我部署flink1.14.4版本，为啥 执行flinksql，读kafka数据会自动停止啊

我部署flink1.14.4版本，为啥 执行flinksql，读kafka数据会自动停止啊，一般情况不都是一直在运行吗

create table kafka1(
  id int,
  data STRING
) with (
  'connector' = 'kafka'
  ,'topic' = 'ylqtest002'
  ,'properties.zookeeper.connect' = '10.0.0.xx:2181'
  ,'properties.bootstrap.servers' = '10.0.0.xxx:9092'
  ,'format' = 'json'
  ,'properties.group.id'='iceberg1'
  ,'scan.startup.mode'='latest-offset'
);
select * from kafka1;

执行

• 关于该问题，我找了一篇非常好的博客，你可以看看是否有帮助，链接：Flink 消费kafka 序列化
• 除此之外, 这篇博客: Flink1.13中基于flinksql实时数仓简易demo中的 4.3 模拟kafka数据 部分也许能够解决你的问题, 你可以仔细阅读以下内容或跳转源博客中阅读:
  

• 1）子类数据构建：

  [bigdata_admin@dn5 ~]$ kafka-console-producer --broker-list dn3:9092,dn4:9092,dn5:9092 --topic son
  SLF4J: Class path contains multiple SLF4J bindings.
  SLF4J: Found binding in [jar:file:/opt/cloudera/parcels/KAFKA-3.0.0-1.3.0.0.p0.40/lib/kafka/libs/slf4j-log4j12-1.7.25.jar!/org/slf4j/impl/StaticLoggerBinder.class]
  SLF4J: Found binding in [jar:file:/opt/cloudera/parcels/KAFKA-3.0.0-1.3.0.0.p0.40/lib/kafka/libs/slf4j-log4j12-1.7.5.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]
  22/05/11 23:20:40 INFO producer.ProducerConfig: ProducerConfig values: 
          acks = 1
          batch.size = 16384
          bootstrap.servers = [dn3:9092, dn4:9092, dn5:9092]
          buffer.memory = 33554432
          client.id = console-producer
          compression.type = none
          connections.max.idle.ms = 540000
          enable.idempotence = false
          interceptor.classes = null
          key.serializer = class org.apache.kafka.common.serialization.ByteArraySerializer
          linger.ms = 1000
          max.block.ms = 60000
          max.in.flight.requests.per.connection = 5
          max.request.size = 1048576
          metadata.max.age.ms = 300000
          metric.reporters = []
          metrics.num.samples = 2
          metrics.recording.level = INFO
          metrics.sample.window.ms = 30000
          partitioner.class = class org.apache.kafka.clients.producer.internals.DefaultPartitioner
          receive.buffer.bytes = 32768
          reconnect.backoff.max.ms = 1000
          reconnect.backoff.ms = 50
          request.timeout.ms = 1500
          retries = 3
          retry.backoff.ms = 100
          sasl.jaas.config = null
          sasl.kerberos.kinit.cmd = /usr/bin/kinit
          sasl.kerberos.min.time.before.relogin = 60000
          sasl.kerberos.service.name = null
          sasl.kerberos.ticket.renew.jitter = 0.05
          sasl.kerberos.ticket.renew.window.factor = 0.8
          sasl.mechanism = GSSAPI
          security.protocol = PLAINTEXT
          send.buffer.bytes = 102400
          ssl.cipher.suites = null
          ssl.enabled.protocols = [TLSv1.2, TLSv1.1, TLSv1]
          ssl.endpoint.identification.algorithm = null
          ssl.key.password = null
          ssl.keymanager.algorithm = SunX509
          ssl.keystore.location = null
          ssl.keystore.password = null
          ssl.keystore.type = JKS
          ssl.protocol = TLS
          ssl.provider = null
          ssl.secure.random.implementation = null
          ssl.trustmanager.algorithm = PKIX
          ssl.truststore.location = null
          ssl.truststore.password = null
          ssl.truststore.type = JKS
          transaction.timeout.ms = 60000
          transactional.id = null
          value.serializer = class org.apache.kafka.common.serialization.ByteArraySerializer
  
  22/05/11 23:20:40 INFO utils.AppInfoParser: Kafka version : 0.11.0-kafka-3.0.0
  22/05/11 23:20:40 INFO utils.AppInfoParser: Kafka commitId : unknown
  
  >1,张三,21,shanghai,1001
  >2,李四,22,beijing,1002
  >3,王五,23,guangzhou,1003
  >4,赵六,24,shenzhen,1004
  

  2）父类数据构建

  [bigdata_admin@dn5 ~]$ kafka-console-producer --broker-list dn3:9092,dn4:9092,dn5:9092 --topic father
  
  >1001,张杰
  >1003,王杰
  >1005,钱杰
  >1007,李杰