Hi,
I want to select the 8 most saled products from large orders table... the problem is that when i use the "distinct" sentence (something like this- "SELECT TOP 8 distinct id, products, productid FROM tbl_orders ORDER BY id") I get back the distinct of any columns.... (and any ID is distinct, of course), but if i don't include the id's in the distinct sentence, i can't order by id's.
can i get the last orders, only by distinct product, and not by distinct id, and order them by the id's?
Hi All,
I'm a beginner in SQL and would like some help with writing a query that needs to:
a) Return the latest time that an event happened (along with the event), and also
b) Determine if this event occurred more than 30mins ago.
For example, Table EVENT consists of the following data:
EVENT DateTime,
A 16/1/08, 14:03:55
B 16/1/08, 14:30:27
A 16/1/08, 17:42:18
I would like the results for the first part of query to be:
EVENT DateTime,
A 16/1/08, 17:42:18
B 16/1/08, 14:30:27
I have tried creating a query based off this thread, but for some reason it kept complaining that the EVENT column in Table EVENT didn't exist.
For the part b), I have no clue as to what I should do apart from that I would need to use NOW().
Any help would be appreciated.
MonkeyMark
Hi guys,
Just trying to select a set of Articles from a SQL Server Database. The Articles all have a Category ID which is stored in another table (as an Article could be in more than one Category). I want to select the Top 3 Articles in a Category. At the moment I have as my SQL;
"SELECT TOP 3 f.ArticleID, f.Heading, f.Summary, f.WrittenDate, f.ArticleURL FROM feedTable f LEFT JOIN Categories c ON f.ArticleID = c.ArticleID WHERE c.CategoryID=" + CategoryID + " AND c.ArticleID<>" + id + " ORDER BY c.CategoryID"
Which seems to work to an extent in that I do get three articles in the same Category appearing. However, there are sometimes duplicates appearing, so I need to incorporate a DISTINCT clause to the above. I'm not sure where to put this in though. Any ideas?
Thanks.
hi, I have a table that contains 11,169,000 rows that was downloaded from the main frame. There are alot of duplicate records in that table. I ran a query select * from tbl.... it still running and running and running ... it never stoped.... what seems to be the problem.... There are no primary keys or index in that table...
so my question , how would I deal with such table ... I want to run certain reports from that table and it seems that all my attempts failed? anyone can help
suppose i have aDataset with 11 rows. field1 with 5 rows of aaa, 6 rows of "bbb"
I want's some thing like
field1 rowcount
aaa 5
bbb 6
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?
Hi, This is quite an obvious problem, but for some reason I can't think through the solution. I have two columns, a datetime (datecreated) and an id (FK) othertableid (id)what I would like to be able to do is select a list of id and datecreated, but only chose the latest row for each id.So I guess it's a bit like a distinct on the id column, but ensuring the date returned is the top date. Please help
View 1 Replies View RelatedHi,
I'm just wondering if someone can help me with some SQL syntax stuff.I want to take this sql statement:
"SELECT TOP 50 tblProfile.chName, tblProfile.intCount FROM tblProfile, tblLinks WHERE (tblLinks.MemberID = tblProfile.MemberID) ORDER BY tblLinks.dtDateAdded DESC;"
and select only unique "chName's" records
I know "select distinct ProductId from Product " selects one product only one time how can i apply the same logic in a query like give bellow SELECT I.QuoteRequestItemId, I.ProductId ,P.StorePartNumber from QuoteRequestItem I left join Product P on I.ProductId = P.ProductId ie product with same productId should be considered only oncethere should not be more than one row with same productId
View 2 Replies View RelatedI have an SQL statement that looks like the following:
SELECT [Docs-Entities].entityID, entityName, COUNT([Docs-DocsEntities].filename) AS numDocs
FROM [Docs-Entities] LEFT JOIN [Docs-DocsEntities]
ON [Docs-Entities].entityID = [Docs-DocsEntities].entityID
GROUP BY [Docs-Entities].entityID, entityName
but the problem is that numDocs (the COUNT) is not returning a distinct count. In the DocEntities table, a particular document can actually have multiple entries with the same entityID so that produces inflated numbers for numDocs. But when I do a SELECT DISTINCT on a particular entityID, the results are less and don't match the numDocs number because I only need to list the document one time. This is not a huge issue, but it looks bad on my site.
Is there a way that I can make COUNT count distinctly?
Thanks for the help and I hope I worded that cllearly...
I am trying to append data from a source table to a destination table, the only difference between the tables is that a primary key has been established on the destination table. Problem is, the source table has a handful of duplicate values in the column that corresponds to primary on destination table; so when I run the query I get a primary key conflict. What I'd like to do is select distinct values from the source table to avoid the conflict, but am having trouble getting it to run. Here is the statement-
INSERT INTO cust_master
SELECT DISTINCT cust_master_temp.*
FROM cust_mast_temp LEFT OUTER JOIN
cust_master ON cust_master.temp.CUST_NUMBER = cust_master.CUST_NUMBER
Doesn't seem to be understanding "Distinct"
Any Ideas?
I have a table contains information related to sales:
SO number Order Date Customer SellingPerson
1001 2012/07/02 ABC Andy
1002 2012/07/02 XYZ Alan
1003 2012/07/02 EFG Almelia
1004 2012/07/02 ABC John
1005 2012/07/02 XYZ Oliver
1006 2012/07/02 HIJ Dorthy
1007 2012/07/02 KLM Andy
1008 2012/07/02 NOP Rowan
1009 2012/07/02 QRS David
1010 2012/07/02 ABC Joey
Now, i want to write a query using CTE that gives me first five distinct customer in result set:
SO number Order Date Customer SellingPerson
1001 2012/07/02 ABC Andy
1002 2012/07/02 XYZ Alan
1003 2012/07/02 EFG Almelia
1006 2012/07/02 HIJ Dorthy
1007 2012/07/02 KLM Andy
I wrote this query :
With t(so_number,order date,customer, SellingPerson)
as
(select top 5 so_number,order date,customer, SellingPerson from t)
select distinct billingcontactperson from t order by so_id
And getting this error:
Msg 252, Level 16, State 1, Line 1
Recursive common table expression 't' does not contain a top-level UNION ALL operator.
Good day,
I have a table of approximately 10 million rows. The table has 3 field making up the key, namely:
ID, Date, Program
I need to extract all the distinct Program's from the table.
I have don so with:
Select distinct Program from table
This unfortunately takes roughly 2 minutes which is far to long. Is there something I can do to help speed this process up?
Thanks in advance.
I have an action log table which records when a registrant record was viewed by a compnay employee. I have an sql query like this:
SELECT [ID]
,[RegistrantID]
,[EmployeeID]
,[UserID]
,[CompanyID]
[Code] ....
and data is like this:
IDRegistrantID EmployeeIDUserID CompanyID VacancyID Action ActionDate
17931629515163213NULL 42013-08-04 16:45:40.457
17921629215163213NULL 42013-08-04 16:45:33.003
1791NULL15163213NULL 32013-08-04 16:45:23.660
1790162959162893NULL 42013-08-04 16:45:09.543
[Code] ....
I want to select distinct views to a registrantid record ( the first ones) in one year. if a registrant was viewed 10 tmes a year then it will show only first time it was viewed. If it was viewed 10 times by an employeed in 2 years then it will show first time it was viewed. if it was viewed by 2 employees of same company 10 times in one year then it first time viewed record will be shown. if it was seen 10 times by 2 employees of two different companies in one year then first record of two companies will be shown. do i need to use group by or what ?
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
I have the following Table:DataIDuserIDTimeStampI need to create a query that selects the "newest" records for all distinct users. I'm hoping to get this done in one query. I know I could write multiple queries to find all distinct users, and then the newest records based on that... and so on... but I'm not sure that's the most efficient. I have the following so far, but is it the most efficient (I have indexing on most of my columns)? SELECT DATA.DataID, DATA.UserID, UN.vchName, UN.vchImage, U.vchFirstName + ' ' + U.vchLastName AS 'FullName' FROM [tblData] DATA INNER JOIN [tblUnits] UN ON DATA.UserID = Un.UserID INNER JOIN [tblusers] U ON U.UserID = UN.UserID WHERE GPS.intGPSDataID IN (SELECT MAX([tbLData].DataID) FROM [tbLData] GROUP BY [tbLData].UserID)
View 4 Replies View RelatedI am trying to write a SQL DataSource Statement that will do the following:
Select the Distinct Dates, count up the number of rows with that date
So for example:
Date Number with that Date
12/12/2007 3
14/12/2007 2
Database:
12/12/2007 Content 1
14/12/2007 Content 2
12/12/2007 Content 3
14/12/2007 Content 4
12/12/2007 Content 5
I have 3 tables:
News:
bigint NewId
nvarchar NewTitle
datetime NewDate
nvarchar NewBrief
--------------------------
Category:
int CatId
nvarchar CatName
--------------------------
NewsRelCategory:
bigint Id
int CategoryIdFk
bigint NewsIdFk
--------------------------
I want to select NewId, NewDate and Distinct NewTitle
I tried this but NewTitle doesn't distinct:
SELECT
FROM dbo.Category INNER JOIN
NewsRelCategory ON dbo.Category.CatId = NewsRelCategory.NrcCategoryIdFk INNER JOIN
dbo.News ON NewsRelCategory.NrcNewsIdFk = dbo.News.NewId
I have a DB with the fields: Id, Date, Name, Status.
Now I want to select all distinct names with the most recent corresponding status.
With the SELECT DISTINCT Name, I get only one record per different name which is ok.
Now I want to add next to each different name, the most recent added status.
Can I combine those 2 in 1 query? I want to show them using PHP on a website.
Now I get a table with a row for each different name, but I can't add a second column where the most recent Status is showed for that name.
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 [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37590,'2005-05-31 18:46:59','ADMIN','0.0.0.0',6587)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37583,'2005-05-31 18:46:40','ADMIN','0.0.0.0',9)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37582,'2005-05-31 18:46:31','ADMIN','0.0.0.0',1691)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37580,'2005-05-31 18:46:18','ADMIN','0.0.0.0',9)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37576,'2005-05-31 18:46:04','ADMIN','0.0.0.0',6979)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37575,'2005-05-31 18:46:02','ADMIN','0.0.0.0',5942)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37574,'2005-05-31 18:46:01','ADMIN','0.0.0.0',31)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37569,'2005-05-31 18:45:24','ADMIN','0.0.0.0',6979)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37568,'2005-05-31 18:45:16','ADMIN','0.0.0.0',6103)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37567,'2005-05-31 18:45:16','ADMIN','0.0.0.0',31)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37563,'2005-05-31 18:44:07','ADMIN','0.0.0.0',6979)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37562,'2005-05-31 18:44:05','ADMIN','0.0.0.0',6103)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37561,'2005-05-31 18:44:04','ADMIN','0.0.0.0',31)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37545,'2005-05-31 18:40:30','ADMIN','0.0.0.0',6979)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37544,'2005-05-31 18:40:30','ADMIN','0.0.0.0',6103)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37543,'2005-05-31 18:40:12','ADMIN','0.0.0.0',31)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37536,'2005-05-31 18:34:19','ADMIN','0.0.0.0',6979)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37535,'2005-05-31 18:34:15','ADMIN','0.0.0.0',6103)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37534,'2005-05-31 18:34:14','ADMIN','0.0.0.0',31)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37532,'2005-05-31 18:27:02','ADMIN','0.0.0.0',6979)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37531,'2005-05-31 18:27:00','ADMIN','0.0.0.0',6103)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37530,'2005-05-31 18:27:00','ADMIN','0.0.0.0',31)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37518,'2005-05-31 18:00:34','ADMIN','0.0.0.0',6979)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37517,'2005-05-31 18:00:31','ADMIN','0.0.0.0',6103)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37516,'2005-05-31 18:00:31','ADMIN','0.0.0.0',31)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37515,'2005-05-31 17:59:41','ADMIN','0.0.0.0',6979)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37514,'2005-05-31 17:59:37','ADMIN','0.0.0.0',6103)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37513,'2005-05-31 17:59:37','ADMIN','0.0.0.0',31)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37512,'2005-05-31 17:59:01','ADMIN','0.0.0.0',6979)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37511,'2005-05-31 17:58:58','ADMIN','0.0.0.0',6103)INSERT INTO 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View 2 Replies View RelatedI have the following code, which returns a list of nearby cities based on a city name as input. Most cities have multiple zipcodes per city name, thus it can list multiple rows with the same city name, but with different zipcodes like below:
Zip | Cityname
111 belmont
112 belmont
113 belmont
114 san francisco
115 san francisco
---------------- etc----------------
I do not really care about each group of zipcodes. I only need one pair of zipcode/city name like the following:
ZIP | City name
111 belmont
114 San Francisco
How do I change my select to only return a distinct city name. I do not care which if the city/zipcodes it returns from the similar city.
The select statement is below:
CREATE PROCEDURE ZipSearchByCity
@city varchar(40),
@State varchar(5),
@distance int
AS
SELECT distinct o.City AS City, o.zip_code, o.State AS State,
(3956 * (2 * ASIN(SQRT(
POWER(SIN((z.RADlatitude-o.RADlatitude)/2),2) +
COS(z.RADlatitude) *
COS(o.RADlatitude) *
POWER(SIN((z.RADlongitude-o.RADlongitude)/2),2)
)))) dist
FROM zipcodes z,
zipcodes o,
zipcodes a
WHERE z.city = @city AND
z.State = @State AND
z.zip_code=a.zip_code AND
(3956 * (2 * ASIN(SQRT(
POWER(SIN((z.RADlatitude-o.RADlatitude)/2),2) +
COS(z.RADlatitude) *
COS(o.RADlatitude) *
POWER(SIN((z.RADlongitude-o.RADlongitude)/2),2)
)))) < @distance
GO
Thanks,
Christian
I'm stuck. I have a table that I want to pull some info from that I don''t know how to.
There are two colomuns, one is the call_id column which is not unique and the other is the call_status column which again is not unique. The call_status column can have several values, they are ('1 NEW','3 3RD RESPONDED','7 3RD RESOLVED','6 PENDING','3 SEC RESPONDED','7 SEC RESOLVED').
i.e example, this is the existing data.
Call_id Call_Status
555555 3 3RD RESPONDED
235252 7 SEC RESOLVED
555555 7 3RD RESOLVED
325252 6 PENDING
555555 6 PENDING
325235 3 SEC RESPONDED
555555 1 NEW
This is the data I want...
Call_id Call_Status
555555 3 3RD RESPONDED
555555 6 PENDING
555555 7 3RD RESOLVED
The call_id could be any number, I only want the 6 PENDING rows where there are other rows for that call_id which have either 3 3RD RESPONDED or 7 3RD RESOLVED. If someone knows how it would be a great help.
Cheers,
Chris
Dear Gurus,I have table with following entriesTable name = CustomerName Weight------------ -----------Sanjeev 85Sanjeev 75Rajeev 80Rajeev 45Sandy 35Sandy 30Harry 15Harry 45I need a output as followName Weight------------ -----------Sanjeev 85Rajeev 80Sandy 30Harry 45ORName Weight------------ -----------Sanjeev 75Rajeev 45Sandy 35Harry 15i.e. only distinct Name should display with only one value of Weight.I tried with 'group by' on Name column but it shows me all rows.Could anyone help me for above.Thanking in Advance.RegardsSanjeevJoin Bytes!
View 4 Replies View Relatedhow can I select 10 random rows from a table?
Please help
Hello,
Does anyone know how to select rows by their position in a table. I need to be able to e.g return the 2,000th - 2,200th rows as a set. I will have many concurrent clients connecting to this table so I do not want to use cursors. The table is 800,000 in length.
Any ideas people?
Thanks,
Alan
Hi,
I've a table the following table:
ActDate datetime
CustomerID int
data on the table:
6/27/2007 10:23:22 AM
113
6/27/2007 10:25:20 AM
113
6/27/2007 11:38:34 AM
76
6/27/2007 5:23:22 PM
212
6/28/2007 11:58:58 AM
110
6/28/2007 12:24:17 PM
110
6/28/2007 12:27:15 PM
110
7/3/2007 5:16:44 PM
63
7/3/2007 5:16:56 PM
63
7/12/2007 3:35:50 PM
98
7/13/2007 3:30:05 PM
110
7/13/2007 3:32:49 PM
110
7/13/2007 3:38:01 PM
110
7/13/2007 3:46:00 PM
110
7/14/2007 10:25:55 AM
82
7/15/2007 9:19:11 AM
18
7/21/2007 3:53:16 PM
34
7/23/2007 11:53:43 AM
84
7/23/2007 11:55:24 AM
84
7/23/2007 11:55:48 AM
84
7/24/2007 7:41:31 PM
116
7/27/2007 9:39:52 AM
110
7/27/2007 12:41:49 PM
18
7/28/2007 11:00:55 AM
113
7/31/2007 10:11:31 AM
82
8/1/2007 5:56:23 PM
98
8/2/2007 7:22:16 PM
77
8/2/2007 8:28:11 PM
77
I need to filter the table in order to have only a record by CustomerID with the higher date.
Thanks in Advance
JP
I have a database for a CMS I have made, which has a column called ‘tag’ everytime a page is updated it inserts another row in to the table with the same tag but with a updated date. i use this method so i have a version history
What I want to get out is rows that have distinct tag columns and is also the newest row associated with that ‘tag’.
I have a temporary table that contain 1000 rows. I want to insert records from 900 to 1000 into another temporary table. Is ther any query that will do this in SQL server. With cursors I can do that but I need one shot query. Please give me some suggestions.
I using this query but it is not returning any rows.
select * into #t2 from #t1 t1 where not exists( select top 900 * from #t1 t2)
Hello all.
Im trying to write a stored procedure which i can stipulate the top number of rows it returns. I know i use the following syntax:
SELECT TOP 5
And i know i need to pass the number of rows i want as a variable to the stored proceudre like:
@Top as Integer
But when i try and do the following. SQL Server complains about the syntax:
SELECT TOP @Top
Can anyone advise me how i should be doing this?
I have two tables a stock table and a price table and I want to select the correct price for the Stock Date.
Problem is sometimes there is a promotion date in the price table between the live dates so the rows double up. Below is my sql but I get over 17,000 rows when it should be about 16,964.
I will post up the table and data.
SELECT a.[Company]
,a.[ProductID]
,a.[ColourSize]
,a.[StockDate]
,a.[Quantity]
,b.[Ticket Price]
FROM[Stock_Ledger] a
LEFT OUTER JOIN [Product_Prices] b
ON a.[Company] = b.[Company]
AND a.[ProductID] = b.[ProductID]
AND a.[ColourSize] = b.[ColourSize]
AND a.[StockDate] BETWEEN b.[StartDate] AND b.[EndDate]
ORDER BY a.[StockDate],a.[ProductID],a.[ColourSize]
Mike writes "Hi,
I am a beginner with TSQL and I hope this is not a silly question :-)
Lets say I have a table with 2 columns, 1 a primary key identity field with increment 1 and the other a char.
EG:
ID ANIMAL
---------
1 CAT
2 DOG
3 PIG
4 RAT
5 PIG
6 DOG
7 DOG
.
.
And so on with many entries
How do I return a selection of rows that have the contents of the ANIMAL field matching 1 or more times
EG:
From above table I want to return rows 2,6 & 7 and 3 & 5 ONLY and not 1(CAT) and 4(RAT) because they only occur once.
In my real life situation I have unknown numeric data in field 2 but the principal is the same.
How do I do this?
Thanks in Advance
Mike"
I have a table stock, on the table I have company_name, stock_value, sector.
Now I want to get top five rows from this table depending on the five highest value of stock_value and for each sector. The query has to run on both oracle DB and Microsoft SQL Server with top priority MSSQL.
I will appreciate if you help me on this
jideofor