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カフカストリームを学習するための単語数を試しています。以下は使用されるコードです。私はプロジェクトから太った瓶を作り、トピックword-count-input1へのメッセージを作り始め、word-count-output1からの出力をフェッチしています。しかし、私は脂肪のjarファイルを実行すると例外見ています - org.apache.kafka.streams.errors.StreamsException: Failed to deserialize value for record.カフカストリームの脂肪瓶を実行しているときの例外
Properties properties = new Properties();
properties.put(StreamsConfig.APPLICATION_ID_CONFIG,"word-count-example");
properties.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG,"127.0.0.1:9092");
properties.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG,"earliest");
properties.put(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.String().getClass());
properties.put(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, Serdes.Long().getClass());
KStreamBuilder builder = new KStreamBuilder();
// 1. Stream from kafka
KStream<String,String> wordcountInput = builder.stream("word-count-input1");
// 2. map values to lower case
KTable<String, Long> wordcount = wordcountInput.mapValues(value -> value.toLowerCase())
// 3. split by space on values
.flatMapValues(value -> Arrays.asList(value.split(" ")))
// 4. Create a key to apply a key, so the word itself is a key
.selectKey((ignoredKey,words) -> words)
// 5. Group it by key
.groupByKey()
// 6. count occurences, add a column name - counts
.count("counts");
// Since the StreamsConfig was set to String and String, its mandatory to specify the Serdes o/p which is String and Long in our case
wordcount.to(Serdes.String(),Serdes.Long(),"word-count-output1");
KafkaStreams streams = new KafkaStreams(builder, properties);
streams.start();
System.out.println("Topology is " + streams.toString());
が例外：
INFO stream-thread [word-count-example-052c3c3e-8dfd-40e7-8b5b-7ee06e3af96a-StreamThread-1] Shutting down (org.apache.kafka.streams.processor.internals.StreamThread:1040)
INFO Closing the Kafka producer with timeoutMillis = 9223372036854775807 ms. (org.apache.kafka.clients.producer.KafkaProducer:972)
INFO stream-thread [word-count-example-052c3c3e-8dfd-40e7-8b5b-7ee06e3af96a-StreamThread-1] Removing all active tasks [0_0, 1_0, 0_1, 1_1, 0_2, 1_2] (org.apache.kafka.streams.processor.internals.StreamThread:1407)
INFO stream-thread [word-count-example-052c3c3e-8dfd-40e7-8b5b-7ee06e3af96a-StreamThread-1] Removing all standby tasks [] (org.apache.kafka.streams.processor.internals.StreamThread:1421)
INFO stream-thread [word-count-example-052c3c3e-8dfd-40e7-8b5b-7ee06e3af96a-StreamThread-1] Stream thread shutdown complete (org.apache.kafka.streams.processor.internals.StreamThread:1072)
WARN stream-thread [word-count-example-052c3c3e-8dfd-40e7-8b5b-7ee06e3af96a-StreamThread-1] Unexpected state transition from RUNNING to DEAD. (org.apache.kafka.streams.processor.internals.StreamThread:978)
Exception in thread "word-count-example-052c3c3e-8dfd-40e7-8b5b-7ee06e3af96a-StreamThread-1" org.apache.kafka.streams.errors.StreamsException: Failed to deserialize value for record. topic=word-count-input1, partition=0, offset=0
at org.apache.kafka.streams.processor.internals.SourceNodeRecordDeserializer.deserialize(SourceNodeRecordDeserializer.java:46)
at org.apache.kafka.streams.processor.internals.RecordQueue.addRawRecords(RecordQueue.java:84)
at org.apache.kafka.streams.processor.internals.PartitionGroup.addRawRecords(PartitionGroup.java:117)
at org.apache.kafka.streams.processor.internals.StreamTask.addRecords(StreamTask.java:464)
at org.apache.kafka.streams.processor.internals.StreamThread.addRecordsToTasks(StreamThread.java:650)
at org.apache.kafka.streams.processor.internals.StreamThread.runLoop(StreamThread.java:556)
at org.apache.kafka.streams.processor.internals.StreamThread.run(StreamThread.java:527)
Caused by: org.apache.kafka.common.errors.SerializationException: Size of data received by LongDeserializer is not 8
INFO stream-client [word-count-example-052c3c3e-8dfd-40e7-8b5b-7ee06e3af96a] State transition from RUNNING to PENDING_SHUTDOWN. (org.apache.kafka.streams.KafkaStreams:229)
INFO stream-thread [word-count-example-052c3c3e-8dfd-40e7-8b5b-7ee06e3af96a-StreamThread-1] Informed thread to shut down (org.apache.kafka.streams.processor.internals.StreamThread:900)
WARN stream-thread [word-count-example-052c3c3e-8dfd-40e7-8b5b-7ee06e3af96a-StreamThread-1] Unexpected state transition from DEAD to PENDING_SHUTDOWN. (org.apache.kafka.streams.processor.internals.StreamThread:978)
INFO stream-client [word-count-example-052c3c3e-8dfd-40e7-8b5b-7ee06e3af96a] Stopped Kafka Streams process. (org.apache.kafka.streams.KafkaStreams:514)
INFO stream-client [word-count-example-052c3c3e-8dfd-40e7-8b5b-7ee06e3af96a] State transition from PENDING_SHUTDOWN to NOT_RUNNING. (org.apache.kafka.streams.KafkaStreams:229)
セットアップは、Linux VM上の飼育係と3つのブローカーを実行していることです。誰かがお勧めしますか？
KTable<String, Long> wordcount = source
.flatMapValues(new ValueMapper<String, Iterable<String>>() {
@Override
public Iterable<String> apply(String value) {
return Arrays.asList(value.toLowerCase(Locale.getDefault()).split(" "));
}
})
.groupBy(new KeyValueMapper<String, String, String>() {
@Override
public String apply(String key, String value) {
return value;
}
})
.count("Counts");
どのバージョンのkafka plsですか？ –