Chapter 119. KafkaMirrorMakerSpec schema reference Used in: KafkaMirrorMaker Full list of KafkaMirrorMakerSpec schema properties Configures Kafka MirrorMaker. 119.1. include Use the include property to configure a list of topics that Kafka MirrorMaker mirrors from the source to the target Kafka cluster. The property allows any regular expression from the simplest case with a single topic name to complex patterns. For example, you can mirror topics A and B using A|B or all topics using * . You can also pass multiple regular expressions separated by commas to the Kafka MirrorMaker. 119.2. KafkaMirrorMakerConsumerSpec and KafkaMirrorMakerProducerSpec Use the KafkaMirrorMakerConsumerSpec and KafkaMirrorMakerProducerSpec to configure source (consumer) and target (producer) clusters. Kafka MirrorMaker always works together with two Kafka clusters (source and target). To establish a connection, the bootstrap servers for the source and the target Kafka clusters are specified as comma-separated lists of HOSTNAME:PORT pairs. Each comma-separated list contains one or more Kafka brokers or a Service pointing to Kafka brokers specified as a HOSTNAME:PORT pair. 119.3. logging Kafka MirrorMaker has its own configurable logger: mirrormaker.root.logger MirrorMaker uses the Apache log4j logger implementation. Use the logging property to configure loggers and logger levels. You can set the log levels by specifying the logger and level directly (inline) or use a custom (external) ConfigMap. If a ConfigMap is used, you set logging.valueFrom.configMapKeyRef.name property to the name of the ConfigMap containing the external logging configuration. Inside the ConfigMap, the logging configuration is described using log4j.properties . Both logging.valueFrom.configMapKeyRef.name and logging.valueFrom.configMapKeyRef.key properties are mandatory. A ConfigMap using the exact logging configuration specified is created with the custom resource when the Cluster Operator is running, then recreated after each reconciliation. If you do not specify a custom ConfigMap, default logging settings are used. If a specific logger value is not set, upper-level logger settings are inherited for that logger. For more information about log levels, see Apache logging services . Here we see examples of inline and external logging. The inline logging specifies the root logger level. You can also set log levels for specific classes or loggers by adding them to the loggers property. apiVersion: kafka.strimzi.io/v1beta2 kind: KafkaMirrorMaker spec: # ... logging: type: inline loggers: mirrormaker.root.logger: INFO log4j.logger.org.apache.kafka.clients.NetworkClient: TRACE log4j.logger.org.apache.kafka.common.network.Selector: DEBUG # ... Note Setting a log level to DEBUG may result in a large amount of log output and may have performance implications. apiVersion: kafka.strimzi.io/v1beta2 kind: KafkaMirrorMaker spec: # ... logging: type: external valueFrom: configMapKeyRef: name: customConfigMap key: mirror-maker-log4j.properties # ... Garbage collector (GC) Garbage collector logging can also be enabled (or disabled) using the jvmOptions property . 119.4. KafkaMirrorMakerSpec schema properties Property Property type Description version string The Kafka MirrorMaker version. Defaults to the latest version. Consult the documentation to understand the process required to upgrade or downgrade the version. replicas integer The number of pods in the Deployment . image string The container image used for Kafka MirrorMaker pods. If no image name is explicitly specified, it is determined based on the spec.version configuration. The image names are specifically mapped to corresponding versions in the Cluster Operator configuration. consumer KafkaMirrorMakerConsumerSpec Configuration of source cluster. producer KafkaMirrorMakerProducerSpec Configuration of target cluster. resources ResourceRequirements CPU and memory resources to reserve. whitelist string The whitelist property has been deprecated, and should now be configured using spec.include . List of topics which are included for mirroring. This option allows any regular expression using Java-style regular expressions. Mirroring two topics named A and B is achieved by using the expression A|B . Or, as a special case, you can mirror all topics using the regular expression * . You can also specify multiple regular expressions separated by commas. include string List of topics which are included for mirroring. This option allows any regular expression using Java-style regular expressions. Mirroring two topics named A and B is achieved by using the expression A|B . Or, as a special case, you can mirror all topics using the regular expression * . You can also specify multiple regular expressions separated by commas. jvmOptions JvmOptions JVM Options for pods. logging InlineLogging , ExternalLogging Logging configuration for MirrorMaker. metricsConfig JmxPrometheusExporterMetrics Metrics configuration. tracing JaegerTracing , OpenTelemetryTracing The configuration of tracing in Kafka MirrorMaker. template KafkaMirrorMakerTemplate Template to specify how Kafka MirrorMaker resources, Deployments and Pods , are generated. livenessProbe Probe Pod liveness checking. readinessProbe Probe Pod readiness checking.

Commands:
apiVersion: kafka.strimzi.io/v1beta2 kind: KafkaMirrorMaker spec: # logging: type: inline loggers: mirrormaker.root.logger: INFO log4j.logger.org.apache.kafka.clients.NetworkClient: TRACE log4j.logger.org.apache.kafka.common.network.Selector: DEBUG #
apiVersion: kafka.strimzi.io/v1beta2 kind: KafkaMirrorMaker spec: # logging: type: external valueFrom: configMapKeyRef: name: customConfigMap key: mirror-maker-log4j.properties #