannot be activated and used in your DSP 1.4.0 cluster.
Install DSP version 1.4.0
See Install the Splunk Data Stream Processor to install DSP version 1.4.0. Review the Installation checklist for DSP to ensure that your environment meets all the requirements for installation. You must install DSP 1.4.0 on a new cluster that can also handle the same data load and configurations as your old cluster. For example, if your 1.3.x cluster has 17 total nodes, then your 1.4.0 cluster should have the same number of nodes with a similar hardware profile.
Back up and restore
Once you've installed DSP 1.4.0 on a new cluster, follow these steps to back up your existing pipelines on your 1.3.x cluster and restore them in DSP 1.4.0. You do not need to deactivate your pipelines during backup. During the following steps, you will update your data sources to begin sending data to the new cluster and your restored pipelines will begin to read data, while the old cluster will finish reading any remaining data already ingested by the cluster that has yet to be processed.
- After completing an installation of 1.4.0, copy the
dsp-gravity
tool from your 1.4.0 tarball in theutil/
directory and move it into the working directory of your 1.3.x cluster. You will use this tool to generate a backup in your 1.3.x cluster and restore that backup in your 1.4.0 cluster. - Navigate to a controller node on your DSP 1.3.x cluster and run the following command to generate a backup tarball.
./dsp-gravity backup --output <name of backup tarball>
If you do not use the
--output
flag, a standard date-based time will be used to name your backup tarball. - Once your backup is complete, you will be prompted to create and confirm a password to encrypt your 1.3.x backup tarball.
Please create a password to encrypt the tarball with: Enter password: <password> Confirm password: <re-entered password>
- Move your backup tarball from your 1.3.x cluster to the working directory of your 1.4.0 cluster.
- Return to your DSP 1.4.0 cluster and run the following command to restore your backup. This restores most cluster configurations and secrets, omitting obsolete configurations or printing out a warning for unexpected configurations. as well as connection secrets, Postgres contents (including pipeline definitions and the DSP license), lookup files, and plugins.
dsp restore <tarball name>
- When prompted, enter your password from Step 3 to decrypt your 1.3.x backup tarball and begin restoration in your 1.4.0 cluster.
- Create new topics or partitions in your external data source to send data into your restored DSP 1.4.0 pipelines.
- Adjust your restored connections to direct data flow to a new topic or partition in your desired destination.
- Activate your DSP 1.4.0 pipelines.
- Configure your external data sources to begin sending data to the new topics or partitions one at a time. Check that the corresponding DSP pipeline correctly receives and processes your data. Continue until you verify that all pipelines are moving data to the correct location and your 1.3.x cluster does not ingest any new data.
Both the DSP 1.4.0 and DSP 1.3.x clusters will actively send data to the same sinks during this step, so ensure that your destination can handle the extra data ingest.
- Continue to monitor both your DSP 1.4.0 and DSP 1.3.x clusters. Eventually your DSP 1.3.x cluster will finish processing its remaining ingested data and can be decommissioned.
Use the --skip-password
flag if you do not want to encrypt your backup tarball with a password.
After upgrading
After successfully upgrading DSP, complete the following tasks:
Review known issues and apply workarounds
There are some known issues that can occur when upgrading. Review the Known issues for DSP topic, and follow any workarounds that apply to you.
Install the Splunk Data Stream Processor | Upgrade the Splunk Data Stream Processor on the Google Cloud Platform |
This documentation applies to the following versions of Splunk® Data Stream Processor: 1.4.0
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