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Скачать или смотреть Effective Methods to Perform a MySQL Search by Two Conditions

  • vlogize
  • 2025-09-06
  • 0
Effective Methods to Perform a MySQL Search by Two Conditions
MySQL - SQL search by two condidtionmysqlsqlselectgroup by
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Описание к видео Effective Methods to Perform a MySQL Search by Two Conditions

Discover how to effectively select and filter data in MySQL using multiple conditions. Learn to extract relevant information from strings with and without delimiters.
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This video is based on the question https://stackoverflow.com/q/63176714/ asked by the user 'SHasdsd' ( https://stackoverflow.com/u/7845844/ ) and on the answer https://stackoverflow.com/a/63178587/ provided by the user 'Akina' ( https://stackoverflow.com/u/10138734/ ) 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: MySQL - SQL search by two condidtion

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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.

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Mastering MySQL: Searching with Two Conditions

When working with databases, accurately extracting the right information can often be a challenge. A common issue arises when we need to search through values that have multiple delimiters. In this guide, we're going to address a specific scenario in MySQL: selecting street names from a list, where some entries include commas, while others do not. Here’s how we can tackle this issue effectively.

Understanding the Problem

Imagine you have a dataset containing various street names formatted like this:

Street 1

Street 2, City

Street 3, Country

Street 4

Your goal is to extract just the street names without any additional information, regardless of whether they are followed by a comma or not. The complexity lies in distinguishing how to handle cases both with and without a comma present.

The Solution

By utilizing MySQL functions, we can efficiently select street names both when they are followed by a comma and when they are not. The solution lies in the SQL query we can construct using string manipulation functions such as SUBSTRING_INDEX(). Let's break this down.

Step-by-Step Guide to the SQL Query

Query Structure:
To achieve this, we can use the following SQL statement:

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

Understanding the Components:

SUBSTRING_INDEX(): This function extracts a substring from a string before a specified delimiter. In our case, it allows us to capture everything before the comma.

DISTINCT: This keyword ensures that we get unique street names. If multiple entries have the same street name, they will only appear once in the results.

Query Execution:

When you run this query, MySQL will look through the physicalDeliveryOfficeName column in the contacts table and return just the part of the entry before the first comma.

If there is no comma present in an entry, the entire string will be returned.

Final Output

After executing the query, your results will include:

Street 1

Street 2

Street 3

Street 4

This approach simplifies the extraction process by ensuring that both types of entries (with and without commas) are handled uniformly.

Conclusion

In summary, searching for entries based on multiple conditions can be simplified with the right SQL functions. By utilizing SUBSTRING_INDEX() along with DISTINCT, we can effectively extract just the street names from a column that may include various formats. This method not only enhances our ability to cleanly retrieve data but also supports better data analysis practices moving forward.

Whether you are a seasoned database administrator or a novice exploring MySQL, understanding how to manipulate strings within your queries is an invaluable skill. Happy querying!

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