Azure Kafka Batch through Eventhubs with Azure Schema Registry Source

Provided by: "Apache Software Foundation"

Support Level for this Kamelet is: "Preview"

Receive data from Kafka topics in batch on Azure Eventhubs combined with Azure Schema Registry and commit them manually through KafkaManualCommit or auto commit.

Configuration Options

The following table summarizes the configuration options available for the kafka-batch-azure-schema-registry-source Kamelet:

Property	Name	Description	Type	Default	Example
azureRegistryUrl	Azure Schema Registry URL	Required The Apicurio Schema Registry URL.	string
bootstrapServers	Bootstrap Servers	Required Comma separated list of Kafka Broker URLs.	string
password	Password	Required Password to authenticate to kafka.	string
topic	Topic Names	Required Comma separated list of Kafka topic names.	string
allowManualCommit	Allow Manual Commit	Whether to allow doing manual commits.	boolean	false
autoCommitEnable	Auto Commit Enable	If true, periodically commit to ZooKeeper the offset of messages already fetched by the consumer.	boolean	true
autoOffsetReset	Auto Offset Reset	What to do when there is no initial offset. There are 3 enums and the value can be one of latest, earliest, none.	string	latest
batchSize	Batch Dimension	The maximum number of records returned in a single call to poll().	int	500
consumerGroup	Consumer Group	A string that uniquely identifies the group of consumers to which this source belongs.	string		my-group-id
deserializeHeaders	Automatically Deserialize Headers	When enabled the Kamelet source will deserialize all message headers to String representation.	boolean	true
maxPollIntervalMs	Max Poll Interval	The maximum delay between invocations of poll() when using consumer group management.	int
pollOnError	Poll On Error Behavior	What to do if kafka threw an exception while polling for new messages. There are 5 enums and the value can be one of DISCARD, ERROR_HANDLER, RECONNECT, RETRY, STOP.	string	ERROR_HANDLER
pollTimeout	Poll Timeout Interval	The timeout used when polling the KafkaConsumer.	int	5000
saslMechanism	SASL Mechanism	The Simple Authentication and Security Layer (SASL) Mechanism used.	string	PLAIN
securityProtocol	Security Protocol	Protocol used to communicate with brokers. SASL_PLAINTEXT, PLAINTEXT, SASL_SSL and SSL are supported.	string	SASL_SSL
specificAvroValueType	Specific Avro Value Type	The Specific Type Avro will have to deal with.	string		com.example.Order
valueDeserializer	Value Deserializer	Deserializer class for value that implements the Deserializer interface.	string	com.microsoft.azure.schemaregistry.kafka.avro.KafkaAvroDeserializer

Property

Name

Description

Type

Default

Example

azureRegistryUrl

Azure Schema Registry URL

Required The Apicurio Schema Registry URL.

string

bootstrapServers

Bootstrap Servers

Required Comma separated list of Kafka Broker URLs.

string

password

Password

Required Password to authenticate to kafka.

string

topic

Topic Names

Required Comma separated list of Kafka topic names.

string

allowManualCommit

Allow Manual Commit

Whether to allow doing manual commits.

boolean

false

autoCommitEnable

Auto Commit Enable

If true, periodically commit to ZooKeeper the offset of messages already fetched by the consumer.

boolean

true

autoOffsetReset

Auto Offset Reset

What to do when there is no initial offset. There are 3 enums and the value can be one of latest, earliest, none.

string

latest

batchSize

Batch Dimension

The maximum number of records returned in a single call to poll().

int

500

consumerGroup

Consumer Group

A string that uniquely identifies the group of consumers to which this source belongs.

string

my-group-id

deserializeHeaders

Automatically Deserialize Headers

When enabled the Kamelet source will deserialize all message headers to String representation.

boolean

true

maxPollIntervalMs

Max Poll Interval

The maximum delay between invocations of poll() when using consumer group management.

int

pollOnError

Poll On Error Behavior

What to do if kafka threw an exception while polling for new messages. There are 5 enums and the value can be one of DISCARD, ERROR_HANDLER, RECONNECT, RETRY, STOP.

string

ERROR_HANDLER

pollTimeout

Poll Timeout Interval

The timeout used when polling the KafkaConsumer.

int

5000

saslMechanism

SASL Mechanism

The Simple Authentication and Security Layer (SASL) Mechanism used.

string

PLAIN

securityProtocol

Security Protocol

Protocol used to communicate with brokers. SASL_PLAINTEXT, PLAINTEXT, SASL_SSL and SSL are supported.

string

SASL_SSL

specificAvroValueType

Specific Avro Value Type

The Specific Type Avro will have to deal with.

string

com.example.Order

valueDeserializer

Value Deserializer

Deserializer class for value that implements the Deserializer interface.

string

com.microsoft.azure.schemaregistry.kafka.avro.KafkaAvroDeserializer

Dependencies

At runtime, the kafka-batch-azure-schema-registry-source Kamelet relies upon the presence of the following dependencies:

mvn:org.apache.camel.kamelets:camel-kamelets-utils:4.4.4-SNAPSHOT
camel:kafka
camel:core
camel:kamelet
camel:azure-schema-registry
mvn:com.microsoft.azure:azure-schemaregistry-kafka-avro:1.1.1
mvn:com.azure:azure-data-schemaregistry-apacheavro:1.1.13
mvn:com.azure:azure-identity:1.11.1

Camel JBang usage

Prerequisites

You’ve installed JBang.
You have executed the following command:

jbang app install camel@apache/camel

Supposing you have a file named route.yaml with this content:

- route:
    from:
      uri: "kamelet:timer-source"
      parameters:
        period: 10000
        message: 'test'
      steps:
        - to:
            uri: "kamelet:log-sink"

You can now run it directly through the following command

camel run route.yaml

Camel K Environment Usage

This section describes how you can use the kafka-batch-azure-schema-registry-source.

Knative source

You can use the kafka-batch-azure-schema-registry-source Kamelet as a Knative source by binding it to a Knative object.

kafka-batch-azure-schema-registry-source-pipe.yaml

apiVersion: camel.apache.org/v1
kind: Pipe
metadata:
  name: kafka-batch-azure-schema-registry-source-pipe
spec:
  source:
    ref:
      kind: Kamelet
      apiVersion: camel.apache.org/v1
      name: kafka-batch-azure-schema-registry-source
    properties:
      azureRegistryUrl: The Azure Schema Registry URL
      bootstrapServers: The Bootstrap Servers
      password: The Password
      topic: The Topic Names
  sink:
    ref:
      kind: Channel
      apiVersion: messaging.knative.dev/v1
      name: mychannel

Prerequisite

You have Camel K installed on the cluster.

Procedure for using the cluster CLI

Save the kafka-batch-azure-schema-registry-source-pipe.yaml file to your local drive, and then edit it as needed for your configuration.

Run the source by using the following command:

kubectl apply -f kafka-batch-azure-schema-registry-source-pipe.yaml

Procedure for using the Kamel CLI

Configure and run the source by using the following command:

kamel bind channel:mychannel -p "source.azureRegistryUrl=The Azure Schema Registry URL" -p "source.bootstrapServers=The Bootstrap Servers" -p "source.password=The Password" -p "source.topic=The Topic Names" kafka-batch-azure-schema-registry-source

This command creates the Kamelet Pipe in the current namespace on the cluster.

Kafka source

You can use the kafka-batch-azure-schema-registry-source Kamelet as a Kafka source by binding it to a Kafka topic.

kafka-batch-azure-schema-registry-source-pipe.yaml

apiVersion: camel.apache.org/v1
kind: Pipe
metadata:
  name: kafka-batch-azure-schema-registry-source-pipe
spec:
  source:
    ref:
      kind: Kamelet
      apiVersion: camel.apache.org/v1
      name: kafka-batch-azure-schema-registry-source
    properties:
      azureRegistryUrl: The Azure Schema Registry URL
      bootstrapServers: The Bootstrap Servers
      password: The Password
      topic: The Topic Names
  sink:
    ref:
      kind: KafkaTopic
      apiVersion: kafka.strimzi.io/v1beta1
      name: my-topic

Prerequisites

You’ve installed Strimzi.
You’ve created a topic named my-topic in the current namespace.
You have Camel K installed on the cluster.

Procedure for using the cluster CLI

Save the kafka-batch-azure-schema-registry-source-pipe.yaml file to your local drive, and then edit it as needed for your configuration.

Run the source by using the following command:

kubectl apply -f kafka-batch-azure-schema-registry-source-pipe.yaml

Procedure for using the Kamel CLI

Configure and run the source by using the following command:

kamel bind kafka.strimzi.io/v1beta1:KafkaTopic:my-topic -p "source.azureRegistryUrl=The Azure Schema Registry URL" -p "source.bootstrapServers=The Bootstrap Servers" -p "source.password=The Password" -p "source.topic=The Topic Names" kafka-batch-azure-schema-registry-source

This command creates the Kamelet Pipe in the current namespace on the cluster.

Kamelet source file

https://github.com/apache/camel-kamelets/blob/main/kamelets/kafka-batch-azure-schema-registry-source.kamelet.yaml