15810785091 commented on issue #9723:
URL: https://github.com/apache/seatunnel/issues/9723#issuecomment-3199046745

   Change transfrom to the following. This will work !!!250W data completed in 
32 seconds!!!
   
   But before the modification, is there a problem that the task does not 
report an error and does not throw an exception, or whether this type of 
implicit conversion can be adjusted?
   
   
   transform {
     Sql{
       plugin_input = "mysql_table"
       plugin_output = "sql_table"
       query = """
         SELECT
           id
         , taskname
         , wxtitle
         , wx_author
         , paytype
         , type
         , plattype
         , category
         , FROM_UNIXTIME(cast(createtime as bigint), 'yyyy-MM-dd HH:mm:ss') 
createtime
         , FROM_UNIXTIME(cast(audittime as bigint), 'yyyy-MM-dd HH:mm:ss') 
audittime
         , FROM_UNIXTIME(cast(canceltime as bigint), 'yyyy-MM-dd HH:mm:ss') 
canceltime
         , FROM_UNIXTIME(cast(deltime as bigint), 'yyyy-MM-dd HH:mm:ss') deltime
         , FROM_UNIXTIME(cast(starttime as bigint), 'yyyy-MM-dd HH:mm:ss') 
starttime
         , FROM_UNIXTIME(cast(stoptime as bigint), 'yyyy-MM-dd HH:mm:ss') 
stoptime
         , is_fee
         , sort
         , FROM_UNIXTIME(cast(endtime as bigint), 'yyyy-MM-dd HH:mm:ss') endtime
         , FROM_UNIXTIME(cast(realusetime as bigint), 'yyyy-MM-dd HH:mm:ss') 
realusetime
         , status
         , payerid
         , agentid
         , saleid
         , managerid
         , reason
         , resource_status
         , feestatus
         , FROM_UNIXTIME(cast(feetime as bigint), 'yyyy-MM-dd HH:mm:ss') feetime
         , operatorid
         , mediamanagerid
         , identifier
         , planid
         , affiliatedid
         , idstr
         , source
         , customerid
         , customer_remarksid
         , pid_complex
         , discount_rate
         , discount_code
         , coupon_id
         , isonline
         , isdnr
         , remarks
         , process_type
         , bd_brand_id
         , weiq_brand_id
         , kf_brand_id
         , purchase_name
       from mysql_table
       """
     }
   }
   


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