Creating a "partially materialized" view in Oracle involves using the Materialized View feature along with a query rewrite technique. This allows you to have both materialized and non-materialized data within the same view, based on specific conditions.
Here's a step-by-step explanation of how to achieve this:
- Start by creating a Materialized View that contains all the necessary data, whether it is fully materialized or not. This is called the "base" Materialized View.
- Next, create a "summary" Materialized View, which will be a subset of the base Materialized View with additional filters or aggregations as needed. This summary view will only contain the portion of data that you want to partially materialize.
- Set the query rewrite capability to enable the Oracle optimizer to automatically rewrite queries to use the summary Materialized View when appropriate. This can be done using the DBMS_MVIEW.EXPLAIN_REWRITE procedure.
- Regularly refresh both the base and summary Materialized Views to keep them up-to-date. The refresh frequency can be adjusted based on your specific needs.
- When querying the partially materialized view, the Oracle optimizer will evaluate the query and, if appropriate, rewrite it to use the summary Materialized View instead of the base Materialized View. This provides performance benefits by reducing the amount of data that needs to be processed.
By following these steps, you can create a "partially materialized" view in Oracle, where certain portions of the data are fully materialized while others are dynamically computed based on query needs.
What is a partially materialized view in Oracle?
A partially materialized view in Oracle is a type of materialized view that stores only a subset of the data from the underlying tables. Unlike a fully materialized view which stores all the data, a partially materialized view only stores a filtered or aggregated subset of the data.
The main advantage of using partially materialized views is to improve query performance. By storing a pre-computed subset of the data, queries that involve the materialized view can be executed faster compared to querying the entire set of underlying tables.
Partially materialized views are typically used in scenarios where the underlying tables are very large and queries often involve only a subset of the data. By creating a partially materialized view with the required filters or aggregations, the query execution can be optimized and performance can be significantly improved.
However, partially materialized views also have some drawbacks. Since they store only a subset of the data, any changes made to the underlying tables may not be reflected in the materialized view. Therefore, it is important to carefully design and maintain partially materialized views to ensure data consistency. Additionally, partially materialized views may consume additional storage space, as they need to store the pre-computed data separately from the underlying tables.
What is the role of the query rewrite integrity level in a partially materialized view in Oracle?
The query rewrite integrity level in a partially materialized view in Oracle determines how the system handles query rewrite operations involving the view.
Query rewrite is a feature in Oracle that allows the database to automatically rewrite certain queries to use materialized views instead of accessing the base tables. This can improve query performance significantly.
For a partially materialized view, which is a type of materialized view that stores only a subset of the data from the base tables, the query rewrite integrity level determines the level of verification performed by the query rewrite mechanism.
There are three levels of query rewrite integrity in Oracle:
- TRUSTED: If the query rewrite integrity level is set to TRUSTED, the database assumes that the materialized view is correct and complete, and does not perform any additional validation. This level provides the highest performance benefits, but also carries the risk of using incorrect or outdated data if the materialized view is not maintained properly.
- STALE_TOLERATED: If the query rewrite integrity level is set to STALE_TOLERATED, the database allows query rewrite operations even if the materialized view is stale, meaning it has not been refreshed with the latest data changes. This level provides some performance benefits but allows the possibility of using outdated data.
- FORCE: If the query rewrite integrity level is set to FORCE, the database does not perform any query rewrite operations involving the partially materialized view, even if it is valid and up-to-date. This level is useful when you want to completely prevent query rewrite on a specific view.
By configuring the appropriate query rewrite integrity level, you can control the behavior of the query rewrite mechanism for a partially materialized view in Oracle, balancing the performance benefits with the need for data accuracy and freshness.
What is the difference between a fully materialized view and a partially materialized view?
A fully materialized view is a database object that contains the result of executing a query, pre-computed and stored as a table or a file. It is fully populated and updated in real-time or periodically to reflect changes in the source data. This means that all the data in the view is physically stored and readily available for queries, making it very efficient for executing queries since there is no need for any further processing.
On the other hand, a partially materialized view is a view that is only partially populated or refreshed. It contains a subset of the data or a calculated subset of the result set of a query. This means that not all the data is stored and available, only a subset is materialized. Partially materialized views are used when the full materialization of the view is expensive in terms of storage or update processing time. They are typically used in cases where there is a large amount of data or complex calculations involved.
The main difference between the two is the level of materialization. Fully materialized views store all the data, while partially materialized views store only a subset. Fully materialized views are more efficient for query execution but may require more storage space and update overhead. Partially materialized views are more flexible in terms of storage and update requirements, but may require additional processing when querying the materialized view.