Flink KafkaConsumer 无法反序列化复合 avro 模式

Flink KafkaConsumer fail to deserialise a composite avro schema

我已经实施了此处建议的解决方案：， 所以我的代码看起来像这样：

Schema schema = Schema.parse("{\"type\":\"record\",\"name\":\"Envelope\" ... etc");
DataStreamSource<GenericRecord> stream = env.addSource(new FlinkKafkaConsumer<>(topic, AvroDeserializationSchema.forGeneric(schema), getKafkaCredentials()).setStartFromLatest());

但我一直收到错误 ... Caused by: java.lang.ArrayIndexOutOfBoundsException: -53, 和 我尝试了不同的 topic/schema 对，我总是会得到相同的错误，但数字不同（-4 而不是 -53 等等）

可能是什么问题？关于如何解决这个问题有什么建议吗？

The only difference I see between my problem and the one in is that my schema is a bit more complex, here is a simplified version of my schema:

  "type": "record",
  "name": "Envelope",
  "namespace": "org.example.avro",
  "fields": [
    {
      "name": "somethingChanged",
      "type": "string"
    },
    {
      "name": "ts",
      "type": [
        "null",
        "long"
      ],
      "default": null
    },
    {
      "name": "old",
      "type": [
        "null",
        {
          "type": "record",
          "name": "OldValue",
          "fields": [
            {
              "name": "id",
              "type": [
                "null",
                "int"
              ],
              "default": null
            },
            {
              "name": "last_updated",
              "type": [
                "null",
                "string"
              ],
              "default": null
            }
          ]
        }
      ],
      "default": null
    },
    {
      "name": "data",
      "type": [
        "null",
        {
          "type": "record",
          "name": "Value",
          "fields": [
            {
              "name": "id",
              "type": [
                "null",
                "int"
              ],
              "default": null
            },
            {
              "name": "last_updated",
              "type": [
                "null",
                "string"
              ],
              "default": null
            }
          ]
        }
      ],
      "default": null
    }
  ]
}

来自 pom 文件

   <properties>
        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
        <flink.version>1.12.1</flink.version>
        <avro.version>1.10.0</avro.version>
        <java.version>1.8</java.version>
        <scala.binary.version>2.11</scala.binary.version>
        <maven.compiler.source>${java.version}</maven.compiler.source>
        <maven.compiler.target>${java.version}</maven.compiler.target>
    </properties>

---- 编辑：共享一个实际有效的 pom 文件----

After implementing the accepted Answer, I had to modify the pom file. But in order to share a useful working pom, I created a new pure Flink app from scratch and bellow is a pom file that worked:

<!--
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.
-->
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>

    <groupId>org.example</groupId>
    <artifactId>simpleFlink2</artifactId>
    <version>1.0-SNAPSHOT</version>
    <packaging>jar</packaging>

    <name>Flink Quickstart Job</name>

    <properties>
        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
        <flink.version>1.12.1</flink.version>
        <avro.version>1.10.0</avro.version>
        <java.version>1.8</java.version>
        <scala.binary.version>2.11</scala.binary.version>
        <maven.compiler.source>${java.version}</maven.compiler.source>
        <maven.compiler.target>${java.version}</maven.compiler.target>
    </properties>

    <repositories>
        <repository>
            <id>apache.snapshots</id>
            <name>Apache Development Snapshot Repository</name>
            <url>https://repository.apache.org/content/repositories/snapshots/</url>
            <releases>
                <enabled>false</enabled>
            </releases>
            <snapshots>
                <enabled>true</enabled>
            </snapshots>
        </repository>
    </repositories>

    <dependencies>
        <!-- Apache Flink dependencies -->
        <!-- These dependencies are provided, because they should not be packaged into the JAR file. -->
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-java</artifactId>
            <version>${flink.version}</version>
            <scope>provided</scope>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-streaming-java_${scala.binary.version}</artifactId>
            <version>${flink.version}</version>
            <scope>provided</scope>
        </dependency>

        <!-- Add connector dependencies here. They must be in the default scope (compile). -->

        <!-- Example:

        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-connector-kafka-0.10_${scala.binary.version}</artifactId>
            <version>${flink.version}</version>
        </dependency>
        -->

        <!-- Add logging framework, to produce console output when running in the IDE. -->
        <!-- These dependencies are excluded from the application JAR by default. -->
        <dependency>
            <groupId>org.slf4j</groupId>
            <artifactId>slf4j-log4j12</artifactId>
            <version>1.7.7</version>
            <scope>runtime</scope>
        </dependency>
        <dependency>
            <groupId>log4j</groupId>
            <artifactId>log4j</artifactId>
            <version>1.2.17</version>
            <scope>runtime</scope>
        </dependency>

        <!-- FlinkKafkaConsumer -->
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-connector-kafka_${scala.binary.version}</artifactId>
            <version>${flink.version}</version>
        </dependency>

        <!-- AvroDeserializationSchema -->
<!--        <dependency>-->
<!--            <groupId>org.apache.flink</groupId>-->
<!--            <artifactId>flink-avro</artifactId>-->
<!--            <version>${flink.version}</version>-->
<!--        </dependency>-->

        <!-- ConfluentRegistryAvroDeserializationSchema -->
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-avro-confluent-registry</artifactId>
            <version>${flink.version}</version>
        </dependency>

        <!-- to support for avro generator maven plugin -->
        <dependency>
            <groupId>org.apache.avro</groupId>
            <artifactId>avro-maven-plugin</artifactId>
            <version>${avro.version}</version>
        </dependency>

    </dependencies>

    <build>
        <plugins>

            <!-- Java Compiler -->
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-compiler-plugin</artifactId>
                <version>3.1</version>
                <configuration>
                    <source>${java.version}</source>
                    <target>${java.version}</target>
                </configuration>
            </plugin>

            <!-- We use the maven-shade plugin to create a fat jar that contains all necessary dependencies. -->
            <!-- Change the value of <mainClass>...</mainClass> if your program entry point changes. -->
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-shade-plugin</artifactId>
                <version>3.1.1</version>
                <executions>
                    <!-- Run shade goal on package phase -->
                    <execution>
                        <phase>package</phase>
                        <goals>
                            <goal>shade</goal>
                        </goals>
                        <configuration>
                            <artifactSet>
                                <excludes>
                                    <exclude>org.apache.flink:force-shading</exclude>
                                    <exclude>com.google.code.findbugs:jsr305</exclude>
                                    <exclude>org.slf4j:*</exclude>
                                    <exclude>log4j:*</exclude>
                                </excludes>
                            </artifactSet>
                            <filters>
                                <filter>
                                    <!-- Do not copy the signatures in the META-INF folder.
                                    Otherwise, this might cause SecurityExceptions when using the JAR. -->
                                    <artifact>*:*</artifact>
                                    <excludes>
                                        <exclude>META-INF/*.SF</exclude>
                                        <exclude>META-INF/*.DSA</exclude>
                                        <exclude>META-INF/*.RSA</exclude>
                                    </excludes>
                                </filter>
                            </filters>
                            <transformers>
                                <transformer
                                        implementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer">
                                    <mainClass>org.example.StreamingJob</mainClass>
                                </transformer>
                            </transformers>
                        </configuration>
                    </execution>
                </executions>
            </plugin>
            <!-- need to generate pojo from avsc files-->
            <plugin>
                <groupId>org.apache.avro</groupId>
                <artifactId>avro-maven-plugin</artifactId>
                <version>${avro.version}</version>
                <executions>
                    <execution>
                        <phase>generate-sources</phase>
                        <goals>
                            <goal>schema</goal>
                        </goals>
                        <configuration>
                            <stringType>String</stringType>
                        </configuration>
                    </execution>
                </executions>
            </plugin>
        </plugins>

        <pluginManagement>
            <plugins>

                <!-- This improves the out-of-the-box experience in Eclipse by resolving some warnings. -->
                <plugin>
                    <groupId>org.eclipse.m2e</groupId>
                    <artifactId>lifecycle-mapping</artifactId>
                    <version>1.0.0</version>
                    <configuration>
                        <lifecycleMappingMetadata>
                            <pluginExecutions>
                                <pluginExecution>
                                    <pluginExecutionFilter>
                                        <groupId>org.apache.maven.plugins</groupId>
                                        <artifactId>maven-shade-plugin</artifactId>
                                        <versionRange>[3.1.1,)</versionRange>
                                        <goals>
                                            <goal>shade</goal>
                                        </goals>
                                    </pluginExecutionFilter>
                                    <action>
                                        <ignore/>
                                    </action>
                                </pluginExecution>
                                <pluginExecution>
                                    <pluginExecutionFilter>
                                        <groupId>org.apache.maven.plugins</groupId>
                                        <artifactId>maven-compiler-plugin</artifactId>
                                        <versionRange>[3.1,)</versionRange>
                                        <goals>
                                            <goal>testCompile</goal>
                                            <goal>compile</goal>
                                        </goals>
                                    </pluginExecutionFilter>
                                    <action>
                                        <ignore/>
                                    </action>
                                </pluginExecution>
                            </pluginExecutions>
                        </lifecycleMappingMetadata>
                    </configuration>
                </plugin>
            </plugins>
        </pluginManagement>
    </build>

    <!-- This profile helps to make things run out of the box in IntelliJ -->
    <!-- Its adds Flink's core classes to the runtime class path. -->
    <!-- Otherwise they are missing in IntelliJ, because the dependency is 'provided' -->
    <profiles>
        <profile>
            <id>add-dependencies-for-IDEA</id>

            <activation>
                <property>
                    <name>idea.version</name>
                </property>
            </activation>

            <dependencies>
                <dependency>
                    <groupId>org.apache.flink</groupId>
                    <artifactId>flink-java</artifactId>
                    <version>${flink.version}</version>
                    <scope>compile</scope>
                </dependency>
                <dependency>
                    <groupId>org.apache.flink</groupId>
                    <artifactId>flink-streaming-java_${scala.binary.version}</artifactId>
                    <version>${flink.version}</version>
                    <scope>compile</scope>
                </dependency>

                <!-- to avoid "No ExecutorFactory found to execute the application" -->
                <dependency>
                    <groupId>org.apache.flink</groupId>
                    <artifactId>flink-clients_${scala.binary.version}</artifactId>
                    <version>${flink.version}</version>
                    <scope>compile</scope>
                </dependency>

            </dependencies>
        </profile>
    </profiles>

</project>

当您选择 Kafka 反序列化器格式时，您需要了解数据是如何生成的。

Confluent 有线格式与普通 Avro 不同，由于解析器不同，您可能会遇到越界错误。

看看 ConfluentRegistryAvroDeserializationSchema class 是否更好

参考 - https://ci.apache.org/projects/flink/flink-docs-release-1.13/docs/connectors/table/formats/avro-confluent/