Below is a table store in database:
ID Age SectionID
111 29 NULL
100 30 NULL
To update Column Age with with a text file(see below for sample data)
ID Age SectionID
111 29 231
100 30 456
The text file comes without the column names.
I tired using the import wizard but seems its adding all the columns to the table again. I only need to add the SectionID column to the table. Can anyone tell me how to select the settings to make that happen? Thanks!!!!!!
You can use a BULK INSERT to insert the data into a temporary table, do an UPDATE and delete the temporary table.
Example:
CREATE TABLE #TEMP (
ID INT,
Age INT,
SectionID INT)
GO
BULK INSERT #TEMP
FROM 'HereGoesYourFileName'
WITH
(
FIELDTERMINATOR =' ',
ROWTERMINATOR = '\n'
)
GO
UPDATE ot
SET ot.SectionID = t.SectionID
FROM OriginalTable ot JOIN #TEMP t ON ot.ID = t.ID
GO
DROP TABLE #TEMP
GO
Related
My database contains 'n' number of columns:
name Phone_no Person_1 Person_2 Person_3 Person_4
john 123 1 2 3 4
Nolan 1234 23 34 1 5
If the Phone_no is 1234 then I want to delete the columns Person_1, Person_3.
I know about the column numbers(Column 3( Person_1), Column 5( Person_3 )) which has to be deleted.
Is there any way to delete the multiple columns through a single SQL statement.
Is this what you want?
update mytable set person_1 = null, person_5 = null
where phone_no = 1234
I understand that by delete columns person_1 and person_3 where phone_no is 1234 you mean set values to null in columns person_1 and person_3 where phone_no is 1234.
If you want to actually remove the columns, then it's a different question. In SQLite, you need to recreate the table:
create table tmp_table(
name varchar(50), -- adapt the datatypes and lengths to your requirement
phone_no int,
person_2 varchar(50),
person_4 varchar(50)
);
insert into tmp select name, phone, person_2, person_4 from mytable;
drop table mytable;
create table mytable(
name varchar(50),
phone_no int,
person_2 varchar(50),
person_4 varchar(50)
);
insert into mytable select name, phone, person_2, person_4 from tmp_table;
drop table tmp_table;
Is there any way to delete the multiple columns through a single SQL statement.
Another way is to run a single SQLite3 statement multiple times:
https://stackoverflow.com/a/16162224/3426192
e.g: SQLite 2021-03-12 (3.35.0) now supports: DROP COLUMN
I am looking to create a SQL Server trigger that moves a record from one table to an identical replica table if the record matches a specific condition.
Questions: do I need to specify each column, or can I use a wildcard?
Can I use something like:
SET #RecID = (SELECT [RecoID] FROM Inserted)
IF NULLIF(#RecID, '') IS NOT NULL
(then insert....)
THANKS!
There's a lot of stuff you "CAN" do in a trigger, but that doesn't mean you should. I'd would urge to to avoid setting scalar variables within a trigger at all costs. Even if you 100% sure your table will never have more that 1 row inserted per transaction because that's how the app is designed... You'll be in for very rude awakening when you find out that not all transactions come through the application.
Below is a quick demonstration of both types of triggers...
USE tempdb;
GO
IF OBJECT_ID('tempdb.dbo.PrimaryTable', 'U') IS NOT NULL
DROP TABLE dbo.PrimaryTable;
GO
IF OBJECT_ID('tempdb.dbo.TriggerScalarLog', 'U') IS NOT NULL
DROP TABLE dbo.TriggerScalarLog;
GO
IF OBJECT_ID('tempdb.dbo.TriggerMultiRowLog', 'U') IS NOT NULL
DROP TABLE dbo.TriggerMultiRowLog;
GO
CREATE TABLE dbo.PrimaryTable (
Pt_ID INT NOT NULL IDENTITY (1,1) PRIMARY KEY CLUSTERED,
Col_1 INT NULL,
Col_2 DATE NOT NULL
CONSTRAINT df_Col2 DEFAULT (GETDATE())
);
GO
CREATE TABLE dbo.TriggerScalarLog (
Pt_ID INT,
Col1_Old INT,
Col1_New INT,
Col2_Old DATE,
Col2_New DATE
);
GO
CREATE TABLE dbo.TriggerMultiRowLog (
Pt_ID INT,
Col1_Old INT,
Col1_New INT,
Col2_Old DATE,
Col2_New DATE
);
GO
--=======================================================
CREATE TRIGGER dbo.PrimaryCrudScalar ON dbo.PrimaryTable
AFTER INSERT, UPDATE, DELETE
AS
SET NOCOUNT ON;
DECLARE
#Pt_ID INT,
#Col1_Old INT,
#Col1_New INT,
#Col2_Old DATE,
#Col2_New DATE;
SELECT
#Pt_ID = ISNULL(i.Pt_ID, d.Pt_ID),
#Col1_Old = d.Col_1,
#Col1_New = i.Col_1,
#Col2_Old = d.Col_2,
#Col2_New = i.Col_2
FROM
Inserted i
FULL JOIN Deleted d
ON i.Pt_ID = d.Pt_ID;
INSERT dbo.TriggerScalarLog (Pt_ID, Col1_Old, Col1_New, Col2_Old, Col2_New)
VALUES (#Pt_ID, #Col1_Old, #Col1_New, #Col2_Old, #Col2_New);
GO -- DROP TRIGGER dbo.PrimaryCrudScalar;
CREATE TRIGGER PrimaryCrudMultiRow ON dbo.PrimaryTable
AFTER INSERT, UPDATE, DELETE
AS
SET NOCOUNT ON;
INSERT dbo.TriggerMultiRowLog (Pt_ID, Col1_Old, Col1_New, Col2_Old, Col2_New)
SELECT
ISNULL(i.Pt_ID, d.Pt_ID),
d.Col_1,
i.Col_1,
d.Col_2,
i.Col_2
FROM
Inserted i
FULL JOIN Deleted d
ON i.Pt_ID = d.Pt_ID;
GO -- DROP TRIGGER dbo.TriggerMultiRowLog;
--=======================================================
--=======================================================
-- --insert test...
INSERT dbo.PrimaryTable (Col_1)
SELECT TOP 100
o.object_id
FROM
sys.objects o;
SELECT 'INSERT Scarar results';
SELECT * FROM dbo.TriggerScalarLog tsl;
SELECT 'INSERT Multi-Row results';
SELECT * FROM dbo.TriggerMultiRowLog tmrl;
UPDATE pt SET
pt.Col_1 = pt.Col_1 + rv.RandomVal,
pt.Col_2 = DATEADD(DAY, rv.RandomVal, pt.Col_2)
FROM
dbo.PrimaryTable pt
CROSS APPLY ( VALUES (ABS(CHECKSUM(NEWID())) % 10000 + 1) ) rv (RandomVal);
SELECT 'UPDATE Scarar results';
SELECT * FROM dbo.TriggerScalarLog tsl;
SELECT 'UPDATE Multi-Row results';
SELECT * FROM dbo.TriggerMultiRowLog tmrl;
DELETE pt
FROM
dbo.PrimaryTable pt;
SELECT 'DELETE Scarar results';
SELECT * FROM dbo.TriggerScalarLog tsl;
SELECT 'DELETE Multi-Row results';
SELECT * FROM dbo.TriggerMultiRowLog tmrl;
You could, but I'd recommend against it. If your source table changed things would start failing.
Also, in your example if you were to ever have more than one row inserted at a time you would get thrown an error (or have unpredictable results). I'd recommend a more set based approach:
INSERT table2 ( user_id ,
user_name ,
RecoID
)
SELECT user_id ,
user_name ,
RecoID
FROM inserted i
LEFT JOIN table2 t ON i.RecoID = t.RecoID
WHERE t.RecoID IS NULL;
EDIT:
If you want to stop the insert happening on your original table then you'll need to do something along the lines of:
CREATE TRIGGER trigger_name
ON table_orig
INSTEAD OF INSERT
AS
BEGIN
-- make sure we aren't triggering from ourselves from another trigger
IF TRIGGER_NESTLEVEL() <= 1
return;
-- insert into the table_copy if the inserted row is already in table_orig (not null)
INSERT table_copy ( user_id ,
user_name ,
RecoID
)
SELECT user_id ,
user_name ,
RecoID
FROM inserted i
LEFT JOIN table_orig c ON i.RecoID = c.RecoID
WHERE t.RecoID IS NOT NULL;
-- insert into table_orig if the inserted row is not already in table_orig (null)
INSERT table_orig ( user_id ,
user_name ,
RecoID
)
SELECT user_id ,
user_name ,
RecoID
FROM inserted i
LEFT JOIN table_orig c ON i.RecoID = c.RecoID
WHERE t.RecoID IS NULL;
END;
The instead of will stop the insert if you don't want it to actually be inserted, so you'll need to do that yourself (the second insert statement).
Please note I changed some nulls to not nulls and the table we are left joining to in some cases.
I need some expert help to do left join on nvarchar(max) column with an int column. I have a Company table with EmpID as nvarchar(max) and this column holds multiple employee ID's separated with commas:
1221,2331,3441
I wanted to join this column with Employee table where EmpID is int.
I did something like below, But this doesn't work when I have 3 empId's or just 1 empID.
SELECT
A.*, B.empName AS empName1, D.empName AS empName2
FROM
[dbo].[Company] AS A
LEFT JOIN
[dbo].[Employee] AS B ON LEFT(A.empID, 4) = B.empID
LEFT JOIN
[dbo].[Employee] AS D ON RIGHT(A.empID, 4) = D.empID
My requirement is to get all empNames if there are multiple empID's in separate columns. Would highly appreciate any valuable input.
You should, if possible, normalize your database.
Read Is storing a delimited list in a database column really that bad?, where you will see a lot of reasons why the answer to this question is Absolutly yes!.
If, however, you can't change the database structure, you can use LIKE:
SELECT A.*, B.empName AS empName1, D.empName AS empName2
FROM [dbo].[Company] AS A
LEFT JOIN [dbo].[Employee] AS B ON ',' + A.empID + ',' LIKE '%,'+ B.empID + ',%'
You can give STRING_SPLIT a shot.
SQL Server (starting with 2016)
https://learn.microsoft.com/en-us/sql/t-sql/functions/string-split-transact-sql
CREATE TABLE #Test
(
RowID INT IDENTITY(1,1),
EID INT,
Names VARCHAR(50)
)
INSERT INTO #Test VALUES (1,'John')
INSERT INTO #Test VALUES (2,'James')
INSERT INTO #Test VALUES (3,'Justin')
INSERT INTO #Test VALUES (4,'Jose')
GO
CREATE TABLE #Test1
(
RowID INT IDENTITY(1,1),
ID VARCHAR(MAX)
)
INSERT INTO #Test1 VALUES ('1,2,3,4')
GO
SELECT Value,T.* FROM #Test1
CROSS APPLY STRING_SPLIT ( ID , ',' )
INNER JOIN #Test T ON value = EID
It sounds like you need a table to link employees to companies in a formal way. If you had that, this would be trivial. As it is, this is cumbersome and super slow. The below script creates that linkage for you. If you truly want to keep your current structure (bad idea), then the part you want is under the "insert into..." block.
--clean up the results of any prior runs of this test script
if object_id('STACKOVERFLOWTEST_CompanyEmployeeLink') is not null
drop table STACKOVERFLOWTEST_CompanyEmployeeLink;
if object_id('STACKOVERFLOWTEST_Employee') is not null
drop table STACKOVERFLOWTEST_Employee;
if object_id('STACKOVERFLOWTEST_Company') is not null
drop table STACKOVERFLOWTEST_Company;
go
--create two example tables
create table STACKOVERFLOWTEST_Company
(
ID int
,Name nvarchar(max)
,EmployeeIDs nvarchar(max)
,primary key(id)
)
create table STACKOVERFLOWTEST_Employee
(
ID int
,FirstName nvarchar(max)
,primary key(id)
)
--drop in some test data
insert into STACKOVERFLOWTEST_Company values(1,'ABC Corp','1,2,3,4,50')
insert into STACKOVERFLOWTEST_Company values(2,'XYZ Corp','4,5,6,7,8')--note that annie(#4) works for both places
insert into STACKOVERFLOWTEST_Employee values(1,'Bob') --bob works for abc corp
insert into STACKOVERFLOWTEST_Employee values(2,'Sue') --sue works for abc corp
insert into STACKOVERFLOWTEST_Employee values(3,'Bill') --bill works for abc corp
insert into STACKOVERFLOWTEST_Employee values(4,'Annie') --annie works for abc corp
insert into STACKOVERFLOWTEST_Employee values(5,'Matthew') --Matthew works for xyz corp
insert into STACKOVERFLOWTEST_Employee values(6,'Mark') --Mark works for xyz corp
insert into STACKOVERFLOWTEST_Employee values(7,'Luke') --Luke works for xyz corp
insert into STACKOVERFLOWTEST_Employee values(8,'John') --John works for xyz corp
insert into STACKOVERFLOWTEST_Employee values(50,'Pat') --Pat works for XYZ corp
--create a new table which is going to serve as a link between employees and their employer(s)
create table STACKOVERFLOWTEST_CompanyEmployeeLink
(
CompanyID int foreign key references STACKOVERFLOWTEST_Company(ID)
,EmployeeID INT foreign key references STACKOVERFLOWTEST_Employee(ID)
)
--this join looks for a match in the csv column.
--it is horrible and slow and unreliable and yucky, but it answers your original question.
--drop these messy matches into a clean temp table
--this is now a formal link between employees and their employer(s)
insert into STACKOVERFLOWTEST_CompanyEmployeeLink
select c.id,e.id
from
STACKOVERFLOWTEST_Company c
--find a match based on an employee id followed by a comma or preceded by a comma
--the comma is necessary so we don't accidentally match employee "5" on "50" or similar
inner join STACKOVERFLOWTEST_Employee e on
0 < charindex( convert(nvarchar(max),e.id) + ',',c.employeeids)
or 0 < charindex(',' + convert(nvarchar(max),e.id) ,c.employeeids)
order by
c.id, e.id
--show final results using the official linking table
select
co.Name as Employer
,emp.FirstName as Employee
from
STACKOVERFLOWTEST_Company co
inner join STACKOVERFLOWTEST_CompanyEmployeeLink link on link.CompanyID = co.id
inner join STACKOVERFLOWTEST_Employee emp on emp.id = link.EmployeeID
create table tbl1(rno int, name varchar(10))
insert into tbl1 values(101, 'neha')
alter table tbl1 add city varchar(10)
select * from tbl1
In this code, I am inserting a record into city column. I tried following code too, but this not proper code need help to add a record.
insert into tbl1 (city)
SELECT CITY
FROM tbl1
WHERE rno = 1
update tbl1
set city = 'pune'
where rno = 1;
2nd query is returning "0 records updated" ans.
The row that you inserted into your table has rno = 101 - so your UPDATE statement must look like this:
update tbl1
set city = 'pune'
where rno = 101; -- use **101** here - not **1** !!
I Have the following scenario:
CREATE TABLE dbo.Orders
(
OrderID int IDENTITY (1,1) NOT NULL
, OrderVersion int DEFAULT(1)
, Customer varchar(30)
, ScheduleDate date
, PaymentOption int
);
CREATE TABLE dbo.OrdersItems
(
OrderItemsID int IDENTITY (1,1) NOT NULL
, OrderID int
, Product varchar(100)
, Qty int
, value decimal(18,2)
);
CREATE TABLE dbo.logOrders
(
OrderID int NOT NULL
, OrderVersion int DEFAULT(1)
, Customer varchar(30)
, ScheduleDate date
, PaymentOption int
);
CREATE TABLE dbo.logOrdersItems
(
OrderItemsID int NOT NULL
, OrderID int
, Product varchar(100)
, Qty int
, value decimal(18,2)
);
-- Insert values into the table.
INSERT INTO dbo.Orders (Customer , ScheduleDate, PaymentOption)
VALUES ('John', 2016-09-01, 1);
INSERT INTO dbo.OrdersItems( OrderId, Product, Qty, Value)
VALUES (1, 'Foo', 20, 35.658),
(1, 'Bla', 50, 100)
(1, 'XYZ', 10, 3589)
First Statement
UPDATE Orders set ScheduleDate = 2016-10-05 WHERE OrderId = 1
Second Statement
Delete From OrdersItems WHERE OrderItemsID = 2
UPDATE OrdersItems set Qty = 5 WHERE OrderItemsID = 1
Third Statement
Update Orders set PaymentOption = 2 WHERE OrderId = 1
Update OrdersItems set Value = 1050 WHERE OrderItemsID = 3
I am trying to figure out how to make a trigger that after each one of the Statements Sample above Insert on the log Tables the data before the changing. And setting the OrderVersion to OrderVersion + 1 on table Orders.
So on the log Tables I will have all versions after the later one.
Is it possible to make a single trigger to monitor both tables and execute getting the original data before the UPDATE, DELETE , INSERT statement to get the original data and INSERT on the logTables ?
Here comes a sample to explain better what result I want.
This is the Initial Data on table Orders and OrdersItems
If I make an Update on Orders ( any column ) or Make an Update,Insert,Delete on OrdersItems I need to Insert on respectively logTables the data on the image.
And with this I'll have on logOrders and logItems the original data and on the Orders and Items the altered data.
I Hope I could explain better what I mean.
You will need two triggers. The trigger for the Orders table handles Orders table update/delete. The trigger for the OrdersItems table does the same for OrdersItems. The triggers look like this:
For the Orders table:
CREATE TRIGGER dbo.Orders_trigger
ON dbo.Orders
AFTER DELETE,UPDATE
AS
BEGIN
SET NOCOUNT ON;
INSERT INTO dbo.logOrders
SELECT * FROM DELETED;
INSERT INTO dbo.logOrdersItems
SELECT oi.* FROM OrdersItems oi
WHERE oi.OrderID IN (SELECT OrderId FROM DELETED);
END
GO
For OrdersItems:
CREATE TRIGGER dbo.OrdersItems_trigger
ON dbo.OrdersItems
AFTER DELETE,UPDATE
AS
BEGIN
SET NOCOUNT ON;
--Inerst the changed/deleted OrdersItems into the log
INSERT INTO dbo.logOrdersItems
SELECT * FROM DELETED
--Inserts the unchanged sibling OrdersItems records into the log
INSERT INTO dbo.logOrdersItems
SELECT oi.* FROM OrdersItems oi
WHERE oi.OrderId IN (SELECT DISTINCT OrderId FROM DELETED)
AND oi.OrderItemsID NOT IN (SELECT DISTINCT OrderItemsID FROM DELETED);
INSERT INTO dbo.logOrders
SELECT o.* FROM Orders o
WHERE o.OrderID IN (SELECT DISTINCT OrderId FROM DELETED);
END
GO
The Orders Trigger is fairly straightforward. Use the virtual DELETED table to insert the original version of the records into the log. Then join to the child OrdersItems records and insert them into the log as well. The way this is written, it will work even if you update or delete multiple Order records at a time.
The OrdersItems Trigger is a bit more complicated. You need to log the pre-chage version of the OrdersItems and Orders Records. But you also want (I think) to log the unchanged "sibling" OrdersItems records as well so that you have a complete picture of the records.
I know this is just your sample data, but you will want to add some kind of a timestamp to the records in the log tables. Otherwise you just end up with a bunch of duplicate rows and you cannot tell which is which. At the beginning of the trigger you can create a variable to hold the update datetime and then append that to your INSERT statement for the logs.
DECLARE #UpdateDateTime DATETIME;
SET #UpdateDateTime = GETUTCDATE();