Source CRD configurations
This document lists CRD configurations available for Pulsar source connectors. The source CRD configurations consist of source connector configurations and the common CRD configurations.
Source configurations
This table lists source configurations.
Field | Description |
---|---|
name | The connector name is a string of up to 43 characters. |
classname | The class name of a source connector. |
tenant | The tenant of a source connector. |
namespace | The Pulsar namespace of a source connector. |
clusterName | The Pulsar cluster of a source connector. |
replicas | The number of instances that you want to run for a source connector. If it is set to 0 , it means to stop the source connector. When HPA is enabled, you cannot set the replicas parameter to 0 or a negative number. |
ShowPreciseParallelism | Configure whether to show the precise parallelism. If it is set to true , the Parallelism is equal to value of the replicas parameter. In this situation, when you update the value of the replicas parameter, it will cause all Pods to be recreated. By default, it is set to false . |
minReplicas | The minimum number of instances that you want to run for a source connector. If it is set to 0 , it means to stop the source connector. By default, it is set to 1 . When HPA auto-scaling is enabled, the HPA controller scales the Pods up / down based on the values of the minReplicas and maxReplicas options. The number of the Pods should be greater than the value of the minReplicas and be smaller than the value of the maxReplicas . |
downloaderImage | The image for installing the init container that is used to download packages or functions from Pulsar if the download path is specified. |
maxReplicas | The maximum number of instances that you want to run for this source connector. When the value of the maxReplicas parameter is greater than the value of replicas , it indicates that the source controller automatically scales the source connector based on the CPU usage. By default, maxReplicas is set to 0, which indicates that auto-scaling is disabled. |
sourceConfig | The source connector configurations in YAML format. |
processingGuarantee | The processing guarantees (delivery semantics) applied to the source connector. Available values: atleast_once , atmost_once , effectively_once . |
forwardSourceMessageProperty | Configure whether to pass message properties to a target topic. |
batchSourceConfig | The batch source configurations in YAML format. You can configure the following properties. - discoveryTriggererClassName : the class that is used for triggering the discovery process. - discoveryTriggererConfig : the configurations that are required for initiating the discovery Triggerer. |
pulsar | The configurations of the Pulsar cluster. For details, see messaging. |
Annotations
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.
apiVersion: compute.functionmesh.io/v1alpha1
kind: Source
metadata:
annotations:
compute.functionmesh.io/managed: "false"
Images
This section describes image options available for Pulsar source CRDs.
Base runner
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/bin
, /pulsar/conf
and /pulsar/lib
to ensure that the pulsar-admin
CLI tool works properly to support Apache Pulsar Packages.
Runner images
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 imagePullPolicy
option:
Field | Description |
---|---|
Always | Always pull the image. |
Never | Never pull the image. |
IfNotPresent | Only pull the image if the image does not already exist locally. |
Messaging
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.
Note
The
tlsConfig
andtlsSecret
are exclusive. If you configure TLS configurations, the TLS Secret will not take effect.
Field | Description |
---|---|
authConfig | The authentication configurations of the Pulsar cluster. Currently, you can only configure generic authentication and OAuth2 authentication through this field. For other authentication methods, you can configure them using the authSecret field. Generic authentication
OAuth2 authentication
|
authSecret | The name of the authentication ConfigMap that stores authentication configurations of the Pulsar cluster.
|
pulsarConfig | The name of the ConfigMap that stores Pulsar cluster configurations.
|
tlsConfig | The TLS configurations of the Pulsar cluster.
|
tlsSecret | The name of the TLS ConfigMap that stores TLS configurations of the Pulsar cluster.
|
State storage
Function Mesh provides the following fields for stateful configurations in the CRD definition.
Field | Description |
---|---|
statefulConfig | The state storage configuration for the source connector. |
statefulConfig.pulsar.serviceUrl | The service URL that points to the state storage service. By default, the state storage service is the BookKeeper table service. |
statefulConfig.pulsar.javaProvider | (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. |
statefulConfig.pulsar.javaProvider.className | The Java class name of the state storage provider implementation. The class must implement the org.apache.pulsar.functions.instance.state.StateStoreProvider interface. If not, org.apache.pulsar.functions.instance.state.BKStateStoreProviderImpl will be used. |
statefulConfig.pulsar.javaProvider.config | The configurations that are passed to the state storage provider. |
Output
The output topics of a Pulsar Function. This table lists options available for the Output
.
Name | Description |
---|---|
topics | The output topic of a Pulsar Function (If none is specified, no output is written). |
sinkSerdeClassName | The map of output topics to SerDe class names (as a JSON string). |
sinkSchemaType | The built-in schema type or custom schema class name to be used for messages sent by the function. |
producerConf | The producer specifications. Available options: - maxPendingMessages : the maximum number of pending messages. - maxPendingMessagesAcrossPartitions : the maximum number of pending messages across partitions. - useThreadLocalProducers : configure whether the producer uses a thread. - cryptoConfig : cryptography configurations of the producer. - batchBuilder : support key-based batcher. |
customSchemaSinks | The map of output topics to Schema class names (as a JSON string). |
Resources
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's 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 limit
.
Secrets
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.
The 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.
Field | Description |
---|---|
path | The name of the secret in the Pod's namespace to select from. |
key | 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:
apiVersion: v1
data:
username: foo
password: bar
kind: Secret
metadata:
name: credential-secret
type: Opaque
To use it in Pulsar Functions in a secure way, you can define the secretsMap
in the Custom Resource:
secretsMap:
username:
path: credential-secret
key: username
password:
path: credential-secret
key: password
Then, in the Pulsar Functions and Connectors, you can call context.getSecret("username")
to get the secret value (foo
).
Packages
Function Mesh supports running Pulsar connectors in Java.
Field | Description |
---|---|
jarLocation | The path to the JAR file for the connector. |
javaOpts | It specifies JVM options to better configure JVM behaviors, including exitOnOOMError , Garbage Collection logs, Garbage Collection tuning, and so on. |
extraDependenciesDir | It specifies the dependent directory for the JAR package. |
Cluster location
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.
Field | Description |
---|---|
webServiceURL | The Web service URL of the Pulsar cluster. |
brokerServiceURL | The broker service URL of the Pulsar cluster. |
Health checks
Note
To enable health checks, you need to create a PVC and a PV, and bind the PVC to the PV.
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.
apiVersion: compute.functionmesh.io/v1alpha1
kind: Function
metadata:
name: health-check-sample
namespace: default
spec:
image: streamnative/pulsar-functions-java-sample:2.9.2.23
className: org.apache.pulsar.functions.api.examples.ExclamationFunction
forwardSourceMessageProperty: true
maxPendingAsyncRequests: 1000
replicas: 1
maxReplicas: 5
logTopic: persistent://public/default/logging-function-logs
pod:
liveness:
failureThreshold: # --- [1]
initialDelaySeconds: 10 # --- [2]
periodSeconds: 10 # --- [3]
successThreshold: 1 # --- [4]
...
# Other configs
- [1]
failureThreshold
: specify the times to restart a failed probe before giving up the probe. By default, it is set to3
. - [2]
initialDelaySeconds
: specify the time that should wait before performing the first liveness probe. - [3]
periodSeconds
: specify the frequency to perform a liveness probe. - [4]
successThreshold
: specify the minimum consecutive successes for the probe to be considered successful after having failed. By default, it is set to1
.
For more information about probe types, probe check mechanisms, and probe parameters, see Kubernetes documentation on Pod lifecycle and configure probes.
Security context
A security context defines privilege and access control settings for a Pod. By default, Function Mesh uses the following PodSecurityContext
as the default value and applies to every function's Pod.
podSecurityContext:
fsGroup: 10001
runAsGroup: 10001
runAsNonRoot: false
runAsUser: 10000
seccompProfile:
type: "RuntimeDefault"
Apart from the PodSecurityContext
, Function Mesh also applies the following SecurityContext
to the Function's container to ensure the Pod Security Standard follows the restricted specification.
SecurityContext:
capabilities:
drop:
- ALL
allowPrivilegeEscalation: false
Field | Description |
---|---|
fsGroup | A special supplemental group that applies to all containers in a Pod. |
fsGroupChangePolicy | Define the behavior of changing ownership and permission of the volume before being exposed inside a Pod. This field only applies to volume types that support fsGroup -based ownership and permissions. |
runAsGroup | The Group ID (GID) that is used to run the entry point of the container process. If it is unset, the runtime is used. |
runAsNonRoot | Indicate that the container must run as a non-root user. If it is set to true , the system will validate the image at runtime to ensure that it does not run as a root user (User ID 0) and fail to start the container if it does. If it is unset or is set to false , no such validation will be performed. |
runAsUser | The User ID (UID) that is used to run the entry point of the container process. |
seLinuxOptions | The SELinux context that is applied to a container. |
seccompProfile | The seccomp options that is used by a container. |
supplementalGroups | A list of groups that is applied to the first process running in each container, in addition to the container's primary GID, the fsGroup (if specified), and group memberships defined in the container image for the UID of the container process. |
sysctls | Sysctls hold a list of namespaced sysctls used for the Pod. |
windowsOptions | The windows-specific settings that are applied to all containers. |
allowPrivilegeEscalation | Control whether a process can gain more privileges than its parent process. |
capabilities | The capabilities to add/drop when running a container. |
privileged | Run the container in privileged or unprivileged mode. |
procMount | The type of proc mount that is used by a container. |
readOnlyRootFilesystem | Mount the container's root filesystem as read-only. |
Pod specifications
Function Mesh supports customizing the Pod running connectors. This table lists sub-fields available for the pod
field.
Field | Description |
---|---|
labels | Specify labels attached to a Pod. |
liveness | Specify the liveness probe properties for a Pod.
For details, see health checks. |
nodeSelector | 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. |
affinity | Specify the scheduling constraints of a Pod. |
tolerations | Specify the tolerations of a Pod. |
annotations | Specify the annotations attached to a Pod. |
securityContext | Specify the security context for a Pod. For details, see [security context](#security-context). |
terminationGracePeriodSeconds | The amount of time that Kubernetes gives for a Pod before terminating it. |
volumes | A list of volumes that can be mounted by containers belonging to a Pod. |
imagePullSecrets | An optional list of references to secrets in the same namespace for pulling any of the images used by a Pod. |
serviceAccountName | Specify the name of the service account that is used to run Pulsar Functions or connectors. |
initContainers | 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. |
sidecars | Sidecar containers run together with the main function container in a Pod. |
builtinAutoscaler | Specify the built-in autoscaling rules.
If you configure the |
autoScalingMetrics | Specify how to scale based on customized metrics defined in connectors. For details, see MetricSpec v2 autoscaling. |
autoScalingBehavior | Configure the scaling behavior of the target in both up and down directions (scaleUp and scaleDown fields respectively). If not specified, the default Kubernetes scaling behaviors are adopted. For details, see HorizontalPodAutoscalerBehavior v2 autoscaling. |
env | Specify the environment variables to expose on the containers. It is a key/value map. You can either use the value option to specify a particular value for the environment variable or use the valueFrom option to specify the source for the environment variable's value, as shown below.
|