I'm working with a 3rd party MYSQL database over which I have no control except I can read from it. It contains 51 tables with identical column structure but slightly different names. They hold daily summaries for a different data source. Example Table:
CREATE TABLE `archive_day_?????` (
  `dateTime` int(11) NOT NULL,
  `min` double DEFAULT NULL,
  `mintime` int(11) DEFAULT NULL,
  `max` double DEFAULT NULL,
  `maxtime` int(11) DEFAULT NULL,
  `sum` double DEFAULT NULL,
  `count` int(11) DEFAULT NULL,
  `wsum` double DEFAULT NULL,
  `sumtime` int(11) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
where ????? changes to indicate the type of data held.
The dateTime field is mirrored across all tables being midnight of every day since the system has been running.
I want to produce a single data set across all tables using an inner join on the dateTime. But to avoid writing
SELECT ad1.maxtime as ad1_maxtime, ad2.maxtime as ad2_maxtime... 
51 times for 9 fields is there a way I can bulk create aliases e.g
ad1.* as ad_*, ad2.* as ad_* and so on.
I have looked at Create Aliases In Bulk? but this doesn't seem to work for MySQL. Ultimatly the data is being used by a Django ORM.
EDIT: Unfortunately Union doesn't uniquely identify the fields or group them together e.g.
SELECT * FROM `archive_day_ET` UNION ALL SELECT * FROM `archive_day_inTemp`
results in:

 
    