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🦑 Comparison of SQL Server and Oracle to prevent data locking
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1) Database parallel access, that is, two Or two or more users access the same data at the same time, which is also the biggest problem faced by the database engine how to design and implement a moderate response.

2) A well-designed, high-performance database engine can easily serve thousands of users at the same time. The database system with "lack of confidence" will greatly reduce its performance as more users access the system at the same time. In the worst case, the system may even crash.

3) Of course, parallel access is the most important issue for any database solution. Various database systems have proposed various solutions in order to solve the problem of parallel access. SQL Server and Oracle DBMS also use different parallel processing methods. What is the real difference between them?

🦑
1) Parallel access problems
Parallel access problems arise there are several situations. In the simplest case, more than one user may query the same data at the same time. In this case, the operation goal of the database is simple: provide users with fast data access as much as possible. This is not a problem for our common databases: SQL Server and Oracle both use a multi-threaded mechanism, they can of course handle multiple requests at once.

2) SQL Server Methods
Now assume that some people might start modify the data stored on SQL Server, so this piece of data is immediately lock the database. The data lock operation blocks any other connection that accesses the data-even the query operation will not let go. Therefore, this locked data can only accept other access operations after the transaction is submitted or rolled back.

The following uses the pubs sample database that comes with SQL Server as a simple demonstration. Open two windows in Query Analyzer. Execute the following SQL operation statement in the first window to update the price of a book in the pubs database:

use pubs
go
begin tran
update titles
set price = price * 1.05
where

title_id = 'BU2075'

3) Because the commit statement is not executed in the code, Therefore, the data change operation has not actually been completed. Next, execute the following statement in another window to query the titles data table:
select title_id, title, price
from titles
order by title_id.

4) You get nothing. The small globe icon at the bottom of the window will keep turning. Although I only updated one row in the previous operation, the execution object of the select statement happens to contain the row whose data is being modified. Therefore, the above operation will not return any data unless you go back to the first window to submit the transaction or roll back.

5) SQL Server's data locking scheme may reduce the performance and efficiency of the system. The longer the data is locked, or the larger the amount of data locked, the more likely other data access users will have to wait for the execution of their query statements. Therefore, from the programmer's point of view, the transaction code should be designed to be as small and fast as possible when programming SQL Server.

6) The SQL Server solution sounds simple, but in fact, many measures have been taken behind the scenes to provide adequate system performance. For example, if you are modifying multiple rows of data at the same time, SQL Server will increase the data lock range to the page level or even lock the entire data table, so that you do not have to track and maintain individual data locks for each record.

written by undercode
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