今天测试一下 1 亿条数据,MySQL 和 PostgreSQL 的性能表现

今天测试一下 1 亿条数据,MySQL 和 PostgreSQL 的性能表现 。说明下 , 只是做一些基本的测试,并没有用一些数据库 Benchmark 工具进行测试 。
准备建表语句:
CREATE TABLE user_mysql / user_postgresql (id SERIAL PRIMARY KEY,username VARCHAR(50),emAIl VARCHAR(100),password VARCHAR(100),first_name VARCHAR(50),last_name VARCHAR(50),address VARCHAR(200),city VARCHAR(50),state VARCHAR(50),zip_code VARCHAR(10),country VARCHAR(50),phone_number VARCHAR(50),date_of_birth DATE,gender VARCHAR(10),occupation VARCHAR(100),education_level VARCHAR(50),registration_date TIMESTAMP,last_login TIMESTAMP,is_active BOOLEAN,is_admin BOOLEAN,additional_field1 VARCHAR(100),additional_field2 VARCHAR(100));接下来记录一下相关数据 。
1.插入耗时

  • MySQL:≈ 67分钟
  • PostgreSQL:≈ 55分钟
2.count(*)耗时【今天测试一下 1 亿条数据,MySQL 和 PostgreSQL 的性能表现】MySQL:45 s 877 ms,明细如下:
mydatabase> select count(*) from user_mysql[2023-09-26 22:22:24] 1 row retrieved starting from 1 in 45 s 877 ms (execution: 45 s 767 ms, fetching: 110 ms)PostgreSQL:8 s 169 ms , 明细如下:
postgres.public> select count(*) from user_postgresql[2023-09-26 22:24:08] 1 row retrieved starting from 1 in 8 s 169 ms (execution: 8 s 133 ms, fetching: 36 ms)
今天测试一下 1 亿条数据,MySQL 和 PostgreSQL 的性能表现

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1亿数据量
3.根据主键查询数据MySQL:47 ms , 明细如下:
mydatabase> select * from user_mysql where id = 19279833[2023-09-26 22:28:10] 1 row retrieved starting from 1 in 47 ms (execution: 16 ms, fetching: 31 ms)PostgreSQL:46 ms,明细如下:
postgres.public> select * from user_postgresql where id = 19279833[2023-09-26 22:29:51] 1 row retrieved starting from 1 in 46 ms (execution: 15 ms, fetching: 31 ms)4.根据username查询(无索引)MySQL:1 m 56 s 986 ms,明细如下:
// 查询第99279833行数据mydatabase> select * from user_mysql where username = '10190439674'[2023-09-26 22:36:09] 1 row retrieved starting from 1 in 1 m 56 s 986 ms (execution: 1 m 56 s 939 ms, fetching: 47 ms)PostgreSQL:38 s 73 ms,明细如下:
// 同样查询第99279833行数据postgres.public> select * from user_postgresql where username = '14998727834'[2023-09-26 22:38:25] 1 row retrieved starting from 1 in 38 s 73 ms (execution: 38 s 18 ms, fetching: 55 ms)5.创建索引耗时MySQL创建B+TREE索引:5 m 31 s 276 ms,明细如下:
mydatabase> ALTER TABLE user_mysql ADD INDEX idx_name (username)[2023-09-26 22:47:37] completed in 5 m 31 s 276 msPostgreSQL创建B-TREE索引:9 m 20 s 847 ms,明细如下:
postgres.public> CREATE INDEX idx_name ON user_postgresql (username)[2023-09-26 22:57:59] completed in 9 m 20 s 847 ms6.根据username查询(有索引)MySQL:93 ms,明细如下:
// 查询第99279833行数据mydatabase> select * from user_mysql where username = '10190439674'[2023-09-26 23:01:48] 1 row retrieved starting from 1 in 93 ms (execution: 0 ms, fetching: 93 ms)PostgreSQL:63 ms,明细如下:
// 同样查询第99279833行数据postgres.public> select * from user_postgresql where username = '14998727834'[2023-09-26 23:00:07] 1 row retrieved starting from 1 in 63 ms (execution: 0 ms, fetching: 63 ms)7.根据username修改(有索引)MySQL:16 ms,明细如下:
mydatabase> update user_mysql set email='myemail' where username = '10190439674'[2023-09-26 23:06:05] 1 row affected in 16 msPostgreSQL:15 ms , 明细如下:
postgres.public> update user_postgresql set email='myemail' where username = '14998727834'[2023-09-26 23:07:13] 1 row affected in 15 ms8.分页查询(不加条件)MySQL:1 m 40 s 265 ms , 明细如下:
mydatabase> select * from user_mysql limit 89999980, 20[2023-09-26 23:10:54] 20 rows retrieved starting from 1 in 1 m 40 s 265 ms (execution: 1 m 40 s 234 ms, fetching: 31 ms)PostgreSQL:27 s 750 ms,明细如下:
postgres.public> select * from user_postgresql limit 20 offset 89999980[2023-09-26 23:12:32] 20 rows retrieved starting from 1 in 27 s 750 ms (execution: 27 s 688 ms, fetching: 62 ms)9.分页查询(加条件 , 条件为索引)MySQL:94 ms,明细如下:
mydatabase> select * from user_mysql where id >= 89999980 limit 20[2023-09-26 23:13:34] 20 rows retrieved starting from 1 in 94 ms (execution: 0 ms, fetching: 94 ms)PostgreSQL:78 ms,明细如下:


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