[Bug]: Potential performance regression in KafkaIO and schema registry

What needs to happen?

"I am trying to understand the effect of schema registry on our pipeline's performance. In order to do sowe created a very simple pipeline that reads from kafka, runs a simple transformation of adding new field and writes of kafka. the messages are in avro format

I ran this pipeline with 3 different options on same configuration : 1 kafka partition, 1 task manager, 1 slot, 1 parallelism:

when i used apicurio as the schema registry i was able to process only 2000 messages per second
when i used confluent schema registry i was able to process 7000 messages per second
when I did not use any schema registry and used plain avro deserializer/serializer i was able to process 30K messages per second.

KafkaIO.<String, T>read()
        .withBootstrapServers(bootstrapServers)
        .withTopic(topic)
        .withConsumerConfigUpdates(Map.ofEntries(
                Map.entry("schema.registry.url", registryURL),
                Map.entry(ConsumerConfig.GROUP_ID_CONFIG, consumerGroup+ UUID.randomUUID()),
        ))
        .withKeyDeserializer(StringDeserializer.class)
        .withValueDeserializerAndCoder((Class) io.confluent.kafka.serializers.KafkaAvroDeserializer.class, AvroCoder.of(avroClass));

I have made the suggested change and used ConfluentSchemaRegistryDeserializerProvider the results are slightly better.. average of 8000 msg/sec "

We need to investigate and find out the cause of this performance issue.

Issue Priority

Priority: 2 (default / most normal work should be filed as P2)

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apache / beam