I know similar questions have been asked but I wanted to try my luck that my issue is somehow different.
I am querying a database which has detail information (sales transactions) and is grouped by customer. I also have a table with one record for each customer with some historical sales information (summary information). The requirements for the report are to have the sums of the sales for each customer along with the historical data for that customer in the same row in the table. I haven't found a way to do this using one dataset and from what I've read, the current version doesn't support joining multiple datasets over a grouping field (customer).. or at all.
I am trying to create two subreports in the main report. One sub report should give detail data and other sub report shuold give sumamry data. Is detail and summary reports are possible in sub reports? Iappreciate your help on this.
But while I use matrix to build this report, I got the result like:
M1
M2
Project1
Info1
Info3
Project2
Info4
Info5
Project3
Info6
The report will not show the multiple records on the row group "Project" like item "Info2".
After I referred to the similar problem mentioned on this forums, I tried to use "RowNumber("Matrix1_Project")" to resolve it. But still I got the result like:
M1
M2
Project1
RowNumer
Info1
RowNumer
Info1
RowNumer
Info3
Project2
RowNumer
Info4
RowNumer
Info5
Project3
RowNumer
Info6
It would be much appreciated if anyone could give me some hints to complete the report I need.
I have a query as below - Select TeamName , SUM(CASE WHEN Team_Date = '01/07/2007' THEN Team_Total ELSE 0 END) AS [Jul 07] , SUM(CASE WHEN Team_Date = '01/08/2007' THEN Team_Total ELSE 0 END) AS [Aug 07] , SUM(CASE WHEN Team_Date = '01/09/2007' THEN Team_Total ELSE 0 END) AS [Sep 07] , SUM(CASE WHEN Team_Date = '01/10/2007' THEN Team_Total ELSE 0 END) AS [Oct 07] , SUM(CASE WHEN Team_Date = '01/11/2007' THEN Team_Total ELSE 0 END) AS [Nov 07] , SUM(CASE WHEN Team_Date = '01/12/2007' THEN Team_Total ELSE 0 END) AS [Dec 07] , SUM(CASE WHEN Team_Date = '01/01/2008' THEN Team_Total ELSE 0 END) AS [Jan 08] , SUM(CASE WHEN Team_Date = '01/02/2008' THEN Team_Total ELSE 0 END) AS [Feb 08] , SUM(CASE WHEN Team_Date = '01/03/2008' THEN Team_Total ELSE 0 END) AS [Mar 08] , SUM(CASE WHEN Team_Date = '01/04/2008' THEN Team_Total ELSE 0 END) AS [Apr 08] , SUM(CASE WHEN Team_Date = '01/05/2008' THEN Team_Total ELSE 0 END) AS [May 08] , SUM(CASE WHEN Team_Date = '01/06/2008' THEN Team_Total ELSE 0 END) AS [Jun 08] FROM dbo.uView_DimHC_Team_Details_View1 where TeamParentID < '3' GROUP BY TeamName ORDER BYTeamName
This basically creates a table where I have team names as rows, month names as columns and team strength as each value. Now I want to add one row at the bottom which gives a summary which basically calculates all the values in that column. I am displaying this on web where I can do this using gridview but the problem is I am using the same gridview for 2-3 different queries which have different columns so the rowdatabound method can not be used. How can I get aggregate row at the end of table from this table?
I am doing some work in microstrategy reports and using SQL data cube. I am creating a summary report (Counting on Unique ID) in MS where when I put in a particular attribute/column from cube it splits the data count down into 2 separate values that I have defined in the select case statement of the SQL query.
I want to work out a ratio of the count unique ID between these two values but can't do this in MS report as it is not a physical column but summary split of data.Is there a way I can do this in SQL? My summary looks something like this:
N E ====================== ========================= **Y** N **Y** N ========= ========== ========= ========= 570 140 89 56
Where the Y/N field is the one I have split down against the N/E column. I want to work out ratio between the 2 "Y" fields but in SQL. Here is a SQL example snapshot of my data:
Unique_ID New/Existing Application Attend_Interview ========= ======================== ================ 12554445 E Y 65766879 N N 53375654 N Y 44323224 E N 93656786 E Y
wondering if I might be able to do a procedure or similar or something more dynamic in SQL query?
Columns are obviously fixed, but not rows. I want to show this data using lables and SqlDataReader for report purpose like; Label1.text=dr("value16").toString( ) Label2.text=dr("value28").toString( ) Label3.text=dr("value31").toString( ) etc
Do you have any idea how i can do it or am I approaching it in the wrong way????
I've been struggling with this for about 2 weeks now and can't seem to get any further.I have two tables: orders and orders_extended. They can be joined by the common orderid field (example SELECT * FROM orders JOIN orders_extended ON orders.order = orders_extended.orderid WHERE 1=1)I need to create a report that sums the following fields:
SELECT
CONVERT(VARCHAR(12), orderdate, 101) As orderdate , COALESCE ( CASE WHEN orders_extended.productprice < 0 THEN 'DISCOUNT' ELSE orders_extended.productnumber END , CASE WHEN orders_extended.productnumber LIKE '%AB%' THEN 'PRODUCTGROUPAB' ELSE orders_extended.productnumber END , CASE WHEN orders_extended.productnumber LIKE '%CD%' THEN 'PRODUCTGROUPCD' ELSE NULL END
[code]...
What I'm trying to accomplish is to get the total dolloar amount of sales for each day for each payment type on one line per productgroup.
OK so there is some data in an Oracle DB that I need to query and analyze. Unfortunately, the criteria for selecting/grouping the data is stored in a MS Sql Server DB. This cannot be changed. SqlServerGroup Name ID# Item ConditionAAA123 1 a 1AAA123 2 a 1AAA123 3 a 1AAA123 4 a 2AAA123 5 a 2AAA123 1 b 3AAA123 2 b 4AAA123 3 b 3AAA123 4 b 4AAA123 5 b 3BBB123 1 a 1BBB123 2 a 1BBB123 3 a 2BBB123 4 a 2BBB123 5 a 2 OracleGroup Name ID# ValueAAA123 1 50%AAA123 2 55%AAA123 3 60%AAA123 4 80%AAA123 5 70%BBB123 1 35%BBB123 2 45%BBB123 3 50%BBB123 4 50%BBB123 5 80% I need to be able to get this:Group Name Item Condition ValueAAA123 a 1 55%AAA123 a 2 75%AAA123 b 3 60%AAA123 b 4 67.5%BBB123 a 1 40%BBB123 a 2 60% Any idea how I can get the data from these two DBs to talk to each other? Thanks.
I have a table census data containing the number of people having ages ranging from 0 to 120 years. Year 0 is in a column called F_0 and year 120 is in a column called F_120 with everything in between.
For example, when I create a script for the table the column for year 0 appears as: [F_0] [numeric](38, 8) NULL
I've already created 2 summary columns (people 0 to 18 years old and people 19 to 59 years old).
I follow the same methodology to create a summary table for people from 60 to 100 years old, but all the calculated values are NULL.
So the following is successful: [Under_19] AS (((((((((((((((((([F_0]+[F_1])+[F_2])+[F_3])+[F_4])+[F_5])+[F_6])+[F_7])+[F_8])+[F_9])+[F_10])+[F_11])+[F_12])+[F_13])+[F_14])+[F_15])+[F_16])+[F_17])+[F_18]) PERSISTED,
But this is not: [Over_60] AS (((((((((((((((((((((((((((((((((((((((((((((((((((((((((((([F_60]+[F_61])+[F_62])+[F_63])+[F_64])+[F_65])+[F_66])+[F_67])+[F_68])+[F_69])+[F_70])+[F_71])+[F_72])+[F_73])+[F_74])+[F_75])+[F_76])+[F_77])+[F_78])+[F_79])+[F_80])+[F_81])+[F_82])+[F_83])+[F_84])+[F_85])+[F_86])+[F_87])+[F_88])+[F_89])+[F_90])+[F_91])+[F_92])+[F_93])+[F_94])+[F_95])+[F_96])+[F_97])+[F_98])+[F_99])+[F_100])+[F_101])+[F_102])+[F_103])+[F_104])+[F_105])+[F_106])+[F_107])+[F_108])+[F_109])+[F_110])+[F_111])+[F_112])+[F_113])+[F_114])+[F_115])+[F_116])+[F_117])+[F_118])+[F_119])+[F_120]) PERSISTED,
I have a source table with App_Id, App_Type , Tier_Type, Date_Id as columns. I have a destination table with Date_Id, Total_App_Count, Booked_App_Type_Count, Approved_App_Type_Count columns.
I need to count the Total number of records , count of records with App_Type = "Booked" and count of records with App_Type = "Approved" and populate in my destination table.
What all the steps i need to create in SSIS to get this results ?
We are using a SQL Server 2000 Replication. I'm using the Merge Agent History Screen to retrive Informacion about replication sessions, is there any other screen to know exaclty which datawas replicated on each session?Or at least to know the script generated on each session?
I€™ve created with the help of some great people an SSIS 2005 package which does the follow so far:
1) Takes an incoming txt file. Example txt file: http://www.webfound.net/split.txt
The txt file going from top to bottom is sort of grouped like this Header Row (designated by €˜HD€™) Corresponding Detail Rows for the Header Row €¦.. Next Header Row Corresponding Detail Rows
€¦and so on
http://www.webfound.net/rows.jpg
2) Header Rows are split into one table, Maintenance Detail Rows into another, and Payment Detail Rows into a third table. A uniqueID has been created for each header and it€™s related detail rows to form a PK/FK relationship as there was non prior to the import, only the relation was in order of header / related rows below it when we first started. The reason I split this out is so I can massage it later with stored proc filters, whatever€¦
Now I€™m trying to somehow bring back the data in those table together like it was initially using a query so that I can cut out each of the Header / Detail Row sections into their own txt file. So, if you look at the original txt file, each new header and it€™s related detail rows (example of a cut piece would be http://www.webfound.net/rows.jpg) need to be cut out and put into their own separate txt file.
This is where I€™m stuck. How to create a query to combine it all back into an OLE DB Souce component, then somehow read that souce and split out the sections into their own individual txt files.
The filenames of the txt files will vary and be based on one of the column values already in the header table.
I have multiple table with the same schema as follows Table1 ID Date ---------------
1 D1 2 D2 3 D3 4 D4
Table2 ID Date --------------- 2 D21 3 D31 4 D41
.....
I just want to build a mater table out of these existing tables . I need a query that builds as faster as possioble as these tables might contains millions of records
Hello, I am using Visual studio 2005 and have such a problem. I have a report that takes most of its date from €œordersview€? that is linked to lots of other fields. The final report has fields such as product name, number, Date, quantity and actual quantity etc. This works fine, but the program that I get the data from can€™t keep all the data in itself, because it slows the time of its work enormously. So we made it so that all the data of orders that are completed ant older that 2 days would be copied to another table €œOrdersArchive€? and deleted from €œOrders€? table. Now I need to make a report that takes data from €œordersArchive€? if its older that two days, and from €œorders€? if it is new. The fields are the same in both cases and I would like the data to appear in the same table so it could be grouped, sorted and evaluated by the same criteria. Is it even possible and if it is how should I do it? For now I only managed to create 2 separate tables in the same report that take date from different datasets. Regards Darius
I have 2 table that I want to join and output a row on a condition that one of the records have a null in the field. Heres what I have.employee table (empid, name)tasks table (taskid, empid, taskname, resolution)If the resolution is null than I want it to be accounted for in each employee record. Heres my query so far that joins the 2 tables and accounts for each employee and counts each task they have. I need another column that counts the tasks.resolution's null values for each employee but cant figure it out. Thanks for any help!SELECT e.empid, e.name, COUNT(t.ID) as 'tcount'FROM tasks t RIGHT JOIN employee e ON c.empid = t.empidGROUP BY e.empid, e.nameorder by 'tcount' desc
The problem:I'm updating a report to be "multi-language" capable. Previously,any items that had text associated with them were unconditionallypulling in the English text. The database has always been capable ofstoring multiple languages for an item, however.Desired output:Given the test data below, I'd like to get the following resultsselect * from mytestfunc(1)Item_Id, Condition, QuestionText1876, NOfKids <= 10, This many children is unlikely.select * from mytestfunc(2)CheckID, Condition, QuestionText1876, NOfKids <= 10, NULLThe current SQL for my UDF:CREATE FUNCTION Annotated_Check (@Lang_ID int) RETURNS TABLE AS RETURN (SELECT tblCheck.Item_ID, tblCheck.CheckDescr AS Condition,tblQuestionText.QuestionTextFROM tblCheck LEFT OUTER JOIN tblQuestionText ON (tblCheck.Item_ID =tblQuestionText.Item_ID)WHERE ((tblQuestionText.LanguageReference = @Lang_ID) OR(tblQuestionText.LanguageReference IS NULL)))Test data:CREATE TABLE [dbo].[tblCheck] ([Item_ID] [int] NOT NULL ,[CheckDescr] [text] COLLATE SQL_Latin1_General_CP1_CI_AS NULL ,[CreationDate] [datetime] NULL ,[RevisionDate] [datetime] NULL) ON [PRIMARY] TEXTIMAGE_ON [PRIMARY]GOALTER TABLE [dbo].[tblCheck] ADDCONSTRAINT [DF__tblCheck__Creati__0D7A0286] DEFAULT (getdate()) FOR[CreationDate],CONSTRAINT [PK_Check] PRIMARY KEY CLUSTERED([Item_ID]) WITH FILLFACTOR = 90 ON [PRIMARY]GOCREATE TABLE [dbo].[tblLanguage] ([ID] [int] IDENTITY (1, 1) NOT NULL ,[Priority] [int] NULL ,[Name] [varchar] (50) COLLATE SQL_Latin1_General_CP1_CI_AS NOT NULL ,[Spoken] [bit] NULL ,[CreationDate] [datetime] NULL ,[RevisionDate] [datetime] NULL) ON [PRIMARY]GOALTER TABLE [dbo].[tblLanguage] WITH NOCHECK ADDCONSTRAINT [PK_Language] PRIMARY KEY CLUSTERED([ID]) WITH FILLFACTOR = 90 ON [PRIMARY]GOALTER TABLE [dbo].[tblLanguage] ADDCONSTRAINT [DF__tblLangua__Creat__2CF2ADDF] DEFAULT (getdate()) FOR[CreationDate],UNIQUE NONCLUSTERED([Priority]) WITH FILLFACTOR = 90 ON [PRIMARY]GOCREATE TABLE [dbo].[tblQuestionText] ([Item_ID] [int] NOT NULL ,[LanguageReference] [int] NOT NULL ,[QuestionText] [text] COLLATE SQL_Latin1_General_CP1_CI_AS NULL ,[SameAs] [int] NULL ,[CreationDate] [datetime] NULL ,[RevisionDate] [datetime] NULL) ON [PRIMARY] TEXTIMAGE_ON [PRIMARY]GOALTER TABLE [dbo].[tblQuestionText] ADDCONSTRAINT [DF__tblQuesti__Creat__76969D2E] DEFAULT (getdate()) FOR[CreationDate],CONSTRAINT [PK_QuestionText] PRIMARY KEY CLUSTERED([Item_ID],[LanguageReference]) WITH FILLFACTOR = 90 ON [PRIMARY]GOINSERT INTO tblCheck (Item_ID, CheckDescr)VALUES(1876, 'NOfKids <= 10')INSERT INTO tblLanguage (ID, Priority, Name, Spoken)VALUES(1,1,'English', 1)INSERT INTO tblLanguage (ID, Priority, Name, Spoken)VALUES(2,2,'Espanol', 1)INSERT INTO tblQuestionText (Item_ID, LanguageReference, QuestionText)VALUES (1876, 1, 'This many children is unlikely.')Any tips or pointers will be appreciated. Thanks.
I find that dynamic masking does not work on joining tables in SQL Server 2016 CTP2.1.
For examples, I create the following table:
CREATE TABLE [dbo].[HRM_StaffAppointment]( [StaffID] [nvarchar](11) NOT NULL, [ApptSeqNo] [smallint] NOT NULL, [ReportingDept] [nvarchar](10) NULL,
[Code] ...
Then I apply mask on StaffID and RankDesc.
alter [dbo].[HRM_StaffAppointment] alter column [StaffID] add masked with (function='default()') alter [dbo].[HRM_StaffAppointment] alter column [RankDesc] add masked with (function='default()')
When User A logged in and query on HRM_StaffAppointment, StaffID and RankDesc are perfectly masked. But User A can remove the masking using another table:
CREATE TABLE [dbo].[staffID]( [staffID] [nvarchar](255)Â ) ON [PRIMARY] select a.* from dbo.HRM_StaffAppointment as a left join dbo.staffID as b on a.StaffID = b.StaffID
It looks like a security hole to me, or I'm doing anything wrong?
I am listing detail transaction lines in a table sorted by account and order number. the problem is that I only want to see the detail if the sum of a value field is zero for all the transactions in an order otherwise ignore the detail for that order.
I was trying Group by and Having but this doesn't seem to do what I need.
Being relatively new to Reporting services, any nudge in the right direction would be useful.
I am wondering if it is possible to use SSIS to sample data set to training set and test set directly to my data mining models without saving them somewhere as occupying too much space? Really need guidance for that.
I'm new to SQL and need help with a query. Not sure if this is the right place.
I have 2 tables, one MASTER and one DETAIL.
The MASTER table has a masterID, name and the DETAIL table has a detailID, masterID, and value columns.
I want to return a populated MASTER table with entries based on the DETAIL.value.
SELECT MASTER.* FROM MASTER WHERE DETAIL.value > 3
This is a simplified version of my problem. I can't figure out how to set the relationship between MASTER.masterID and DETAIL.masterID. If I do an INNER JOIN, the number of results are based on the number of DETAIL entries. I only want one entry per MASTER entry.
I have created 3 views, which I then want to join to produce an overall result. The first view returns customer details, along with payment information. The next two views return values only when the customer has purchased extras outside our standard product i.e. if there is no purchase of an extra, then nothing is written to the extra's table. When I join the views together they only return values where data has been matched in all 3 views i.e. extra's have been purchased. Any data that did not match in all 3 view (i.e. no extra's purchased) is either ignored or dropped from the results. So I need my script to return all values even if no data exists in the two extra views.
My scripts are as follows: Main View SELECT CUSTOMER_POLICY_DETAILS.POLICY_DETAILS_ID, CUSTOMER_POLICY_DETAILS.HISTORY_ID, CUSTOMER_POLICY_DETAILS.AUTHORISATIONUSER, CUSTOMER_POLICY_DETAILS.AUTHORISATIONDATE, ACCOUNTS_TRANSACTION.TRANSACTION_CODE_ID, CUSTOMER_INSURED_PARTY.SURNAME, SYSTEM_INSURER.INSURER_DEBUG, SYSTEM_SCHEME_NAME.SCHEMENAME, CUSTOMER_POLICY_DETAILS.POLICYNUMBER, --TotalPayable IsNull(SUM(CASE LIST_TRAN_BREAKDOWN_TYPE.IncludeInTotal WHEN 1 THEN ACCOUNTS_TRAN_BREAKDOWN.AMOUNT ELSE 0 END), 0) AS TotalPayable, --NetPremium IsNull(SUM(CASE ACCOUNTS_TRAN_BREAKDOWN.Tran_Breakdown_Type_ID WHEN 'NET' THEN ACCOUNTS_TRAN_BREAKDOWN.AMOUNT ELSE 0 END), 0) AS NetPremium, --IPT IsNull(SUM(CASE WHEN SubString(ACCOUNTS_TRAN_BREAKDOWN.Premium_Section_ID, 1, 3) = 'TAX' THEN ACCOUNTS_TRAN_BREAKDOWN.AMOUNT ELSE 0 END), 0) AS IPT, --Fee IsNull(SUM(CASE ACCOUNTS_TRAN_BREAKDOWN.Tran_Breakdown_Type_ID WHEN 'FEE' THEN ACCOUNTS_TRAN_BREAKDOWN.AMOUNT ELSE 0 END), 0) AS Fee, --TotalCommission IsNull(SUM(CASE WHEN SubString(ACCOUNTS_TRAN_BREAKDOWN.Tran_Breakdown_Type_ID, 4, 4) = 'COMM' THEN ACCOUNTS_TRAN_BREAKDOWN.AMOUNT ELSE 0 END), 0) AS TotalCommission
FROM ACCOUNTS_CLIENT_TRAN_LINK INNER JOIN ACCOUNTS_TRANSACTION ON ACCOUNTS_CLIENT_TRAN_LINK.TRANSACTION_ID = ACCOUNTS_TRANSACTION.TRANSACTION_ID INNER JOIN ACCOUNTS_TRAN_BREAKDOWN ON ACCOUNTS_TRANSACTION.TRANSACTION_ID = ACCOUNTS_TRAN_BREAKDOWN.TRANSACTION_ID INNER JOIN LIST_TRAN_BREAKDOWN_TYPE ON ACCOUNTS_TRAN_BREAKDOWN.TRAN_BREAKDOWN_TYPE_ID = LIST_TRAN_BREAKDOWN_TYPE.TRAN_BREAKDOWN_TYPE_ID INNER JOIN CUSTOMER_POLICY_DETAILS ON CUSTOMER_POLICY_DETAILS.POLICY_DETAILS_ID = ACCOUNTS_CLIENT_TRAN_LINK.POLICY_DETAILS_ID AND CUSTOMER_POLICY_DETAILS.HISTORY_ID = ACCOUNTS_CLIENT_TRAN_LINK.POLICY_DETAILS_HISTORY_ID INNER JOIN SYSTEM_INSURER ON CUSTOMER_POLICY_DETAILS.INSURER_ID = SYSTEM_INSURER.INSURER_ID INNER JOIN SYSTEM_SCHEME_NAME ON CUSTOMER_POLICY_DETAILS.SCHEMETABLE_ID = SYSTEM_SCHEME_NAME.SCHEMETABLE_ID INNER JOIN CUSTOMER_INSURED_PARTY ON ACCOUNTS_CLIENT_TRAN_LINK.INSURED_PARTY_HISTORY_ID = CUSTOMER_INSURED_PARTY.HISTORY_ID AND ACCOUNTS_CLIENT_TRAN_LINK.INSURED_PARTY_ID = CUSTOMER_INSURED_PARTY.INSURED_PARTY_ID WHERE CUSTOMER_POLICY_DETAILS.AUTHORISATIONDATE = '2007-08-17' AND ACCOUNTS_TRANSACTION.TRANSACTION_CODE_ID <> 'PAY'
GROUP BY CUSTOMER_POLICY_DETAILS.POLICY_DETAILS_ID, CUSTOMER_POLICY_DETAILS.HISTORY_ID, CUSTOMER_POLICY_DETAILS.AUTHORISATIONUSER, CUSTOMER_POLICY_DETAILS.AUTHORISATIONDATE, ACCOUNTS_TRANSACTION.TRANSACTION_CODE_ID, CUSTOMER_INSURED_PARTY.SURNAME, SYSTEM_INSURER.INSURER_DEBUG, SYSTEM_SCHEME_NAME.SCHEMENAME, ACCOUNTS_TRANSACTION.Transaction_ID, CUSTOMER_POLICY_DETAILS.POLICYNUMBER
Add on View 1 CREATE VIEW TOPCARDPA AS select policy_details_id, History_id, Selected from customer_addon where product_addon_id = 'TRPCAE01'
Add on View 2 CREATE VIEW TOPCARDRESC AS select policy_details_id, History_id, Selected from customer_addon where product_addon_id = 'HICRESC01'
Join Result Script SELECT TOPCARD.AUTHORISATIONUSER, TOPCARD.AUTHORISATIONDATE, TOPCARD.TRANSACTION_CODE_ID, TOPCARD.SURNAME, TOPCARD.INSURER_DEBUG, TOPCARD.SCHEMENAME, TOPCARD.POLICYNUMBER, TOPCARD.TotalPayable, TOPCARD.NetPremium, TOPCARD.IPT, TOPCARD.Fee, TOPCARD.TotalCommission, TOPCARDPA.SELECTED, TOPCARDRESC.SELECTED FROM dbo.TOPCARD TOPCARD INNER JOIN dbo.TOPCARDPA TOPCARDPA ON TOPCARD.POLICY_DETAILS_ID = TOPCARDPA.POLICY_DETAILS_ID AND TOPCARD.HISTORY_ID = TOPCARDPA.HISTORY_ID INNER JOIN dbo.TOPCARDRESC TOPCARDRESC ON TOPCARD.POLICY_DETAILS_ID = TOPCARDRESC.POLICY_DETAILS_ID AND TOPCARD.HISTORY_ID = TOPCARDRESC.HISTORY_ID
I have included all the scripts I have used, as others may find them useful, in addition to anyone that is able to provide me with some assistance. Thanks in advance for for the help.
Trying to create a summary table of current product table, so that they is only 1 line for each product (even if the product is in both warehouses - in this case take table for warehouse 1) Therefore standard case statement becomes:
CASE WHEN exists (select product from stock where warehouse = '02' and product = stock.product and product in (select product from stock where warehouse = '01')) ProductDescription = (select distinct long_description from stock where warehouse = '01' and product = stock.product) ELSE ProductDescription = (select distinct long_description from stock where product = stock.product and (warehouse = '01' or warehouse = '02')) END
Is there another way of writting this, instead of repeating the above code for each column in the table?
I have a table which contains a sports schedule: team1_id,team2_id,result1,result2
result1 is for team1_id result2 is for team2_id
I want to run a query to get summarize the two id fields with their assoiciated results: For Example the dataset might look like this: row 1 - id1=20,id2=30,result1=1,result2=3 row 2 - id1=30,id2=20,result1=2,result2=2 row 3 - id1=20,id2=40,result1=3,result2=1 row 4 - id1=40,id2=20,result1=1,result2=3
how do I build the query to merge the ids and thier respective results into one countable dataset
I have used both data readers and data adapters(with datasets) in the projects that I have worked on. I am trying to get some clarification on when I should be using which one. I think I am doing this correctly but I want to be sure I am developing good habits.
As the name might suggest, it seems like a datareader is for only reading data. I have read that the data adapter and dataset are for a disconnected architecture. Or, that they can be used for this type of set up. I have been using the data adapter and datasets when writing to a database and the datareader when reading from a database.
Is this how these should be used? Is the data reader the best choice for reading data? Am I doing this the optimal way from a performance stand point?
......................................................thanks in advance
I am trying to sum up sales for employees and get the employee with the highest sales in one query. The query I have below works but it doesnt get me the EmployeeID. Assume all the fields are in the same table. If I try to do something like this it bombs on me: "MAX(SUM(OrderAmount)"
SELECT Max(OrdersSum) AS MaxOrders FROM (SELECT SUM(OrderAmount) as OrdersSum FROM Orders GROUP BY EmployeeID);
The output I need is ( '|' means cols separator) : Manufact1 | No of recs from HW for this Manufact | nulls ... null | null | HW1 from Manufact1 details ... null | null | HW2 from Manufact1 details ... Manufact2 | No of recs from HW for this Manufact | nulls ... null | null | HW3 from Manufact2 details ... ...
