I have MSK running on AWS and I'd like to consume information using AWS_MSK_IAM authentication.
My MSK is properly configured and I can consume the information using Kafka CLI with the following command:
../bin/kafka-console-consumer.sh --bootstrap-server b-1.kafka.*********.***********.amazonaws.com:9098 --consumer.config client_auth.properties --topic TopicTest --from-beginning
My client_auth.properties has the following information:
# Sets up TLS for encryption and SASL for authN.
security.protocol = SASL_SSL
# Identifies the SASL mechanism to use.
sasl.mechanism = AWS_MSK_IAM
# Binds SASL client implementation.
sasl.jaas.config = software.amazon.msk.auth.iam.IAMLoginModule required;
# Encapsulates constructing a SigV4 signature based on extracted credentials.
# The SASL client bound by "sasl.jaas.config" invokes this class.
sasl.client.callback.handler.class = software.amazon.msk.auth.iam.IAMClientCallbackHandler
When I try to consume from my Databricks cluster using spark, I receive the following error:
Caused by: kafkashaded.org.apache.kafka.common.KafkaException: java.lang.ClassCastException: software.amazon.msk.auth.iam.IAMClientCallbackHandler cannot be cast to kafkashaded.org.apache.kafka.common.security.auth.AuthenticateCallbackHandler
The libraries I'm using in the cluster:
And the code I'm running on Databricks:
raw = (
spark
.readStream
.format('kafka')
.option('kafka.bootstrap.servers', 'b-.kafka.*********.***********.amazonaws.com:9098')
.option('subscribe', 'TopicTest')
.option('startingOffsets', 'earliest')
.option('kafka.sasl.mechanism', 'AWS_MSK_IAM')
.option('kafka.security.protocol', 'SASL_SSL')
.option('kafka.sasl.jaas.config', 'software.amazon.msk.auth.iam.IAMLoginModule required;')
.option('kafka.sasl.client.callback.handler.class', 'software.amazon.msk.auth.iam.IAMClientCallbackHandler')
.load()
)