How does SQL Server handle deadlocks?

SQL Server handles deadlocks by automatically choosing one of the sessions as a deadlock victim and aborting the transaction. In order to avoid unnecessary deadlocks, SQL Server implements a deadlock detection and resolution process.

For example, consider two sessions, A and B, that are attempting to update the same row in a table. Session A has acquired a shared lock on the row, while Session B has acquired an exclusive lock on the same row. When Session A attempts to acquire an exclusive lock on the same row, a deadlock is detected. SQL Server then chooses one of the sessions as the deadlock victim and aborts the transaction. In this case, Session B is chosen as the deadlock victim and its transaction is aborted.

How do you handle data synchronization between the mobile app and the server?

Data synchronization between the mobile app and the server is typically handled via a combination of client-side and server-side technologies.

On the client-side, the mobile app would need to send data to the server using a web service call, such as an HTTP POST or PUT request. This request would contain the data that needs to be synchronized.

On the server-side, a server-side script would be used to process the request and update the server-side database with the new data. The script would also need to return a response to the mobile app, indicating the success or failure of the data synchronization.

For example, a mobile app might use a web service call to synchronize a user’s profile information with the server. The request would contain the user’s name, email address, and other profile data. The server-side script would then update the user’s profile in the server-side database and return a success response to the mobile app.

What is the purpose of triggers in SQL Server?

Triggers in SQL Server are special stored procedures that are automatically executed in response to an event such as an INSERT, DELETE, or UPDATE statement on a given table. They are used to enforce business rules, maintain data integrity, and to audit changes to data.

For example, a trigger could be used to prevent a user from deleting a record from a table if it is referenced in another table. The trigger would check if the record is referenced in another table and if so, it would raise an error and not allow the delete to occur.