Challenges of Materialized View
- Storage Overhead: Materialized views are consumes the space of the storage in the database until the physically store the result set of underlying query. It is depends upon the complexity of query and the size of result set are materialized views can be occupy the significant amount of the disk space.
- Data Staleness: Materialized views are need to be the refreshed periodically to the reflect largest changes, which is introduce the latency and potentially result in the data staleness if the not properly managed.
- Refresh Performance: The process of the refreshing materialized views are used to be resource intensive, most of the large datasets or difficult queries. Refreshing the materialized views are required to locking the resources, impact the performance of the other database operations.
- Maintenance Overhead: Manage the materialized view required the additional maintenance tasks like refresh the scheduling, data staleness monitoring and optimizing the storage and performance. Administrators of the database are need to be carefully balanced the benefits of the materialized view against the overhead and they are introduced in the terms of the maintenance and utilization of the resource.
- Consistency and Concurrency: Refresh the materialized views during the maintaining consistency and concurrency in the multi-user environment can be challenged. Depending the isolation level and control of the concurrency mechanism use in the database and refreshing materialized view may be interfere with the concurrent transactions and affect consistency of the data.
Materialization View in DBMS
A materialization view is nothing but a snapshot or materialized query table. It is a database object that stores the results of the query table. Materialized views in the Database Management System (DBMS) work as the existing snapshots of the data, reducing the computational overhead. Unlike standard views, which are data that is virtually dynamically generated when the materialization view contains original data that exists in the database until the data is modified or truncated.