I have this but how can I get all the columns of the row? I only want them distinct per these 2 cols.
SELECT DISTINCT OrdHst.ordernbr, OrdNbr.trans
FROM OrdHst JOIN OrdNbr
ON OrdHst.ordernbr = OrdNbr.ordernbr
ORDER BY 1,2
Could return:
12345 001
12345 AAA
12345 BBB
12345 CCC
12345 PWB
Hi, I have the following script segment which is failing:
CREATE TABLE #LatLong (Latitude DECIMAL, Longitude DECIMAL, PRIMARY KEY (Latitude, Longitude))
INSERT INTO #LatLong SELECT DISTINCT Latitude, Longitude FROM RGCcache
When I run it I get the following error: "Violation of PRIMARY KEY constraint 'PK__#LatLong__________7CE3D9D4'. Cannot insert duplicate key in object 'dbo.#LatLong'."
Im not sure how this is failing as when I try creating another table with 2 decimal columns and repeated values, select distinct only returns distinct pairs of values.
The failure may be related to the fact that RGCcache has about 10 million rows, but I can't see why.
Any ideas?
Can a View include an identity column? If a view can include an identity column, how do you go about setting a column as an identity column.
Also how do you go about removing an identity property that may exist on column in a View
I am using SQL Server 2005.
Hi,
SQL Server 2005 has a new very useful feature for creating non-clustered indexes called INCLUDE <columns> which are very helpful when trying to create covering indexes.
Does anyone know of a way to retrieve these INCLUDE columns through any of the system metadata tables? The sp_helpIndex stored procedure is what I currently use but that only returns the (sorted) index columns and not the include columns.
Thanks in advance,
Gordon Radley
How to include row values as columns in my select query. I have a table that stores comments for different sections in a web application. In the table below, I would like display each comment as a new column. I only want one row for each record_ID.
Existing table layout
table name - tblcomments
Record_ID Comment_Section_ID Comment
1 5 Test 5 comment
1 7 Test 7 comment
2 5 New comment
2 7 Old comment
3 5 Stop
3 7 Go
Desired table layout
table name - #tempComment
Record_ID Comment_Section_5 Comment_Section_7
1 Test 5 comment Test 7 comment
2 New comment old comment
3 Stop Go
Once I figure out how to get the data in the layout above, I will need to join the table with my record table.
table name - tblRecord
Record_ID Record_Type_ID Record_Status
1 23 Closed
2 56 Open
3 67 Open
4 09 Closed
5 43 In progress
I would like to be able to join the tables in the query below for the final output.
Select r.Record_ID, r.Record_Type_ID, r.Record_Status,
c.Comment_Section_5, c.Comment_Section_7
from tblRecord r
left outer join #tempComment c
on r.record_ID = c.record_ID
How I can get the data in the desired #tempComment table layout mentioned above?
Usually it is better to include the columns in the index that are in where clause, select list and join.I am thinking that the columns in the selected list is better to keep as index columns and the columns that are in the where clause is better to keep in key columns.Where do we use join column is it better to create as main key column or included column.
View 4 Replies View RelatedBased on a table like below I have created a report so that I can compare number of items in the main warehouse (LOCATION1) and the outlets (LOCATION2 and LOCATION3).
___________________________________
| ID | PRODUCT_INDEX | LOCATION Â | VALUE |
___________________________________
| 1 Â | INDEX1 Â Â Â Â Â Â | LOCATION1 | 1 Â Â Â Â |
___________________________________
| 2 Â | INDEX1 Â Â Â Â Â Â | LOCATION2 | 1 Â Â Â Â |
___________________________________
| 3 Â | INDEX1 Â Â Â Â Â Â | LOCATION3 | 0 Â Â Â Â |
___________________________________
| 4 Â | INDEX2 Â Â Â Â Â Â | LOCATION1 | 0 Â Â Â Â |
___________________________________
| 5 Â | INDEX2 Â Â Â Â Â Â | LOCATION2 | 0 Â Â Â Â |
___________________________________
| 6 Â | INDEX2 Â Â Â Â Â Â | LOCATION3 | 1 Â Â Â Â |
___________________________________
| 7 Â | INDEX3 Â Â Â Â Â Â | LOCATION1 | 1 Â Â Â Â |
___________________________________
| 8 Â | INDEX3 Â Â Â Â Â Â | LOCATION2 | 0 Â Â Â Â |
___________________________________
| 9 Â | INDEX3 Â Â Â Â Â Â | LOCATION3 | 1 Â Â Â Â |
___________________________________
The way I present data in my Report is as such. I want to show items that are available in the warehouse that should be moved to the outlets.
selectÂ
 a.PRODUCT_INDEX
, a.LOCATION1(VALUE)
, b.LOCATION2(VALUE)
, c.LOCATION3(VALUE) Â
fromÂ
[Code] .....
__________________________________________________________________
| PRODUCT_INDEX | LOCATION1 (VALUE) | LOCATION2 (VALUE) | LOCATION3 (VALUE)|
__________________________________________________________________
| INDEX1 Â Â Â Â Â Â Â | 0 Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â | 1 Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â | 0 Â Â Â Â Â Â Â Â Â Â Â Â Â Â |
__________________________________________________________________
| INDEX2 Â Â Â Â Â Â Â | 1 Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â | 0 Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â | 1 Â Â Â Â Â Â Â Â Â Â Â Â Â Â |
__________________________________________________________________
| INDEX3 Â Â Â Â Â Â Â | 1 Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â | 0 Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â | 1 Â Â Â Â Â Â Â Â Â Â Â Â Â Â |
__________________________________________________________________
I have added some parameters in my report to filter out products that are not available in warehouse (LOCATION1) and this works great.
select * from VIEW where 'LOCATION1(VALUE)' > 0 and ('LOCATION2(VALUE)' = 0 or 'LOCATION3(VALUE)' = 0)
__________________________________________________________________
| PRODUCT_INDEX | LOCATION1 (VALUE) | LOCATION2 (VALUE) | LOCATION3 (VALUE)|
__________________________________________________________________
| INDEX1 Â Â Â Â Â Â Â | 1 Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â | 1 Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â | 0 Â Â Â Â Â Â Â Â Â Â Â Â Â Â |
__________________________________________________________________
| INDEX3 Â Â Â Â Â Â Â | 1 Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â | 0 Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â | 1 Â Â Â Â Â Â Â Â Â Â Â Â Â Â |
__________________________________________________________________
Now the issue starts when I add a parameter to my report for user to choose which outlets (LOCATIONs) he wants in the equation. I know how to make a column disappear based on parameter value but how to take it out of equation? At the moment when user selects only LOCATION2 and not LOCATION3 then data is not filtered correctly:
__________________________________________________
| JOIN_ON_VALUES | LOCATION1 (VALUE) | LOCATION2 (VALUE) |
__________________________________________________
| INDEX1 Â Â Â Â Â Â Â Â | 1 Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â | 1 Â Â Â Â Â |
__________________________________________________
| INDEX3 Â Â Â Â Â Â Â Â | 1 Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â | 0 Â Â Â Â Â |
__________________________________________________
Ideally I would like a user to select random outlets (warehouse would be static on the report) and compare one or multiple and only show records that are 0 in the outlets.
I have this stored procedure:
ALTER PROCEDURE usp_My_Procedure ( @Country varchar(5) ) AS SELECT DISTINCT City, Short FROM Table1 WHERE Country = @Country
RETURN
I want to select just one of each 'city' and 'short' in the database....But this is not working correct......Whats wrong?
Lets say that I have a table that looks something like this
City Short
New York NY
Los Angeles LA
Lake Alice LA
Los Angeles LosAng
i have written a query to get the latest modified objects in Database and my problem is it is giving because of case condition.
how to get the distinct of all Columns .
Name
Raj
NULL
Raju
NULL
NULL
Ram
required output :
Name
Raj
Raju
Ram
here is my query
SELECT CASE WHEN type = 'TT' THEN name ELSE '' END AS TableType,
CASE WHEN type = 'P' THEN name ELSE '' END AS Procedures,
CASE WHEN type = 'FN' THEN name ELSE '' END AS Functions,
CASE WHEN type = 'U' THEN name ELSE '' END AS Tables,
CASE WHEN type = 'V' THEN name ELSE '' END AS Views,
CASE WHEN type = 'TR' THEN name ELSE '' END AS Triggers
FROM sys.objects
WHERE type IN ('TT','FN','U','V','P','TR')
AND DATEDIFF(D,modify_date,GETDATE())< 5
I have two rows of data:
Customer as string, Date as int
These values are predefined so I cannot use autoindex. I have to make sure that when I insert a row of data that it does not exist already int the database. there can be duplicate customers and duplicate dates but not duplicate customer/date combinations. What would the sql query be?
if (select count(1) from customers where customer = @customer and date = @date) =< 0
insert into table1(customer, date) values (@customer, @date)
end if
Hi guys, can you please help me to solve this problem. I have to get distinct row from offering column of xyz table.
I have to get offering1, offering2 from xyz table. But I am getting only offering1. I should not get duplicate rows from XYZ table.
SELECT DISTINCT @Staging_Off= COALESCE(@Staging_Off + ',', '')+ Offering
FROM xyz
WHERE xyz.Offering NOT IN( SELECT DISTINCT Offering.Offering
FROM Offering Join xyzON Offering.Offering= xyz.Offering
AND Offering.SourceSystem= @SourceSystem
)
i need to write a query and can't get it to work no matter how it try. Here's what i need:
T1
-------
a1
a2
datetime
a4
a5
.....
i need distinct max between a1&a2 which i can get no problem but i cant get that unique datetime that correspond to a1&a2 in 1 query because this is will a subquery in a big query. Creating another temp table etc is not an option for me.for every specific a1 there is many entries of a2 + timedate etc.
Code:
T1
-----------------------------
a1 a2 timedate
1 1 2014-04-31 10:59:38.000 ......
1 2 2014-04-31 10:59:39.000 .......
1 3 2014-04-31 10:59:39.500 .......
2 1 timedate .......
2 2 timedate .......etc
select distinct t1.a1
,max (t1.a2)
from t1
Please help. (I am using ASP, VB, SQL)I have a table with Office address information and it's ID. There could be a lot of offices in one city. But I would like to display only unique cities with certain names they start with and their id's.
View 5 Replies View RelatedHi,
I have a table with 3 columns - userID, score, dateCompleted
From this table I wish to select the highest score for each userID and the date for that score. If there is more than one row with the same userID and score (i.e. the user got the same score twice), I want to select the earliest date.
To clarify, there are multiple rows which have the same userID, and may have the same score too, but I want to pull out just 1 score for each userID.
I could do this quite easily if the DISTINCT operator worked on a per column basis, but it works on the entire row instead. Is there a way to SELECT DISTINCT column, but still output other columns in those rows?
I hope this is clear, but please let me know if I've confused you.
Hi Guys,
I have a slight problem, a query that i have written produces data with 2 primary keys the same... however, DINSTINCT wont work in this case as the rows are still different...
Is their a way to force 1 column to always be unique?
Heres the query:
SELECT TOP 5 ORDER_ITEM.ItemID AS 'Item ID', ITEM.ItemName AS 'Item Name',
(SELECT SUM(OrdItem2.ItemQuantity) FROM ORDER_ITEM OrdItem2
WHERE OrdItem2.ItemID = ORDER_ITEM.ItemID
) AS Total_Purchased, SUM(ORDER_ITEM.ItemQuantity) AS 'Customer Purchased',
CUSTOMER.customerForename AS 'Customer Forename',
CUSTOMER.customerSurname AS 'Customer Surname'
FROM ITEM, ORDER_ITEM, ORDER_T, CUSTOMER
WHERE ITEM.ItemID = ORDER_ITEM.ItemID
AND ORDER_ITEM.OrderID = ORDER_0510096.OrderID
AND ORDER_T.CustomerID = CUSTOMER.CustomerID
GROUP BY ORDER_ITEM.ItemID, ITEM.ItemName,
CUSTOMER.customerForename, CUSTOMER.customerSurname
ORDER BY Total_Purchased DESC
The query is supposed to select the TOP 5 Products sold as well as selecting the customer that purchased the greatest amount of that item and the amount they purchased.
Currently, i will get 2 duplicate rows (except for customers name and the items the purchased. Like this:
ItemID
83630Mathew Smith
8 366Tony Wattage
Which is kinda annoying.... is there anyway i can prevent this?
And also apart from the Where Joins... is there a more efficient way of writing this?
thx for reading :-)
--Philkills
T1
-------
a1
a2
datetime
a4
a5
.....
i need distinct max between a1&a2 which i can get no problem but i cant get that unique datetime that correspond to a1&a2 in 1 query because this is will a subquery in a big query. Creating another temp table etc is not an option for me. for every specific a1 there is many entries of a2 + timedate etc.
create table abc_test (
id int
,runs int
,date1 datetime
[code]....
I can either get distinct ID + latest date or ID + largest #ofRuns, both will do but also need the third column.
Hi,
I have a table with the following example data
idcol1col2col3
----------------------------
1abcnullnull
1abcnullnull
1null123null
4alphanullnull
4alphanullgamma
1abc987null
I would want to reduce that somehow to
idcol1col2col3
-----------------------------
1abc123null
1abc987null
4alphabetagamma
First thing in my mind was distinct over multiple columns, but I haven't found any resource mentioning that possibility.
I don't immediatly see a way without (complex) looping.
Can anybody put me on the right track?
btw, I know that Id is not an id.
It's a table var that holds an id of a table combined with fields of other tables.
I have the below working query
select distinct OrderNum from invoiceHistory where orderNum in (56387,57930,57933,57935)
I need to get all columns of the distinct ordernum as resultset. I am working to get the resultset of below.
select invoiceID,distinct orderNum,invoiceDate from invoiceHistory where orderNum in (56387,57930,57933,57935)
Hi, I think you can do this in oracle but I'm trying to figure a way to do it in ms sql.. I need to select a distinct combination of columns, like so...
select distinct(ItemName,ItemData,FID) from tblSIFups
Does anyone know how to achieve that? I have multiple data where I shouldn't and I don't have any control over the application so I need to clean it this way.
thanks, nicki
Hi all...I have a table in which some columns has distinct values and some hasduplicates..i wan to select all the columns with distinct values....noproblem if rows has null value in it....i tried a lot wit distinct andgroup by but nothing got worked out...Waitin for your reply.....Thanking you...
View 2 Replies View RelatedI want to build query to return how many rows are in this query:select distinct c1, c2 from t1But SQL won't accept this syntax:select count (distinct c1, c2) from t1Does someone know how to count multiple distinct columns? Thanks.--Disclaimer: This post is solely an individual opinion and does not speak onbehalf of any organization.
View 3 Replies View RelatedI'm exporting the following query to a datagrid, however in the result set, some values are duplicated (for various reasons... mostly old software and poor categorization)...On the records with identical values, I want to look at the account number and the DateOfService fields and search for joint distinct values and only display that...Current Example: ACCT NUM | DATE OF SERVICE |________________________________ 43490 | 10/01/2006 08:15:23 | 35999 | 10/10/2005 12:00:00 | 35999 | 10/24/2005 12:45:30 | 35999 | 10/10/2005 12:00:00 | 35999 | 10/10/2005 12:00:00 | 23489 | 10/15/2006 15:13:23 |Desired Result: ACCT NUM | DATE OF SERVICE |________________________________ 43490 | 10/01/2006 08:15:23 | 35999 | 10/10/2005 12:00:00 | 35999 | 10/24/2005 12:45:30 | 23489 | 10/15/2006 15:13:23 |Here is the query I'm working with... just can't figure out how to join or limit the results to ONLY unique matches in Acct Number AND DateOfService. "SELECT tblCH.ProcedureKey AS CPT, tblPC.Description, DATEDIFF(d, tblPat.BirthDate, " & _ " { fn NOW() }) / 365 AS Age, tblPat.LastName, tblPat.FirstName, tblPat.BirthDate," & _ " CAST(tblCH.AccountKey AS varchar) + '.' + CAST(tblCH.DependentKey AS varchar) AS Account, tblCH.DateOfService " & _ " FROM dbo.Procedure_Code___Servcode_dat tblPC INNER JOIN " & _ " dbo.Charge_History___Prohist_dat tblCH ON tblPC.ProcedureKey = tblCH.ProcedureKey RIGHT OUTER JOIN " & _ " dbo.Patient_Info___Patfile_dat tblPat ON tblCH.AccountKey = (tblPat.AccountKey AND tblCH.DependentKey) = tblPat.DependentKey "Any suggestions from y'all SQL gurus? I have to have this report ready for production by tomorrow morning and this is the last fix I need to make =Thank you =)
View 6 Replies View RelatedI am trying to just get a count of the number of distinct rows are in a table --- not looking at the entire row of fields, but only selecting a few.
i don't want to see the distinct rows, i just want a count of how many are in the table.
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 [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37742,'2005-05-31 20:35:43','ADMIN','0.0.0.0',7311)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37741,'2005-05-31 20:34:17','ADMIN','0.0.0.0',7314)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37740,'2005-05-31 20:34:17','ADMIN','0.0.0.0',1449)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37739,'2005-05-31 20:34:01','ADMIN','0.0.0.0',7313)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37738,'2005-05-31 20:33:54','ADMIN','0.0.0.0',7312)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37737,'2005-05-31 20:12:57','ADMIN','0.0.0.0',6681)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37736,'2005-05-31 20:09:40','ADMIN','0.0.0.0',6681)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37735,'2005-05-31 20:09:33','ADMIN','0.0.0.0',6258)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37734,'2005-05-31 20:09:03','ADMIN','0.0.0.0',6681)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37733,'2005-05-31 20:08:49','ADMIN','0.0.0.0',7289)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37732,'2005-05-31 20:08:44','ADMIN','0.0.0.0',6254)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37731,'2005-05-31 20:08:42','ADMIN','0.0.0.0',3443)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37730,'2005-05-31 20:08:40','ADMIN','0.0.0.0',7282)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37729,'2005-05-31 20:08:32','ADMIN','0.0.0.0',5983)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37728,'2005-05-31 20:08:24','ADMIN','0.0.0.0',6960)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37727,'2005-05-31 20:08:22','ADMIN','0.0.0.0',5918)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37726,'2005-05-31 20:08:18','ADMIN','0.0.0.0',25)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37725,'2005-05-31 20:08:15','ADMIN','0.0.0.0',5740)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37724,'2005-05-31 20:08:11','ADMIN','0.0.0.0',4)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37723,'2005-05-31 20:08:09','ADMIN','0.0.0.0',3)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37720,'2005-05-31 20:08:03','ADMIN','0.0.0.0',4)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37617,'2005-05-31 18:51:08','ADMIN','0.0.0.0',7290)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37615,'2005-05-31 18:51:00','ADMIN','0.0.0.0',7289)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37598,'2005-05-31 18:48:08','ADMIN','0.0.0.0',7282)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37597,'2005-05-31 18:48:04','ADMIN','0.0.0.0',6103)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37596,'2005-05-31 18:48:03','ADMIN','0.0.0.0',31)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37595,'2005-05-31 18:47:21','ADMIN','0.0.0.0',7282)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37594,'2005-05-31 18:47:12','ADMIN','0.0.0.0',6960)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37593,'2005-05-31 18:47:09','ADMIN','0.0.0.0',5918)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37592,'2005-05-31 18:47:02','ADMIN','0.0.0.0',5740)INSERT INTO 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View 2 Replies View RelatedI have a table called Employee which have 6 columns. This table are having 1000 records. Now I want to know the distinct value count of all these 6 columns as well as normal count. like this:
ColumnName DistinctCount NormalCount
Id 1000 1000
Name 1000 1000
Phone 600 600
PINCode 200 1000
City 400 1000
Gender 2 1000
‘Trying to SELECT INTO a new table all columns of a table based on a DISTINCT value of one column so for example:
SELECT *
INTO new_table
FROM old_name
WHERE old_table.column IS DISTINCT’
I need to run a SELECT DISTINCT query acrossmultiple fields, but I need to add another field that is NON-DISTINCTto my record set.Here is my query:SELECT DISTINCT lastname, firstname, middleinitial, address1,address2, city, state, zip, age, genderFROM gpresultsWHERE age>='18' and serviceline not in ('4TH','4E','4W')and financialclass not in ('Z','X') and age not in('1','2','3','4','5','6','7','8','9','0')and (CAST (ADMITDATE AS DATETIME) >= DATEDIFF(day, 60, GETDATE()))ORDER BY zipThis query runs perfect. No problems whatsoever. However, I need toalso include another field called "admitdate" that should be treatedas NON-DISTINCT. How do I add this in to the query?I've tried this but doesn't work:SELECT admitdateFROM (SELECT DISTINCT lastname, firstname, middleinitial, address1,address2, city, state, zip, age, gender from gpresults)WHERE age>='18' and serviceline not in ('4TH','4E','4W')and financialclass not in ('Z','X') and age not in('1','2','3','4','5','6','7','8','9','0')and (CAST (ADMITDATE AS DATETIME) >= DATEDIFF(day, 60, GETDATE()))ORDER BY zipThis has to be simple but I do not know the syntax to accomplishthis.Thanks
View 2 Replies View RelatedHello,
I have written a small asp.net application, which keeps record of the proposals coming from the branch offices of a bank in a tableCREATEd as a TABLE Proposals ( ID smallint identity(7,1), BranchID char(5), Proposal_Date datetime )
This app also calculates the total number of proposals coming from a specific branch in a given date bySELECTing COUNT(BranchID) FROM Proposals WHERE BranchID=@prmBranchID AND Proposal_Date=@prmDateand prints them in a table (my target table).
This target table has as many rows as the result of the "SELECT COUNT( DISTINCT Proposal_Date ) FROM Proposals"and excluding the first column which displays those DISTINCT Proposal_Dates, it also has as many columns as the result of the"SELECT DISTINCT BranchID FROM Proposals". This target table converts the DateTime values ToShortDateString so that we are able to see comfortably which branch office has sent how many proposals in a given day.
So far so good, and everything works fine except one thing:
Certain DateTime values in the Proposals table which are of the same day but of different hours (for ex: 11.11.2005 08:30:45 and11.11.2005 10:45:30) cause some trouble in the target table, where "SELECT COUNT( DISTINCT Proposal_Date ) FROM Proposals" is executed, because (as you might already guess) it displays two identical dates in ShortDateString form, and this doesn't make much sense (i.e. it causes redundant rows)
What I need to do is to get a result like (in a neat fashion :)
"SELECT COUNT( DISTINCT Proposal_Date ) <<DISTINCT ONLY IN THE DAYS AND NOT IN HOURS OR MINUTES OR SECONDS>> FROM Proposals"
So, how to do it in a suitable way?
Thanks in advance.
Hello:
I am running into an issue with RS2k PDF export.
Case: Exporting Report to PDF/Printing/TIFF
Report: Contains 1 table with 19 Columns. 1 column is static, the other 18 are visible at the users descretion. Report when printed/exported to pdf spans 2 pages naturally, 16 on the first page, 3 on the second, and the column widths have been adjusted to provide a perfect page span .
User A elects to hide two of the columns, and show the rest. The report complies and the viewable version is perfect, the excel export is perfect.. the PDF export on the first page causes every fith column, starting with the last column that was hidden to be expanded to take up additional width. On the spanned page, it renders the first column on that page correctly, then there is a white space gap equal to the width of the hidden columns and then the rest of the cells show with the last column expanded to take up the same width that the original 2 columns were going to take up, plus its width.
We have tried several different settings to see if it helps this issue or makes it worse. So far cangrow/canshrink/keep together have made no impact. It is not possible to increase the page size due to limited page size selection availablility for the client. There are far too many combinations of what the user can elect to show or hide to put together different tables to show and hide on the same report to remove this effect.
Any help or suggestion on this issue would be appreciated
This is probably a simple task but I just don't know how to do it. I need to return a recordset of details with a row of totals for selected columns. Something with a result like this:
Location Attendance Showings
======== ========== ========
JOHNS 210 3
SEREN 116 2
total 326 5
I know I could do this with a stored procedure, but I'd prefer to do it with just one sql statement. I tried compute but because I have a total on more than one column, the returned recordset is actually 3 rows.
Thanks in advance for any suggestions.
Hi everyone,
Is there a way in SQL to include and execute another file? For example, I have file1 and I would like to execute the contents of file2 from file1. How can this be done?
Thanks!
Need to find a way to do this. I have two tables, One with codes i.e. S,R,T and other with transactions looks like this:
Transaction table
Emp Trans Tot...
X55677 S 8
X55677 R 2
C22887 S 4
C22887 T 3
F66889 S 9
F66889 R 4
F66889 T 3
Code table
S
R
T
Not sure if the code table even helps. What I want to do is show all three transactions for each employee even if they don't have any (would be zero) like so...
Emp Trans Tot...
X55677 S 8
X55677 R 2
X55677 T 0
C22887 S 4
C22887 T 3
C22887 R 0
F66889 S 9
F66889 R 4
F66889 T 3
How can I get to this. I'm sure there must be a solution already posted for something like this but I'm not sure what to search for.
Thanks for your thoughts.
select *
from dbo.RPT_ContractDetails
where businessname like '%carl's%'
carl's should be a string.
Thanks