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
So I have a problem with combining cells: some of the cells are blank and some of the cells have NULL value.
The combined blank cells return perfect.
But the combined cells in which 1 or more contains NULL will return as NULL
0-4139-00-01OPTIONAL EQUIPMENT 139 - A -
0-4139-00-02NVG EQUIPMENT 139 - A -
0-4139-00-03NVG EQUIPMENT 139 - A -
0139-01-01BRAKE RESERVOIR NULL
A part of the script which i use is:
STUFF((SELECT ', ' + i.ac_type + ' - '
+ i.range_or_single+ ' ' + ' - ' + i.serialno_to
FROM msc_item_effectivity i
inner JOINmsc_item h
ONb.taskcard_verno_i = h.taskcard_verno_i
WHERE h.itemno_i = i.itemno_i
FOR XML PATH('')), 1, 1, '')
i.ac_type = 139
i.range_or_single = A
i.serialno_to = blank or NULL
I want the result of the blank value to be the same as the NULL value.
0139-01-01BRAKE RESERVOIR 139 - A -
Is this an incorrect way to query for rows with NULL
Select *
from Table1
where date = NULL
Hi,
i need to perform some searching on 10 columns. Since it will return >1 records/lines, i need to filter, if @param1 match with col1, then abandon those Null value in column1 set, and find match @param2 to col1.
@param1='SS',
@param2='' (if '' i set to %)
til 10
Find matching columns:
Row1 : Col1='SS' (matched) Col2=NULL Col3='bb
Row2 : Col1='SS' (matched) Col2='abc' Col3=NULL
Row3 : Col1=NULL (unmatched) Col2='huh'(matched)
problem is when i want to search only if colX is 'something', it returns null value,.. my where clause
WHERE
(d.RecvUDF1 LIKE @UDF1 OR d.RecvUDF1 IS NULL) AND(d.RecvUDF2 LIKE @UDF2 OR d.RecvUDF2 IS NULL) AND(d.RecvUDF3 LIKE @UDF3 OR d.RecvUDF3 IS NULL) AND(d.RecvUDF4 LIKE @UDF4 OR d.RecvUDF4 IS NULL) AND(d.RecvUDF5 LIKE @UDF5 OR d.RecvUDF5 IS NULL ) AND(d.RecvUDF6 LIKE @UDF6 OR d.RecvUDF6 IS NULL) AND(d.RecvUDF7 LIKE @UDF7 OR d.RecvUDF7 IS NULL ) AND(d.RecvUDF8 LIKE @UDF8 OR d.RecvUDF8 IS NULL) AND(d.RecvUDF9 LIKE @UDF9 OR d.RecvUDF9 IS NULL) AND(d.RecvUDF10 LIKE @UDF10 OR d.RecvUDF10 IS NULL )
-i wrote the OR NULL is because i need those nulls value when im not searching for that column..
-i replace '' to '%' because i need to list any other remaining unmatched columns when i found the matching column.
maybe it's quite ridiculous to understand my Q ...coz i couldnt find any other better way to explain
thanks in advance
~~~Focus on problem, not solution~~~
I have a stored procedure that allows users to select addresses based on partially supplied information from the user. My procedure seems to work fine in all but a few cases. If a user decides to select all the rows for a particular country the procedure below does not return any rows even if the rows exist. I tracked this down to the fact that for Non US countries I set both the StateCode and Country Code to nulls. .
Below is a partial version of my code. Can anyone show me how I can do a "Like" Search even if some of the fields in the row contain null values?
Thanks
1 CREATE PROCEDURE dbo.Addresses_Like( @SendTo VarChar(50) = Null
2 , @AddressLine1 VarChar(50) = Null
3 , @AddressLine2 VarChar(50) = Null
4 , @City VarChar(50) = Null
5 , @StateCode VarChar(2) = Null
6 , @ZipCode VarChar(10) = Null
7 , @CountryCode VarChar(2) = Null)
8
9
10 Declare @SearchSendTo VarChar(50)
11 Declare @SearchAddressLine1 VarChar(50)
12 Declare @SearchAddressLine2 VarChar(50)
13 Declare @SearchCity VarChar(50)
14 Declare @SearchStateCode VarChar(2)
15 Declare @SearchZipCode VarChar(10)
16 Declare @SearchCountryCode VarChar(2)
17
18 If (@SendTo Is Null)
19 Set @SearchSendTo = ""
20 Else
21 Set @SearchSendTo = @SendTo
22
23 If (@AddressLine1 Is Null)
24 Set @SearchAddressLine1 = ""
25 Else
26 Set @SearchAddressLine1 = @AddressLine1
27
28 If (@AddressLine2 Is Null)
29 Set @SearchAddressLine2 = ""
30 Else
31 Set @SearchAddressLine2 = @AddressLine2
32
33 If (@City Is Null)
34 Set @SearchCity = ""
35 Else
36 Set @SearchCity = @City
37
38 If (@StateCode Is Null)
39 Set @SearchStateCode = ""
40 Else
41 Set @SearchStateCode = @StateCode
42
43 If (@ZipCode Is Null)
44 Set @SearchZipCode = ""
45 Else
46 Set @SearchZipCode = @ZipCode
47
48 If (@CountryCode Is Null)
49 Set @SearchCountryCode = ""
50 Else
51 Set @SearchCountryCode = @CountryCode
52
53
54 Select AddressID
55 , SendTo
56 , AddressLine1
57 , AddressLine2
58 , City
59 , StateCode
60 , ZipCode
61 , CountryCode
62 , RowVersion
63 , LastChangedDateTime
64 , OperID
65 From Addresses
66 Where SendTo Like RTrim(LTrim(@SearchSendTo)) + "%"
67 And AddressLine1 Like RTrim(LTrim(@SearchAddressLine1)) + "%"
68 And AddressLine2 Like RTrim(LTrim(@SearchAddressLine2)) + "%"
69 And City Like RTrim(LTrim(@SearchCity)) + "%"
70 And StateCode Like RTrim(LTrim(@SearchStateCode)) + "%"
71 And ZipCode Like RTrim(LTrim(@SearchZipCode)) + "%"
72 And CountryCode Like RTrim(LTrim(@SearchCountryCode)) + "%"
73 Order By CountryCode, City, AddressLine1, AddressLine2, SendTo
Hi All to Transact-SQL Community,
I had a problem with NULL selecting, actually i had two tables like,
Transaction Table
ID Image Link INTID(ForeignKey)
--------------------------------------------------------------------
1 test test 2
2 test1 test1 2
3 test2 test2 NULL
4 test3 test3 NULL
Master Table
INTID Path Link
-------------------------------------------------
1 a.gif test
2 b.gif test
When i am selecting from transaction table, if column INTID has a integer value the it should do innerjoin with Mastertable
on TransactionTable.INTID = MasterTable.INTID, and fetch rows TransactionTable and MasterTable, then result should be like this,
1 test test
2 test1 test1
2 b.gif test
and if NULL present then it should fetch only rows from transaction table. Can anyone help on how to do this.
Thanks in advance,
Karthikeyan.
I'm trying to construct code that will return the last non-NULL value in a column containing daily records.
For E.G. I want to know what the LAST value of Description field when it is not NULL, AND the Date is within the range t=1 to t=5 => i.e. "Dog" in the below example:
Date Description
1 NULL
2 NULL
3 Cat
4 Cat
5 Dog
6 NULL
7 NULL
8 Mouse
9 NULL
10 NULL
How this can be achieved?
Hi, i have something like this:
SELECT a.boardname, a.description, a.threadcount, a.answercount, a.lastthreadid, b.username, b.subject, b.created FROM forum_board AS a, forum_topics AS b WHERE (a.forumid = @ID) AND (b.id = a.lastthreadid)
The problem here is that lastthreadid does not always have a post linked to it, so sometimes its null. I want it to still return all the boards and then just returnnull values or "" in b.username, b.subject, b.createdThis returns nothing. How can i force it to select these values?
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 two columns A (which allows nulls) and B( which does not allow nulls).
How can I add the contents of columns A and B SO THAT I DO NOT GET A NULL RESULT WHEN A IS NULL.
The result of A+B concatanation will be stored in a column, C.
Appreciate your help
Ziggy
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 RelatedIs 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.
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 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 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 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View 2 Replies View RelatedHi,
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.
ColumnA has existing data in it some of the data are Nulls
what would be the best way to have new as well as existing
data change to 0, using a constraint?
hi, I have a problem with a flat file and a table
I have a flat file with 5 columns and in the table I have 30 columns and they all are (not null)
I cannot leave other columns in target for which it throws mistake, have to insert something, since as I insert information in the demas columns???
Since I can solve this problem???
helps please
If I had a basic table with 3 VARCHAR fields; let's say A, B, C
How could I write a query that returns the count of the number of NULL columns for every record in a table?
Ideally, it would be something like:
SELECT
CAST (A IS NULL) AS INTEGER
+ CAST (B IS NULL) AS INTEGER
+ CAST (C IS NULL) AS INTEGER
FROM MyTable
That doesn't work at all. I can't seem to do "IS NULL" in the SELECT area. Should I write a T-SQL user-defined function that takes all three columns as parameters? Would that be performance friendly for large data sets?
Content table
deleteddate revokeddate
1/1/2001 null
null 2/2/2003
4/5/2004 null
I am trying to create a stored procedure where.I need to loop through every row of the table and check if there exists a date in either of the column. If date exists in either of the column for every row, I need to update some other stuff.For the above table, it meets my requirement, so I need to update. However if the table is as below, it doesn't meet the requirement, so I don't need to update
deleteddate revokeddate
1/1/2001 null
null null
4/5/2004 null
I started off as below, But I am getting incorrect values.
Declare @deleterevoke bit
Declare @DelRevId int
Declare @DelRevnumrows int
Declare @tempDeletedDate datetime
Declare @tempRevokedDate datetime
[code]....
johnny writes "I am trying to return only the columns from multiple tables that are NOT NULL for a specific ID. Once I have the tables JOINED is there a way to only get those columns that are populated. Thanks."
View 2 Replies View RelatedThis procedure doesnt increment the "Views" column like it should when the value is NULL (not zero)
CREATE procedure [dbo].[sp_theDb_image_addView]
@imageId int
AS
SELECT [views],
CASE WHEN [views] is null then 1
END
FROM theDb_image WHERE imageId=@imageI
UPDATE theDb_image SET [views] = [views] + 1 WHERE imageId=@imageI
The CASE statement apparently isn't working.... any advice?
Thanks.
Using SQL2000. I want to return the # of columns with non-nullvalues. Here's my query so far:selectcase when Dx1 is not null then 0 else 1 end +case when Dx2 is not null then 0 else 1 end +case when Dx3 is not null then 0 else 1 end +case when Dx4 is not null then 0 else 1 end as DxCountfrom tblClerkshipDataCleanwhere PalmName = @PalmNameThere are 7 rows for the particular PalmName I'm using. The queryreturns a result of 7. However, there are 25 values in Dx1 thru Dx4so the query should be returning 25.What am I doing wrong here? Thanks in advance.
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