Flink KafkaConsumer fail to deserialise a composite avro schema
Question
I have implemented the solution suggested here: Kafka consumer in flink , So my code looks like this:
Schema schema = Schema.parse("{\"type\":\"record\",\"name\":\"Envelope\" ... etc");
DataStreamSource<GenericRecord> stream = env.addSource(new FlinkKafkaConsumer<>(topic, AvroDeserializationSchema.forGeneric(schema), getKafkaCredentials()).setStartFromLatest());
But I kept getting the error ... Caused by: java.lang.ArrayIndexOutOfBoundsException: -53 , and I tried with different topic/schema pairs, and I would always get the same error but with different number (-4 instead of -53 and so on)
What could the problem be? Any suggestion how this issue can be solved?
The only difference I see between my problem and the one in Kafka consumer in flink 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
}
]
}
from pom file
<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>
---- Edit: sharing a pom file that actually worked ----
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:
<!--
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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>
1 answers
solution1
0 ACCPTED 2021-08-19 14:14:11
When you pick a Kafka deserializer format, you need to be aware of how the data was produced.
The Confluent wire format is not the same as plain Avro, and you can expect such out of bounds errors as the parsers are different.
See if ConfluentRegistryAvroDeserializationSchema class works better
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