Can kafka-dependent Flink tasks forcibly increase resources dynamically by copying job?

due to the current version, it seems that flink does not support dynamic scaling,. If you need to increase resource allocation, you must first stop the running job. Currently I have a flink job that is used to consume data from kafka topic and then sink to another topic. So I would like to ask if we directly copy the new flink job (consumer"s group_id remains the same) can it achieve the original goal of dynamically increasing resources? If you do this, can you use yarn or kubernetes to schedule resources dynamically?

Mar.18,2022

doesn't feel right.
messages whose Key was originally key1 will be consumed by the original flink job , resulting in State . Now key= "key1" messages will be sent to the new flink job , so what about State in the old flink job ? At the same time, State in the new flink job is not calculated on the basis of State in the old flink job .

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MySQL Query : SELECT * FROM `codeshelper`.`v9_news` WHERE status=99 AND catid='6' ORDER BY rand() LIMIT 5
MySQL Error : Disk full (/tmp/#sql-temptable-64f5-1b38979-2c13e.MAI); waiting for someone to free some space... (errno: 28 "No space left on device")
MySQL Errno : 1021
Message : Disk full (/tmp/#sql-temptable-64f5-1b38979-2c13e.MAI); waiting for someone to free some space... (errno: 28 "No space left on device")
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