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In statistical analysis and data interpretation, determining the median of a data set is crucial. While MySQL provides the convenient AVG() function to calculate the average, finding the median requires a different approach. This article provides a simplified solution for calculating the median using a single MySQL query.
MySQL provides a more efficient way than sorting and selecting rows in PHP:
<code class="language-sql">SELECT AVG(dd.val) as median_val FROM ( SELECT d.val, @rownum:=@rownum+1 as `row_number`, @total_rows:=@rownum FROM data d, (SELECT @rownum:=0) r WHERE d.val is NOT NULL -- (在此处添加任何where子句) ORDER BY d.val ) as dd WHERE dd.row_number IN ( FLOOR((@total_rows+1)/2), FLOOR((@total_rows+2)/2) )</code>
Code interpretation:
An optimized version of this query uses row count operations to avoid a second pass or join:
<code class="language-sql">SELECT AVG(dd.val) as median_val FROM ( SELECT d.val, (@rownum:=@rownum+1) as `row_number` -- 性能优化 FROM data d, (SELECT @rownum:=0) r WHERE d.val is NOT NULL -- (添加where子句) ORDER BY d.val ) as dd WHERE dd.row_number IN ( FLOOR((@rownum)/2), FLOOR((@rownum)/2)+1 ) -- 或 FLOOR((@rownum)/2), FLOOR((@rownum)/2)+1 )</code>
MariaDB version 10.3.3 includes built-in MEDIAN function:
<code class="language-sql">SELECT MEDIAN(val) AS median_val FROM data</code>
Together, these methods provide a straightforward and efficient solution for calculating the median in MySQL, allowing developers to easily extract meaningful insights from the data.
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