汇合 – kafka-avro-console-producer快速启动失败

2019年7月20日 167次阅读

我正在使用confluent-3.0.0中的kafka-avro-console-producer,当我执行以下操作时发生错误：

./bin/kafka-avro-console-producer --broker-list localhost:9092 --topic test1234 --property value.schema='{"type":"record","name":"myrecord","fields":[{"name":"f1","type":"string"}]}'
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/Users/tonydao/dev/bin/confluent-3.0.0/share/java/kafka-serde-tools/slf4j-log4j12-1.7.6.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/Users/tonydao/dev/bin/confluent-3.0.0/share/java/confluent-common/slf4j-log4j12-1.7.6.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/Users/tonydao/dev/bin/confluent-3.0.0/share/java/schema-registry/slf4j-log4j12-1.7.6.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]
{"f1":"value1"}
{"f1":"value2"}

org.apache.kafka.common.errors.SerializationException: Error deserializing json  to Avro of schema {"type":"record","name":"myrecord","fields":[{"name":"f1","type":"string"}]}
Caused by: java.io.EOFException
    at org.apache.avro.io.JsonDecoder.advance(JsonDecoder.java:138)
    at org.apache.avro.io.JsonDecoder.readString(JsonDecoder.java:219)
    at org.apache.avro.io.JsonDecoder.readString(JsonDecoder.java:214)
    at org.apache.avro.io.ResolvingDecoder.readString(ResolvingDecoder.java:201)
    at org.apache.avro.generic.GenericDatumReader.readString(GenericDatumReader.java:363)
    at org.apache.avro.generic.GenericDatumReader.readString(GenericDatumReader.java:355)
    at org.apache.avro.generic.GenericDatumReader.read(GenericDatumReader.java:157)
    at org.apache.avro.generic.GenericDatumReader.readField(GenericDatumReader.java:193)
    at org.apache.avro.generic.GenericDatumReader.readRecord(GenericDatumReader.java:183)
    at org.apache.avro.generic.GenericDatumReader.read(GenericDatumReader.java:151)
    at org.apache.avro.generic.GenericDatumReader.read(GenericDatumReader.java:142)
    at io.confluent.kafka.formatter.AvroMessageReader.jsonToAvro(AvroMessageReader.java:189)
    at io.confluent.kafka.formatter.AvroMessageReader.readMessage(AvroMessageReader.java:157)
    at kafka.tools.ConsoleProducer$.main(ConsoleProducer.scala:55)
    at kafka.tools.ConsoleProducer.main(ConsoleProducer.scala)

最佳答案 >确保仅从汇合的kafka包运行所有必需的服务(zookeeper kafka服务器和模式注册表).

>您可能之前在同一台服务器上使用过某些其他版本的kafka,可能需要清理日志目录(/ tmp / kafka是默认目录)

>确保在没有提供数据的情况下没有按Enter键,因为它被视为空并导致异常.

>尝试一个全新的主题

点赞