I want to update the NewVol1 and NewVol2 in table #Rec2 from NewVol1 and NewVol2 of table #Rec1. It is some tricky because the value is NULL in some records of NewVol1 and NewVol2.
Update query. SAP, Code, Code1, Code2 and SAPdate are keyfield when join both table to update the NewVol1 and NewVol2 in table #Rec2 from NewVol1 and NewVol2 of table #Rec1.
Create table #Rec1 (SAP char(10), Code char(6), Code1 char(6), Code2 char(6), SAPDate datetime, NewVol1 char(20), NewVol2 char(20))
insert into #Rec1 values ('SATRIP','AAA','AA','A','2014-01-01','838.88484884',NULL)
insert into #Rec1 values ('SATRIP','AAA','BB','B','2014-01-01','839.88484884',NULL)
insert into #Rec1 values ('SATRIP','AAA','CC','C','2014-01-01','848.88484884',NULL)
insert into #Rec1 values ('SATRIP','BBB','AA','A','2014-01-01',NULL,'383.48377373')
insert into #Rec1 values ('SATRIP','BBB','BB','B','2014-01-01',NULL,'385.48377333')
insert into #Rec1 values ('SATRIP','BBB','CC','C','2014-01-01',NULL,'675.48377234')
EmployeeAccess (MasterID, LoginID, AccessID, Storage1, Storage2, Storage3) that needs to be updated using the data in the following spreadsheet NewEmployeeAccessData (ID, MasterID, AccessID1, LoginID1)
There is a 1:1 relationship between the two tables..I'm trying to code a pair of update statements on the EmployeeAccess table (1 for LoginID, 1 for AccessID) with the following logic:
If LoginID is NULL, then Update LoginID with new LoginID1 value, If LoginID is not null, and Storage1 is NULL then Update Storage1 with New LoginID1 values If LoginID is not null, and Storage1 is not NULL and Storage2 is NULL then Update Storage2 with New LoginID1 values etc etc...
The same applies when trying to populate the AccessID column
If AccessID is NULL, then Update AccessID with new AccessID1 value, If AccessID is not null, and Storage1 is NULL then Update Storage1 with New AccessID1 values If AccessID is not null, and Storage1 is not NULL and Storage2 is NULL then Update Storage2 with New AccessID1 values etc etc.
I have no control over the schema of this table so I'm trying to work the logic on how to update the columns in my table only if the corresponding column data is NULL, else update the next non NULL Storage column.
For each customer, I want to add all of their telephone numbers to a different column. That is, multiple columns (depending on the number of telephone numbers) for each customer/row. How can I achieve that?
I want my output to be
CUSTOMER ID, FIRST NAME, LAST NAME, TEL1, TEL2, TEL3, ... etc
Each 'Tel' will relate to a one or more records in the PHONES table that is linked back to the customer.
I have persons who speaks multiple languages and they are in one table, each row is added if he/she speaks multiple languages. Instead I want to add additional columns and load the data.(what I have shown in the desired output)
name language ------------- ron english ron french ron spanish andy english andy hindi kate english
Desired output
name language1 language2 language3 language4 language5 language6 ----------------------------------------------------------------- ron english french spanish andy english hindi Kate english
1 Banana2 Orange3 Apple Order tblOrder, tblOrder: CustID; ProductID; Amount
1 ;2 ;$20 – means Peter ordered $20 oranges
How do I write the SQL query so that the values in tblProduct become column, currently I have 20 items in that table. So, it will return something like this according to the information that I provide above?
I am using stored procedure to load gridview,i want to show row specific values in coloumns , as i an working on daily timetable of college and There are three tables Week_Day,Daily_Timetable & Subject.Daily_Timetable has data which has week_day,class_id,Subject_id,Period_No.
Each day has 6 periods and each period is mapped with subject in daily timetable.From below sql i am getting 6 rows of monday.
But i want to show in a row weekname,period1_subject_id(Period_No=1),period2_subject_id(Period_No=2),period3_subject_id.......upto period6_subject_id.
Please see my query below:-
SELECT Week_Day.Week_Day_name, Subject.Subject_Code, Daily_Timetable.Period_No FROM Week_Day LEFT JOIN Daily_Timetable ON Week_Day.Week_Day_Id = Daily_Timetable.Week_Day_Id and Daily_Timetable.Class_Id=6 LEFT JOIN Subject ON Daily_Timetable.Subject_Id = Subject.Subject_Id order by Week_Day.Week_Day_Id ,Daily_Timetable.Period_No
Is it possible to get data-type,default-value, etc. (basically schema information) of columns in a particular query.This is something similar to what we get when we execute the following
SELECT * FROM INFORMATION_SCHEMA.COLUMNS WHERE TABLE_NAME = 'Employees'
But instead of TABLE_NAME i would like to give a query like
SELECT [EmployeeID],[LastName],[FirstName] from [dbo].[Employees] order by [EmployeeID].
table A: | ID | FRUIT | VEGETABLE | GOOD | -------------------------------------------- | 1 | orange | cabbage | no | | 1 | apple | lettuce | yes | | 1 | kiwi | broccoli | no | | 1 | pear | kale | yes |
table B: | ID | FRUIT | VEGETABLE | ------------------------------- | 1 | apple | lettuce | | 2 | pear | kale |
If the fruit and vegetable in table A is found in table B, then set the GOOD column = yes, else no.
This is what I have so far.
update tableA set GOOD = (case when tableA.id = C.id then 'yes' else 'no' end ) from (select tableA.id as id from tableA A left join tableB B on B.fruit = A.fruit and B.vegetable = A.vegetable) C
I am trying to update my SQL table using an update query in powershell from an excel sheet.
The query is as follows,
#building name from excelsheet $TCell=$reader.GetValue(8); #update query is as, $CreateScript1= "UPDATE $DestinationTable SET $DestinationTable.Phone = '$SCell' WHERE RoomNumber = '$FCell' and buildingname like ''$TCell'%'"
I want to use like operator in the query to compare building name from excel sheet with the building name in sql table. I am facing an error in the highlighted part. I am not sure if my query is right or wrong.
How I can get the desired result using query. I don't want any
'@' variable in the result. DECLARE @ST AS varchar(10)='AA' DECLARE @desc AS int=8 DECLARE @STID AS int=4 DECLARE @PP AS int=63 DECLARE @SS AS int=22 /* Desired Result */ Update #RT Set ST='AA', desc=8, STID=4 Where PP=63 and SS=22
I have a stored procedure in which I'll select some rows based on a condition and I need to update the status of those rows within the same stored procedure.For e.g.
Create Procedure [dbo].[myProcedure] As BEGIN BEGIN TRAN T1 SET NOCOUNT ON SELECT TOP 5 * INTO #TempTable FROM myTable WHERE ENABLED = 1 AND FetchDate<=GetDate(); UPDATE myTable SET [Status] = 'Locked' From myTable Inner Join on #TempTable myTable.id = #TempTable.id; SELECT * FROM #TempTable; DROP Table #TempTable; COMMIT TRAN T1 END
The Stored Procedure works fine when I debug in SQL. I'm accessing the StoredProcedure through C# like this.
private ProcessData[] ReadFromDb(string StoredProcedure, SqlConnection Connection) { List<ProcessData> Data = new List<ProcessData>(); SqlCommand Command = new SqlCommand(StoredProcedure, Connection); Command.CommandType = System.Data.CommandType.StoredProcedure; try { Command.CommandTimeout = CONNECTION_TIMEOUT;
[code]....
The problem is I'm getting the required rows in C# but the update query in stored procedure is not working.
i want to update employee table by selecting columns from employee_temp
i do that using oracle but i want it using sql server 2000
Sample syntax Below: for oracle
update employee e set (col1,col2,col3,col4)= (select t1.col1,t1.col2,t1.col3,t1.col4 from employee_temp t where t.col1=:new.col1) where e.col1=:new.col1
this syntax for oracle....
plsease provide sql 2000 syntax and sql 2005 syntax please.........
Got a query taking too much time because of lack of cross columns MAX/MIN functions. Consider a similar example where a View is required to reflect distribution of Water among different towns each having four different levels of distribution reservoir tanks of different sizes:In this case the basic table has columns like:
Now suppose I need a query to distribute QuantityPurchased in the Four additional Columns computed on the basis depending on the sizes declared in the last four fields,in the same order of preference.For example: I have to use IIFs to check: whether the quantity purchased is less than Tank_A if yes then Qty Purchased otherwise Tank_A_Size itself for Tank_A_Filled
then again IIF but this time to check:
Whether the quantity purchased less Tank_A_Filled (Which again needs to be calculated as above) is less than Tank_B if yes then Tank_A_Filled (Which again needs to be calculated as above) otherwise Tank_B_Size itself for Tank_B_Filled
I want to create index for hash table (#TEMPJOIN2) to reduce the update query run time. But I am getting "Warning!
The maximum key length is 900 bytes. The index 'R5IDX_TMP' has maximum length of 1013 bytes. For some combination of large values, the insert/update operation will fail". What is the right way to create index on temporary table.
Update query is running(without index) for 6 hours 30 minutes. My aim to reduce the run time by creating index.
And also I am not sure, whether creating index in more columns will create issue or not.
Attached the update query and index query.
CREATE NONCLUSTERED INDEX [R5IDX_TMP] ON #TEMPJOIN2 ( [PART] ASC, [ORG] ASC, [SPLRNAME] ASC, [REPITEM] ASC, [RFQ] ASC,
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 have a table where table row gets updated multiple times(each column will be filled) based on telephone call in data.
Initially, I have implemented after insert trigger on ROW level thinking that the whole row is inserted into table will all column values at a time. But the issue is all columns are values are not filled at once, but observed that while telephone call in data, there are multiple updates to the row (i.e multiple updates in the sense - column data in row is updated step by step),
I thought to implement after update trigger , but when it comes to the performance will be decreased for each and every hit while row update.
I need to implement after update trigger that should be fired on column level instead of Row level to improve the performance?
I am working on a Statistical Reporting system where:
Data Repository: SQL Server 2005 Business Logic Tier: Views, User Defined Functions, Stored Procedures Data Access Tier: Stored Procedures Presentation Tier: Reporting ServicesThe end user will be able to slice & dice the data for the report by
different organizational hierarchies different number of layers within a hierarchy select a organization or select All of the organizations with the organizational hierarchy combinations of selection criteria, where this selection criteria is independent of each other, and also differeBelow is an example of 2 Organizational Hierarchies: Hierarchy 1
Country -> Work Group -> Project Team (Project Team within Work Group within Country) Hierarchy 2
Client -> Contract -> Project (Project within Contract within Client)Based on 2 different Hierarchies from above - here are a couple of use cases:
Country = "USA", Work Group = "Network Infrastructure", Project Team = all teams Country = "USA", Work Group = all work groups
How to implement the data interface (Stored Procs) to the Reports Implement the business logic to handle the different hierarchies & different number of levelsI did get help earlier in this forum for how to handle a parameter having a specific value or NULL value (to select "all") (WorkGroup = @argWorkGroup OR @argWorkGrop is NULL)
Any Ideas? Should I be doing this in SQL Statements or should I be looking to use Analysis Services.
In our production database we are looking top 10 columns in all the tables, for this using the below script, output was showing only one table how we get the all the tables top 10 ...
I have two temp. tables. I am trying to show the agents how makes the sales and the ones how didnt make sales based on the time that they clock in. One table is called #sales which has only the agents that make sales and other tables is #hours which has both agents that do not make sale. the problem is that I can not get both agents to show on my report. I tried different ways but I could not. #sales table uses (select statement from AmountStats table that stores only the agents who make sale). #hours table uses different tables to store all gents who makes sale and ones that are not making sale.
I'm working on a data analysis involving a table with a large number of records (close to 2 million). I'm using only three of the columns in the table and basically am grouping results based on different criteria. The three columns are PWSID, Installation and AccountType. I have to Provide the PWSID column with a count of the total number of installations per PWSID, also a count of AccountTypes per PWSID. I have the following query, but the numbers aren't adding up and I'm not sure why. I'm falling short in the total count by around 60k records.
I need to query some hierarchical data. I've written a recursive query that allows me to examine a parent and all it's related children using an adjacency data model. The scenario is to allow users to track how columns are populated in an ETL process. I've set up the sample data so that there are two paths:
1. col1 -> col2 -> col3 -> col6 2. col4 - > col5
You can input a column name and get everything from that point downstream. The problem is, you need to be able to start at the bottom and work your way up. Basically, you should be able to put in col6 and see how the data got from col1 to col6. I'm not sure if it's a matter of rewriting the query or changing the schema to invert the relationships.
i have a table with dob and test results , i am trying to pull the data from the table and converting rows columns , below is the table i am using . i used to pivot to do this .
create table #TEST_RESULTS (ID INT,NAME VARCHAR(10),DOB DATETIME,DAYS_SINCE_BIRTH_TO_TEST INT,TEST_RESULTS INT ) INSERT INTO #TEST_RESULTS VALUES(1,'A','2015-01-01' , 0 ,1) ,(1,'A','2015-01-01' , 0 ,1) ,(1,'A','2015-01-01' , 1 ,3) ,(1,'A','2015-01-01' , 2 ,6)
I have a table which I would like to group on several columns, and for the Contract number, I'd like a maximum of four different columns which would contain pivoted information.
Here is my DDL:
CREATE TABLE [dbo].[SV00403]( [CUSTNMBR] [char](15) NOT NULL, [ADRSCODE] [char](15) NOT NULL, [Contract_Number] [char](11) NOT NULL, [WSCONTSQ] [int] NOT NULL,
I am looking for a way to get the PRODUCT of all columns and group by M_DOMA, [FROM] - Basically multiply all columns on the row that are not M_DOMA or [FROM].
How do I select where two columns are the same, but the remaining columns might be different? For example, if I have 4 columns: First, Last, Class, and Year. I want a listing of First, Last, Class and Year but only if the same First, Last has > 1 row (ie that the same person is in the table twice.)
