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?Flink入門程序異常，記錄一下跟大家分享。

SLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder".
SLF4J: Defaulting to no-operation (NOP) logger implementation
SLF4J: See http://www.slf4j.org/codes.html#StaticLoggerBinder for further details.
org.apache.flink.runtime.client.JobExecutionException: java.lang.NoSuchMethodError: org.apache.kafka.clients.consumer.KafkaConsumer.assign(Ljava/util/List;)V
?? ?at org.apache.flink.runtime.minicluster.MiniCluster.executeJobBlocking(MiniCluster.java:623)
?? ?at org.apache.flink.streaming.api.environment.LocalStreamEnvironment.execute(LocalStreamEnvironment.java:123)
?? ?at org.apache.flink.streaming.api.environment.StreamExecutionEnvironment.execute(StreamExecutionEnvironment.java:1511)
?? ?at Streaming.ReadFromKafka.main(ReadFromKafka.java:41)
Caused by: java.lang.NoSuchMethodError: org.apache.kafka.clients.consumer.KafkaConsumer.assign(Ljava/util/List;)V
?? ?at org.apache.flink.streaming.connectors.kafka.internal.KafkaConsumerCallBridge.assignPartitions(KafkaConsumerCallBridge.java:42)
?? ?at org.apache.flink.streaming.connectors.kafka.internal.KafkaConsumerThread.reassignPartitions(KafkaConsumerThread.java:405)
?? ?at org.apache.flink.streaming.connectors.kafka.internal.KafkaConsumerThread.run(KafkaConsumerThread.java:243)

當各位遇到這個錯誤的時候，相信你們也是寫的Flink的入門程序，讀取或者寫入kafka。網上的資料少之甚少，經過一番尋找還是找到了一點東西。希望大家以后可以少走彎路。

?

【尖叫提示】：這是入門級別的一個大坑。

<dependency>

<groupId>org.apache.kafka</groupId>

<artifactId>kafka-clients</artifactId>

<version>0.9.0.1</version>

</dependency>

這個kafka-clients的版本一定要寫這個。

如果寫下面這個，則會報錯：具體原因應該是1.0.0的不支持了。

org.apache.flink.runtime.client.JobExecutionException: java.lang.NoSuchMethodError: org.apache.kafka.clients.consumer.KafkaConsumer.assign(Ljava/util/List;)V

<dependency>

<groupId>org.apache.flink</groupId>

<artifactId>flink-clients_2.11</artifactId>

<version>1.6.0</version>

</dependency>

?

具體的代碼如下：

package Streaming;

import org.apache.flink.api.common.functions.MapFunction;

import org.apache.flink.api.common.serialization.SimpleStringSchema;

import org.apache.flink.streaming.api.datastream.DataStream;

import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;

import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer09;

import java.util.Properties;

/**

* Created with IntelliJ IDEA.

* User: @ziyu freedomziyua@gmail.com

* Date: 2018-09-10

* Time: 11:25

* Description: kafka.Streaming.ReadFromKafka

*/

public class ReadFromKafka {

public static void main(String args[]) throws Exception{

StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();

Properties properties = new Properties();

properties.setProperty("bootstrap.servers", "192.168.2.41:9092");

properties.setProperty("group.id", "test");

DataStream<String> stream = env

.addSource(new FlinkKafkaConsumer09("flink-demo", new SimpleStringSchema(), properties));

stream.map(new MapFunction<String, String>() {

private static final long serialVersionUID = -6867736771747690202L;

public String map(String value) throws Exception {

return "Stream Value: " + value;

}

}).print();

try {

env.execute();

} catch (Exception e) {

e.printStackTrace();

}

}

}

如果運行的話，只要環境修改好了，然后引入Flink連接kafka 的依賴

<properties>

<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>

<flink.version>1.6.0</flink.version>

</properties>

<dependencies>

<dependency>

<groupId>org.apache.flink</groupId>

<artifactId>flink-java</artifactId>

<version>${flink.version}</version>

</dependency>

<dependency>

<groupId>org.apache.flink</groupId>

<artifactId>flink-streaming-java_2.11</artifactId>

<version>${flink.version}</version>

</dependency>

<dependency>

<groupId>org.apache.kafka</groupId>

<artifactId>kafka-clients</artifactId>

<version>0.9.0.1</version>

</dependency>

<!-- Flink Connector Kafka | exclude Kafka implementation to use MapR -->

<dependency>

<groupId>org.apache.flink</groupId>

<artifactId>flink-connector-kafka-0.10_2.11</artifactId>

<version>${flink.version}</version>

</dependency>

</dependencies>

【運行】

1.kafka創建flink-demo 的主題

2.啟動kafka 的生產者和消費者，觀察時候可以互通

3.如果上述都沒問題，啟動Flink

4.運行本地程序，觀察輸出即可

?

以上為初學Flink遇到的一個比較棘手的問題，希望大家少走彎路。

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