【Flink】 Flink与Kafka版本对应关系
1.概述
转载：Flink与Kafka版本对应关系
转载这个主要是上次做flink kafka版本升级，忘记记录了。
先上干货：以下为Flink和Kafka的版本对照表
| Flink版本 | Kafka版本 |
|---|---|
| 1.12.X | 2.4.1 |
| 1.11.X | 2.4.1 |
| 1.10.X | 2.2.1 |
| 1.9.X | 2.2.0 |
| 1.8.X | 2.0.1 |
| 1.7.X | 2.0.1 |
| 0.10.x | 0.8.2.0 |
| 0.9.x | 0.8.2.0 |
最近在使用Flink进行Kafka吞吐量测试时，遇到了以下问题导致程序无法运行
去网上查资料也没有很直接的解决方法，大致也就是说是Flink与Kafka的版本问题
目前Flink采用的是1.12.0版本，Kafka采用的是2.3.0版本
报错信息如下：
Exception in thread "main" org.apache.flink.runtime.client.JobExecutionException: Job execution failed.
at org.apache.flink.runtime.jobmaster.JobResult.toJobExecutionResult(JobResult.java:146)
at org.apache.flink.runtime.minicluster.MiniCluster.executeJobBlocking(MiniCluster.java:638)
at org.apache.flink.streaming.api.environment.LocalStreamEnvironment.execute(LocalStreamEnvironment.java:123)
at org.apache.flink.streaming.api.environment.StreamExecutionEnvironment.execute(StreamExecutionEnvironment.java:1509)
at lenrnflink.Te2.main(Te2.java:24)
Caused by: java.lang.NoSuchMethodError: org.apache.flink.api.common.serialization.DeserializationSchema.open(Lorg/apache/flink/api/common/serialization/DeserializationSchema$InitializationContext;)V
at org.apache.flink.streaming.connectors.kafka.internals.KafkaDeserializationSchemaWrapper.open(KafkaDeserializationSchemaWrapper.java:46)
at org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase.open(FlinkKafkaConsumerBase.java:696)
at org.apache.flink.api.common.functions.util.FunctionUtils.openFunction(FunctionUtils.java:36)
at org.apache.flink.streaming.api.operators.AbstractUdfStreamOperator.open(AbstractUdfStreamOperator.java:102)
at org.apache.flink.streaming.runtime.tasks.StreamTask.openAllOperators(StreamTask.java:424)
at org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:290)
at org.apache.flink.runtime.taskmanager.Task.run(Task.java:711)
at java.lang.Thread.run(Thread.java:748)
pom.xml中关于Flink与Flink-Kafka连接器配置如下：
Exception in thread "main" org.apache.flink.runtime.client.JobExecutionException: Job execution failed.
at org.apache.flink.runtime.jobmaster.JobResult.toJobExecutionResult(JobResult.java:146)
at org.apache.flink.runtime.minicluster.MiniCluster.executeJobBlocking(MiniCluster.java:638)
at org.apache.flink.streaming.api.environment.LocalStreamEnvironment.execute(LocalStreamEnvironment.java:123)
at org.apache.flink.streaming.api.environment.StreamExecutionEnvironment.execute(StreamExecutionEnvironment.java:1509)
at lenrnflink.Te2.main(Te2.java:24)
Caused by: java.lang.NoSuchMethodError: org.apache.flink.api.common.serialization.DeserializationSchema.open(Lorg/apache/flink/api/common/serialization/DeserializationSchema$InitializationContext;)V
at org.apache.flink.streaming.connectors.kafka.internals.KafkaDeserializationSchemaWrapper.open(KafkaDeserializationSchemaWrapper.java:46)
at org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase.open(FlinkKafkaConsumerBase.java:696)
at org.apache.flink.api.common.functions.util.FunctionUtils.openFunction(FunctionUtils.java:36)
at org.apache.flink.streaming.api.operators.AbstractUdfStreamOperator.open(AbstractUdfStreamOperator.java:102)
at org.apache.flink.streaming.runtime.tasks.StreamTask.openAllOperators(StreamTask.java:424)
at org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:290)
at org.apache.flink.runtime.taskmanager.Task.run(Task.java:711)
at java.lang.Thread.run(Thread.java:748)
网上说有可能是Kafka服务器与客户端Fetch版本不一致导致的，然后我经过检查发现服务器与客户端版本Fetch一致。
Exception in thread "main" org.apache.flink.runtime.client.JobExecutionException: Job execution failed.
at org.apache.flink.runtime.jobmaster.JobResult.toJobExecutionResult(JobResult.java:146)
at org.apache.flink.runtime.minicluster.MiniCluster.executeJobBlocking(MiniCluster.java:638)
at org.apache.flink.streaming.api.environment.LocalStreamEnvironment.execute(LocalStreamEnvironment.java:123)
at org.apache.flink.streaming.api.environment.StreamExecutionEnvironment.execute(StreamExecutionEnvironment.java:1509)
at lenrnflink.Te2.main(Te2.java:24)
Caused by: java.lang.NoSuchMethodError: org.apache.flink.api.common.serialization.DeserializationSchema.open(Lorg/apache/flink/api/common/serialization/DeserializationSchema$InitializationContext;)V
at org.apache.flink.streaming.connectors.kafka.internals.KafkaDeserializationSchemaWrapper.open(KafkaDeserializationSchemaWrapper.java:46)
at org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase.open(FlinkKafkaConsumerBase.java:696)
at org.apache.flink.api.common.functions.util.FunctionUtils.openFunction(FunctionUtils.java:36)
at org.apache.flink.streaming.api.operators.AbstractUdfStreamOperator.open(AbstractUdfStreamOperator.java:102)
at org.apache.flink.streaming.runtime.tasks.StreamTask.openAllOperators(StreamTask.java:424)
at org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:290)
at org.apache.flink.runtime.taskmanager.Task.run(Task.java:711)
at java.lang.Thread.run(Thread.java:748)
//客户端fetch版本，0-11，与服务器一致
public static Schema[] schemaVersions() {
return new Schema[]{FETCH_REQUEST_V0, FETCH_REQUEST_V1, FETCH_REQUEST_V2, FETCH_REQUEST_V3, FETCH_REQUEST_V4, FETCH_REQUEST_V5, FETCH_REQUEST_V6, FETCH_REQUEST_V7, FETCH_REQUEST_V8, FETCH_REQUEST_V9, FETCH_REQUEST_V10, FETCH_REQUEST_V11};
}
想要去找Flink与Kafka的版本对应关系，发现并没有找到，偶然在Maven发现了线索
在Maven仓库网站https://mvnrepository.com/中，找到flink-connector-kafka的详情页面：https://mvnrepository.com/artifact/org.apache.flink/flink-connector-kafka
这里的依赖包与Flink版本一一对应，我们点击Version为1.12.0的链接进去，发现页面中有一列为：Compile Dependencies，里面是kafka-client的2.4.1的依赖
说明Flink1.12.0推荐的Kafka版本为2.4.1，但是我使用的Kafka为2.3.0，版本不一致，导致报错。
之后我把Kafka也升级到2.4.1，错误解决
这边建议各位在使用Flink中Kafka连接器的时候，去Maven仓库中查看一下依赖，选用匹配的Flink与Kafka版本，避免出现异常。
最终我们的是Flink主版本是 flink 1.12.4 但是我们的connect 是kafka-connect 1.11.0 这样改动量是最小的，也是支持kafka 0.10.0版本的。
M.扩展
flink引出的kafka不同版本的兼容性