Sink CRD configurations
This document lists CRD configurations available for Pulsar sink connectors. The sink CRD configurations consist of sink connector configurations and the common CRD configurations.
This table lists sink configurations.
|The connector name is a string of up to |
|The class name of a sink connector.|
|The tenant of a sink connector.|
|The Pulsar namespace of a sink connector.|
|The Pulsar cluster of a sink connector.|
|The number of instances that you want to run for this sink connector. If no value is set, the system will set it to |
|The minimum number of instances that you want to run for this sink connector. If no value is set, the system will set it to |
|The image for installing the init container that is used to download packages or functions from Pulsar if the download path is specified.|
|The maximum number of instances that you want to run for this sink connector. When the value of the |
|The sink connector configurations in YAML format.|
|The message timeout in milliseconds.|
|The number of redelivered messages due to negative acknowledgement.|
|Whether or not the framework acknowledges messages automatically. This field is required. You can set it to |
|How many times to process a message before giving up.|
|The processing guarantees (delivery semantics) applied to the sink connector. Available values: |
|The sink connector consumes and processes messages in order.|
|The topic where all messages that were not processed successfully are sent.|
|The subscription name of the sink connector if you want a specific subscription-name for the input-topic consumer.|
|Configure whether to clean up subscriptions.|
|The subscription position.|
|The configurations about the Pulsar cluster. For details, see messaging.|
In Kubernetes, an annotation defines an unstructured Key Value Map (KVM) that can be set by external tools to store and retrieve metadata.
annotations must be a map of string keys and string values. Annotation values must pass Kubernetes annotations validation. For details, see Kubernetes documentation on Annotations.
This example shows how to use an annotation to make an object unmanaged. Therefore, the Controller will skip reconciling unmanaged objects in reconciliation loop.
This section describes image options available for Pulsar sink CRDs.
The base runner is an image base for other runners. The base runner is located at
./pulsar-functions-base-runner. The base runner image contains basic tool-chains like
/pulsar/lib to ensure that the
pulsar-admin CLI tool works properly to support Apache Pulsar Packages.
Function Mesh uses runner images as images of Pulsar connectors. Each runner image only contains necessary tool-chains and libraries for specified runtime.
Pulsar connectors support using the Java runner images as their images. The Java runner is based on the base runner and contains the Java function instance to run Java functions or connectors. The
streamnative/pulsar-functions-java-runner Java runner is stored at the Docker Hub and is automatically updated to align with Apache Pulsar release.
Image pull policies
When the Function Mesh Operator creates a container, it uses the
imagePullPolicy option to determine whether the image should be pulled prior to starting the container. There are three possible values for the
|Always pull the image.|
|Never pull the image.|
|Only pull the image if the image does not already exist locally.|
Function Mesh provides Pulsar cluster configurations in the Function, Source, and Sink CRDs. You can configure TLS encryption, TLS authentication, and OAuth2 authentication using the following configurations.
tlsSecretare exclusive. If you configure TLS configurations, the TLS Secret will not take effect.
|The authentication configurations of the Pulsar cluster. Currently, you can only configure OAuth2 authentication through this field. For other authentication methods, you can configure them using the |
|The name of the authentication ConfigMap that stores authentication configurations of the Pulsar cluster.|
|The name of the ConfigMap that stores Pulsar cluster configurations.|
|The TLS configurations of the Pulsar cluster.|
|The name of the TLS ConfigMap that stores TLS configurations of the Pulsar cluster.|
Function Mesh provides the following fields for stateful configurations in the CRD definition.
|The state storage configuration for the sink connector.|
|The service URL that points to the state storage service. By default, the state storage service is the BookKeeper table service.|
|(Optional) If you want to overwrite the default configuration, you can use the state storage configuration for the Java runtime. For example, you can change it to other backend services other than the BookKeeper table service.|
|The Java class name of the state storage provider implementation. The class must implement the |
|The configurations that are passed to the state storage provider.|
The input topics of a Pulsar Function. The following table lists options available for the
|The configuration of the topic from which messages are fetched.|
|The map of input topics to SerDe class names (as a JSON string).|
|The map of input topics to Schema class names (as a JSON string).|
|The map of source specifications to consumer specifications. Consumer specifications include these options: |
When you specify a function or connector, you can optionally specify how much of each resource they need. The resources available to specify are CPU and memory (RAM).
If the node where a Pod is running has enough of a resource available, it is possible (and allowed) for a Pod to use more resources than its
request for that resource. However, a Pod is not allowed to use more than its resource
Function Mesh provides the
secretsMap field for Function, Source, and Sink in the CRD definition. You can refer to the created secrets under the same namespace and the controller can include those referred secrets. The secrets are provide by
EnvironmentBasedSecretsProvider, which can be used by
context.getSecret() in Pulsar functions and connectors.
secretsMap field is defined as a
Map struct with
String keys and
SecretReference values. The key indicates the environment value in the container, and the
SecretReference is defined as below.
|The name of the secret in the Pod's namespace to select from.|
|The key of the secret to select from. It must be a valid secret key.|
Suppose that there is a Kubernetes Secret named
credential-secret defined as below:
To use it in Pulsar Functions in a secure way, you can define the
secretsMap in the Custom Resource:
Then, in the Pulsar Functions and Connectors, you can call
context.getSecret("username") to get the secret value (
Function Mesh supports running Pulsar connectors in Java.
|The path to the JAR file for the connector.|
|It specifies JVM options to better configure JVM behaviors, including |
|It specifies the dependent directory for the JAR package.|
In Function Mesh, the Pulsar cluster is defined through a ConfigMap. Pods can consume ConfigMaps as environment variables in a volume. The Pulsar cluster ConfigMap defines the Pulsar cluster URLs.
|The Web service URL of the Pulsar cluster.|
|The broker service URL of the Pulsar cluster.|
To enable health checks, you need to create a PVC and a PV, and bind the PVC to the PV. Then, you can use the
--set controllerManager.grpcurlPersistentVolumeClaim=<your_pvc_name>option to specify the PVC when installing the Function Mesh Operator.
With the Kubernetes liveness probe, Function Mesh supports monitoring and acting on the state of Pods (Containers) to ensure that only healthy Pods serve traffic. Implementing health checks using probes provides Function Mesh a solid foundation, better reliability, and higher uptime.
initialDelaySeconds: 10 # --- 
periodSeconds: 10 # --- 
# Other configs
initialDelaySeconds: specify the time that should wait before performing the first liveness probe.
periodSeconds: specify the frequency to perform a liveness probe.
For more information about probe types, probe check mechanisms, and probe parameters, see Kubernetes documentation on Pod lifecycle and configure probes.
Function Mesh supports customizing the Pod running Pulsar connectors. This table lists sub-fields available for the
|Specify labels attached to a Pod.|
|Specify the liveness probe properties for a Pod. |
For details, see health checks.
|Specify a map of key-value pairs. For a Pod running on a node, the node must have each of the indicated key-value pairs as labels.|
|Specify the scheduling constraints of a Pod.|
|Specify the tolerations of a Pod.|
|Specify the annotations attached to a Pod.|
|Specify the security context for a Pod.|
|The amount of time that Kubernetes gives for a Pod before terminating it.|
|A list of volumes that can be mounted by containers belonging to a Pod.|
|An optional list of references to secrets in the same namespace for pulling any of the images used by a Pod.|
|Specify the name of the service account that is used to run Pulsar Functions or connectors in the Function Mesh Worker service.|
|The initialization containers belonging to a Pod. A typical use case could be using an initialization container to download a remote JAR to a local path.|
|Sidecar containers run together with the main function container in a Pod.|
|Specify the built-in autoscaling rules. |
If you configure the
|Specify how to scale based on customized metrics defined in connectors. For details, see MetricSpec v2beta2 autoscaling.|
|Configure the scaling behavior of the target in both up and down directions (|
|Specify the environment variables to expose on the containers. It is a key/value map. You can either use the |