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Скачать или смотреть Understanding Oracle Index Usage in Views

  • vlogize
  • 2025-05-25
  • 0
Understanding Oracle Index Usage in Views
oracle index in the underlying sql queryoracleindexingoracle19c
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Описание к видео Understanding Oracle Index Usage in Views

Explore how Oracle handles indexes in views and learn if indexes are utilized when querying views with the same column name.
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This video is based on the question https://stackoverflow.com/q/71538333/ asked by the user 'Pato' ( https://stackoverflow.com/u/12312475/ ) and on the answer https://stackoverflow.com/a/71543082/ provided by the user 'BobC' ( https://stackoverflow.com/u/7355859/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: oracle index in the underlying sql query

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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Understanding Oracle Index Usage in Views

Oracle databases are known for their sophisticated data handling capabilities, particularly when it comes to indexing. This guide dives into a common question many SQL users encounter: How does Oracle utilize indexes in views? More specifically, if you have a view and want to know if the underlying indexes are being used when you query that view, you’re in the right place. Let’s take a closer look at the mechanics of Oracle indexing in this context.

The Problem: Using Indexes in Views

Let's start with a basic scenario: Imagine you have a table with two columns, item_name and brand, both of which have bitmap indexes. You create a view to filter the data by a specific brand and alias the item_name column. The question arises: When you query this view, does Oracle utilize the index on item_name?

Here’s a concise version of the setup process:

Table Structure:

item_name (varchar2)

brand (varchar2)

View Creation Example:

[[See Video to Reveal this Text or Code Snippet]]

The Answer: Oracle's Cost-Based Optimization

The short answer to our question is, it depends. The optimizer in Oracle employs a cost-based decision-making process when determining how to execute a query. This means that the optimizer evaluates all possible query execution plans and selects the one that will have the lowest cost. Here’s a breakdown of how this works:

1. Optimizer Decisions

Cost Evaluation: The optimizer estimates the cost associated with different access paths, including whether to use indexes or not.

Index Option: The index access path is indeed one of the strategies available to the optimizer when presenting an execution plan.

2. An Example with Execution Plan

To illustrate, let’s look at an example demonstrating how Oracle processes the query with indexes intact. Below are the steps involved:

[[See Video to Reveal this Text or Code Snippet]]

The output from the above operations will help you understand how the indexes are utilized:

[[See Video to Reveal this Text or Code Snippet]]

3. Key Observations from the Execution Plan

Access Method: The plan indicates TABLE ACCESS BY INDEX ROWID BATCHED, which shows that Oracle is indeed using the index to locate rows efficiently.

Predicate Information: It confirms that predicates affect both the brand and item_name, showing that the optimizer utilized the indexes in determining the best query execution path.

Conclusion: Navigating Indexes with Views

In summary, while you cannot create indexes directly on views in Oracle, the indexes on the underlying tables still play a vital role when querying views. The optimizer evaluates available access paths and may utilize these indexes based on their cost-effectiveness.

Understanding this can enhance your query performance and help you design efficient, effective database systems. Happy querying!

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