I have a table with the following format.
mysql> describe unit_characteristics;
+----------------------+------------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+----------------------+------------------+------+-----+---------+----------------+
| id | int(10) unsigned | NO | PRI | NULL | auto_increment |
| uut_id | int(10) unsigned | NO | PRI | NULL | |
| uut_sn | varchar(45) | NO | | NULL | |
| characteristic_name | varchar(80) | NO | PRI | NULL | |
| characteristic_value | text | NO | | NULL | |
| creation_time | datetime | NO | | NULL | |
| last_modified_time | datetime | NO | | NULL | |
+----------------------+------------------+------+-----+---------+----------------+
each uut_sn has multiple characteristic_name/value pairs. I want to use MySQL to generate a table
+----------------------+-------------+-------------+-------------+--------------+
| uut_sn | char_name_1 | char_name_2 | char_name_3 | char_name_4 | ... |
+----------------------+-------------+-------------+-------------+--------------+
| 00000 | char_val_1 | char_val_2 | char_val_3 | char_val_4 | ... |
| 00001 | char_val_1 | char_val_2 | char_val_3 | char_val_4 | ... |
| 00002 | char_val_1 | char_val_2 | char_val_3 | char_val_4 | ... |
| ..... | char_val_1 | char_val_2 | char_val_3 | char_val_4 | ... |
+----------------------+------------------+------+-----+---------+--------------+
Is this possible with just one query?
Thanks, -peter
This is a standard pivot query:
SELECT uc.uut_sn,
MAX(CASE
WHEN uc.characteristic_name = 'char_name_1' THEN uc.characteristic_value
ELSE NULL
END) AS char_name_1,
MAX(CASE
WHEN uc.characteristic_name = 'char_name_2' THEN uc.characteristic_value
ELSE NULL
END) AS char_name_2,
MAX(CASE
WHEN uc.characteristic_name = 'char_name_3' THEN uc.characteristic_value
ELSE NULL
END) AS char_name_3,
FROM unit_characteristics uc
GROUP BY uc.uut_sn
To make it dynamic, you need to use MySQL's dynamic SQL syntax called Prepared Statements. It requires two queries - the first gets a list of the characteristic_name
values, so you can concatenate the appropriate string into the CASE expressions like you see in my example as the ultimate query.