当前作业有个sink 
connector消费不到数据,我找到原因了,根本原因是kafka中时间字段的问题,只是with子句新旧参数对相同的字段数据表现了不同的行为,kafka中的消息格式:


{"uid":46,"sex":"female","age":11,"created_time":"2020-07-23T19:53:15.509Z"}
奇怪的是,在kafka_table DDL中,created_time 
定义为TIMESTAMP(3),with使用老参数是可以成功运行的,with使用新参数,在IDEA中运行没有任何异常,提交到yarn上,会报异常:
java.lang.RuntimeException: RowTime field should not be null, please convert it 
to a non-nulllong value.
    at 
org.apache.flink.table.runtime.operators.wmassigners.WatermarkAssignerOperator.processElement(WatermarkAssignerOperator.java:115)
 ~[flink-table-blink_2.11-1.11.0.jar:1.11.0]


在本地用如下函数测试,结果确实是NULL
TO_TIMESTAMP('2020-07-23T19:53:15.509Z')
kafka producuer将created_time字段设置为整型,或者 “2020-07-23 
20:36:55.565”,with使用新参数是没有问题的。调了一下午,调到怀疑人生,还好发现问题











在 2020-07-23 20:10:43,"Leonard Xu" <[email protected]> 写道:
>Hi
>
>你说的下游消费不到数据,这个下游是指当前作业消费不到数据吗?
>
>正常应该不会的,可以提供个可复现代码吗? 
>
>祝好
>Leonard Xu
>
>
>> 在 2020年7月23日,18:13,Zhou Zach <[email protected]> 写道:
>> 
>> Hi all,
>> 
>> 根据文档https://ci.apache.org/projects/flink/flink-docs-release-1.11/dev/table/connectors/kafka.html#start-reading-position,
>> 使用新参数创建kafka_table,下游消费不到数据,使用老参数下游可以消费到数据,是不是新参数的方式有坑啊
>> 
>> 
>> 老参数:
>>    streamTableEnv.executeSql(
>>      """
>>        |
>>        |CREATE TABLE kafka_table (
>>        |    uid BIGINT,
>>        |    sex VARCHAR,
>>        |    age INT,
>>        |    created_time TIMESTAMP(3),
>>        |    WATERMARK FOR created_time as created_time - INTERVAL '3' SECOND
>>        |) WITH (
>>        |
>>        |     'connector.type' = 'kafka',
>>        |    'connector.version' = 'universal',
>>        |    'connector.topic' = 'user',
>>        |    'connector.startup-mode' = 'latest-offset',
>>        |    'connector.properties.zookeeper.connect' = 
>> 'cdh1:2181,cdh2:2181,cdh3:2181',
>>        |    'connector.properties.bootstrap.servers' = 
>> 'cdh1:9092,cdh2:9092,cdh3:9092',
>>        |    'connector.properties.group.id' = 'user_flink',
>>        |    'format.type' = 'json',
>>        |    'format.derive-schema' = 'true'
>>        |
>>        |)
>>        |""".stripMargin)
>> 
>> 新参数:
>> 
>>    streamTableEnv.executeSql(
>>      """
>>        |
>>        |CREATE TABLE kafka_table (
>>        |
>>        |    uid BIGINT,
>>        |    sex VARCHAR,
>>        |    age INT,
>>        |    created_time TIMESTAMP(3),
>>        |    WATERMARK FOR created_time as created_time - INTERVAL '3' SECOND
>>        |) WITH (
>>        |    'connector' = 'kafka',
>>        |     'topic' = 'user',
>>        |    'properties.bootstrap.servers' = 'cdh1:9092,cdh2:9092,cdh3:9092',
>>        |    'properties.group.id' = 'user_flink',
>>        |    'scan.startup.mode' = 'latest-offset',
>>        |    'format' = 'json',
>>        |    'json.fail-on-missing-field' = 'false',
>>        |    'json.ignore-parse-errors' = 'true'
>>        |)
>>        |""".stripMargin)

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