Saya googling, belajar sendiri & mencari solusi selama berjam-jam tetapi tidak berhasil. Saya menemukan beberapa pertanyaan serupa di sini tetapi tidak dalam kasus ini.
Meja saya:
- orang (~ baris 10M)
- atribut (lokasi, umur, ...)
- tautan (M: M) antara orang dan atribut (~ baris 40M)
Situasi:
Saya mencoba untuk memilih id semua orang ( person_id
) dari beberapa lokasi ( location.attribute_value BETWEEN 3000 AND 7000
), menjadi beberapa jenis kelamin ( gender.attribute_value = 1
), lahir dalam beberapa tahun ( bornyear.attribute_value BETWEEN 1980 AND 2000
) dan memiliki warna mata ( eyecolor.attribute_value IN (2,3)
).
Ini adalah penyihir kueri saya memakan waktu 3 ~ 4 mnt. dan saya ingin mengoptimalkan:
SELECT person_id
FROM person
LEFT JOIN attribute location ON location.attribute_type_id = 1 AND location.person_id = person.person_id
LEFT JOIN attribute gender ON gender.attribute_type_id = 2 AND gender.person_id = person.person_id
LEFT JOIN attribute bornyear ON bornyear.attribute_type_id = 3 AND bornyear.person_id = person.person_id
LEFT JOIN attribute eyecolor ON eyecolor.attribute_type_id = 4 AND eyecolor.person_id = person.person_id
WHERE 1
AND location.attribute_value BETWEEN 3000 AND 7000
AND gender.attribute_value = 1
AND bornyear.attribute_value BETWEEN 1980 AND 2000
AND eyecolor.attribute_value IN (2,3)
LIMIT 100000;
Hasil:
+-----------+
| person_id |
+-----------+
| 233 |
| 605 |
| ... |
| 8702599 |
| 8703617 |
+-----------+
100000 rows in set (3 min 42.77 sec)
Jelaskan diperpanjang:
+----+-------------+----------+--------+---------------------------------------------+-----------------+---------+--------------------------+---------+----------+--------------------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+----------+--------+---------------------------------------------+-----------------+---------+--------------------------+---------+----------+--------------------------+
| 1 | SIMPLE | bornyear | range | attribute_type_id,attribute_value,person_id | attribute_value | 5 | NULL | 1265229 | 100.00 | Using where |
| 1 | SIMPLE | location | ref | attribute_type_id,attribute_value,person_id | person_id | 5 | test1.bornyear.person_id | 4 | 100.00 | Using where |
| 1 | SIMPLE | eyecolor | ref | attribute_type_id,attribute_value,person_id | person_id | 5 | test1.bornyear.person_id | 4 | 100.00 | Using where |
| 1 | SIMPLE | gender | ref | attribute_type_id,attribute_value,person_id | person_id | 5 | test1.eyecolor.person_id | 4 | 100.00 | Using where |
| 1 | SIMPLE | person | eq_ref | PRIMARY | PRIMARY | 4 | test1.location.person_id | 1 | 100.00 | Using where; Using index |
+----+-------------+----------+--------+---------------------------------------------+-----------------+---------+--------------------------+---------+----------+--------------------------+
5 rows in set, 1 warning (0.02 sec)
Pembuatan profil:
+------------------------------+-----------+
| Status | Duration |
+------------------------------+-----------+
| Sending data | 3.069452 |
| Waiting for query cache lock | 0.000017 |
| Sending data | 2.968915 |
| Waiting for query cache lock | 0.000019 |
| Sending data | 3.042468 |
| Waiting for query cache lock | 0.000043 |
| Sending data | 3.264984 |
| Waiting for query cache lock | 0.000017 |
| Sending data | 2.823919 |
| Waiting for query cache lock | 0.000038 |
| Sending data | 2.863903 |
| Waiting for query cache lock | 0.000014 |
| Sending data | 2.971079 |
| Waiting for query cache lock | 0.000020 |
| Sending data | 3.053197 |
| Waiting for query cache lock | 0.000087 |
| Sending data | 3.099053 |
| Waiting for query cache lock | 0.000035 |
| Sending data | 3.064186 |
| Waiting for query cache lock | 0.000017 |
| Sending data | 2.939404 |
| Waiting for query cache lock | 0.000018 |
| Sending data | 3.440288 |
| Waiting for query cache lock | 0.000086 |
| Sending data | 3.115798 |
| Waiting for query cache lock | 0.000068 |
| Sending data | 3.075427 |
| Waiting for query cache lock | 0.000072 |
| Sending data | 3.658319 |
| Waiting for query cache lock | 0.000061 |
| Sending data | 3.335427 |
| Waiting for query cache lock | 0.000049 |
| Sending data | 3.319430 |
| Waiting for query cache lock | 0.000061 |
| Sending data | 3.496563 |
| Waiting for query cache lock | 0.000029 |
| Sending data | 3.017041 |
| Waiting for query cache lock | 0.000032 |
| Sending data | 3.132841 |
| Waiting for query cache lock | 0.000050 |
| Sending data | 2.901310 |
| Waiting for query cache lock | 0.000016 |
| Sending data | 3.107269 |
| Waiting for query cache lock | 0.000062 |
| Sending data | 2.937373 |
| Waiting for query cache lock | 0.000016 |
| Sending data | 3.097082 |
| Waiting for query cache lock | 0.000261 |
| Sending data | 3.026108 |
| Waiting for query cache lock | 0.000026 |
| Sending data | 3.089760 |
| Waiting for query cache lock | 0.000041 |
| Sending data | 3.012763 |
| Waiting for query cache lock | 0.000021 |
| Sending data | 3.069694 |
| Waiting for query cache lock | 0.000046 |
| Sending data | 3.591908 |
| Waiting for query cache lock | 0.000060 |
| Sending data | 3.526693 |
| Waiting for query cache lock | 0.000076 |
| Sending data | 3.772659 |
| Waiting for query cache lock | 0.000069 |
| Sending data | 3.346089 |
| Waiting for query cache lock | 0.000245 |
| Sending data | 3.300460 |
| Waiting for query cache lock | 0.000019 |
| Sending data | 3.135361 |
| Waiting for query cache lock | 0.000021 |
| Sending data | 2.909447 |
| Waiting for query cache lock | 0.000039 |
| Sending data | 3.337561 |
| Waiting for query cache lock | 0.000140 |
| Sending data | 3.138180 |
| Waiting for query cache lock | 0.000090 |
| Sending data | 3.060687 |
| Waiting for query cache lock | 0.000085 |
| Sending data | 2.938677 |
| Waiting for query cache lock | 0.000041 |
| Sending data | 2.977974 |
| Waiting for query cache lock | 0.000872 |
| Sending data | 2.918640 |
| Waiting for query cache lock | 0.000036 |
| Sending data | 2.975842 |
| Waiting for query cache lock | 0.000051 |
| Sending data | 2.918988 |
| Waiting for query cache lock | 0.000021 |
| Sending data | 2.943810 |
| Waiting for query cache lock | 0.000061 |
| Sending data | 3.330211 |
| Waiting for query cache lock | 0.000025 |
| Sending data | 3.411236 |
| Waiting for query cache lock | 0.000023 |
| Sending data | 23.339035 |
| end | 0.000807 |
| query end | 0.000023 |
| closing tables | 0.000325 |
| freeing items | 0.001217 |
| logging slow query | 0.000007 |
| logging slow query | 0.000011 |
| cleaning up | 0.000104 |
+------------------------------+-----------+
100 rows in set (0.00 sec)
Struktur tabel:
CREATE TABLE `attribute` (
`attribute_id` int(11) unsigned NOT NULL AUTO_INCREMENT,
`attribute_type_id` int(11) unsigned DEFAULT NULL,
`attribute_value` int(6) DEFAULT NULL,
`person_id` int(11) unsigned DEFAULT NULL,
PRIMARY KEY (`attribute_id`),
KEY `attribute_type_id` (`attribute_type_id`),
KEY `attribute_value` (`attribute_value`),
KEY `person_id` (`person_id`)
) ENGINE=MyISAM AUTO_INCREMENT=40000001 DEFAULT CHARSET=utf8;
CREATE TABLE `person` (
`person_id` int(11) unsigned NOT NULL AUTO_INCREMENT,
`person_name` text CHARACTER SET latin1,
PRIMARY KEY (`person_id`)
) ENGINE=MyISAM AUTO_INCREMENT=20000001 DEFAULT CHARSET=utf8;
Permintaan telah dilakukan pada server virtual DigitalOcean dengan SSD dan RAM 1GB.
Saya berasumsi mungkin ada masalah dengan desain database. Apakah Anda punya saran untuk merancang situasi ini dengan lebih baik? Atau hanya untuk menyesuaikan pilih di atas?
(attribute_type_id, attribute_value, person_id)
dan (attribute_type_id, person_id, attribute_value)
attribute (person_id, attribute_type_id, attribute_value)