Is there a method to construct select statement on a table without using column names, based on column numbers.
I want to create a function which returns the contents columns 1 and 2, given just the name of the table.
An Execute statement, after retrieving the column names with Column_Name is not useful as they are not permitted in functions.
I have a numeric(18,1) field which has values such as 433321.0, 433321.1, 433321.2.
Is there a method I can put in the WHERE clause to only select records that dont have a decimal value??
E.g (433321, 433321.0)
I have a table which has two column like following table and I don't know how can I update theses two column with identity numbers but just the fields which are equal 111.
my example table:
numez numhx
111 111
111 111
0 111
111 0
111 0
and my results should be:
numez numhx
1 2
3 4
0 5
6 0
7 0
Hi,
I have a table that has 3 different types of dates (date1, date2, date3), and they represent the edit times of the 3 different sections on the website.
How do I select only one of those three that's the most recent? (It would represent the most recent edit on the website overall).
It would be an easy task if it was only one column - I would simply select the MAX, but I have to be selective between 3 different columns and pick the one I "like".
Thanks,
NB
Hi,
I have a dbf file and that file has around 154 columns and in that i want to pull just 88 columns to my sql server database... I am using a OLedb connection and a data reader to read the data from the DBF file and then using a sqlbulcopy to insert the data into SQL server 2005 database. I have created a destination table for the 88 columns. This is my select statement for the dbf file. I have also used a Rownumber which is Int identity so i am using a 0 in the first column.
Dim command As Data.OleDb.OleDbCommand = New Data.OleDb.OleDbCommand("Select 0,* from FUND.DBF", connection)
Now my question is Since i want to pull 88 columns instead of 154 column, I was thinking to give a select statement like
("Select, 0,Column1,.....Column88 From Fund.DBF", connection)
SO instead of doing this is there is a way that i can specify in the sql statement that will tell it not to pull the rows after the 88th column.
Any help will be appreciated.
Regards,
Karen
I have the following Tables:
Table1: Row1
----------------------------------
Name Gary
Garbage1 A
Garbage2 B
Table2: Row1 Row2 Row3
------------------------------------------------------------------
Name Gary Gary Gary
Value 1 2 3
Desc Day Afternoon Night
Table1 has a 1 to Many relationship with Table2
Id Like to have the select statement Return the data as follows:
Gary,A,B,Day,1,Afternoon,2,Night,3
not like this:
Gary A,B,Day,1
Gary A,B,Afternoon,2
Gary A,B,Night,3
Any Ideas?
I have 3 tables. They are inner joined. When I choose to select from all three tables I get a cartesian product.I've used distinct and I've tried cross apply with top 1. Top 1 brings back the right amount of records but it repeats the fields used in that select top N.
Basic question. Can you select from 3 different tables and avoid a cartesian result? I can have all three tables joined and with distinct I can get records from two of the tables without a cartesian. It is when I choose to select from a third is where the cartesian appears.If this is possible, what other tsql commands/constructs should I be experimenting with? URL....
I have a product table that has a productID column and a productName column. Then I have a productCategory table that associates productIDs with categoryIDs. And lastly I have a category table containing a categoryID and categoryName. I want to write a query that will return a table with three columns...productID, productName, and and calculated column containing the categories the product belongs to separated by a comma. A sample output would be...
ProductID____ProductName____Categories
1____________Green Flats____Footwear, Accessories, Women's Apparel
2____________Purple Belt____Accessories, Women's Apparel
3____________Pink Tunic_____Women's Apparel
If any of this isn't clear please feel free to write with questions.
So far I have this query -
SELECT Products.ProductID, ProductName, CategoryName FROM Products, ProductCategory, Categories WHERE Product.ProductID = ProductCategory.ProductID AND Categories.CategoryID = ProductCategory.CategoryID
This returns....
ProductID_____ProductName____CategoryName
1_____________Green Flats____Shoes
1_____________Green Flats____Accessories
1_____________Green Flats____Women's Apparel
2_____________Purple Belt____Accessories
2_____________Purple Belt____Women's Apparel
etc....
Any suggestions on how to remedy this???
I have a question in SQL server. For example I have a table which has two column like following table and I don't know how can I update theses two column with identity numbers but just the fields which are equal 111.
Example table:
numez numhx
111 111
111 111
0 111
111 0
111 0
and my results should be:
numez numhx
1 2
3 4
0 5
6 0
7 0
I want to run a query that selects rows from the table where a datetime column has null values;
select * from Orders where IsNull(dClosedDate,'Null') = 'Null'
However i get this error:
Conversion failed when converting datetime from character string.
Any help appreciated
I have table 1 from which I select some values belonging to users.In table 2 I store tips a user might give: tipid, tiptitle, tiptext,tipcreatedateA user may give more than one tip.But now I want a query that selects the info of a SINGLE user and the LATEST tip he created, so resultset might look like:username lastname sex tiptitle tiptext tipcreatedateSo even though a user might have given more tips, only the latest will be retreived...and thus 1 row for a particular user is returned...How would I construct such a query? The problem is that I want to get exactly 1 row but more than 1 column from the table 2, so I think I cannot use the SQL Server "TOP" command...
View 6 Replies View RelatedHi, 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 table1 and table2.In table1 I have a column of numbers, numbers1.In table2 I have a column of numbers, numbers2.I'd like to select the highest number represented in either column.Example:table1:column1--------------345565643656555676table2:column2--------------3456564556456456456456The number I would want would be 56456 since it's the largest numberout of all combined.How can I get that number with one select statement?--[ Sugapablo ][ http://www.sugapablo.com <--music ][ http://www.sugapablo.net <--personal ][ Join Bytes! <--jabber IM ]
View 1 Replies View RelatedI have 6 columns, all with dates within them, i.e.Proposed Start Date 1Proposed Start Date 2Proposed Start Date 3Proposed Finish Date 1Proposed Finish Date 2Proposed Finish Date 3What I need to do is narrow this down into two fields:Start DateFinish DateSo I need to find the newest value from the columns. i.e.If PS1 filled PS2 and PS3 empty, then Start Date = PS1If PS3 empty and PS2 filled, then Start Date = PS2If PS3 filled then PS3and similarly for Proposed Finish Dates.Anyone knew how I can do this.(Maybe the following will help for the programmers out there:If PS3 <> nullThen StartDate = PS3Else if PS2 <> nullThen StartDate = PS2ElseStartDate = PS1End IFJagdip
View 5 Replies View Related/*Subject: How to build a procedure that returns differentnumbers of columns as a result based on a parameter.You can copy/paste this whole post in SQL Query Analyzeror Management Studio and run it once you've made surethere is no harmful code.Currently we have several stored procedures which finalresult is a select with several joins that returns manycolumns (150 in one case, maybe around 50 the average).We have analyzed our application and found out that mostof the time not all the columns are used. We haveidentified 3 different sets of columns needed indifferent parts of the application.Let's identify and name these sets as:1- simple set, return the employee list for example2- common set, return the employee information (whichinclude the simple set)3- extended set, return the employee information (whichinlude the common set which itself includes the simpleset) + additional information from other tables, maybeeven some SUM aggregates and so on (I don't know forexample, how much sales the employee did so far).So the bigger sets contain the smaller ones. Please keepreading all the way to the bottom to better understandtechnically what we are trying.Here is a code sample of how our current procedureswork. Please note that the passing parameter we can eitherpass a Unique Identifier (PK) to retrieve a single record,or if we pass for example -1 or NULL we retrieve all theemployee records.*/create table a ( apk int primary key, af1 int, af2 int, af3 int, af4int, af5 int, af6 int)create table b ( bpk int primary key, bf1 int, bf2 int, bf3 int, bf4int, bf5 int, bf6 int)create table c ( cpk int primary key, cf1 int, cf2 int, cf3 int, cf4int, cf5 int, cf6 int)create table d ( dpk int primary key, df1 int, df2 int, df3 int, df4int, df5 int, df6 int)insert a values (1,1111,1112,1113,1114,1115,1116)insert a values (2,1211,1212,1213,1214,1215,1216)insert a values (3,1311,1312,1313,1314,1315,1316)insert a values (4,1411,1412,1413,1431,1415,1416)insert a values (5,1511,1512,1513,1514,1515,1516)insert a values (6,1611,1612,1613,1614,1615,1616)insert b values (1,2111,2112,2113,2114,2115,2116)insert b values (2,2211,2212,2213,2214,2215,2216)insert b values (3,2311,2312,2313,2314,2315,2316)insert b values (4,2411,2412,2413,2431,2415,2416)insert b values (5,2511,2512,2513,2514,2515,2516)insert b values (6,2611,2612,2613,2614,2615,2616)insert c values (1,3111,3112,3113,3114,3115,3116)insert c values (2,3211,3212,3213,3214,3215,3216)insert c values (3,3311,3312,3313,3314,3315,3316)insert c values (4,3411,3412,3413,3431,3415,3416)insert c values (5,3511,3512,3513,3514,3515,3516)insert c values (6,3611,3612,3613,3614,3615,3616)insert d values (1,4111,4112,4113,4114,4115,4116)insert d values (2,4211,4212,4213,4214,4215,4216)insert d values (3,4311,4312,4313,4314,4315,4316)insert d values (4,4411,4412,4413,4431,4415,4416)insert d values (5,4511,4512,4513,4514,4515,4516)insert d values (6,4611,4612,4613,4614,4615,4616)gocreate procedure original_proc @pk int asif @pk = -1set @pk = nullselecta.af1, a.af2, a.af3, a.af4, b.bf1, b.bf2, b.bf3, b.bf4, c.cf1, c.cf2,c.cf3, c.cf4, d.df1, d.df2, d.df3, d.df4fromajoin b on a.apk = b.bpkjoin c on b.bpk = c.cpkjoin d on c.cpk = d.dpkwherea.apk = ISNULL(@pk, a.apk)goexec original_proc 1go/*Currently the above SP is a single SP that is basicallyreturning ALL possible needed data. However most of thetime we might need to call and retrieve a simple employeelist.So we thought about modifying the stored procedure byadding an extra parameter that will indicate which setof columns to return.For modifying the stored procedure in order to get avariable name of columns returned and avoidingrepeating code, we built 4 objects: the storedprocedure being called, one table function and 2 views.One table function so that we are able to pass a parameter.The views since they do not accept parameters they arealways joined at least with the inline table function.The stored procedure generates in its body a dynamicSQL statement, where it queries the table function andthe views, depending which set is required. Here is acode sample of our current design (you need to run theprevious code in order for this to work).*/create function _1_set(@pk int)returns tableas return(select a.apk, a.af1, a.af2, a.af3, a.af4, b.bf1, b.bf2from ajoin b on a.apk = b.bpkwhere a.apk = ISNULL(@pk, a.apk))gocreate view _2_set asselect b.bpk, b.bf3, b.bf4, c.cf1, c.cf2from bjoin c on b.bpk = c.cpkgocreate view _3_set asselect c.cpk, c.cf3, c.cf4, d.df1, d.df2, d.df3, d.df4from cjoin d on c.cpk = d.dpkgocreate procedure new_proc @pk int, @set int asdeclare @sql nvarchar(4000)if @pk = -1set @pk = nullset @sql = 'select * from _1_set(@pk) fs 'if @set 1set @sql = @sql + 'join _2_set ss on fs.apk = ss.bpk 'if @set 2set @sql = @sql + 'join _3_set ts on ss.bpk = ts.cpk 'exec sp_executesql @sql, N'@pk int', @pkgoexec new_proc 1, 3go/*For executing the new procedure, we pass parameter 1for the smaller set, 2 for the medium size set or 3for the complete set.For example when we want to retrieve the common setwe pass the Unique Identifier of the employee to theSP and then we pass the type of set we want to useas the second parameter (1 for simple set, 2 forcommon set and 3 for extended set).The SP has the IF and dynamic SQL to add more JOINs.We would like to know what you think of this approachand if you know a simpler way of doing it.For cleaning up the test objects run the following code.*/drop procedure original_procdrop procedure new_procdrop function _1_setdrop view _2_setdrop view _3_setdrop table adrop table bdrop table cdrop table dAs always I would appreciate any feedback, opinion,comments, ideas and suggestions.Thank you
View 9 Replies View RelatedHi there, im still learning SQL so thanks in advance.I have a table with columns of customer's information, [customerID], [customerFirst], [customerLast], , [program] ... other columns ... There will be entries where there can be duplicate customerFirst and customerLast names. I would like to just return a single entry of the duplicate names and all associated row information. IE: [customerID], [customerFirst], [customerLast], [ email], [program] 01 Bill Smith bill.smith@hotmail.com ymca 02 Bill Smith bill.smith@hotmail.com Sports 03 jon doe jon.doe@hotmail.com AAA 04 jon doe jon.doe@hotmail.com Ebay 05 Paul Sprite paul.sprite@hotmail.com Rec Desired Returned result: 01 Bill Smith bill.smith@hotmail.com ymca 03 jon doe jon.doe@hotmail.com AAA
05 Paul Sprite paul.sprite@hotmail.com Rec So in my code i have this:dAdapter = new SqlDataAdapter("SELECT * FROM [Poc_" + suffix + "] WHERE (SELECT DISTINCT [CustomerLastName], [CustomerFirstName], [CustomerEmail] FROM [Poc_" + suffix + "])", cnStr); dAdapter.Fill(pocDS, "Data Set"); However this is throwing up an error when i build the app: An expression of non-boolean type specified in a context where a condition is expected, near ')'.
Description: An
unhandled exception occurred during the execution of the current web
request. Please review the stack trace for more information about the
error and where it originated in the code.
Exception Details: System.Data.SqlClient.SqlException:
An expression of non-boolean type specified in a context where a
condition is expected, near ')'.
Source Error:
Line 52: //dAdapter = new SqlDataAdapter("SELECT DISTINCT * FROM [Poc_" + suffix + "] ORDER BY [CustomerLastName]", cnStr); Line 53: dAdapter = new SqlDataAdapter("SELECT * FROM [Poc_" + suffix + "] WHERE (SELECT DISTINCT [CustomerLastName], [CustomerFirstName], [CustomerEmail] FROM [Poc_" + suffix + "])", cnStr); Line 54: dAdapter.Fill(pocDS, "Data Set");Line 55: Line 56: //Dataset for name comparison 1: Can someone explain to me why this error is happening?2: Can soemone confirm that my intentions are correct with my code?3: If I'm completely off, can someone steer me in the right direction?Thanks alot!-Terry
I want to select columns from different tables into a single table...Not sure if a temp table is suited for this and if so how I should implement it (NOTE: this query will be executed many times by different users at the same time, so I'd rather avoid temp tables!)I have:TABLE1idfirstnamedescriptioncreatedateTABLE2idcarnamespecificationsimportdateNow, I want a resultset that has the columns (columns from other tables from which the values should be retreived are behind the desired columns):id (TABLE1.id, TABLE2.id)title (TABLE1.firstname , TABLE2.carname)description (TABLE1.description , TABLE2.sepcifications)date (TABLE1.createdate , TABLE2.importdate)Thanks!
View 1 Replies View RelatedGreetings.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 [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37510,'2005-05-31 17:58:57','ADMIN','0.0.0.0',31)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37509,'2005-05-31 17:56:16','ADMIN','0.0.0.0',6610)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37508,'2005-05-31 17:56:07','ADMIN','0.0.0.0',6989)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37507,'2005-05-31 17:56:01','ADMIN','0.0.0.0',6610)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37506,'2005-05-31 17:55:56','ADMIN','0.0.0.0',7271)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37505,'2005-05-31 17:55:52','ADMIN','0.0.0.0',7199)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37504,'2005-05-31 17:55:43','ADMIN','0.0.0.0',7271)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37503,'2005-05-31 17:55:41','ADMIN','0.0.0.0',7199)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37502,'2005-05-31 17:53:57','ADMIN','0.0.0.0',7269)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37501,'2005-05-31 17:53:44','ADMIN','0.0.0.0',6979)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37500,'2005-05-31 17:53:40','ADMIN','0.0.0.0',6103)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37499,'2005-05-31 17:53:40','ADMIN','0.0.0.0',31)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37498,'2005-05-31 17:52:18','ADMIN','0.0.0.0',7269)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37497,'2005-05-31 17:52:06','ADMIN','0.0.0.0',7271)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37496,'2005-05-31 17:51:28','ADMIN','0.0.0.0',6979)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37495,'2005-05-31 17:51:22','ADMIN','0.0.0.0',6103)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37494,'2005-05-31 17:51:22','ADMIN','0.0.0.0',31)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37493,'2005-05-31 17:51:01','ADMIN','0.0.0.0',6979)INSERT INTO [stat_hits]([hit_id],[hit_date],[user_id],[hit_ip],[shp_id]) VALUES(37492,'2005-05-31 17:50:57','ADMIN','0.0.0.0',6103)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(3,'/scripts/iMenu.asp?_Ref=450493&_XID=40000000&ParentID=',2245)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(4,'/scripts/objects/MyZBF.asp?_XID=19999900&_Ref=450493&_Ref2=',2917)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(7329,'/scripts/objects/list.asp?_XID=70000005&_Ref=1398186089&_reset=true&_table=2002000&|MenuID=40000000',0)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(7330,'/scripts/objects/edit.asp?_XID=70000005&_Ref=1398186089&_table=2002000&_item=ADAMDOUG',5)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(7331,'/scripts/objects/edit.asp?_XID=70000028&_Ref=1398186089&_table=1002009&_item=225000000',0)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(7332,'/scripts/objects/edit.asp?_XID=70000028&_Ref=1398186089&_table=1002009&_item=215000000',0)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(7333,'/scripts/objects/list.asp?_XID=70000028&_Ref=1398186089&_table=1002009&',0)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(7334,'/scripts/objects/list.asp?_XID=70000028&_Ref=1398186089&_table=1001000&_parenturl=1',0)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(7335,'/scripts/objects/edit.asp?_XID=70000028&_Ref=1398186089&_table=1001000&_item=1002009&_parenturl=1',0)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(7336,'/scripts/objects/edit.asp?_XID=70000028&_Ref=1398186089&_table=1001054&_item=1000006&_parenturl=3',0)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(7337,'/scripts/objects/edit.asp?_xid=70000028&_ref=1398186089&_table=1001054&&_parenturl=3',0)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(7338,'/scripts/objects/navigator.asp?_xid=70000030&_ref=1398186089',12)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(7339,'/scripts/objects/navigator.asp?_xid=70000028&_ref=1398186089',2)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(7340,'/scripts/iKnow.asp?_ref=1398186089&_deep=http%3A//ZBFw2kdev01/scripts/objects/edit.asp%3F_XID%3D70000005%26_Ref%3D1398186089%26_ table%3D2002000%26_item%3DADAMDOUG',0)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(9,'/scripts/objects/list.asp?_XID=70000052&_Ref=450493&_reset=true&_table=215000001&|MenuID=40000000',1532)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(25,'/scripts/objects/list.asp?_XID=70000028&_Ref=450493&_reset=true&_table=1002009&|MenuID=40000000',144)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(31,'/scripts/objects/save.asp?',3986)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(215,'/scripts/objects/list.asp?_XID=70000030&_Ref=450493&_reset=true&_table=3001062&|MenuID=40000000',138)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(1449,'/scripts/objects/mappings.asp?',17)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(1691,'/scripts/objects/edit.asp?_XID=70000052&_Ref=450493&_table=215000001&_item=11',26)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(3443,'/scripts/objects/list.asp?_XID=70000028&_Ref=450493&_table=1001000&_parenturl=2',16)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(5740,'/scripts/objects/consolemaster.asp?_XID=80000003&_Ref=450493&_reset=true&showall=false&page_id=215000002&|MenuID=40000000',177)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(5918,'/scripts/objects/consolemaster.asp?_XID=80000003&_Ref=450493&showall=false&mode=listitself&item=215000006&page_id=215000002',15)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(5941,'/scripts/objects/edit.asp?_XID=70000030&_Ref=450493&_table=3001062&_item=12',9)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(5942,'/scripts/objects/edit.asp?_XID=70000030&_Ref=450493&_table=3001062&_item=12&_formtab=&process=&step=&elem=',62)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) 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]) VALUES(6610,'/scripts/objects/consolemaster.asp?_XID=80000004&_Ref=450493&showall=false&page_id=215000003',88)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(6681,'/scripts/objects/edit.asp?_XID=70000028&_Ref=450493&_table=1001054&_item=225000175&_parenturl=4',3)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(6684,'/scripts/objects/edit.asp?_XID=70000028&_Ref=450493&_table=1001054&_parenturl=4&_item=225000175&_formtab=&process=&step=&elem=',7)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(6960,'/scripts/objects/edit.asp?_XID=80000003&_Ref=450493&_table=215000001&_item=68',3)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(6979,'/scripts/objects/edit.asp?_XID=70000052&_Ref=450493&_table=215000001&_item=161&process=215000001&step=215000003&elem=215000018',25)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(6989,'/scripts/objects/consolemaster.asp?_XID=80000004&_Ref=450493&showall=false&mode=drill&item=215000120&drill_id=215000005&page_id=215000003&group=1&desc=BTFG',54)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(7199,'/scripts/objects/consolemaster.asp?_XID=80000004&_Ref=450493&showall=false&page_id=215000006',24)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(7269,'/scripts/objects/consolemaster.asp?_XID=80000004&_Ref=450493&showall=false&page_id=215000010',3)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(7271,'/scripts/objects/consolemaster.asp?_XID=80000004&_Ref=450493&showall=false&mode=listitself&item=215000200&page_id=215000006&group=1&desc=Operations%20Executive',3)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(7282,'/scripts/objects/edit.asp?_XID=80000003&_Ref=450493&_table=215000001&_item=68&process=215000001&step=215000003&elem=215000018',2)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(7289,'/scripts/objects/edit.asp?_xid=80000003&_ref=450493&_table=225000001&_item=75&_parenturl=1',1)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(7290,'/scripts/objects/edit.asp?_xid=80000003&_ref=450493&_table=215000016&_item=86&_parenturl=1',0)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(7311,'/scripts/objects/edit.asp?_XID=80000003&_Ref=450493&_table=225000001&_item=75',11)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(7312,'/scripts/objects/showpopup.asp?_XID=80000003&_Ref=450493&_table=225000001&_item=75&destable=225000001&_mode=mappings&_seed=72528.66',0)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(7313,'/scripts/objects/mappings.asp?_XID=80000003&_Ref=450493&_table=225000001&_item=75&destable=225000001&_mode=mappings&_seed=72528.66&_popup=true',0)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(7314,'/scripts/objects/edit.asp?_XID=80000003&_Ref=450493&_table=225000001&_item=90&process=&step=&elem=',0)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(7315,'/scripts/objects/edit.asp?_xid=80000003&_ref=450493&_table=225000001&_item=90',0)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(7316,'/scripts/objects/edit.asp?_xid=80000003&_ref=450493&_table=225000001&_item=90&_formtab=0&process=&step=&elem=',0)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(7317,'/scripts/objects/edit.asp?_xid=80000003&_ref=450493&_table=215000016&_item=86',1)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(7318,'/scripts/objects/edit.asp?_xid=80000003&_ref=450493&_table=215000016&_item=86&_formtab=&process=&step=&elem=',1)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(7319,'/scripts/objects/edit.asp?_XID=70000028&_Ref=450493&_table=1001000&_parenturl=2&_item=225000001&_formtab=&process=&step=&elem=',5)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(7320,'/scripts/iknow.asp?_Ref=1398186089',6)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(7321,'/scripts/iMenu.asp?_Ref=1398186089&_XID=40000000&ParentID=',10)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(7322,'/scripts/objects/MyZBF.asp?_XID=19999900&_Ref=1398186089&_Ref2=',9)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(7323,'/scripts/objects/list.asp?_XID=70000028&_Ref=1398186089&_reset=true&_table=1002009&|MenuID=40000000',8)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(7324,'/scripts/objects/edit.asp?_XID=70000028&_Ref=1398186089&_table=1002009&_item=1000001',1)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(7325,'/scripts/objects/list.asp?_XID=70000030&_Ref=1398186089&_reset=true&_table=3001062&|MenuID=40000000',6)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(7326,'/scripts/objects/edit.asp?_XID=70000030&_Ref=1398186089&_table=3001062&_item=12',2)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(7327,'/scripts/objects/save.asp?',4)INSERT INTO [stat_hit_pages] ([shp_id],[shp_url],[shp_count]) VALUES(7328,'/scripts/objects/edit.asp?_XID=70000030&_Ref=1398186089&_table=3001062&_item=12&_formtab=&process=&step=&elem=',4)
View 2 Replies View RelatedI have a report with a column which contains either a string such as "N/A" or a number such as 12. A user exports the report to Excel. In Excel the numbers are formatted as text.
I already tried to set the value as CDbl which returns error for the cells containing a string.
The requirement is to export the column to Excel with the numbers formatted as numbers and the strings such as "N/A' in the same column as string.
Any suggestions?
Hi,
i have a table like below
table:-
id col2 col3 col4 col5 col6
1 2 3 4 5 6
2 5 8 4 7 6
3 4 8 2 6 9
4 2 5 8 6 3
5 6 9 5 5 9
i want to write a stored procedure where i pass column names a parameters and i want to get result based on that
For ex:-
if i pass the parameters as
col3 and col5 where id =1 then i should the result as
id col3 col4 col5
1 3 4 5
and if i pass input as col2and col6 where id =3, the result should be
id col2 col3 col4 col5 col6
3 4 8 2 6 9
can anyone help on this??
I'm trying to determine the oldest timestamp that meets given criteria which includes a specific action_type code. That code can legitimately be performed more than once on an item (all actions are recorded in an actions table, so the full history is available).
actions table (columns: action_id, request_id, action_type, action_time, action_reason)
I'm having trouble getting the most recent timestamp for the given action_type I'm looking for, when that action_type has been performed more than once.
My intent with the query below is to get the most recent action_time and it's request_id that meets the criteria
SELECT TOP 1 a.action_time, r.request_id FROM requests r JOIN incident i ON r.request_id = i.request_id LEFT JOIN actions a ON r.request_id = a.request_id WHERE i.refund_type = 1 AND (r.status_code = 3 OR r.status_code = 14) AND a.action_type = 3 ORDER BY a.action_time
So for example, if the item with request_id 1334 has had action_type 3 performed on it twice, once at 2007-10-15 13:30:00 and then again at 2007-10-17 14:40:00, it's picking up the former, when I want the later. That it had action_type 3 performed on it twice is legitimate. (larger context an item was approved by a manager, then rejected by a processor, and then approved by a manager again after resubmission)
Hopefully this has made sense so far.
So, how do I make sure I'm getting the most recent action time, when I don't know if the item in particular will have more than one of this action type performed on it?
Im just curious how i would take multiple columns from multiple tables.... would it be something like this ???
table: Products COLUMNS ProductName, ProductID
table: Categorys COLUMNS CategoryName, CategoryID,ProductID
SELECT Products.ProductName, Categorys.CategoryName,Products.ProductID,Categorys.CategoryID,Categorys.ProductID
FROM Categorys, Tables
WHERE Products.ProductID = Categorys.ProductID
I have created some dynamic sql to check a temporary table that is created on the fly for any columns that do contain data. If they do the column name is added to a dynamic sql, if not they are excluded. This looks like:
If (select sum(Case when [Sat] is null then 0 else 1 end) from #TABLE) >= 1 begin set @OIL_BULK = @OIL_BULK + '[Sat]' +',' END However, I am currently running this on over 230 columns and large tables 1.3 mil rows and it is quite slow. How I can dynamically create a sql script that only selects the columns in the table where there is data in a speedier manner. Unfortunately it has to be on the fly because the temporary table is created on the fly.
Why does M$ Query Analyzer display all numbers as positive, no matterwhether they are truly positive or negative ?I am having to cast each column to varchar to find out if there areany negative numbers being hidden from me :(I tried checking Tools/Options/Connections/Use Regional Settings bothon and off, stopping and restarting M$ Query Analyer in betwixt, butno improvement.Am I missing some other option somewhere ?
View 7 Replies View Related
I have a table with a column ID of ContentID. The ID in that column is all NULLs. I need a way to change those nulls to a number. It does not matter what type of number it is as long as they are different. Can someone point me somewhere with a piece of T-SQL that I could use to do that. There are over 24000 rows so cursor change will not be very efficient.
Thanks for any help
I am facing a problem in writing the stored procedure for multiple search criteria.
I am trying to write the query in the Procedure as follows
Select * from Car
where Price=@Price1 or Price=@price2 or Price=@price=3
and
where Manufacture=@Manufacture1 or Manufacture=@Manufacture2 or Manufacture=@Manufacture3
and
where Model=@Model1 or Model=@Model2 or Model=@Model3
and
where City=@City1 or City=@City2 or City=@City3
I am Not sure of the query but am trying to get the list of cars that are to be filtered based on the user input.
I've got a big problem that I'm trying to figure out:
I have an address table out-of-which I am trying to select mailing addresses for companies UNLESS a mailing address doesn't exist; then I want to select the physical addresses for that company. If I get multiple mailing or physical addresses returned I only want the most recently edited out of those.
I don't need this for an individual ID select, I need it applied to every record from the table.
My address table has some columns that look like:
[AddressID] [int]
[LocationID] [int]
[Type] [nvarchar](10)
[Address] [varchar](50)
[City] [varchar](50)
[State] [char](2)
[Zip] [varchar](5)
[AddDate] [datetime]
[EditDate] [datetime]
AddressID is a primary-key non-null column to the address table and the LocationID is a foreign key value from a seperate Companies table.
So there will be multiple addresses to one LocationID, but each address will have it's own AddressID.
How can I do this efficiently with perfomance in mind???
Thank you in advance for any and all replies...
I have an 'ID' column. I'm up to about ID number 40000, but not all are in use, so ID 4354 might not be in any row. I want a list of all numbers which aren't in use. I want to write something like this:
select [numbers from 0 to 40000] where <number> not in (select distinct id from mytable)
but don't know how. Any clues?
I'm trying to write data to excel from an ssis component to a excel destination.
Even thought I'm writing numerics, every cell gets this error with a green tag:
Convert numbers stored as text to numbers
Excel Cells were all pre-formated to accounting 2 decimal, and if i manually type the exact data Im sending it formats just fine.
I'm hearing this a common problem -
On another project I was able to find a workaround for the web based version of excel, by writing this to the top of the file:
<style>.text { mso-number-format:@; } </style>
is there anything I can pre-set in excel (cells are already formated) or write to my file so that numerics are seen as numerics and not text.
Maybe some setting in my write drivers - using sql servers excel destination.
So close.. Thanks for any help or information.
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
A colleague of mine has a view that returns approx 100000 rows in about 60 seconds.
He wants to use the data returned from that view in an OLE DB Source component.
When he selects the view from the drop-down list of available tables then SSIS seems to hang without any data being returned (he waited for about 15 mins).
He then changed the OLE DB Source component to use a SQL statement and the SQL statement was: SELECT * FROM <viewname>
In this instance all the data was returned in approx 60 seconds (as expected).
This makes no sense. One would think that selecting a view from the drop-down and doing a SELECT *... from that view would be exactly the same. Evidently that isn't the case.
Can anyone explain why?
Thanks
-Jamie
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.
I'd like to first figure out the count of how many rows are not the Current Edition have the following:
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...