Delete from customers1 where custid in (select Custid from #Temp_customers1) Will the above query work? Not entirely, as by using the above query, we lost all the duplicate records!! Let us see the table again. select * from customers1 go Now to keep one record of John, we will tak...
ROW_NUMBER WF enumerates the rows. We can also use it to remove duplicate records with it. Or to take a random sample. As the name suggests WF can calculate statistics on a given window: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 sum(sales)OVER(PARTITIONBYCustomerIDBYtsROWSBETWEEN...
proctimeASPROCTIME() )WITH(...);--remove duplicate rows on order_id and keep the first occurrence row,--because there shouldn't be two orders with the same order_id.SELECTorder_id,user, product, numFROM(SELECT*, ROW_NUMBER()OVER(PARTITIONBYorder_idORDERBYproctimeASC)ASrow_numFROMOrders)...
"expanded_query":"/* select#1 */ select `t_table_1`.`id` AS `id`,`t_table_1`.`task_id` AS `task_id` from `t_table_1` where <in_optimizer>(`t_table_1`.`task_id`,<exists>(/* select#2 */ select `t_table_2`.`id` from `t_table_2` where ((`t_table_2`.`uid` ...
For example, run the SELECT query first to ensure that you are only getting those rows that are meant for deletion: SELECT * FROM dbo.Book WHERE Title LIKE '%SQL%' and Stock=0 Once you are confident, you can turn your SELECT into the DELETE statement: ...
select * from t_table_1 semi join t_table_2 where (`t_table_2`.`uid` = 1 and `t_table_1`.`task_id` = `t_table_2`.`id`)" 可以看到优化器这次选择将in转换成semijoin了,观察执行计划可以看到走了索引。 那如果换成delete呢?同样保持开关打开,跟踪如下:"steps": [ { "expanded_query...
from films group by title, uk_release_date having count(*) > 1; So now you have your duplicated values. But the output only shows one row for each copy. If you want to display the all the rows you need another step. Query the table again. Filter it by checking where the rows are...
query: values|{ select|selectWithoutFrom|query UNION [ ALL ] query|query EXCEPT query|query INTERSECT query } [ ORDER BY orderItem [, orderItem ]*] [ LIMIT { count|ALL } ] [ OFFSET start { ROW|ROWS } ] [ FETCH { FIRST| NEXT } [ count ] { ROW |ROWS } ONLY] ...
MV_ST_ALTER_QUERY_INCORRECT_BACKING_TYPE、NOT_ALLOWED_IN_FROM、NOT_ALLOWED_IN_PIPE_OPERATOR_WHERE、NOT_A_CONSTANT_STRING、NOT_UNRESOLVED_ENCODER、PARSE_MODE_UNSUPPORTED、PARSE_SYNTAX_ERROR、PROCEDURE_CREATION_PARAMETER_OUT_INOUT_WITH_DEFAULT、REF_DEFAULT_VALUE_IS_NOT_ALLOWED_IN_PARTITION、SORT_BY_...
// run a SQL update query on the Table and emit the result to the TableSink tableEnv.sqlUpdate( "INSERT INTO RubberOrders SELECT product, amount FROM Orders WHERE product LIKE '%Rubber%'") ``` ### Supported Syntax Flink使用支持标准ANSI SQL的Apache Calcite解析SQL。Flink不支持DDL语句。