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Discover how to effectively filter unique values in MySQL while excluding certain conditions using an example involving tracking chip numbers and their fates. --- This video is based on the question https://stackoverflow.com/q/62886258/ asked by the user 'Rod-Miller' ( https://stackoverflow.com/u/8196922/ ) and on the answer https://stackoverflow.com/a/62887246/ provided by the user 'Zhiyong' ( https://stackoverflow.com/u/13895572/ ) 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 selecting DISTINCT value WHERE 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. --- Understanding the Problem: Selecting Unique Values in MySQL When working with databases, especially for features like autocomplete, it’s essential to extract unique values while applying specific conditions to filter out unwanted results. A common scenario arises when you have a tracking chip number that may have multiple entries based on their status, such as "Died" or "Relocated." For instance, let's say you have two tracking chip numbers, where one has already been marked as "Died." In an autocomplete feature, you might want to ensure that only the relevant, active tracking chip numbers show up in search suggestions. The Challenge In this case, you’re trying to achieve the following with your SQL query: Select distinct values from a database. Return only active records while excluding those with a fate of "Died". With the existing query returning both active and inactive records, it can be challenging to isolate just the values you want. Solution: Advanced SQL Querying Techniques To address this filtering issue, we can utilize a more advanced SQL query that incorporates a join while also ensuring that we exclude any records marked as "Died". Below, I'll break down the query you can use: The SQL Query [[See Video to Reveal this Text or Code Snippet]] Explanation of the Query SELECT DISTINCT: This part of the query specifies that we want to retrieve unique trackingChipNumber values. FROM main AS t1: We are selecting from the main table, referring to it as t1. LEFT JOIN: We join the table main again (as t2) so we can check for any entries where the fate is "Died". ON Clause: This part specifies the condition for the join, matching the same trackingChipNumber values and filtering for those marked as "Died". WHERE Clause: Here, we filter results to include only rows from t1 that do not have an associated t2 record with a fate of "Died". Performance Optimization To ensure the query runs efficiently, it is recommended to use indexing. By indexing both the trackingChipNumber and fate columns in your table, you can significantly speed up the query execution time. Creating the Index Here’s an example of how to create the table with a suitable index: [[See Video to Reveal this Text or Code Snippet]] Checking Query Execution Plans Testing execution plans before and after indexing will give you insights into whether your query is optimized effectively. Before Adding Index: The query might scan all data twice in the main table, which is inefficient. After Adding Index: The indexed query should utilize the index for quicker access to data, preventing unnecessary full-table scans. Conclusion By implementing the right SQL join and filtering conditions, along with proper indexing, you can enhance your database querying efficiency when dealing with unique value selections in MySQL. This solution ensures that you can return only the records that are relevant and active, suitable for dynamic features like autocomplete searches. With this knowledge, you should be equipped to tackle similar challenges in your MySQL database management. If you have further questions or need clarification, feel free to reach out!