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FreeSql实现了强大功能的同时,性能没有受到影响,项目中使用反射或耗时的操作都经过了缓存处理。读取数据部分采用了ExpressionTree,使得FreeSql解析实体数据的速度与Dapper非常接近。
18W | 1W | 5K | 2K | 1K | 500 | 100 | 50 | |
---|---|---|---|---|---|---|---|---|
MySql 5.5 ExecuteAffrows | 38,481 | 2,234 | 1,136 | 284 | 239 | 167 | 66 | 30 |
MySql 5.5 ExecuteMySqlBulkCopy | 28,405 | 1,142 | 657 | 451 | 435 | 592 | 47 | 22 |
SqlServer Express ExecuteAffrows | 402,355 | 24,847 | 11,465 | 4,971 | 2,437 | 915 | 138 | 88 |
SqlServer Express ExecuteSqlBulkCopy | 21,065 | 578 | 326 | 139 | 105 | 79 | 60 | 48 |
PostgreSQL 10 ExecuteAffrows | 46,756 | 3,294 | 2,269 | 1,019 | 374 | 209 | 51 | 37 |
PostgreSQL 10 ExecutePgCopy | 10,090 | 583 | 337 | 136 | 88 | 61 | 30 | 25 |
Oracle XE ExecuteAffrows | - | - | - | - | 24,528 | 10,648 | 571 | 200 |
Sqlite ExecuteAffrows | 28,554 | 1,149 | 701 | 327 | 155 | 91 | 44 | 35 |
18W 解释:插入18万行记录,表格中的数字是执行时间(单位ms)
Oracle 插入性能不用怀疑,可能安装学生版限制较大
提醒:开源数据库测试结果比较有意义,商业数据库版本之间性能可能有较大差距
18W | 1W | 5K | 2K | 1K | 500 | 100 | 50 | |
---|---|---|---|---|---|---|---|---|
MySql 5.5 ExecuteAffrows | 11,171 | 866 | 366 | 80 | 83 | 50 | 24 | 34 |
MySql 5.5 ExecuteMySqlBulkCopy | 6,504 | 399 | 257 | 116 | 87 | 100 | 16 | 16 |
SqlServer Express ExecuteAffrows | 47,204 | 2,275 | 1,108 | 488 | 279 | 123 | 35 | 16 |
SqlServer Express ExecuteSqlBulkCopy | 4,248 | 127 | 71 | 30 | 48 | 14 | 11 | 10 |
PostgreSQL 10 ExecuteAffrows | 9,786 | 568 | 336 | 157 | 102 | 34 | 9 | 6 |
PostgreSQL 10 ExecutePgCopy | 4,081 | 167 | 93 | 39 | 21 | 12 | 4 | 2 |
Oracle XE ExecuteAffrows | - | - | - | - | 2,394 | 731 | 67 | 33 |
Sqlite ExecuteAffrows | 4,524 | 246 | 137 | 94 | 35 | 19 | 14 | 11 |
测试结果,是在相同操作系统下进行的,并且都有预热
ExecuteMySqlBulkCopy 方法在 FreeSql.Provider.MySqlConnector 中实现的
//测试实体类
public class TestInsert10c {
[Column(MapType = typeof(string))]
public Guid Id { get; set; }
public string UserName0 { get; set; }
public string PassWord0 { get; set; }
public DateTime CreateTime0 { get; set; }
public string UserName1 { get; set; }
public string PassWord1 { get; set; }
public DateTime CreateTime1 { get; set; }
public string UserName2 { get; set; }
public string PassWord2 { get; set; }
public DateTime CreateTime2 { get; set; }
}
//生成测试数据
IFreeSql orm = ...;
var testCount = 10000;
var t10cs = new List<TestInsert10c>();
for (var a = 0; a < testCount; a++) {
var item = new TestInsert10c();
for (var b = 0; b <= 2; b++)
{
orm.SetEntityValueWithPropertyName(typeof(TestInsert10c), item, "UserName" + b, Guid.NewGuid().ToString("N"));
orm.SetEntityValueWithPropertyName(typeof(TestInsert10c), item, "PassWord" + b, Guid.NewGuid().ToString("N"));
orm.SetEntityValueWithPropertyName(typeof(TestInsert10c), item, "CreateTime" + b, DateTime.Now);
}
t10cs.Add(item);
}
IFreeSql mysql = new FreeSql.FreeSqlBuilder()
.UseConnectionString(FreeSql.DataType.MySql, "Data Source=127.0.0.1;Port=3306;User ID=root;Password=root;Initial Catalog=cccddd;Charset=utf8;SslMode=none;Max pool size=100")
//由于null会默认输出日志到控制台,影响测试结果。这里传入一个空的日志输出对象
.UseAutoSyncStructure(false)
//关闭自动迁移功能
.Build(); //请务必定义成 Singleton 单例模式
class Song {
public int Id { get; set; }
public string Title { get; set; }
public string Url { get; set; }
public DateTime Create_time { get; set; }
public bool Is_deleted { get; set; }
}
测试方法:运行两次,以第二次性能报告,避免了首个运行慢不公平的情况。
数量 | Query<Class> | Query<Tuple> | Query<dynamic> | |
---|---|---|---|---|
Dapper.Query(sql) | 131072 | 623.4959ms | 424.2411ms | 644.8897ms |
FreeSql.Query(sql) | 131072 | 647.0552ms | 577.3532ms | 944.7454ms |
FreeSql.ToList | 131072 | 622.8980ms | 435.3532ms | - |
FreeSql以微小的性能差距输了,原因是支持了更多的类型,某些类型解析需要Parse、递归或循环处理。
由于Dapper没有批量插入/更新/删除的功能,并且都是执行一条SQL命令,测试结果没有意义。
FreeSql批量插入使用的命令:INSERT INTO Song (...) VALUES(...),VALUES(...),VALUES(...)...
[Fact]
public void QueryEntity() {
var sb = new StringBuilder();
var time = new Stopwatch();
time.Restart();
List<Song> dplist1 = null;
using (var conn = g.mysql.Ado.MasterPool.Get()) {
dplist1 = Dapper.SqlMapper.Query<Song>(conn.Value, "select * from song").ToList();
}
time.Stop();
sb.AppendLine($"Elapsed: {time.Elapsed}; Query Entity Counts: {dplist1.Count}; ORM: Dapper");
time.Restart();
var t3 = g.mysql.Ado.Query<Song>("select * from song");
time.Stop();
sb.AppendLine($"Elapsed: {time.Elapsed}; Query Entity Counts: {t3.Count}; ORM: FreeSql*");
}
[Fact]
public void QueryTuple() {
var sb = new StringBuilder();
var time = new Stopwatch();
time.Restart();
List<(int, string, string)> dplist2 = null;
using (var conn = g.mysql.Ado.MasterPool.Get()) {
dplist2 = Dapper.SqlMapper.Query<(int, string, string)>(conn.Value, "select * from song").ToList();
}
time.Stop();
sb.AppendLine($"Elapsed: {time.Elapsed}; Query Tuple Counts: {dplist2.Count}; ORM: Dapper");
time.Restart();
var t4 = g.mysql.Ado.Query<(int, string, string)>("select * from song");
time.Stop();
sb.AppendLine($"Elapsed: {time.Elapsed}; Query Tuple Counts: {t4.Count}; ORM: FreeSql*");
}
[Fact]
public void QueryDynamic() {
var sb = new StringBuilder();
var time = new Stopwatch();
time.Restart();
List<dynamic> dplist3 = null;
using (var conn = g.mysql.Ado.MasterPool.Get()) {
dplist3 = Dapper.SqlMapper.Query<dynamic>(conn.Value, "select * from song").ToList();
}
time.Stop();
sb.AppendLine($"Elapsed: {time.Elapsed}; Query Dynamic Counts: {dplist3.Count}; ORM: Dapper");
time.Restart();
var t5 = g.mysql.Ado.Query<dynamic>("select * from song");
time.Stop();
sb.AppendLine($"Elapsed: {time.Elapsed}; Query Dynamic Counts: {t3.Count}; ORM: FreeSql*");
}
[Fact]
public void QueryList() {
var sb = new StringBuilder();
var time = new Stopwatch();
time.Restart();
var t3 = g.mysql.Select<Song>().ToList();
time.Stop();
sb.AppendLine($"Elapsed: {time.Elapsed}; ToList Entity Counts: {t3.Count}; ORM: FreeSql*");
time.Restart();
List<Song> dplist1 = null;
using (var conn = g.mysql.Ado.MasterPool.Get()) {
dplist1 = Dapper.SqlMapper.Query<Song>(conn.Value, "select * from song").ToList();
}
time.Stop();
sb.AppendLine($"Elapsed: {time.Elapsed}; Query Entity Counts: {dplist1.Count}; ORM: Dapper");
}
更多测试源码:FreeSql/FreeSql.Tests.PerformanceTests/MySqlAdoTest.cs