I have a one to many relationship between Flag and StudentFlag. I'm wanting to select each Flag.FlagID that exist as a column that contains the StudentFlag.Value per StudentFlag.StudentID (or null for that column if that StudentFlag row doesn't exist).
This single column appearing multple times in a single dataset has seemed difficult in a select statement. Is it posible in T-SQL?
Tables, Keys, and Relationships
CREATE TABLE [dbo].[Flag] ( [FlagID] [int] NOT NULL , [FlagName] [varchar] (50) COLLATE SQL_Latin1_General_CP1_CI_AS NOT NULL ) ON [PRIMARY] GO
CREATE TABLE [dbo].[StudentFlag] ( [StudentFlagID] [int] NOT NULL , [FlagID] [int] NULL , [StudentID] [int] NOT NULL , [FlagValue] [varchar] (50) COLLATE SQL_Latin1_General_CP1_CI_AS NOT NULL ) ON [PRIMARY] GO
ALTER TABLE [dbo].[Flag] WITH NOCHECK ADD CONSTRAINT [PK_Flag] PRIMARY KEY CLUSTERED ( [FlagID] ) ON [PRIMARY] GO
ALTER TABLE [dbo].[StudentFlag] WITH NOCHECK ADD CONSTRAINT [PK_StudentFlag] PRIMARY KEY CLUSTERED ( [StudentFlagID] ) ON [PRIMARY] GO
ALTER TABLE [dbo].[StudentFlag] ADD CONSTRAINT [FK_StudentFlag_Flag] FOREIGN KEY ( [FlagID] ) REFERENCES [dbo].[Flag] ( [FlagID] ) GO
I have a description field in a table which also stores unit of measure in the same column but with some space between them, I need to split these into two different columns.
Taking the Northwind database as an example,I have an order table: 'Orders'a order details table: 'Order Details'and a products table: 'Products'For reasons best ignored, I want to produce a query which has columns:Orders.OrderID, Productswhich has results like:10248, 'Queso Cabrales, Singaporean Hokkien Fried Mee, Mozzarella diGiovanni'10249, 'Tofu, Manjimup Dried Apples'________so for those who don't really know what I'm on about and haven't gotaccess to northwind, I want the second cell to contain the returnedcolumn of a second query (but in text format)could anyone suggest a way this could be done? am I entering the landof cursors?Many thanks,Neil
I have created a single FULLTEXT on col2 & col3. suppose i want to search col2='engine' and col3='toyota' i write query as
SELECT
TBL.col2,TBL.col3 FROM
TBL INNER JOIN
CONTAINSTABLE(TBL,col2,'engine') TBL1 ON
TBL.col1=TBL1.[key] INNER JOIN
CONTAINSTABLE(TBL,col3,'toyota') TBL2 ON
TBL.col1=TBL2.[key]
Every thing works well if database is small. But now i have 20 million records in my database. Taking an exmaple there are 5million record with col2='engine' and only 1 record with col3='toyota', it take substantial time to find 1 record.
I was thinking this i can address this issue if i merge both columns in a Single column, but i cannot figure out what format i save it in single column that i can use query to extract correct information. for e.g.; i was thinking to concatinate both fields like col4= ABengineBA + ABBToyotaBBA and in search i use SELECT
TBL.col4 FROM
TBL INNER JOIN
CONTAINSTABLE(TBL,col4,' "ABengineBA" AND "ABBToyotaBBA"') TBL1 ON
TBL.col1=TBL1.[key] Result = 1 row
But it don't work in following scenario col4= ABengineBA + ABBCorola ToyotaBBA
SELECT
TBL.col4 FROM
TBL INNER JOIN
CONTAINSTABLE(TBL,col4,' "ABengineBA" AND "ABB*ToyotaBBA"') TBL1 ON
TBL.col1=TBL1.[key]
Result=0 Row Any idea how i can write second query to get result?
Hi. I want to return multiple rows into a single row in different columns. For example my query returns something like thisThe query looks like thisSelect ID, TYPE, VALUE From myTable Where filtercondition = 1ID TYPE VALUE1 type1 121 type2 152 type1 16 2 type2 19Each ID will have the same number of types and each type for each ID might have a different value. So if there are only two types then each ID will have two types. Now I want to write the query in such a way that it returnsID TYPE1 TYPE2 VALUE1 VALUE21 type1 type2 12 152 type1 type2 16 19Type1, Type2, Value1, and Value2 are all dynamic. Can someone help me please. Thank you.
SELECT 'Type'[Type] ,CASE WHEN code='09' THEN SUM(Amt/100) ELSE 0 END ,CASE WHEN code='10' THEN SUM(Amt/100) ELSE 0 END ,CASE WHEN code='11' THEN SUM(Amt/100) ELSE 0 END ,CASE WHEN code='12' THEN SUM(Amt/100) ELSE 0 END FROM Table1 WHERE (Code BETWEEN '09' AND '12') GROUP BY Code
and the output
Column 1 Column 2 Column 3 Column 4 Type 14022731.60 0.00 0.00 0.00 Type 0.00 4749072.19 0.00 0.00 Type 0.00 0.00 149214.04 0.00 Type 0.00 0.00 0.00 792210.10
How can I modify the query to come up with output below,
Suppose that I have a table with following values Table1 Col1 Col2 Col3 ----------------------------------------------------------- P3456 C935876 T675 P5555 C678909 T8888
And the outcome that I want is: CombinedValues(ColumnName) ---------------------------------------------- P3456 - C935876 - T675 P5555 - C678909 - T8888
where CombinedValues column contains values of coulmn 1,2 & 3 seperated by '-' So is there any way to achieve this?
I concatenate multiple rows from one table in multiple columns like this:
--Create Table CREATE TABLE [Person].[Person_1]( [BusinessEntityID] [int] NOT NULL, [PersonType] [nchar](2) NOT NULL, [FirstName] [varchar](100) NOT NULL, CONSTRAINT [PK_Person_BusinessEntityID_1] PRIMARY KEY CLUSTERED
[Code] ....
This works very well, but I want to concatenate more rows with different [PersonType]-Values in different columns and I don't like the overhead, of using the same table in every subquery ([Person_1]). Is there a more elegant way to do this, without using a temp table or something else?
I have multiple databases in the server and all my databases have tables: stdVersions, stdChangeLog. The stdVersions table have field called DatabaseVersion which stored the version of the database. The stdChangeLog table have a field called ChangedOn which stored the date of any change made in the database.
I need to write a query/stored procedure/function that will return all the database names, version and the date changed on. The results should look something like this:
Hi,I have some tables where I import data in, lots of field have gotten aNULL value which the application can not handle.Now can I replace each NULL value with '' in a columns with:update <tableset [<column>] = '' where [<column>] IS NULLBut because there are lots of columns this is pretty much work, alsothere are multiple tables.Is there an easy way to replace all NULL values in all columns in atable?Thanks in AdvanceBob
I have a data flow task in which there is a OLEDB source, derived column item, and a oledb destination. My source is a SQL command, that returns some values. I have some values, that I define in the derived columns, and set default values under the expression column. My question is, I also have some destination columns which in my OLEDB destination need another SQL command. How would I do that? Can I attach two or more OLEDB sources to one destination? How would I accomplish that? Thanks
I am trying to insert values in a single table with four columns from 4 different sources. is it possible to run these 4 insertions in parallel. all these insertion are independent of each other
I have a table called Appointment, for storing (you guessed it) appointments at a medical practice. If an appointment is cancelled, I want to collect a cancellation reason, so let's say that I create a second table called Cancellation which has a foreign key relating to the Appointment table's primary key, AppointmentID, and another column, Reason. Now, in order to indicate that an appointment was cancelled, I could include a Cancelled column in the Appointment table with a bit datatype, or instead I could infer that an appointment must be cancelled if it has a corresponding record in the Cancellation table.
It may be that it'd be better to store the cancellation reason in the Appointment table - But regardless, let's say I stick with the two-table solution described above, and I subsequently want to write a query to list all appointments which have been cancelled. If I had the Cancelled column in the Appointment table, I could simply query for all records in that table where that column's value was FALSE. If I went the other way and DIDN'T have a Cancelled column, I could instead write a query joining the Appointment and Cancellation tables to return all records in Appointment with a corresponding record in Cancellation.
That latter method, whilst slightly more complicated because it involves joining two tables, seems to me to be the most normalised. Instead of storing the fact that an appointment is cancelled in two different tables, that fact is only stored in the Cancellation table. Would there be a performance hit in using the two-table, 'inferred cancellation' method rather than just having a bit column in the Appointment table? Would that performance hit be enough to persuade you to use a Cancellation column in the Appointment table instead? And what about if I were to apply that method to other things associated with each appointment, e.g. Is it completed? Is it chargeable to the client or an insurance company? Is the client and in-patient or out-patient?
I am looking for the best way to check to see if any columns are still NULL in a record. I have a form that gets filled out by users and the values entered into TableA. There are 6 columns in the table, 5 are responses and column6 indicates if the record is complete. So I want a way to see if all of the first 5 columns are NOT NULL and, if so, mark column6 with a 1.
I am thinking this would be a good thing for a trigger on INSERT or UPDATE to check to see if the first 5 columns are filled in and then mark the record as complete.
I have to mirror 3 DBs on my sql server instance . I have restored there full backups and log backups on mirror.I have also created endpoints on principal and mirror using default ports 5022 and 5023.
know if i can use the same endpoint for the databases on principal instance ?
I have 2 tables People and Scores. A person might have 1-5 scores (unknown at time of Query). I would like to query the two tables into a results table and if person does not have a record the score will be zero. Scores also have a test number so you know which score it is. I can get it done with Stored Proc but I have to use Temp tables and then put the temp tables together.
People Name ID Tom5 Dick2 Harry3 Larry4 Curly1 Scores PrimaryKeyPeopleIDScoreTestNumber 12801
I have resulting rows from a query similar to the following:
The data is coming from a single table that contains only one coverage code column and one coverage code date, but the end user wants the two coverage code types and dates combined into a single row. So the SELECT looks something like this:
SELECT [Employee ID] = emp.employee_id, [Coverage Code 1] = enr.coverage_code, [Coverage Date 1] = enr.coverage_date, [Coverage Code 2] = case when enr.product_type = 'Accident.Accident' then enr.coverage_code else NULL end,
[Code] ....
I basically want to merge the like Employee ID's together into a single row like the following:
I know I have done this before and it is probably pretty simple.
I'm working on a script to merge multiple columns(30) into a single column separated by a semicolons, but I'm getting the following error below. I tried to convert to the correct value. but I'm still getting an error.
Error: "Conversion failed when converting the varchar value ';' to data type tinyint".
The following works in query if I specify one student (PlanDetailUID) when running query. If I try to specify multiple students (PlanDetailUID) when running query, I get variable cannot take multiple entries. I assume I would need to replace (variables) in PART 2 with (case statements / using select everywhere) to get around the issue or is there a better way ?
how we can replace the multiple values in a single select statement? I have to build the output based on values stored in a table. Please see below the sample input and expected output.
