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Скачать или смотреть Understanding Oracle SQL Date Issues: Why Your WHERE Clause Fails for Some Dates

  • vlogize
  • 2025-07-25
  • 2
Understanding Oracle SQL Date Issues: Why Your WHERE Clause Fails for Some Dates
Oracle SQL where clause does not work for some datessqloracleoracle19c
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Описание к видео Understanding Oracle SQL Date Issues: Why Your WHERE Clause Fails for Some Dates

Dive into the common pitfalls of using date formats in `Oracle SQL` and learn how to properly query for dates that fall outside the recent range easily!
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This video is based on the question https://stackoverflow.com/q/65770373/ asked by the user 's3-89' ( https://stackoverflow.com/u/12926082/ ) and on the answer https://stackoverflow.com/a/65770424/ provided by the user 'Popeye' ( https://stackoverflow.com/u/11565629/ ) 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 SQL where clause does not work for some dates

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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.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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Understanding Oracle SQL Date Issues: Why Your WHERE Clause Fails for Some Dates

When working with databases, dates can often be tricky. A common issue many developers encounter is an Oracle SQL query that returns no results for certain date values. This problem is particularly frustrating when your query works perfectly fine for more recent dates. In this guide, we will explore a specific challenge with querying dates in Oracle SQL and provide a clear, actionable solution.

The Problem: Inconsistent Query Results for Older Dates

Consider the following SQL query that is intended to retrieve data based on a specific past date:

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

While this query executes without any problems for recent dates (e.g., 20-JUN-16, 30-SEP-19), it fails to return results when querying older dates such as 29-MAR-80 or 01-JAN-94. This inconsistency leads to confusion and requirements to troubleshoot the underlying cause.

What’s the Reason Behind This Behavior?

The core of the issue lies in how Oracle interprets two-digit years. Depending on your database settings for the NLS_DATE_FORMAT, Oracle may convert the two-digit year in the date differently:

If set to YY: The year is determined in a way that any value perceived as 80 converts to 2080. For example, 01-FEB-80 becomes 01-FEB-2080.

If set to RR: The conversion is based on the current year, so a value of 80 would refer to 1980, which may work for your query results if the data exists within that range.

The Solution: How to Safely Query Dates

To avoid confusion and ensure that your queries yield accurate results regardless of the current database settings, you can either use a date literal or properly format your date string when querying. Here are two efficient methods you can use:

Method 1: Using Date Literal

You can use the following command to ensure the date is interpreted correctly:

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

Method 2: Using a Date String with Format

Alternatively, you can use the to_date function to specify the format explicitly, like so:

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

This method also clarifies your intent and prevents misinterpretations by Oracle's date handling rules.

Conclusion

In summary, when working with dates in Oracle SQL, it's crucial to be aware of how two-digit years are interpreted based on your database settings. By adopting one of the described methods of querying dates—whether through date literals or format strings—you can effectively avoid any unexpected results and ensure your database queries are accurate and reliable.

By being proactive about your date handling, you minimize frustration and increase the effectiveness of your SQL queries. Happy querying!

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