The default values for the consumer group and topics will differ when running multiple instances. You can configure the Strimzi Operator and Apicurio Registry Operator to use an encrypted Transport Layer Security (TLS) connection. For example, the Cluster Operator will need to perform a rolling restart if a CA (Certificate Authority) certificate that it manages is close to expiry. What happens, in effect, is all instances are coupled to run in a cluster and use the same topics. This procedure shows a configuration that uses TLS encryption and authentication on the consumer and producer side.
KafkaMirrorMaker2 schema reference, B.134.
Working with custom resources", Expand section "12.1.1.
This section describes how to configure a Kafka MirrorMaker 2.0 deployment in your AMQ Streams cluster. Depending on the listener type, the port number might not be the same as the port number that connects Kafka clients. Memory requests and limits are specified in megabytes, gigabytes, mebibytes, and gibibytes.
For information about Configuring init container image for Kafka rack awareness, see.
In case it is needed, you can follow this procedure. This procedure describes how to delete an existing Kafka node by using an OpenShift annotation.
The sample shows only some of the possible configuration options, but those that are particularly important include: An efficient data storage infrastructure is essential to the optimal performance of AMQ Streams.
It must have the following structure: where
The number of ZooKeeper nodes can be configured using the replicas property in Kafka.spec.zookeeper. If a ConfigMap is used, you set logging.name property to the name of the ConfigMap containing the external logging configuration.
Using the Cluster Operator", Collapse section "5.1.
Kafka rules for exporting metrics to a Grafana dashboard through the JMX Exporter. For example, using oc annotate: This procedure describes how to manually trigger a rolling update of an existing ZooKeeper cluster by using an OpenShift annotation. In such a case, you should either copy the AMQ Streams images or build them from the source.
The memory overhead of an object is very high, usually twice or more than the, With the increase of data in the heap, the speed of GC becomes slower and slower, Write operation: appending the data sequence to the file, Read operations do not block write and other operations, and data size does not affect performance, Linear access disk, fast, can save longer, more stable.
Customizing OpenShift resources", Collapse section "2.6. While a rolling restart of the pods should not affect availability of the service (assuming correct broker and topic configurations), it could affect performance of the Kafka client applications. The label is used by OpenShift when scheduling the Kafka broker pods to nodes.
ExternalConfiguration schema reference", Collapse section "B.89.
Kafka consumer configuration tuning", Collapse section "12.4.2. PodTemplate schema reference", Expand section "B.80. In the OpenShift web console, click Installed Operators, select the Strimzi Operator details, and then the Kafka tab. Using the User Operator", Collapse section "5.3. Configuring internal clients to trust the cluster CA, 11.7. However, if you want to use Kafka CLI tools that require a connection to ZooKeeper, you can use a terminal inside a ZooKeeper container and connect to localhost:12181 as the ZooKeeper address. Instrumenting Kafka clients with tracers", Expand section "10.3.1.
At the same time, Kafka has the following disadvantages based on JVM memory: In fact, the performance of disk linear write is much better than that of write at any location.
It can also improve performance.
Alternative subjects in server certificates for Kafka listeners", Expand section "12. Cluster configuration", Expand section "2.5. For more information on garbage collection, see. Edit the affinity property in the resource specifying the cluster deployment.
Initializing a Jaeger tracer for Kafka clients, 10.2.2.
Resources requests currently supported by AMQ Streams: A request may be configured for one or more supported resources. Find the name of the Pod that you want to delete. MirrorMaker 2.0 tracks offsets for consumer groups using internal topics. The first records the current assignment for the partitions being moved.
Generating reassignment JSON files, 2.1.24.4. To avoid data loss, you have to move all partitions before removing the volumes.
Apache Kafka (Kafka + SQL) - data is stored using Apache Kafka, with the help of local SQL database For example, you cannot change the size of a persistent storage volume after it has been provisioned. Customizing OpenShift resources", Expand section "3. KafkaMirrorMakerProducerSpec schema reference, B.119.
MirrorMaker 2.0 uses its MirrorCheckpointConnector to emit checkpoints for offset tracking. Configuring resource requests and limits, 2.1.13.1. The index file metadata points to the migration address of message in the corresponding log file; For example, 2128 refers to the second data in the log file, and the offset address is 128; The physical address (specified in the index file) + offset address can locate the message.We can use Kafkas own tool to view the data information in the log file, Recently, the space of the local virtual machine is always occupied by backup. The following properties are supported: The Topic Operator and User Operator have a configurable logger: The operators use the Apache log4j2 logger implementation.
Allowed port numbers are 9092 and higher with the exception of ports 9404 and 9999, which are already used for Prometheus and JMX. It is only possible to have one reassignment running in a cluster at any given time, and it is not possible to cancel a running reassignment. The following example demonstrates the use of a storage class. CPU requests and limits are supported in the following formats: The computing power of 1 CPU core may differ depending on the platform where OpenShift is deployed.
Connecting to ZooKeeper from a terminal, 2.1.10.1. OAuth 2.0 authorization mechanism", Collapse section "4.5.1.
The majority of nodes must be available in order to maintain an effective quorum. For example: If your cluster already has topics defined, see Section2.1.24, Scaling clusters.
Managing schemas with Service Registry, 9.7. KafkaBridgeSpec schema reference", Collapse section "B.122. A set of rules provided with AMQ Streams may be copied to your Kafka resource configuration.
KafkaClientAuthenticationScramSha512 schema reference, B.84. Cluster Operator configuration", Expand section "5.1.2. Listener authentication", Expand section "4.1.2. GenericKafkaListenerConfiguration schema reference", Expand section "B.17. AclRuleClusterResource schema reference, B.110.
Tuning client configuration", Expand section "12.4.1.
Engage with our Red Hat Product Security team, access security updates, and ensure your environments are not exposed to any known security vulnerabilities. If the configured image is not compatible with AMQ Streams images, it might not work properly. Example of enabling metrics with additional Prometheus JMX Exporter configuration.
Only the operator that is responsible for managing a particular OpenShift resource can change that resource. Configuring the Topic Operator with resource requests and limits, 5.3.1.
Connectors are plugins that provide the connection configuration needed. The Debezium documentation includes a Getting Started with Debezium guide that guides you through the process of setting up the services and connector required to view change event records for database updates. Topic configuration is automatically synchronized between source and target clusters.
Configuring OAuth 2.0 for Kafka components, 4.5. OAuth 2.0 authorization mechanism", Expand section "5. An example of liveness and readiness probe configuration. Kafka Bridge provides an API for integrating HTTP-based clients with a Kafka cluster. Kafka and ZooKeeper storage types", Collapse section "2.1.3. You can specify a user name in the metadata section or use the default my-user.
If you'd like to see a complete example application that uses the techniques described in this post, check out the Persister.java in the Application blueprint on GitHub. The userOperator property contains the configuration of the User Operator. Inside the ConfigMap, the logging configuration is described using log4j2.properties.
At the next reconciliation the Cluster Operator will: If maintenance time windows are configured, the Cluster Operator will generate the new private key and CA certificate at the first reconciliation within the next maintenance time window. The rack object has one mandatory field named topologyKey. OAuth 2.0 client authentication flow, 4.4.5.1. You can then reference the configuration values in HTTP REST commands (this keeps the configuration separate and more secure, if needed).
SSDs are particularly effective with ZooKeeper, which requires fast, low latency data access. For more information about OpenShift node labels, see Well-Known Labels, Annotations and Taints. For more information on the configuration options for connecting an external client, see Configuring external listeners. Cluster configuration", Collapse section "2.4.2. Other fields from the storage configuration are currently not supported.
Messages belonging to a partition are directly appended to the tail of the log file.
For more information on how HPE manages, uses, and protects your personal data please refer to HPE Privacy Statement. AMQ Streams Operators", Expand section "1.5.
Once the partitions have been redistributed between all the brokers, the resource utilization of each broker should be reduced. If you try to manually change an operator-managed OpenShift resource, the operator will revert your changes back. KafkaAuthorizationOpa schema reference", Collapse section "B.42. Kafka broker replicas", Expand section "2.1.5.
KafkaListenerExternalLoadBalancer schema reference, B.29. Using AMQ Streams Operators", Collapse section "5. Certificate renewal and validity periods", Expand section "11.3.2. The constraint is specified as a label selector. The JBOD storage always has to contain at least one volume.
KafkaRebalanceSpec schema reference, B.142.
Deleting a Kafka node consists of deleting both the Pod on which the Kafka broker is running and the related PersistentVolumeClaim (if the cluster was deployed with persistent storage).
Why do I need cluster administrator privileges to install AMQ Streams? The connector configuration is passed to Kafka Connect as part of an HTTP request and stored within Kafka itself. LoadBalancerListenerBrokerOverride schema reference, B.32.
This procedure describes how to manually trigger a rolling update of an existing Kafka cluster by using an OpenShift annotation.
Kafka broker replicas", Collapse section "2.1.4. You can use the default value, for example: When the cluster is ready, open the Kafka resource, examine the status block, and copy the bootstrapServers value for later use when deploying Apicurio Registry.
AMQ Streams allows you to customize the configuration of the Kafka brokers in your Kafka cluster. KafkaListenerPlain schema reference, B.22. The template property contains the configuration of the Entity Operator pod, such as labels, annotations, affinity, and tolerations. Additional listener configuration options, 4.2.1.
This method applies especially to confidential data, such as usernames, passwords, or certificates.
KafkaConnectorSpec schema reference, B.132. Managing AMQ Streams", Collapse section "12. Instead, you need to add brokers to the cluster. The following properties are supported: User Operator deployment can be configured using additional options inside the userOperator object. Scheduling pods based on other applications", Collapse section "2.1.20.1.
You can set the log levels by specifying the logger and level directly (inline) or use a custom (external) ConfigMap. Kafka Connect is an integration toolkit for streaming data between Kafka brokers and other systems using Connector plugins. Consumers can subscribe to source and remote topics within the same cluster, without the need for a separate aggregation cluster.
Removing brokers from a cluster, 2.1.24.2.2. For more information on listener configuration, see the GenericKafkaListener schema reference. The logLevel property is used to specify the logging level. Configuring external listeners for client access outside OpenShift. A Kafka cluster in which CA certificates and private keys are installed. AMQ Streams creates several OpenShift resources, such as Deployments, StatefulSets, Pods, and Services, which are managed by AMQ Streams operators. Solid-state drives (SSDs), though not essential, can improve the performance of Kafka in large clusters where data is sent to and received from multiple topics asynchronously. You can manually create the reassignment JSON file if you want to move specific partitions. MirrorMaker 2.0 uses its MirrorHeartbeatConnector to emit heartbeats that perform these checks.
The Topic Operator does not currently support reassigning replicas to different brokers, so it is necessary to connect directly to broker pods to reassign replicas to brokers. Custom span names in a Decorator pattern, 10.3.2. The values can be described using one of the following JSON types: Users can specify and configure the options listed in ZooKeeper documentation with the exception of those options which are managed directly by AMQ Streams.
Maintenance time windows allow you to schedule such spontaneous rolling updates of your Kafka and ZooKeeper clusters to start at a convenient time.
KafkaMirrorMaker2Spec schema reference, B.135.
You can obtain various metrics about each Kafka broker, for example, usage data such as the BytesPerSecond value or the request rate of the network of the broker. Kafka Connect/S2I cluster configuration", Collapse section "2.2. KafkaMirrorMakerTls schema reference", Collapse section "B.117. Kafka rack awareness", Expand section "2.1.15. You configure maintenance time windows by entering an array of strings in the Kafka.spec.maintenanceTimeWindows property.
Usually, the nodes are labeled with topology.kubernetes.io/zone label (or failure-domain.beta.kubernetes.io/zone on older OpenShift versions) that can be used as the topologyKey value.
Configuring Kafka Connect user authorization, 2.2.4. ExternalServiceTemplate schema reference, B.59. Kafka topic that stores connector and task status updates. The primary way of increasing throughput for a topic is to increase the number of partitions for that topic. This is not only convenient for the developer but also minimizes the work required to transform streaming records into persistable objects. To avoid a detrimental impact on clients, you can throttle the reassignment process. Port number used by the listener inside Kafka.
Session re-authentication for Kafka brokers, 4.4.4. A Kafka cluster using persistent volumes created using a storage class that supports volume expansion. Edit the affinity property in the resource specifying the cluster deployment. Ephemeral storage", Expand section "2.1.3.2. Kafka streams are characterized by a retention period that defines the point at which messages will be permanently deleted.
For more information on broker configuration, see the KafkaClusterSpec schema. 
ZooKeeper replicas", Expand section "2.1.8.
Replication factor for mirrored topics created at the target cluster.
table.insertOrReplace(tick.getTradeSequenceNumber(), document); Sign up for the HPE Developer Newsletter or visit the, https://www.hpe.com/us/en/software/data-fabric.html. The data types which can be used with persistent volume claims include many types of SAN storage as well as Local persistent volumes. Kafka Connect provides a framework for integrating Kafka with an external data source or target, such as a database, for import or export of data using connectors. Restricting access to Kafka listeners using network policies, 4.4.
In the spec.kafka.config property in the Kafka resource, enter one or more Kafka configuration settings.
You must decide which partitions to move from the existing brokers to the new broker.
In this situation, you might not want automatic renaming of remote topics.
Performing a rolling update of a ZooKeeper cluster, 2.1.24.1.2.
Listeners are used to connect to Kafka brokers.
The Entity Operator is responsible for managing Kafka-related entities in a running Kafka cluster. We can insert each JSON document as a new row to a table in MapR Database with one line of code, like this: The first parameter in the insertOrReplace method is Document ID (or rowkey). You can specify properties to configure internal listeners for connecting within the OpenShift cluster, or external listeners for connecting outside the OpenShift cluster. KafkaMirrorMakerStatus schema reference, B.124. Select the nodes which should be used as dedicated. KafkaClientAuthenticationTls schema reference, B.83. GenericSecretSource schema reference, B.15.
Provisioning Role-Based Access Control (RBAC), 5.2.1.1. Edit the replicas property in the Kafka resource.
For more information about setting up and deploying Prometheus and Grafana, see Introducing Metrics to Kafka in the Deploying and Upgrading AMQ Streams on OpenShift guide. The template property is supported in the following resources.
AMQ Streams supports opening a password and username protected JMX port or a non-protected JMX port.
Edit the spec properties for the KafkaMirrorMaker resource. If you are going to throttle replication you can also pass the --throttle option with an inter-broker throttled rate in bytes per second. Generic listener configuration replaces the previous approach to listener configuration using the KafkaListeners schema reference, which is deprecated. Use the logging property to configure loggers and logger levels. Using AMQ Streams Operators", Expand section "5.1. A Kafka cluster with JBOD storage with two or more volumes. Recovery from loss of an OpenShift cluster, 12.3.3. The main decision to make when deploying Apicurio Registry is which storage backend to use. Using OAuth 2.0 token-based authorization", Collapse section "4.5. GenericKafkaListenerConfiguration schema reference, B.16.
In the spec.zookeeper.config property in the Kafka resource, enter one or more ZooKeeper configuration settings.
For example, to move all the partitions of topic-a and topic-b to brokers 4 and 7. Most Kafka CLI tools can connect directly to Kafka. The best number of brokers for your cluster has to be determined based on your specific use case. For example: This command will print out two reassignment JSON objects. KafkaConnectTls schema reference", Collapse section "B.81. Kafka producer configuration tuning", Expand section "12.4.2.
Use Kafka Connect to set up external data connections to your Kafka cluster. OAuth 2.0 Kafka broker configuration", Expand section "4.4.5.
Kafka broker configuration", Collapse section "2.1.5. A heartbeat internal topic checks connectivity between clusters. Alternatively, some of the existing labels might be reused. This procedure describes how to authorize user access to Kafka Connect. Resource limits currently supported by AMQ Streams: A resource may be configured for one or more supported limits.
Kafka MirrorMaker cluster configuration", Collapse section "2.3. Identifying a Kafka cluster for user handling, 4.2.3.2.
For example: Apply the new configuration to create or update the resource. Scheduling pods based on other applications", Expand section "2.1.20.2. KafkaMirrorMakerSpec schema reference", Collapse section "B.115. This procedure shows a configuration that uses TLS encryption and authentication for the source and target cluster. For example: A sidecar is a container that runs in a pod but serves a supporting purpose. Maintenance time windows must therefore be at least this long. In that case, you must manually create the Openshift secrets that the Apicurio Registry Operator expects. Edit the livenessProbe or readinessProbe property in the Kafka resource. Click Workloads and then Secrets to find two secrets that Strimzi creates for Apicurio Registry to connect to the Kafka cluster: my-cluster-cluster-ca-cert - contains the PKCS12 truststore for the Kafka cluster. This is standard Kafka API stuff, and it looks like this: Before we write consumer records to the database, we need to put each record in a format that has columns. The rack awareness feature in AMQ Streams helps to spread the Kafka broker pods and Kafka topic replicas across different racks. KafkaMirrorMakerSpec schema reference, B.115.2. Changes to both external and inline logging levels will be applied to Kafka brokers without a restart.
The following components of AMQ Streams run inside a Virtual Machine (VM): JVM configuration options optimize the performance for different platforms and architectures. Here we see examples of inline and external logging.
Avoiding data loss or duplication when committing offsets", Collapse section "12.4.2.5. Super user access to Kafka brokers, 4.3.3.
To reassign a partition to a specific volume, add the log_dirs option to
Kafka MirrorMaker 2.0 cluster configuration", Expand section "2.4.2.
A.1.1. See the Deploying and Upgrading AMQ Streams on OpenShift guide for instructions on running a: Find the name of the StatefulSet that controls the Kafka pods you want to manually update. With the abortOnSendFailure property set to false, the producer attempts to send the next message in a topic. Topic Operator configuration properties, 2.1.10.3.
Optimizing throughput and latency, 12.4.2.5. An OpenShift cluster with support for volume resizing. A cipher suite combines algorithms for secure connection and data transfer. Add or edit the maintenanceTimeWindows property in the Kafka resource.
You can configure JMX options by using the jmxOptions property in the following resources: You can configure username and password protection for the JMX port that is opened on the Kafka brokers.
Offsets for the checkpoint topic are tracked at predetermined intervals through configuration. To increase the volume size allocated to the ZooKeeper cluster, edit the spec.zookeeper.storage property.
KafkaMirrorMakerConsumerSpec schema reference", Collapse section "B.116. The recommended pattern is for messages to be produced locally alongside the source Kafka cluster, then consumed remotely close to the target Kafka cluster.
If maintenance time windows are not configured for a cluster then it is possible that such spontaneous rolling updates will happen at an inconvenient time, such as during a predictable period of high load. For more information about GC logging, see, For more information about log levels, see, For more information about managing computing resources on OpenShift, see, For more information on CPU specification, see the, For more details about memory specification and additional supported units, see, For more information about the schema, see, Garbage collector (GC) logging can also be enabled (or disabled).
Performing oc operations on custom resources, 12.1.1.2.
This is challenging in situations where rapidly ingested data creates pressure on stream consumers designed to write streaming records to a database.
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