I am using MySQL version 5.5.14 to run the following query, QUERY 1, from a table of 5 Million rows:
SELECT P.ID, P.Type, P.Name, P.cty
, X(P.latlng) as 'lat', Y(P.latlng) as 'lng'
, P.cur, P.ak, P.tn, P.St, P.Tm, P.flA, P.ldA, P.flN
, P.lv, P.bd, P.bt, P.nb
, P.ak * E.usD as 'usP'
FROM PIG P
INNER JOIN EEL E
ON E.cur = P.cur
WHERE act='1'
AND flA >= '1615'
AND ldA >= '0'
AND yr >= (YEAR(NOW()) - 100)
AND lv >= '0'
AND bd >= '3'
AND bt >= '2'
AND nb <= '5'
AND cDate >= NOW()
AND MBRContains(LineString( Point(39.9097, -2.1973)
, Point(65.5130, 41.7480)
), latlng)
AND Type = 'g'
AND tn = 'l'
AND St + Tm - YEAR(NOW()) >= '30'
HAVING usP BETWEEN 300/2 AND 300
ORDER BY ak
LIMIT 100;
Using an Index (Type, tn, act, flA), I am able to obtain results within 800ms. In QUERY 2, I changed the ORDER BY
clause to lv
, I am also able to obtain results within similar timings. In QUERY 3, I changed the ORDER BY
clause to ID
and the query time slowed dramatically to a full 20s on an average of 10 trials.
Running the EXPLAIN SELECT
statement produces exactly the same query execution plan:
*************************** 1. row ***************************
id: 1
select_type: SIMPLE
table: P
type: range
possible_keys: Index
key: Index
key_len: 6
ref: NULL
rows: 132478
Extra: Using where; Using filesort
*************************** 2. row ***************************
id: 1
select_type: SIMPLE
table: E
type: eq_ref
possible_keys: PRIMARY
key: PRIMARY
key_len: 3
ref: BS.P.cur
rows: 1
Extra:
My question is: why does ordering by ID in QUERY 3 runs so slow compared to the rest?
The partial table definition is as such:
CREATE TABLE `PIG` (
`ID` int(10) unsigned NOT NULL AUTO_INCREMENT,
`lv` smallint(3) unsigned NOT NULL DEFAULT '0',
`ak` int(10) unsigned NOT NULL DEFAULT '0',
PRIMARY KEY (`ID`),
KEY `id_ca` (`cty`,`ak`),
KEY `Index` (`Type`, `tn`, `act`, `flA`),
) ENGINE=MyISAM AUTO_INCREMENT=5000001 DEFAULT CHARSET=latin1
CREATE TABLE `EEL` (
`cur` char(3) NOT NULL,
`usD` decimal(11,10) NOT NULL,
PRIMARY KEY (`cur`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1
UPDATE: After extensive testing of various ORDER BY
s options, I have confirmed that the ID column which happens to be the Primary Key is the only one causing the slow query time.