Using Group By In Query With Three Columns Table

Oct 21, 2005

Hi,I guess my brain stopped but I need help with this. create table #RETURN(  uid int,  cid int,  serviceid int  )

 insert into #RETURN select 44,75,2 insert into #RETURN select 44,76,1 insert into #RETURN select 44,77,3 insert into #RETURN select 45,78,3I need to query this table that will get me a distinct UID with matching  CID  ordered by serviceid from lowest to highest.The solution should look likeuid   cid44   7645   78Thanks

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QUERY HELP: Selecting Distinct For Two Columns Group By One

Jul 23, 2005

Greetings.I'm having a little trouble with a query. The idea is simple I need todisplay a list of recently unique visited URLs and the last time Ivisited.I have 2 table one stores the user and time/date and another has theURL.So all I need is the URL (no duplicates) and the last visit.Below is the SQL to create the tables and data to help with the query.Thank you for your help.CREATE TABLE [stat_hits] ([hit_id] [int] (1, 1) NOT NULL ,[hit_date] [datetime] NOT NULL CONSTRAINT [DF_stat_hits_hit_date]DEFAULT (getdate()),[user_id] [varchar] (12) NOT NULL ,[hit_ip] [varchar] (15) NOT NULL ,[shp_id] [int] NOT NULL ,CONSTRAINT [PK_stat_hits] PRIMARY KEY CLUSTERED([hit_id]) ON [PRIMARY]) ON [PRIMARY]GOCREATE TABLE [stat_hit_pages] ([shp_id] [int] (1, 1) NOT NULL ,[shp_url] [varchar] (1000) NULL ,[shp_count] [int] NULL ,CONSTRAINT [PK_stat_hit_pages] PRIMARY KEY CLUSTERED([shp_id]) ON [PRIMARY]) ON [PRIMARY]GOINSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37878,'2005-06-01 16:07:35','ADMIN','0.0.0.0',7323)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37877,'2005-06-01 16:07:13','ADMIN','0.0.0.0',7323)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37876,'2005-06-01 15:41:17','ADMIN','0.0.0.0',7339)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37875,'2005-06-01 15:41:03','ADMIN','0.0.0.0',7323)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37874,'2005-06-01 15:20:31','ADMIN','0.0.0.0',7330)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37873,'2005-06-01 15:20:28','ADMIN','0.0.0.0',7338)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37872,'2005-06-01 14:45:46','ADMIN','0.0.0.0',7338)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37871,'2005-06-01 14:35:51','ADMIN','0.0.0.0',7338)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37870,'2005-06-01 14:30:25','ADMIN','0.0.0.0',7338)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37869,'2005-06-01 14:28:28','ADMIN','0.0.0.0',7338)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37868,'2005-06-01 14:28:23','ADMIN','0.0.0.0',7325)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37867,'2005-06-01 14:28:17','ADMIN','0.0.0.0',7322)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37866,'2005-06-01 14:28:15','ADMIN','0.0.0.0',7321)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37861,'2005-06-01 14:27:09','ADMIN','0.0.0.0',7339)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37860,'2005-06-01 14:27:05','ADMIN','0.0.0.0',7323)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37859,'2005-06-01 14:26:59','ADMIN','0.0.0.0',7322)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37858,'2005-06-01 14:26:58','ADMIN','0.0.0.0',7321)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37853,'2005-06-01 14:25:59','ADMIN','0.0.0.0',7338)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37852,'2005-06-01 14:23:51','ADMIN','0.0.0.0',7338)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37851,'2005-06-01 13:58:49','ADMIN','0.0.0.0',7338)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37850,'2005-06-01 13:44:06','ADMIN','0.0.0.0',7330)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37849,'2005-06-01 13:44:04','ADMIN','0.0.0.0',7321)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37848,'2005-06-01 13:44:04','ADMIN','0.0.0.0',7340)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37847,'2005-06-01 13:43:58','ADMIN','0.0.0.0',7330)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37846,'2005-06-01 13:43:53','ADMIN','0.0.0.0',7338)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37845,'2005-06-01 13:26:29','ADMIN','0.0.0.0',7325)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37844,'2005-06-01 13:22:34','ADMIN','0.0.0.0',7338)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37843,'2005-06-01 13:22:29','ADMIN','0.0.0.0',7325)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37842,'2005-06-01 13:21:15','ADMIN','0.0.0.0',7338)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37841,'2005-06-01 13:19:17','ADMIN','0.0.0.0',7338)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37840,'2005-06-01 13:17:20','ADMIN','0.0.0.0',7321)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37839,'2005-06-01 13:17:20','ADMIN','0.0.0.0',7320)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37838,'2005-06-01 11:55:15','ADMIN','0.0.0.0',7339)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37837,'2005-06-01 11:55:09','ADMIN','0.0.0.0',7323)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37836,'2005-06-01 11:53:08','ADMIN','0.0.0.0',7338)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37835,'2005-06-01 11:53:01','ADMIN','0.0.0.0',7325)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37834,'2005-06-01 11:34:34','ADMIN','0.0.0.0',7337)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37833,'2005-06-01 11:34:24','ADMIN','0.0.0.0',7336)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37832,'2005-06-01 11:02:59','ADMIN','0.0.0.0',7335)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37831,'2005-06-01 11:02:53','ADMIN','0.0.0.0',7334)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37830,'2005-06-01 11:02:46','ADMIN','0.0.0.0',7324)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37829,'2005-06-01 11:02:40','ADMIN','0.0.0.0',7333)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37828,'2005-06-01 11:02:31','ADMIN','0.0.0.0',7332)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37827,'2005-06-01 11:02:25','ADMIN','0.0.0.0',7323)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37826,'2005-06-01 11:02:21','ADMIN','0.0.0.0',7331)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37825,'2005-06-01 11:02:12','ADMIN','0.0.0.0',7323)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37824,'2005-06-01 11:01:23','ADMIN','0.0.0.0',7330)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37823,'2005-06-01 11:01:21','ADMIN','0.0.0.0',7328)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37822,'2005-06-01 11:01:20','ADMIN','0.0.0.0',7327)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37821,'2005-06-01 10:58:23','ADMIN','0.0.0.0',7330)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37820,'2005-06-01 10:58:10','ADMIN','0.0.0.0',7328)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37819,'2005-06-01 10:58:09','ADMIN','0.0.0.0',7327)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37818,'2005-06-01 10:55:27','ADMIN','0.0.0.0',7326)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37817,'2005-06-01 10:55:23','ADMIN','0.0.0.0',7325)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37816,'2005-06-01 10:55:17','ADMIN','0.0.0.0',7322)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37815,'2005-06-01 10:55:16','ADMIN','0.0.0.0',7321)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37810,'2005-06-01 10:54:20','ADMIN','0.0.0.0',7330)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37809,'2005-06-01 10:54:12','ADMIN','0.0.0.0',7329)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37808,'2005-06-01 10:51:30','ADMIN','0.0.0.0',7328)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37807,'2005-06-01 10:51:29','ADMIN','0.0.0.0',7327)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37806,'2005-06-01 10:51:10','ADMIN','0.0.0.0',7328)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37805,'2005-06-01 10:51:09','ADMIN','0.0.0.0',7327)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37804,'2005-06-01 10:35:46','ADMIN','0.0.0.0',7326)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37803,'2005-06-01 10:35:41','ADMIN','0.0.0.0',7325)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37802,'2005-06-01 10:35:29','ADMIN','0.0.0.0',7323)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37801,'2005-06-01 10:35:21','ADMIN','0.0.0.0',7321)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37800,'2005-06-01 10:35:20','ADMIN','0.0.0.0',7320)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37799,'2005-06-01 10:33:58','ADMIN','0.0.0.0',7321)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37798,'2005-06-01 10:33:50','ADMIN','0.0.0.0',7328)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37797,'2005-06-01 10:33:50','ADMIN','0.0.0.0',7327)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37796,'2005-06-01 10:33:09','ADMIN','0.0.0.0',7326)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37795,'2005-06-01 10:33:05','ADMIN','0.0.0.0',7325)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37794,'2005-06-01 10:32:45','ADMIN','0.0.0.0',7324)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37793,'2005-06-01 10:32:18','ADMIN','0.0.0.0',7323)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37792,'2005-06-01 10:31:47','ADMIN','0.0.0.0',7322)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37791,'2005-06-01 10:31:31','ADMIN','0.0.0.0',7321)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37790,'2005-06-01 10:31:31','ADMIN','0.0.0.0',7320)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37789,'2005-06-01 10:30:04','ADMIN','0.0.0.0',7320)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37788,'2005-05-31 20:49:56','ADMIN','0.0.0.0',7311)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37787,'2005-05-31 20:49:54','ADMIN','0.0.0.0',5942)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37786,'2005-05-31 20:49:54','ADMIN','0.0.0.0',31)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37785,'2005-05-31 20:49:02','ADMIN','0.0.0.0',5942)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37784,'2005-05-31 20:48:54','ADMIN','0.0.0.0',7311)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37783,'2005-05-31 20:48:53','ADMIN','0.0.0.0',5942)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37782,'2005-05-31 20:48:52','ADMIN','0.0.0.0',31)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37781,'2005-05-31 20:48:41','ADMIN','0.0.0.0',5941)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37780,'2005-05-31 20:48:37','ADMIN','0.0.0.0',215)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37779,'2005-05-31 20:48:30','ADMIN','0.0.0.0',4)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37775,'2005-05-31 20:46:44','ADMIN','0.0.0.0',7311)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37774,'2005-05-31 20:46:40','ADMIN','0.0.0.0',7319)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37773,'2005-05-31 20:46:39','ADMIN','0.0.0.0',31)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37772,'2005-05-31 20:46:12','ADMIN','0.0.0.0',7311)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37771,'2005-05-31 20:46:09','ADMIN','0.0.0.0',7319)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37770,'2005-05-31 20:46:08','ADMIN','0.0.0.0',31)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37769,'2005-05-31 20:45:55','ADMIN','0.0.0.0',7311)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37768,'2005-05-31 20:45:52','ADMIN','0.0.0.0',7319)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37767,'2005-05-31 20:45:51','ADMIN','0.0.0.0',31)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37766,'2005-05-31 20:45:33','ADMIN','0.0.0.0',7311)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37765,'2005-05-31 20:45:29','ADMIN','0.0.0.0',7319)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37764,'2005-05-31 20:45:29','ADMIN','0.0.0.0',31)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37763,'2005-05-31 20:45:28','ADMIN','0.0.0.0',31)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37762,'2005-05-31 20:44:52','ADMIN','0.0.0.0',7311)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37761,'2005-05-31 20:44:48','ADMIN','0.0.0.0',7319)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37760,'2005-05-31 20:44:47','ADMIN','0.0.0.0',31)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37759,'2005-05-31 20:44:23','ADMIN','0.0.0.0',7311)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37758,'2005-05-31 20:44:18','ADMIN','0.0.0.0',7319)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37757,'2005-05-31 20:44:18','ADMIN','0.0.0.0',31)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37756,'2005-05-31 20:43:50','ADMIN','0.0.0.0',6258)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37755,'2005-05-31 20:43:41','ADMIN','0.0.0.0',7311)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37754,'2005-05-31 20:43:37','ADMIN','0.0.0.0',7318)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37753,'2005-05-31 20:43:36','ADMIN','0.0.0.0',31)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37752,'2005-05-31 20:43:31','ADMIN','0.0.0.0',7317)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37751,'2005-05-31 20:43:16','ADMIN','0.0.0.0',7311)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37750,'2005-05-31 20:43:10','ADMIN','0.0.0.0',6684)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37749,'2005-05-31 20:43:10','ADMIN','0.0.0.0',31)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37748,'2005-05-31 20:40:04','ADMIN','0.0.0.0',7318)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37747,'2005-05-31 20:40:00','ADMIN','0.0.0.0',31)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37746,'2005-05-31 20:39:52','ADMIN','0.0.0.0',7317)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37745,'2005-05-31 20:39:24','ADMIN','0.0.0.0',7316)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37744,'2005-05-31 20:39:23','ADMIN','0.0.0.0',31)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37743,'2005-05-31 20:35:56','ADMIN','0.0.0.0',7315)INSERT INTO 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VALUES(5983,'/scripts/objects/edit.asp?_XID=70000028&_Ref=450493&_table=1002009&_item=225000000',15)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(6103,'/scripts/objects/edit.asp?_XID=70000028&_Ref=450493&_table=1001002&_parenturl=3&_item=215000018&_formtab=&process=&step=&elem=',21)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(6254,'/scripts/objects/edit.asp?_XID=70000028&_Ref=450493&_table=1001000&_item=225000001&_parenturl=2',4)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(6258,'/scripts/objects/edit.asp?_XID=70000028&_Ref=450493&_table=1001000&_item=225000001&_parenturl=2&',4)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(6587,'/scripts/objects/consolemaster.asp?_XID=80000004&_Ref=450493&_reset=true&showall=false&page_id=215000003&|MenuID=40000000',81)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) 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Grp2A Grp2B Grp2C Grp2D Grp2E

Grp1A nnn nnn nnn nnn nnn
Grp1B nnn nnn nnn nnn nnn
Grp1C nnn nnn nnn nnn nnn
Grp1D nnn nnn nnn nnn nnn

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I have a table with the following columns

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74 ,1,2,beck
74 ,1,2,greg
74 ,1,9,mike
74 ,1,9,laggo
74 ,2,2,beck
74 ,2,2,greg
74 ,2,9,mike
74 ,2,9,laggo

I am trying to get the result as follows.

Num Id Final Value

74 1 2,beck,greg;9,mike,laggo
74 2 2,beck,greg;9,mike,laggo

I tried to use Stuff and XMLpath but it is not giving me distinct results.

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I have a SQL query like this

select CurrencyCode,TransactionCode,TransactionAmount,COUNT(TransactionCode) as [No. Of Trans] from TransactionDetails where CAST(CurrentTime as date)=CAST(GETDATE()as date) group by TransactionCode, CurrencyCode,TransactionAmount order by CurrencyCode

As per this query I got the result like this

CurrencyCode TransactionCode TransactionAmount No.OfTrans
AED     BNT    1     1
AED     BNT     12     1
AED     SCN     1     1
AED     SNT     1     3

[Code] ....

But I wish to grt result as

CurrencyCode TransactionCode TransactionAmount No.OfTrans
AED     BNT   13     2
AED     SCN     1     1
AED     SNT     11     7
AFN     BPC    8     6

[Code] ....

I also tried this

select CurrencyCode,TransactionCode,TransactionAmount,COUNT(TransactionCode) as [No. Of Trans]
from TransactionDetails where CAST(CurrentTime as date)=CAST(GETDATE()as date)
group by TransactionCode order by CurrencyCode

But of course this codes gives an error, but how can I get my desired result??

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Second I'd like to be able to select the primary key of all the rows involved

Third I'd like to select all the primary keys of just the rows not in the current edition

Not really sure how to describe this without making a dataset

CREATE TABLE [Project].[TestTable1](
[TestTable1_pk] [int] IDENTITY(1,1) NOT NULL,
[Source_ID] [int] NOT NULL,
[Edition_fk] [int] NOT NULL,
[Key1_fk] [int] NOT NULL,
[Key2_fk] [int] NOT NULL,

[Code] .....

Group by fails me because I only want the groups where the Edition_fk don't match...

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Group by Trip, Destination, LeaveDate, LeaveTime, ReturnDate, ReturnTime, Comment, RescheduleDate

Order by LeaveDate, LeaveTime, Trip

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Which columns are null?

Thanks in advance

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Color Red Size 5 Height 2inch NULL NULL Length 1 cm
Color Red Size 4 Height 3inch NULL NULL NULL
Color Black Size 6 Height 1inch NULL NULL NULL NULL

I need the output as

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Size --- 4,5,6
Height 1inch,2inch,3inch
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Var or val can be either NULL or white space. I cannot use a function.

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Order tblOrder, tblOrder: CustID; ProductID; Amount

1 ;2 ;$20 – means Peter ordered $20 oranges

How do I write the SQL query so that the values in tblProduct become column, currently I have 20 items in that table. So, it will return something like this according to the information that I provide above?

Name Banana Orange Apple 

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TABLE:
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1 A
2 C
3 A
4 A
5 B
6 C
7 B

OUTPUT:

category count id's
A 3 1,3,4
B 2 5,7
C 2 2,6

The code would go something like:

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**TABLE_ONE**
Type Animal TestID
-----------------------------------------
Mammal Goat 1
Fish Cod 1
Bird Chicken 1
Reptile Snake 1
Bird Crow 2
Mammal Cow 2
Bird Ostrich 3

**Table_Two**
Test_name TestID
-------------------------
Test_1 1
Test_1 1
Test_1 1
Test_1 1
Test_2 2
Test_2 2
Test_3 3

In Table_One all types come under one column and the values of all Types (Mammal, Fish, Bird, Reptile) come under another column (Animals). Table_One and Two can be linked by Test_ID

I am trying to create a table such as shown below:

Test_Name Bird Reptile Mammal Fish
-----------------------------------------------------------------
Test_1 Chicken Snake Goat Cod
Test_2 Crow Cow
Test_3 Ostrich

This should be my final table. The approach I am currently using is to make multiple instances of Table_One and using joins to form this final table. So the column Bird, Reptile, Mammal and Fish all come from a different copy of Table_one.

For e.g

Select
Test_Name AS 'Test_Name',
Table_Bird.Animal AS 'Birds',
Table_Mammal.Animal AS 'Mammal',
Table_Reptile.Animal AS 'Reptile,
Table_Fish.Animal AS 'Fish'
From Table_One

[Code] .....

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Using SQL Server 2005 Express:
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===============
(some date)/Ford/20/1
(some date)Ford/20/2
(some date)Chevy/30/1
(some date)Toyota/50/3
(some date)Ford/30/3


Miles Type Table
MilesTypeID/MilesType
=================
1/City
2/Highway
3/Off-Road

I'd like the results to be like this:

Date/Car/City Miles/Highway Miles/Off-Road Miles
=====================================
(date)-Ford-20-0-0
(date)-Chevy-0-20-0
(date)-Ford-20-0-0
(date)-Toyota-0-0-50
(date)-Ford-0-0-30

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sql 7.0: Limited only by number of bytes

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thank u in advance

kavira

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Jan 19, 2008

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Name..........Factor1..........Factor2...
John..........X................Y
John..........X................X
Mary..........T................Y
Mary..........V................Y

I need a result table containing all 100 columns from MyNames but only the unique names in the name column. I don’t care which name row is used.

Name..........Factor1..........Factor2...
John..........X................Y
Mary..........V................Y

I have tried DISTINCT and GROUP BY.
DISTINCT will unique on every column listed so I will end up with the name repetred in the Name column.

SELECT DISIINCT Name, Factor1, Factor2 => I do not want the Factor columns involved in the distinct. This will cause the same name to appear in more than one row.

Group by will requires that I place the remaininf 99 columns in a function in order to have the columns listed.

SELECT Name, MAX(Address)... => adding 99 fields.

Is there a way get only the unique Names with the 99 other columns with out having to manually put the other 99 columns in functions?

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id name
------------------
1 lad
1 big
2 sen
2 zen

The output would be
id name
------------------
1 lad,big
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Is there a way to implement this is Reporting services.This has to be achieved on the fly which the report is being executed !
Any help on this is highly appreciated .

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ID-U.Price-FX-Rate

1280 19.1196 EUR 3.85
1280 46.2462 USD 3.63
1280 6.32 RM 1.00

Required output.

ID-U.Price-FX-Rate

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P0011
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P001.204
P001.305
P0021
P002.106
P002.207
P002.309
P002.4010
P002.5011

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Product IdSubProductQuantity
P001 40
P001 P001.3NULL
P002 41580
P002 P002.5NULL

This is same as [URL] ....

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Article         Assort1    Assort2
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Here is my DDL:

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[CUSTNMBR] [char](15) NOT NULL,
[ADRSCODE] [char](15) NOT NULL,
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[Code] ....

Here is my select statement:

SELECT[CUSTNMBR]
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[Code] ...

Here are the results of the select statement:

And here is what the result set is that I would like to achieve:

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Hello Friends,
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Can anyone help me on this issue.

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DECLARE @Providers TABLE (ID INT IDENTITY(1,1),
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Uniq_Id VARCHAR(10),
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Hi,

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category varchar(20),
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Table Destination
{


SubjectId varchar(20),
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category varchar(20),
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}

Please note that the number columns are different in each table.
I wanted to dump the data of Source table to Destination table. I meant to say that the rows of 2 columns in Source table to last 2 rows of Destination table.
And also my oreder of the columns in Destination table will vary. So i need to a way to dynamically insert the data in bulk. but i will know the column names for sure before inserting.

Is there anyway to bulk insert into these columns.


Your quick response will be appreciated

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Mar 10, 2014

Consider the following dataset:

COL1 | COL2 | COL3 | COL4
1 | FD | DR. A | Y
2 | FD | DR. A | Y
3 | FD | DR. A | N
4 | FD | DR. A | Y
5 | FD | DR. A | Y
6 | PF | DR. A | Y
7 | FD | DR. B | Y
8 | PF | DR. B | N

Consider the script below:

SELECT
COL2, COL3, COUNT(COL1) AS TOTALS
FROM CASES
GROUP BY COL2, COL3
ORDER BY COL3, COL2

The script above produces the following output:

COL2 | COL3 | TOTALS
FD | DR. A | 5
PF | DR. A | 1
FD | DR. B | 1
PF | DR. B | 1

I need to add one more column to the script that counts records with 'Y' in COL4 for each COL1 category (FD, PF). The final dataset would look like this:

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FD | DR. A | 5 | 4
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Data Access Tier: Stored Procedures
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different number of layers within a hierarchy
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Hierarchy 1


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Hierarchy 2


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Country = "USA", Work Group = "Network Infrastructure", Project Team = all teams
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Client = "Client A", Contract = "2007-2008 Maint", Project = "Accounts Payable Maintenance"
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How to implement the data interface (Stored Procs) to the Reports
Implement the business logic to handle the different hierarchies & different number of levelsI did get help earlier in this forum for how to handle a parameter having a specific value or NULL value (to select "all")
(WorkGroup = @argWorkGroup OR @argWorkGrop is NULL)

Any Ideas? Should I be doing this in SQL Statements or should I be looking to use Analysis Services.

Thanks for all your help!

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Transact SQL :: Select And Parse Json Data From 2 Columns Into Multiple Columns In A Table?

Apr 29, 2015

I have a business need to create a report by query data from a MS SQL 2008 database and display the result to the users on a web page. The report initially has 6 columns of data and 2 out of 6 have JSON data so the users request to have those 2 JSON columns parse into 15 additional columns (first JSON column has 8 key/value pairs and the second JSON column has 7 key/value pairs). Here what I have done so far:

I found a table value function (fnSplitJson2) from this link [URL]. Using this function I can parse a column of JSON data into a table. So when I use the function above against the first column (with JSON data) in my query (with CROSS APPLY) I got the right data back the but I got 8 additional rows of each of the row in my table. The reason for this side effect is because the function returned a table of 8 row (8 key/value pairs) for each json string data that it parsed.

1. First question: How do I modify my current query (see below) so that for each row in my table i got back one row with 19 columns.

SELECT A.ITEM1,A.ITEM2,A.ITEM3,A.ITEM4, B.*
FROM PRODUCT A
CROSS APPLY fnSplitJson2(A.ITEM5,NULL) B

If updated my query (see below) and call the function twice within the CROSS APPLY clause I got this error: "The multi-part identifier "A.ITEM6" could be be bound.

2. My second question: How to i get around this error?

SELECT A.ITEM1,A.ITEM2,A.ITEM3,A.ITEM4, B.*, C.*
FROM PRODUCT A
CROSS APPLY fnSplitJson2(A.ITEM5,NULL) B,  fnSplitJson2(A.ITEM6,NULL) C

I am using Microsoft SQL Server 2008 R2 version. Windows 7 desktop.

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SQL Server 2014 :: Creating A Table With Updatable Columns And Read-only Columns

May 26, 2015

Here is My requirement, I'm not sure if this is possible. Creating table called master like col1, col2 col3, col4 , col5 ...Where Col1, col2 are updatable - this can be done easily

Col3, col4 are columns in another table but these can be just a read only ?? Is this possible ? this is possible with View but not friendly with share point CRUD...Col 5 is a computed column of col 2 and col5 ? if above step can be done then sure this can be done I guess.

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PIVOT/CROSS TAB/Converting Rows To (multiple Group) Columns

Aug 3, 2007

Hello All,

I am trying to convert the rows in a table to columns. I have found similar threads on the forum addressing this issue on a high level suggesting the use of cursors, PIVOT Transform, and other means. However, I would appreciate if someone can provide a concrete example in T-Sql for the following subset of my problem.

Consider that we have Product Category, Product and its monthly sales information retrieved as follows:













CategoryID
ProductID
ProductName
Month
UnitPrice
QtySold
SalesAmount

1
1
Panel
Jan
5
10
50

1
1
Panel
Feb
5
15
75

1
1
Panel
Mar
5
20
100

1
2
Frame
Jan
10
30
300

1
2
Frame
Feb
10
25
250

1
2
Frame
Mar
10
20
200

1
3
Glass
Jan
20
10
200

1
3
Glass
Feb
20
20
400

1
3
Glass
Mar
20
30
600

I would like it to be converted into following result set:















CategoryID
ProductID
ProductName
UnitPrice
QtySold_Jan
SalesAmt_Jan
QtySold_Feb
SalesAmt_Feb
QtySold_Mar
SalesAmt_Mar

1
1
Panel
5
10
50
15
75
20
100

1
2
Frame
10
30
300
25
250
20
200

1
3
Glass
20
10
200
20
400
30
600

I have purposefully included QtySold here as I need to display both Quantity and Sales as measured column groups in my report. Can this be achieved in sql? I would appreciate any responses.

Thanks.

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Reporting Services :: Calculating Difference Between Columns Within Column Group

Jun 15, 2015

Given the attached report, is there an easy way of calculating the difference between the Today and QTR Start column? Because of the Account Group, the report looks like the sample shown on the second image.

Sample report:

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