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https://issues.apache.org/jira/browse/FLINK-8983?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16512660#comment-16512660
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ASF GitHub Bot commented on FLINK-8983:
---------------------------------------

Github user tillrohrmann commented on a diff in the pull request:

    https://github.com/apache/flink/pull/6083#discussion_r195469740
  
    --- Diff: 
flink-end-to-end-tests/flink-confluent-schema-registry/src/main/java/AvroDeserializationConfluentSchema.java
 ---
    @@ -0,0 +1,85 @@
    +/*
    + * Licensed to the Apache Software Foundation (ASF) under one or more
    + * contributor license agreements.  See the NOTICE file distributed with
    + * this work for additional information regarding copyright ownership.
    + * The ASF licenses this file to You under the Apache License, Version 2.0
    + * (the "License"); you may not use this file except in compliance with
    + * the License.  You may obtain a copy of the License at
    + *
    + *    http://www.apache.org/licenses/LICENSE-2.0
    + *
    + * Unless required by applicable law or agreed to in writing, software
    + * distributed under the License is distributed on an "AS IS" BASIS,
    + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    + * See the License for the specific language governing permissions and
    + * limitations under the License.
    + */
    +
    +import org.apache.flink.api.common.serialization.DeserializationSchema;
    +import org.apache.flink.api.common.typeinfo.TypeInformation;
    +
    +import com.fasterxml.jackson.databind.ObjectMapper;
    +import io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient;
    +import io.confluent.kafka.schemaregistry.client.SchemaRegistryClient;
    +import io.confluent.kafka.serializers.AbstractKafkaAvroSerDeConfig;
    +import io.confluent.kafka.serializers.KafkaAvroDecoder;
    +import org.apache.avro.generic.GenericData;
    +import tech.allegro.schema.json2avro.converter.JsonAvroConverter;
    +
    +import java.io.IOException;
    +
    +/**
    + * The deserialization schema for the Avro type.
    + */
    +public class AvroDeserializationConfluentSchema<T> implements 
DeserializationSchema<T> {
    +
    +   private static final long serialVersionUID = 1L;
    +
    +   private Class<T> avroType;
    +   private final String schemaRegistryUrl;
    +   private final int identityMapCapacity;
    +   private KafkaAvroDecoder kafkaAvroDecoder;
    +
    +   private ObjectMapper mapper;
    +
    +   private JsonAvroConverter jsonAvroConverter;
    +
    +   public AvroDeserializationConfluentSchema(Class<T> avroType, String 
schemaRegistyUrl) {
    +           this(avroType, schemaRegistyUrl, 
AbstractKafkaAvroSerDeConfig.MAX_SCHEMAS_PER_SUBJECT_DEFAULT);
    +   }
    +
    +   public AvroDeserializationConfluentSchema(Class<T> avroType, String 
schemaRegistryUrl, int identityMapCapacity) {
    +           this.avroType = avroType;
    +           this.schemaRegistryUrl = schemaRegistryUrl;
    +           this.identityMapCapacity = identityMapCapacity;
    +   }
    +
    +   @Override
    +   public T deserialize(byte[] message) throws IOException {
    +           if (kafkaAvroDecoder == null) {
    +                   SchemaRegistryClient schemaRegistryClient = new 
CachedSchemaRegistryClient(this.schemaRegistryUrl, this.identityMapCapacity);
    +                   this.kafkaAvroDecoder = new 
KafkaAvroDecoder(schemaRegistryClient);
    --- End diff --
    
    Why do we use the `KafkaAvroDecoder` instead of the `KafkaAvroDeserializer`?


> End-to-end test: Confluent schema registry
> ------------------------------------------
>
>                 Key: FLINK-8983
>                 URL: https://issues.apache.org/jira/browse/FLINK-8983
>             Project: Flink
>          Issue Type: Sub-task
>          Components: Kafka Connector, Tests
>            Reporter: Till Rohrmann
>            Assignee: Yazdan Shirvany
>            Priority: Critical
>
> It would be good to add an end-to-end test which verifies that Flink is able 
> to work together with the Confluent schema registry. In order to do that we 
> have to setup a Kafka cluster and write a Flink job which reads from the 
> Confluent schema registry producing an Avro type.



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