Queries for HOLDLOCK Table Hint
1. Ensuring Consistent Financial Aggregation for an Audit Report (Ensure that transaction is used and committed succesfully)
SQL Server Query 1
BEGIN TRANSACTION;
-- Step 1: Read all order details for a specific period, holding locks.
-- This ensures no new order details are inserted for these orders,
-- and no existing ones are modified or deleted, for the duration of this transaction.
SELECT
OD.ProductID,
SUM(OD.Quantity * OD.UnitPrice * (1 - OD.Discount)) AS PeriodSales
INTO #TempProductPeriodSales -- Store in temp table for further processing
FROM [Order Details] AS OD WITH (HOLDLOCK) -- Hold locks on order details
JOIN Orders AS O WITH (HOLDLOCK) -- Hold locks on orders
ON OD.OrderID = O.OrderID
WHERE O.OrderDate BETWEEN '1997-01-01' AND '1997-01-31'
GROUP BY OD.ProductID;
-- Step 2: Now, use the consistent data from the temp table for final reporting
-- The data in #TempProductPeriodSales is guaranteed to be consistent with the initial read.
SELECT
P.ProductName,
TPS.PeriodSales
FROM Products AS P
JOIN #TempProductPeriodSales AS TPS ON P.ProductID = TPS.ProductID
WHERE TPS.PeriodSales > 1000
ORDER BY TPS.PeriodSales DESC;
-- Clean up temp table
DROP TABLE #TempProductPeriodSales;
COMMIT TRANSACTION;
Create SQL query with SqlQueryBuilder 1
var (sql1, parameters1) = new SqlQueryBuilder()
.Select()
.Column("OD.ProductID")
.Column(new SUM(new ColumnArithmatic("OD.Quantity").MULTIPLY("OD.UnitPrice").MULTIPLY()
.StartBracket(1).SUBTRACT("OD.Discount").EndBracket()), "PeriodSales")
.INTO(new Table("#TempProductPeriodSales"))
.From("[Order Details]", "OD", new List<IHint>() { new HOLDLOCK() })
.Join(new List<IJoin>()
{
new INNERJOIN().TableName("Orders", "O", new List<IHint>() { new HOLDLOCK() })
.On(new Column("OD.OrderID").Equale(new Column("O.OrderID")))
})
.Where(new Where(new BETWEEN(new Column("O.OrderDate"), "1997-01-01", "1997-01-31")))
.GroupBy(new GroupBy("OD.ProductID"))
.Select()
.Columns("P.ProductName", "TPS.PeriodSales")
.From("Products","P")
.Join(new List<IJoin>()
{
new INNERJOIN().TableName("#TempProductPeriodSales", "TPS")
.On(new Column("P.ProductID").Equale(new Column("TPS.ProductID")))
})
.Where(new Where(new Column("TPS.PeriodSales").GreaterThan(1000)))
.OrderBy(new OrderBy().SetColumnDescending("TPS.PeriodSales"))
.DropTable(new Table("#TempProductPeriodSales"))
.Build();
Query build by SqlQueryBuilder 1
SELECT OD.ProductID,
SUM(OD.Quantity * OD.UnitPrice * (@pMAIN_2507200147312975520 - OD.Discount)) AS PeriodSales
INTO #TempProductPeriodSales
FROM [Order Details] AS OD WITH (HOLDLOCK)
INNER JOIN
Orders AS O WITH (HOLDLOCK)
ON OD.OrderID = O.OrderID
WHERE O.OrderDate BETWEEN @pMAIN_2507200147312975521 AND @pMAIN_2507200147312975522
GROUP BY OD.ProductID;
SELECT P.ProductName,
TPS.PeriodSales
FROM Products AS P
INNER JOIN
#TempProductPeriodSales AS TPS
ON P.ProductID = TPS.ProductID
WHERE TPS.PeriodSales > @pMAIN_2507200147312975523
ORDER BY TPS.PeriodSales DESC;
DROP TABLE #TempProductPeriodSales;
Parameters (If used)
Name |
Value |
@pMAIN_2507200147312975520 |
1 |
@pMAIN_2507200147312975521 |
1997-01-01 |
@pMAIN_2507200147312975522 |
1997-01-31 |
@pMAIN_2507200147312975523 |
1000 |
Query Results 1:
|
ProductName |
PeriodSales |
1 |
Côte de Blaye
|
18803.3603515625
|
2 |
Raclette Courdavault
|
4364.80001831055
|
3 |
Vegie-spread
|
3202.875
|
4 |
Gnocchi di nonna Alice
|
3192
|
5 |
Tarte au sucre
|
2955
|
6 |
Alice Mutton
|
2355.60007476807
|
7 |
Thüringer Rostbratwurst
|
2079
|
8 |
Gumbär Gummibärchen
|
1755.44996261597
|
9 |
Camembert Pierrot
|
1550.40002441406
|
10 |
Mishi Kobe Niku
|
1396.79992675781
|
11 |
Rössle Sauerkraut
|
1375.92004394531
|
12 |
Flotemysost
|
1290
|
13 |
Tofu
|
1208.99998474121
|
14 |
Steeleye Stout
|
1195.20001220703
|
2. Ensuring Data Integrity Before a Complex Update Operation (Ensure that transaction is used and committed succesfully)
SQL Server Query 2
BEGIN TRANSACTION;
-- Step 1: Identify employees with high freight orders, holding locks to ensure consistency.
-- This prevents concurrent updates to Order Freight or new orders for these employees
-- until this transaction completes.
SELECT DISTINCT
E.EmployeeID,
E.FirstName,
E.LastName
INTO #TempHighFreightEmployees
FROM Employees AS E WITH (HOLDLOCK) -- Hold locks on employees (if relevant for your EmployeeID filtering)
JOIN Orders AS O WITH (HOLDLOCK) -- Hold locks on orders
ON E.EmployeeID = O.EmployeeID
GROUP BY E.EmployeeID, E.FirstName, E.LastName
HAVING SUM(O.Freight) > 10000;
-- Step 2: Now, use the consistent set of EmployeeIDs for a subsequent operation.
-- This update will only use the EmployeeIDs identified in Step 1,
-- and you are guaranteed their high-freight status was accurate at the time of Step 1.
-- (Assuming a hypothetical EmployeePerformance table)
-- INSERT INTO EmployeePerformance (EmployeeID, Metric, Value)
-- SELECT EmployeeID, 'HighFreightOrders', 1 FROM #TempHighFreightEmployees;
-- For demonstration, just select them again
SELECT * FROM #TempHighFreightEmployees;
DROP TABLE #TempHighFreightEmployees;
COMMIT TRANSACTION;
Create SQL query with SqlQueryBuilder 2
var (sql2, parameters2) = new SqlQueryBuilder()
.Select().Distinct()
.Columns("E.EmployeeID","E.FirstName","E.LastName")
.INTO(new Table("#TempHighFreightEmployees"))
.From("Employees","E", new List<IHint>() { new HOLDLOCK() })
.Join(new List<IJoin>()
{
new INNERJOIN().TableName("Orders","O", new List<IHint>() { new HOLDLOCK() })
.On(new Column("E.EmployeeID").Equale(new Column("O.EmployeeID")))
})
.GroupBy(new GroupBy("E.EmployeeID","E.FirstName","E.LastName"))
.Having(new Having(new SUM(new Column("O.Freight")).GreaterThan(10000)))
.Select().Star().From(new Table("#TempHighFreightEmployees"))
.DropTable(new Table("#TempHighFreightEmployees"))
.Build();
Query build by SqlQueryBuilder 2
SELECT DISTINCT E.EmployeeID,
E.FirstName,
E.LastName
INTO #TempHighFreightEmployees
FROM Employees AS E WITH (HOLDLOCK)
INNER JOIN
Orders AS O WITH (HOLDLOCK)
ON E.EmployeeID = O.EmployeeID
GROUP BY E.EmployeeID, E.FirstName, E.LastName
HAVING SUM(O.Freight) > @pMAIN_2507200147313138230;
SELECT *
FROM #TempHighFreightEmployees;
DROP TABLE #TempHighFreightEmployees;
Parameters (If used)
Name |
Value |
@pMAIN_2507200147313138230 |
10000 |
Query Results 2:
|
EmployeeID |
LastName |
FirstName |
1 |
3
|
Leverling
|
Janet
|
2 |
4
|
Peacock
|
Margaret
|