MySQL Dynamic Cross Tab
Problem:
You have a table containing data with multiple dimensions, and you want to create a cross-tabulated table (pivot table) dynamically without knowing the number of dimensions upfront.
Solution:
The number of columns for a pivot query must be defined at query preparation time. To achieve dynamic cross-tabulation, you have two options that involve writing application code:
Option 1: Query Distinct Values and Construct Dynamic SQL
- Query for distinct values in the dimension you want to pivot (e.g., "way").
- Create an array of SQL fragments representing the maximum time for each distinct dimension value.
- Join the SQL fragments into a single query string using commas.
- Execute the dynamic pivot query with the constructed SQL string.
Example:
<code class="php">foreach ($pdo->query("SELECT DISTINCT `way` FROM `MyTable`") as $row) { $way = (int) $row["way"]; $way_array[] = "MAX(IF(`way`=$way, `time`)) AS way_$way"; } $pivotsql = "SELECT stop, " . join(", ", $way_array) . "FROM `MyTable` GROUP BY `stop`";</code>
Option 2: Query and Post-Process Data Row by Row
- Query the data as is.
- Create an associative array using the first dimension value (e.g., "stop") as the key.
- Populate the array with subarrays containing the second dimension value (e.g., "way") as keys and time values as values.
- The resulting array will resemble the data from a pivot query.
Example:
<code class="php">$stoparray = array(); foreach ($pdo->query("SELECT * FROM `MyTable`") as $row) { $stopkey = $row["stop"]; if (!array_key_exists($stopkey, $stoparray)) { $stoparray[$stopkey] = array("stop"=>$stopkey); } $waykey = "way_" . $row["way"]; $stoparray[$stopkey][$waykey] = $row["time"]; }</code>
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