Hi,
        kafka connector 
ddl能不能像flinkKafkaConsumer.setStartFromTimestamp(xx)一样从指定timestamp开始消费,我看文档里只提到了earliest-offset,latest-offset,group-offsets,specific-offsets

CREATE TABLE MyUserTable (
  ...
) WITH (
  'connector.type' = 'kafka',       

  'connector.version' = '0.11',     -- required: valid connector versions are
                                    -- "0.8", "0.9", "0.10", "0.11", and 
"universal"

  'connector.topic' = 'topic_name', -- required: topic name from which the 
table is read

  'connector.properties.zookeeper.connect' = 'localhost:2181', -- required: 
specify the ZooKeeper connection string
  'connector.properties.bootstrap.servers' = 'localhost:9092', -- required: 
specify the Kafka server connection string
  'connector.properties.group.id' = 'testGroup', --optional: required in Kafka 
consumer, specify consumer group
  'connector.startup-mode' = 'earliest-offset',    -- optional: valid modes are 
"earliest-offset", 
                                                   -- "latest-offset", 
"group-offsets", 
                                                   -- or "specific-offsets"

  -- optional: used in case of startup mode with specific offsets
  'connector.specific-offsets' = 'partition:0,offset:42;partition:1,offset:300',

  'connector.sink-partitioner' = '...',  -- optional: output partitioning from 
Flink's partitions 
                                         -- into Kafka's partitions valid are 
"fixed" 
                                         -- (each Flink partition ends up in at 
most one Kafka partition),
                                         -- "round-robin" (a Flink partition is 
distributed to 
                                         -- Kafka partitions round-robin)
                                         -- "custom" (use a custom 
FlinkKafkaPartitioner subclass)
  -- optional: used in case of sink partitioner custom
  'connector.sink-partitioner-class' = 'org.mycompany.MyPartitioner',
  
  'format.type' = '...',                 -- required: Kafka connector requires 
to specify a format,
  ...                                    -- the supported formats are 'csv', 
'json' and 'avro'.
                                         -- Please refer to Table Formats 
section for more details.
)

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