Challenge
: Search the data in the MySQL table in a perspective form formula, and convert the row into a column.Question :
Given a table containing hostid, itemname, and the itemValue column, please press the results as shown below:
Solution:
hostid | A | B | C |
---|---|---|---|
1 | 10 | 3 | 0 |
2 | 9 | 0 | 40 |
OK will provide columns that will provide Y values and x values (itemname).
Step 2: Extend the basic table
Create additional columns for each unique X value.
Step 3: Grouping and aggregation
Groupid (hostid) and aggregate the extension table.
CREATE VIEW history_extended AS SELECT history.*, CASE WHEN itemname = "A" THEN itemvalue END AS A, CASE WHEN itemname = "B" THEN itemvalue END AS B, CASE WHEN itemname = "C" THEN itemvalue END AS C FROM history;Step 4: Beautify (optional)
Replace the NULL value to zero to obtain a clearer appearance.
Precautions and restrictions
CREATE VIEW history_itemvalue_pivot AS SELECT hostid, SUM(A) AS A, SUM(B) AS B, SUM(C) AS C FROM history_extended GROUP BY hostid;:
The values used in the extension column and the default value of missing values can be customized.
You can adjust the polymerization function (for example, MAX).
CREATE VIEW history_itemvalue_pivot_pretty AS SELECT hostid, COALESCE(A, 0) AS A, COALESCE(B, 0) AS B, COALESCE(C, 0) AS C FROM history_itemvalue_pivot;If you use multiple columns as a Y value or a large number of perspective columns are required, this solution may not be applicable.
The above is the detailed content of How to Pivot a MySQL Table: Transforming Rows into Columns?. For more information, please follow other related articles on the PHP Chinese website!

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