mysql - Kafka乱码——Debezium中中文单词变成乱码

Question

我用 debezium 得到了困惑的代码:

"doulist_name": "2013 豆瓣电影��碑榜】" 

mysql数据库中有中文单词，我使用debezium将数据发送到kafka。我发现消费消息时中文变成了乱码，请问如何解决？有什么我可以使用的配置吗？

当我使用flume和kafka Producer生成中文单词时，效果很好

部分配置:

key.converter=org.apache.kafka.connect.json.JsonConverter
value.converter=org.apache.kafka.connect.json.JsonConverter
key.converter.schemas.enable=true
value.converter.schemas.enable=true
internal.key.converter=org.apache.kafka.connect.json.JsonConverter
internal.value.converter=org.apache.kafka.connect.json.JsonConverter
internal.key.converter.schemas.enable=false
internal.value.converter.schemas.enable=false

connector.class=io.debezium.connector.mysql.MySqlConnector
database.server.id=18405
database.server.name=mysqlfullfillment
database.whitelist=test
database.history.kafka.bootstrap.servers=192.168.0.100:9092
database.history.kafka.topic=dbhistory.fullfillment-local
include.schema.changes=true
transforms=unwrap
transforms.unwrap.type=io.debezium.transforms.UnwrapFromEnvelope

mysql字符集:utf8 mysql config picture

版本:debezium v​​0.7.5、kafka v1.1.1

添加:

当我用控制台测试它时./kafka-console-consumer.sh --zookeeper 192.168.0.100:2181 --topic mysqlfullfillment.test.doulist我的代码很乱

"doulist_name": "2013 豆瓣电影��碑榜】"

在我的 Spark 代码中，我得到了同样困惑的代码:

  def main(args: Array[String]) {
    val spark = SparkSession
      .builder()
      .master("local")
      .appName("KafkaWordCount")
      .config("spark.streaming.stopGracefullyOnShutdown", "true")
      .getOrCreate()
    simpleTestCode(spark)
  }

  def simpleTestCode(spark: SparkSession): Unit = {
    val kafkaParams = Map[String, Object](
      "bootstrap.servers" -> "localhost:9092",
      "key.deserializer" -> classOf[StringDeserializer],
      "value.deserializer" -> classOf[StringDeserializer],
      "group.id" -> "KafkaWordCountgroup",
      "auto.offset.reset" -> "latest",
      "enable.auto.commit" -> (true: java.lang.Boolean)
    )
    val topics = Array("mysqlfullfillment.test.doulist")
    val ssc = new StreamingContext(spark.sparkContext, Seconds(2))

    ssc.checkpoint("/home/feng/software/code/bigdata/spark-warehouse")
    val stream = KafkaUtils.createDirectStream[String, String](
      ssc,
      PreferBrokers,
      Subscribe[String, String](topics, kafkaParams)
    )

    stream.map(mapFunc = record => (record.key, record.value)).foreachRDD(
      r => r.collect().foreach(t => print("message:" + t)))

    ssc.start()
    ssc.awaitTermination()
  }

Answer 1

我解决了这个问题。

当我在 debezium 中使用 JsonConverter 时:

key.converter=org.apache.kafka.connect.json.JsonConverter
value.converter=org.apache.kafka.connect.json.JsonConverter

它会使用JsonSerializer来序列化数据，所以我必须在kafka中使用JsonDeserializer

val kafkaParams = Map[String, Object](
      "bootstrap.servers" -> CommonUtil.getKafkaServers,
      "key.deserializer" -> classOf[JsonDeserializer],
      "value.deserializer" -> classOf[JsonDeserializer],
      "group.id" -> groupId,
      "auto.offset.reset" -> "latest",
      "enable.auto.commit" -> (false: java.lang.Boolean)
    )