
In database management, locks are mechanisms that prevent concurrent access to data to ensure data integrity and consistency.
Here are the common types of locks used in databases:
It allows multiple transactions to read a resource simultaneously but not modify it. Other transactions can also acquire a shared lock on the same resource.
It allows a transaction to both read and modify a resource. No other transaction can acquire any type of lock on the same resource while an exclusive lock is held.
It is used to prevent a deadlock scenario when a transaction intends to update a resource.
It is used to protect the structure of database objects.
It is used during bulk insert operations to improve performance by reducing the number of locks required.
It is used in indexed data to prevent phantom reads (inserting new rows into a range that a transaction has already read).
It locks a specific row in a table, allowing other rows to be accessed concurrently.
It locks a specific page (a fixed-size block of data) in the database.
It locks an entire table. This is simple to implement but can reduce concurrency significantly.
In database management, locks are mechanisms that prevent concurrent access to data to ensure data integrity and consistency.
Here are the common types of locks used in databases:
It allows multiple transactions to read a resource simultaneously but not modify it. Other transactions can also acquire a shared lock on the same resource.
It allows a transaction to both read and modify a resource. No other transaction can acquire any type of lock on the same resource while an exclusive lock is held.
It is used to prevent a deadlock scenario when a transaction intends to update a resource.
It is used to protect the structure of database objects.
It is used during bulk insert operations to improve performance by reducing the number of locks required.
It is used in indexed data to prevent phantom reads (inserting new rows into a range that a transaction has already read).
It locks a specific row in a table, allowing other rows to be accessed concurrently.
It locks a specific page (a fixed-size block of data) in the database.
It locks an entire table. This is simple to implement but can reduce concurrency significantly.