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Скачать или смотреть Efficiently Indexing Part of a Column with Variable Length Character Strings in Oracle

  • vlogize
  • 2025-10-02
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Efficiently Indexing Part of a Column with Variable Length Character Strings in Oracle
index part of column with flexible number of characteroracleperformanceindexing
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Описание к видео Efficiently Indexing Part of a Column with Variable Length Character Strings in Oracle

Learn how to create a function-based index on variable-length character strings in Oracle databases to improve query performance.
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This video is based on the question https://stackoverflow.com/q/62231769/ asked by the user 'Mahsa ehsani' ( https://stackoverflow.com/u/4943087/ ) and on the answer https://stackoverflow.com/a/62232261/ provided by the user 'Littlefoot' ( https://stackoverflow.com/u/9097906/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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Efficiently Indexing Part of a Column with Variable Length Character Strings in Oracle

In the world of databases, retrieving data quickly is of utmost importance for optimal performance. However, there are certain challenges that arise when working with variable-length strings, particularly when you want to index only specific parts of those strings. For example, consider a column where each entry consists of a combination of special characters, alphabets, and numerical portions—in which case, we may only want to index the numerical sections. In this guide, we'll tackle this exact problem by utilizing Oracle's indexing capabilities.

The Problem

Let's say you have a dataset represented by a column that contains values like @ aaa/453, $bcdxyz/35, and # gf/203. In these strings, the numerical section is our primary area of interest. Here’s the main challenge: the number of characters in each section of the column is variable, making it tricky to perform efficient lookups based solely on numerical values.

Understanding the Requirement

You need to fetch numerical values from a string that contains multiple parts.

The numerical section could vary in length and position within the string.

Therefore, indexing just this numerical section will help in optimizing your query performance when filtering based on numerical values.

The Solution

The approach to solving this problem involves using Oracle's Regular Expressions and creating a function-based index. Here’s how you can do this step-by-step:

Step 1: Create a Sample Table

First, we need to set up a sample table to work with. Here's an example that creates a simple table and inserts three different string values:

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

Step 2: Querying the Data

You can now use a query to fetch rows based on the numerical portion of your strings. To achieve this, you can use the REGEXP_SUBSTR function, which extracts the numerical part from your string:

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

This query will specifically look for the number 35 within the formatted strings and return the corresponding row.

Step 3: Create a Function-Based Index

For better performance, especially if you're running this query frequently or on large data sets, creating a function-based index on the extracted numerical part will help significantly:

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

This command creates an index that is based on the result of the REGEXP_SUBSTR(COL, '\d+ $') function, optimizing the lookup time for future queries.

Step 4: Review the Execution Plan

After creating the index, you can check how the execution plan of the query looks now:

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

Analyzing the execution plan will allow you to see how Oracle will retrieve the data using the newly created index, offering insight into performance improvements.

Conclusion

By following the steps outlined above, you can effectively index part of a column with a flexible number of characters in Oracle databases. Utilizing regular expressions and function-based indexing not only enhances query performance but also allows for greater flexibility in handling variable string lengths. So next time you're faced with similar challenges, remember this approachable solution to improve your database queries!

Feel free to try it out and see how it performs for your needs!

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