1.select v.receivername from T_SimpleFlow_MainInfo where v.id=52; 使用语句2查询出来的结果是按 ‘,’ 分割之后的结果,显示为3列分别为 张三 李四 王五 。 2.select sp.value from T_SimpleFlow_MainInfo v cross apply string_split(v.receivername,',') sp where v.id=52 ; 使用sql查询为空时...
2、执行语句 SELECT id, b.apply_industry FROM db_basic b CROSS APPLY dbo.Split(b.apply_industry,',') AS 结果如下
--方法1:使用游标,逐行拆分后拼接(略) --方法2:使用APPLY进行逐行运算 --根据某列一行变多行,并保留其他列的对应关系SELECTC.NAME, A.ValueFROM#TMP CCROSSAPPLY dbo.SplitString(C.STRING,',',1) A--去除NULL列SELECTC.NAME, A.ValueFROM#TMP COUTERAPPLY dbo.SplitString(C.STRING,',',1) A--保留...
select split(category,’,’) from move_info 原来‘悬疑,动作,科幻,剧情’ 变成[‘悬疑’,’动作’,’科幻’,’剧情’] EXPLODE(col):将 hive 一列中复杂的 Array 或者 Map 结构拆分成多行。 select explode(friends) from test3 lateral view :针对原表整体行数做炸裂(增) 用法:LATERAL VIEW 函数 表...
CROSS APPLY dbo.Split(LT.Name,':') --⾃定义表值函数，完成字符串分隔 WHERE a <> '' --去掉结果表中a字段为空的数据 ---字符串分隔函数--- CREATE Function [dbo].[Split](@Sql varchar(8000),@Splits varchar(10))returns @temp Table (a varchar(100))As Begin Declare @i Int Set @Sql...
CROSS APPLY STRING_SPLIT(Items, ',') ``` 运行上述查询后,我们会得到以下结果: OrderID | Item --- | --- 1 | Apples 1 | Oranges 1 | Bananas 2 | Grapes 2 | Pears 2 | Mangoes 可以看到,我们现在有了一个单独的行来表示每个商品。然而,这并没有完全解决我们的问题,因为我们仍然需要将这些...
cross apply SELECT F.usergroupid, F.row, S.Element FROM dbo.T_Cabin_FeatureWords AS F CROSS APPLY dbo.ufn_split(row, '-') AS S WHERE usergroupid = 21 merge MERGE dbo.T_I8_CommentGroup AS A USING (SELECT @e_id AS id) AS B ON A.ug_id = B.id WHEN MATCHED THEN UPDATE SET...
(nolock) CROSS apply sys.dm_exec_sql_text(qs.sql_handle) AS qt WHERE execution_count>1 ORDER BY total_worker_time DESC --平均耗CPU最多的前个SQL: SELECT TOP 20 total_worker_time/1000 AS [总消耗CPU 时间(ms)],execution_count [运行次数], qs.total_worker_time/qs.execution_count/1000 ...
SQLSERVER将指定表中的指定字段按照（,）逗号分隔不开⼼呀，早知道不跳了，⼀跳跳坑⾥来了。使⽤⽅式：DECLARE @ConsigneeAddressId INT;SET @ConsigneeAddressId = 1;SELECT * FROM ConsigneeAddress A OUTER APPLY StrSplit(A.ConsigneeAddress)WHERE ConsigneeAddressId = @ConsigneeAddressId;关...
Another common method is to use a combination of the `CROSS APPLY` or `CROSS JOIN` operators, along with the `VALUES` clause, to split the delimited values into multiple rows. This approach requires a bit more manualeffort to write the query, but it offers more flexibility and can handle...