Chapter 10. Upgrading AMQ Streams
AMQ Streams can be upgraded to version 2.3 to take advantage of new features and enhancements, performance improvements, and security options.
As part of the upgrade, you upgrade Kafka to the latest supported version. Each Kafka release introduces new features, improvements, and bug fixes to your AMQ Streams deployment.
AMQ Streams can be downgraded to the previous version if you encounter issues with the newer version.
Released versions of AMQ Streams are available from the AMQ Streams software downloads page.
Upgrade downtime and availability
If topics are configured for high availability, upgrading AMQ Streams should not cause any downtime for consumers and producers that publish and read data from those topics. Highly available topics have a replication factor of at least 3 and partitions distributed evenly among the brokers.
Upgrading AMQ Streams triggers rolling updates, where all brokers are restarted in turn, at different stages of the process. During rolling updates, not all brokers are online, so overall cluster availability is temporarily reduced. A reduction in cluster availability increases the chance that a broker failure will result in lost messages.
10.1. AMQ Streams upgrade paths
Two upgrade paths are possible.
- Incremental upgrade
- Upgrading AMQ Streams from the previous minor version to version 2.3.
- Multi-version upgrade
Upgrading AMQ Streams from an old version to version 2.3 within a single upgrade (skipping one or more intermediate versions).
For example, upgrading from AMQ Streams 1.8 directly to AMQ Streams 2.3.
10.1.1. Supported Kafka versions
Decide which Kafka version to upgrade to before starting the AMQ Streams upgrade process. You can review supported Kafka versions in the AMQ Streams Supported Configurations.
- Kafka 3.3.1 is supported for production use.
- Kafka 3.2.3 is supported only for the purpose of upgrading to AMQ Streams 2.3.
You can only use a Kafka version supported by the version of AMQ Streams you are using. You can upgrade to a higher Kafka version as long as it is supported by your version of AMQ Streams. In some cases, you can also downgrade to a previous supported Kafka version.
10.1.2. Upgrading from an AMQ Streams version earlier than 1.7
If you are upgrading to the latest version of AMQ Streams from a version prior to version 1.7, do the following:
- Upgrade AMQ Streams to version 1.7 following the standard sequence.
-
Convert AMQ Streams custom resources to
v1beta2
using the Red Hat AMQ Streams API Conversion Tool provided with AMQ Streams 1.8. Do one of the following:
-
Upgrade to AMQ Streams 1.8 (where the
ControlPlaneListener
feature gate is disabled by default). -
Upgrade to AMQ Streams 2.0 or 2.2 (where the
ControlPlaneListener
feature gate is enabled by default) with theControlPlaneListener
feature gate disabled.
-
Upgrade to AMQ Streams 1.8 (where the
-
Enable the
ControlPlaneListener
feature gate. - Upgrade to AMQ Streams 2.3 following the standard sequence.
AMQ Streams custom resources started using the v1beta2
API version in release 1.7. CRDs and custom resources must be converted before upgrading to AMQ Streams 1.8 or newer. For information on using the API conversion tool, see the AMQ Streams 1.7 upgrade documentation.
As an alternative to first upgrading to version 1.7, you can install the custom resources from version 1.7 and then convert the resources.
The ControlPlaneListener
feature is now permanently enabled in AMQ Streams. You must upgrade to a version of AMQ Streams where it is disabled, then enable it using the STRIMZI_FEATURE_GATES
environment variable in the Cluster Operator configuration.
Disabling the ControlPlaneListener
feature gate
env: - name: STRIMZI_FEATURE_GATES value: -ControlPlaneListener
Enabling the ControlPlaneListener
feature gate
env: - name: STRIMZI_FEATURE_GATES value: +ControlPlaneListener
10.2. Required upgrade sequence
To upgrade brokers and clients without downtime, you must complete the AMQ Streams upgrade procedures in the following order:
Make sure your OpenShift cluster version is supported.
AMQ Streams 2.3 is supported by OpenShift 4.8 to 4.12.
- Upgrade the Cluster Operator.
- Upgrade all Kafka brokers and client applications to the latest supported Kafka version.
- Optional: Upgrade consumers and Kafka Streams applications to use the incremental cooperative rebalance protocol for partition rebalances.
10.3. Upgrading OpenShift with minimal downtime
If you are upgrading OpenShift, refer to the OpenShift upgrade documentation to check the upgrade path and the steps to upgrade your nodes correctly. Before upgrading OpenShift, check the supported versions for your version of AMQ Streams.
When performing your upgrade, you’ll want to keep your Kafka clusters available.
You can employ one of the following strategies:
- Configuring pod disruption budgets
Rolling pods by one of these methods:
- Using the AMQ Streams Drain Cleaner
- Manually by applying an annotation to your pod
You have to configure the pod disruption budget before using one of the methods to roll your pods.
For Kafka to stay operational, topics must also be replicated for high availability. This requires topic configuration that specifies a replication factor of at least 3 and a minimum number of in-sync replicas to 1 less than the replication factor.
Kafka topic replicated for high availability
apiVersion: kafka.strimzi.io/v1beta2 kind: KafkaTopic metadata: name: my-topic labels: strimzi.io/cluster: my-cluster spec: partitions: 1 replicas: 3 config: # ... min.insync.replicas: 2 # ...
In a highly available environment, the Cluster Operator maintains a minimum number of in-sync replicas for topics during the upgrade process so that there is no downtime.
10.3.1. Rolling pods using the AMQ Streams Drain Cleaner
You can use the AMQ Streams Drain Cleaner tool to evict nodes during an upgrade. The AMQ Streams Drain Cleaner annotates pods with a rolling update pod annotation. This informs the Cluster Operator to perform a rolling update of an evicted pod.
A pod disruption budget allows only a specified number of pods to be unavailable at a given time. During planned maintenance of Kafka broker pods, a pod disruption budget ensures Kafka continues to run in a highly available environment.
You specify a pod disruption budget using a template
customization for a Kafka component. By default, pod disruption budgets allow only a single pod to be unavailable at a given time.
To do this, you set maxUnavailable
to 0
(zero). Reducing the maximum pod disruption budget to zero prevents voluntary disruptions, so pods must be evicted manually.
Specifying a pod disruption budget
apiVersion: kafka.strimzi.io/v1beta2 kind: Kafka metadata: name: my-cluster namespace: myproject spec: kafka: # ... template: podDisruptionBudget: maxUnavailable: 0 # ...
10.3.2. Rolling pods manually while keeping topics available
During an upgrade, you can trigger a manual rolling update of pods through the Cluster Operator. Using Pod
resources, rolling updates restart the pods of resources with new pods. As with using the AMQ Streams Drain Cleaner, you’ll need to set the maxUnavailable
value to zero for the pod disruption budget.
You need to watch the pods that need to be drained. You then add a pod annotation to make the update.
Here, the annotation updates a Kafka broker.
Performing a manual rolling update on a Kafka broker pod
oc annotate pod <cluster_name>-kafka-<index> strimzi.io/manual-rolling-update=true
You replace <cluster_name> with the name of the cluster. Kafka broker pods are named <cluster-name>-kafka-<index>, where <index> starts at zero and ends at the total number of replicas minus one. For example, my-cluster-kafka-0
.
10.4. Upgrading the Cluster Operator
Use the same method to upgrade the Cluster Operator as the initial method of deployment.
- Using installation files
- If you deployed the Cluster Operator using the installation YAML files, perform your upgrade by modifying the Operator installation files, as described in Upgrading the Cluster Operator using installation files.
- Using the OperatorHub
If you deployed AMQ Streams from the OperatorHub, use the Operator Lifecycle Manager (OLM) to change the update channel for the AMQ Streams operators to a new AMQ Streams version.
Updating the channel starts one of the following types of upgrade, depending on your chosen upgrade strategy:
- An automatic upgrade is initiated
- A manual upgrade that requires approval before installation begins
NoteIf you subscribe to the stable channel, you can get automatic updates without changing channels. However, enabling automatic updates is not recommended because of the potential for missing any pre-installation upgrade steps. Use automatic upgrades only on version-specific channels.
For more information on using the OperatorHub to upgrade Operators, see Upgrading installed Operators (OpenShift documentation).
10.4.1. Upgrading the Cluster Operator returns Kafka version error
If you upgrade the Cluster Operator and get an unsupported Kafka version error, your Kafka cluster deployment has an older Kafka version that is not supported by the new operator version. This error applies to all installation methods.
If this error occurs, upgrade Kafka to a supported Kafka version. Change the spec.kafka.version
in the Kafka
resource to the supported version.
You can use oc
to check for error messages like this in the status
of the Kafka
resource.
Checking the Kafka status for errors
oc get kafka <kafka_cluster_name> -n <namespace> -o jsonpath='{.status.conditions}'
Replace <kafka_cluster_name>
with the name of your Kafka cluster and <namespace>
with the OpenShift namespace where the pod is running.
10.4.2. Upgrading from AMQ Streams 1.7 or earlier using the OperatorHub
Action required if upgrading from AMQ Streams 1.7 or earlier using the OperatorHub
Before you upgrade the Red Hat Integration - AMQ Streams Operator to version 2.3, you need to make the following changes:
-
Convert custom resources and CRDs to
v1beta2
-
Upgrade to a version of AMQ Streams where the
ControlPlaneListener
feature gate is disabled
These requirements are described in Section 10.1.2, “Upgrading from an AMQ Streams version earlier than 1.7”.
If you are upgrading from AMQ Streams 1.7 or earlier, do the following:
- Upgrade to AMQ Streams 1.7.
- Download the Red Hat AMQ Streams API Conversion Tool provided with AMQ Streams 1.8.
Convert custom resources and CRDs to
v1beta2
.For more information, see the AMQ Streams 1.7 upgrade documentation.
- In the OperatorHub, delete version 1.7 of the Red Hat Integration - AMQ Streams Operator.
If it also exists, delete version 2.3 of the Red Hat Integration - AMQ Streams Operator.
If it does not exist, go to the next step.
If the Approval Strategy for the AMQ Streams Operator was set to Automatic, version 2.3 of the operator might already exist in your cluster. If you did not convert custom resources and CRDs to the
v1beta2
API version before release, the operator-managed custom resources and CRDs will be using the old API version. As a result, the 2.3 Operator is stuck in Pending status. In this situation, you need to delete version 2.3 of the Red Hat Integration - AMQ Streams Operator as well as version 1.7.If you delete both operators, reconciliations are paused until the new operator version is installed. Follow the next steps immediately so that any changes to custom resources are not delayed.
In the OperatorHub, do one of the following:
-
Upgrade to version 1.8 of the Red Hat Integration - AMQ Streams Operator (where the
ControlPlaneListener
feature gate is disabled by default). -
Upgrade to version 2.0 or 2.2 of the Red Hat Integration - AMQ Streams Operator (where the
ControlPlaneListener
feature gate is enabled by default) with theControlPlaneListener
feature gate disabled.
-
Upgrade to version 1.8 of the Red Hat Integration - AMQ Streams Operator (where the
Upgrade to version 2.3 of the Red Hat Integration - AMQ Streams Operator immediately.
The installed 2.3 operator begins to watch the cluster and performs rolling updates. You might notice a temporary decrease in cluster performance during this process.
10.4.3. Upgrading the Cluster Operator using installation files
This procedure describes how to upgrade a Cluster Operator deployment to use AMQ Streams 2.3.
Follow this procedure if you deployed the Cluster Operator using the installation YAML files.
The availability of Kafka clusters managed by the Cluster Operator is not affected by the upgrade operation.
Refer to the documentation supporting a specific version of AMQ Streams for information on how to upgrade to that version.
Prerequisites
- An existing Cluster Operator deployment is available.
- You have downloaded the release artifacts for AMQ Streams 2.3.
Procedure
-
Take note of any configuration changes made to the existing Cluster Operator resources (in the
/install/cluster-operator
directory). Any changes will be overwritten by the new version of the Cluster Operator. - Update your custom resources to reflect the supported configuration options available for AMQ Streams version 2.3.
Update the Cluster Operator.
Modify the installation files for the new Cluster Operator version according to the namespace the Cluster Operator is running in.
On Linux, use:
sed -i 's/namespace: .*/namespace: my-cluster-operator-namespace/' install/cluster-operator/*RoleBinding*.yaml
On MacOS, use:
sed -i '' 's/namespace: .*/namespace: my-cluster-operator-namespace/' install/cluster-operator/*RoleBinding*.yaml
-
If you modified one or more environment variables in your existing Cluster Operator
Deployment
, edit theinstall/cluster-operator/060-Deployment-strimzi-cluster-operator.yaml
file to use those environment variables.
When you have an updated configuration, deploy it along with the rest of the installation resources:
oc replace -f install/cluster-operator
Wait for the rolling updates to complete.
If the new Operator version no longer supports the Kafka version you are upgrading from, the Cluster Operator returns an error message to say the version is not supported. Otherwise, no error message is returned.
If the error message is returned, upgrade to a Kafka version that is supported by the new Cluster Operator version:
-
Edit the
Kafka
custom resource. -
Change the
spec.kafka.version
property to a supported Kafka version.
-
Edit the
- If the error message is not returned, go to the next step. You will upgrade the Kafka version later.
Get the image for the Kafka pod to ensure the upgrade was successful:
oc get pods my-cluster-kafka-0 -o jsonpath='{.spec.containers[0].image}'
The image tag shows the new Operator version. For example:
registry.redhat.io/amq7/amq-streams-kafka-33-rhel8:2.3.0
Your Cluster Operator was upgraded to version 2.3 but the version of Kafka running in the cluster it manages is unchanged.
Following the Cluster Operator upgrade, you must perform a Kafka upgrade.
10.5. Upgrading Kafka
After you have upgraded your Cluster Operator to 2.3, the next step is to upgrade all Kafka brokers to the latest supported version of Kafka.
Kafka upgrades are performed by the Cluster Operator through rolling updates of the Kafka brokers.
The Cluster Operator initiates rolling updates based on the Kafka cluster configuration.
If Kafka.spec.kafka.config contains… | The Cluster Operator initiates… |
---|---|
Both the |
A single rolling update. After the update, the |
Either the | Two rolling updates. |
No configuration for the | Two rolling updates. |
From Kafka 3.0.0, when the inter.broker.protocol.version
is set to 3.0
or higher, the log.message.format.version
option is ignored and doesn’t need to be set. The log.message.format.version
property for brokers and the message.format.version
property for topics are deprecated and will be removed in a future release of Kafka.
As part of the Kafka upgrade, the Cluster Operator initiates rolling updates for ZooKeeper.
- A single rolling update occurs even if the ZooKeeper version is unchanged.
- Additional rolling updates occur if the new version of Kafka requires a new ZooKeeper version.
10.5.1. Kafka versions
Kafka’s log message format version and inter-broker protocol version specify, respectively, the log format version appended to messages and the version of the Kafka protocol used in a cluster. To ensure the correct versions are used, the upgrade process involves making configuration changes to existing Kafka brokers and code changes to client applications (consumers and producers).
The following table shows the differences between Kafka versions:
Kafka version | Inter-broker protocol version | Log message format version | ZooKeeper version |
---|---|---|---|
3.2.0 | 3.2 | 3.2 | 3.6.3 |
3.2.1 | 3.2 | 3.2 | 3.6.3 |
3.2.3 | 3.2 | 3.2 | 3.6.3 |
3.3.1 | 3.3 | 3.3 | 3.6.3 |
Inter-broker protocol version
In Kafka, the network protocol used for inter-broker communication is called the inter-broker protocol. Each version of Kafka has a compatible version of the inter-broker protocol. The minor version of the protocol typically increases to match the minor version of Kafka, as shown in the preceding table.
The inter-broker protocol version is set cluster wide in the Kafka
resource. To change it, you edit the inter.broker.protocol.version
property in Kafka.spec.kafka.config
.
Log message format version
When a producer sends a message to a Kafka broker, the message is encoded using a specific format. The format can change between Kafka releases, so messages specify which version of the message format they were encoded with.
The properties used to set a specific message format version are as follows:
-
message.format.version
property for topics -
log.message.format.version
property for Kafka brokers
From Kafka 3.0.0, the message format version values are assumed to match the inter.broker.protocol.version
and don’t need to be set. The values reflect the Kafka version used.
When upgrading to Kafka 3.0.0 or higher, you can remove these settings when you update the inter.broker.protocol.version
. Otherwise, set the message format version based on the Kafka version you are upgrading to.
The default value of message.format.version
for a topic is defined by the log.message.format.version
that is set on the Kafka broker. You can manually set the message.format.version
of a topic by modifying its topic configuration.
10.5.2. Strategies for upgrading clients
The right approach to upgrading your client applications (including Kafka Connect connectors) depends on your particular circumstances.
Consuming applications need to receive messages in a message format that they understand. You can ensure that this is the case in one of two ways:
- By upgrading all the consumers for a topic before upgrading any of the producers.
- By having the brokers down-convert messages to an older format.
Using broker down-conversion puts extra load on the brokers, so it is not ideal to rely on down-conversion for all topics for a prolonged period of time. For brokers to perform optimally they should not be down converting messages at all.
Broker down-conversion is configured in two ways:
-
The topic-level
message.format.version
configures it for a single topic. -
The broker-level
log.message.format.version
is the default for topics that do not have the topic-levelmessage.format.version
configured.
Messages published to a topic in a new-version format will be visible to consumers, because brokers perform down-conversion when they receive messages from producers, not when they are sent to consumers.
Common strategies you can use to upgrade your clients are described as follows. Other strategies for upgrading client applications are also possible.
The steps outlined in each strategy change slightly when upgrading to Kafka 3.0.0 or later. From Kafka 3.0.0, the message format version values are assumed to match the inter.broker.protocol.version
and don’t need to be set.
Broker-level consumers first strategy
- Upgrade all the consuming applications.
-
Change the broker-level
log.message.format.version
to the new version. - Upgrade all the producing applications.
This strategy is straightforward, and avoids any broker down-conversion. However, it assumes that all consumers in your organization can be upgraded in a coordinated way, and it does not work for applications that are both consumers and producers. There is also a risk that, if there is a problem with the upgraded clients, new-format messages might get added to the message log so that you cannot revert to the previous consumer version.
Topic-level consumers first strategy
For each topic:
- Upgrade all the consuming applications.
-
Change the topic-level
message.format.version
to the new version. - Upgrade all the producing applications.
This strategy avoids any broker down-conversion, and means you can proceed on a topic-by-topic basis. It does not work for applications that are both consumers and producers of the same topic. Again, it has the risk that, if there is a problem with the upgraded clients, new-format messages might get added to the message log.
Topic-level consumers first strategy with down conversion
For each topic:
-
Change the topic-level
message.format.version
to the old version (or rely on the topic defaulting to the broker-levellog.message.format.version
). - Upgrade all the consuming and producing applications.
- Verify that the upgraded applications function correctly.
-
Change the topic-level
message.format.version
to the new version.
This strategy requires broker down-conversion, but the load on the brokers is minimized because it is only required for a single topic (or small group of topics) at a time. It also works for applications that are both consumers and producers of the same topic. This approach ensures that the upgraded producers and consumers are working correctly before you commit to using the new message format version.
The main drawback of this approach is that it can be complicated to manage in a cluster with many topics and applications.
It is also possible to apply multiple strategies. For example, for the first few applications and topics the "per-topic consumers first, with down conversion" strategy can be used. When this has proved successful another, more efficient strategy can be considered acceptable to use instead.
10.5.3. Kafka version and image mappings
When upgrading Kafka, consider your settings for the STRIMZI_KAFKA_IMAGES
environment variable and the Kafka.spec.kafka.version
property.
-
Each
Kafka
resource can be configured with aKafka.spec.kafka.version
. The Cluster Operator’s
STRIMZI_KAFKA_IMAGES
environment variable provides a mapping between the Kafka version and the image to be used when that version is requested in a givenKafka
resource.-
If
Kafka.spec.kafka.image
is not configured, the default image for the given version is used. -
If
Kafka.spec.kafka.image
is configured, the default image is overridden.
-
If
The Cluster Operator cannot validate that an image actually contains a Kafka broker of the expected version. Take care to ensure that the given image corresponds to the given Kafka version.
10.5.4. Upgrading Kafka brokers and client applications
Upgrade an AMQ Streams Kafka cluster to the latest supported Kafka version and inter-broker protocol version.
You should also choose a strategy for upgrading clients. Kafka clients are upgraded in step 6 of this procedure.
Prerequisites
- The Cluster Operator is up and running.
-
Before you upgrade the AMQ Streams Kafka cluster, check that the
Kafka.spec.kafka.config
properties of theKafka
resource do not contain configuration options that are not supported in the new Kafka version.
Procedure
Update the Kafka cluster configuration:
oc edit kafka <my_cluster>
If configured, check that the
inter.broker.protocol.version
andlog.message.format.version
properties are set to the current version.For example, the current version is 3.2 if upgrading from Kafka version 3.2.3 to 3.3.1:
kind: Kafka spec: # ... kafka: version: 3.2.3 config: log.message.format.version: "3.2" inter.broker.protocol.version: "3.2" # ...
If
log.message.format.version
andinter.broker.protocol.version
are not configured, AMQ Streams automatically updates these versions to the current defaults after the update to the Kafka version in the next step.NoteThe value of
log.message.format.version
andinter.broker.protocol.version
must be strings to prevent them from being interpreted as floating point numbers.Change the
Kafka.spec.kafka.version
to specify the new Kafka version; leave thelog.message.format.version
andinter.broker.protocol.version
at the defaults for the current Kafka version.NoteChanging the
kafka.version
ensures that all brokers in the cluster will be upgraded to start using the new broker binaries. During this process, some brokers are using the old binaries while others have already upgraded to the new ones. Leaving theinter.broker.protocol.version
unchanged at the current setting ensures that the brokers can continue to communicate with each other throughout the upgrade.For example, if upgrading from Kafka 3.2.3 to 3.3.1:
apiVersion: kafka.strimzi.io/v1beta2 kind: Kafka spec: # ... kafka: version: 3.3.1 1 config: log.message.format.version: "3.2" 2 inter.broker.protocol.version: "3.2" 3 # ...
WarningYou cannot downgrade Kafka if the
inter.broker.protocol.version
for the new Kafka version changes. The inter-broker protocol version determines the schemas used for persistent metadata stored by the broker, including messages written to__consumer_offsets
. The downgraded cluster will not understand the messages.If the image for the Kafka cluster is defined in the Kafka custom resource, in
Kafka.spec.kafka.image
, update theimage
to point to a container image with the new Kafka version.Save and exit the editor, then wait for rolling updates to complete.
Check the progress of the rolling updates by watching the pod state transitions:
oc get pods my-cluster-kafka-0 -o jsonpath='{.spec.containers[0].image}'
The rolling updates ensure that each pod is using the broker binaries for the new version of Kafka.
Depending on your chosen strategy for upgrading clients, upgrade all client applications to use the new version of the client binaries.
If required, set the
version
property for Kafka Connect and MirrorMaker as the new version of Kafka:-
For Kafka Connect, update
KafkaConnect.spec.version
. -
For MirrorMaker, update
KafkaMirrorMaker.spec.version
. -
For MirrorMaker 2.0, update
KafkaMirrorMaker2.spec.version
.
-
For Kafka Connect, update
If configured, update the Kafka resource to use the new
inter.broker.protocol.version
version. Otherwise, go to step 9.For example, if upgrading to Kafka 3.3.1:
apiVersion: kafka.strimzi.io/v1beta2 kind: Kafka spec: # ... kafka: version: 3.3.1 config: log.message.format.version: "3.2" inter.broker.protocol.version: "3.3" # ...
- Wait for the Cluster Operator to update the cluster.
If configured, update the Kafka resource to use the new
log.message.format.version
version. Otherwise, go to step 10.For example, if upgrading to Kafka 3.3.1:
apiVersion: kafka.strimzi.io/v1beta2 kind: Kafka spec: # ... kafka: version: 3.3.1 config: log.message.format.version: "3.3" inter.broker.protocol.version: "3.3" # ...
ImportantFrom Kafka 3.0.0, when the
inter.broker.protocol.version
is set to3.0
or higher, thelog.message.format.version
option is ignored and doesn’t need to be set.Wait for the Cluster Operator to update the cluster.
- The Kafka cluster and clients are now using the new Kafka version.
- The brokers are configured to send messages using the inter-broker protocol version and message format version of the new version of Kafka.
Following the Kafka upgrade, if required, you can upgrade consumers to use the incremental cooperative rebalance protocol.
10.6. Upgrading consumers to cooperative rebalancing
You can upgrade Kafka consumers and Kafka Streams applications to use the incremental cooperative rebalance protocol for partition rebalances instead of the default eager rebalance protocol. The new protocol was added in Kafka 2.4.0.
Consumers keep their partition assignments in a cooperative rebalance and only revoke them at the end of the process, if needed to achieve a balanced cluster. This reduces the unavailability of the consumer group or Kafka Streams application.
Upgrading to the incremental cooperative rebalance protocol is optional. The eager rebalance protocol is still supported.
Prerequisites
- You have upgraded Kafka brokers and client applications to Kafka 3.3.1.
Procedure
To upgrade a Kafka consumer to use the incremental cooperative rebalance protocol:
-
Replace the Kafka clients
.jar
file with the new version. -
In the consumer configuration, append
cooperative-sticky
to thepartition.assignment.strategy
. For example, if therange
strategy is set, change the configuration torange, cooperative-sticky
. - Restart each consumer in the group in turn, waiting for the consumer to rejoin the group after each restart.
-
Reconfigure each consumer in the group by removing the earlier
partition.assignment.strategy
from the consumer configuration, leaving only thecooperative-sticky
strategy. - Restart each consumer in the group in turn, waiting for the consumer to rejoin the group after each restart.
To upgrade a Kafka Streams application to use the incremental cooperative rebalance protocol:
-
Replace the Kafka Streams
.jar
file with the new version. -
In the Kafka Streams configuration, set the
upgrade.from
configuration parameter to the Kafka version you are upgrading from (for example, 2.3). - Restart each of the stream processors (nodes) in turn.
-
Remove the
upgrade.from
configuration parameter from the Kafka Streams configuration. - Restart each consumer in the group in turn.