kafka batch azure schema registry source 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

topicIsPattern

Topic Is Pattern

Whether the topic is a pattern (regular expression). This can be used to subscribe to dynamic number of topics matching the pattern.

boolean

false

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:

  • 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:1.1.20

  • mvn:com.azure:azure-identity:1.13.2

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:kafka-batch-azure-schema-registry-source"
      parameters:
        .
        .
        .
      steps:
        - to:
            uri: "kamelet:log-sink"

You can now run it directly through the following command

camel run route.yaml