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移动端 orm 框架性能测评
flutter_orm_plugin 发布以来,不少团队试用了,我发现大家对这类数据库相关的库,第一反应就是性能如何,之前确实没做太多行业对比,最近觉得还是有必要做一下性能测试,给大家一个交代的。
在 ios 端,业界比较常用的 orm 框架应该是苹果官方推出的 coredata,还有就是 realm 了。在 android 端 orm 框架我挑了三个比较常用的,greendao,realm 和 activeandroid。我会用 flutter_orm_plugin 跟上面提到的 ios 和 android 端 orm 框架做对比。下面我会分别给出测试用例,测试代码,还有最终数据比较的结果。
测试用例
测试用例我列了以下这些
- 10000 次插入数据
- 使用批量接口 10000 次插入数据
- 10000 次读取数据
- 10000 次修改数据
- 使用批量接口 10000 次修改数据
- 10000 次删除数据
- 使用批量接口 10000 次删除数据
为什么会有普通插入数据和使用批量接口插入数据的区别,大部分 orm 框架都会对批量操作有一定的优化,所以需要对批量操作进行测试,但是在平时使用,不一定都能用上批量接口(例如多次数据操作不在同一代码块,或者在不同的模块中都要操作数据),所以我们会分别对普通操作和批量操作进行测试。
android 测试代码
首先我们给出 flutter_orm_plugin 的测试代码,由于不想因为 flutter 和原生 channel 通讯产生误差,我们直接用 Luakit 来写 lua 代码做测试(greendao、realm、activeandroid、coredata 都不涉及 flutter 和原生 channel 通讯),flutter_orm_plugin 其实底层就是 luakit 的 orm 框架,这个不影响测试准确性。
循环插入
Luakit 定义 orm 模型结构并做 10000 次插入,下面的代码是 ios 和 android 通用的。
local Student = {
__dbname__ = "test.db",
__tablename__ = "Student",
studentId = {"TextField",{primary_key = true}},
name = {"TextField",{}},
claName = {"TextField",{}},
teacherName = {"TextField",{}},
score = {"RealField",{}},
}
local params = {
name = "Student",
args = Student,
}
Table.addTableInfo(params,function ()
local studentTable = Table("Student”)
for i=1,10000 do
local s = {
studentId = "studentId"..i,
name = "name"..i,
claName = "claName"..i,
teacherName = "teacherName"..i,
score = 90,
}
studentTable(s):save()
end
end)
activeandroid 定义 orm 模型结构并做 10000 次插入
@Table(name = "Students")
public class Student extends Base {@Column(name = "studentId")
public String studentId;
@Column(name = "name")
public String name;
@Column(name = "claName")
public String claName;
@Column(name = "teacherName")
public String teacherName;
@Column(name = "score")
public float score;
public Student() {super();
}
@Override
public String toString() {return this.studentId;}
}
for (int i=0 ; i<10000 ;i++) {ActiveAndroid.beginTransaction();
Student s = new Student();
s.studentId = "studentId"+i;
s.name = "name"+i;
s.teacherName = "teacherName"+i;
s.claName = "claName"+i;
s.score = 90;
s.save();
ActiveAndroid.setTransactionSuccessful();
ActiveAndroid.endTransaction();}
realm android 定义 orm 模型结构并做 10000 次插入
public class StudentRealm extends RealmObject {
@PrimaryKey
private String studentId;
@Required
private String name;
@Required
private String teacherName;
@Required
private String claName;
private float score;
public String getName() {return name;}
public void setName(String name) {this.name = name;}
public String getClaName() {return claName;}
public void setClaName(String ClaName) {this.claName = claName;}
public String getTeacherName() {return teacherName;}
public void setTeacherName(String teacherName) {this.teacherName = teacherName;}
public String getStudentId() {return studentId;}
public void setStudentId(String id) {this.studentId = id;}
public float getScore() {return score;}
public void setScore(float score) {this.score = score;}
}
for (int i=0 ; i<10000 ;i++) {realm.beginTransaction();
StudentRealm realmStudent = realm.createObject(StudentRealm.class,"studentId"+i);
realmStudent.setName("name"+i);
realmStudent.setTeacherName("setTeacherName"+i);
realmStudent.setClaName("setClaName"+i);
realmStudent.setScore(90);
realm.commitTransaction();}
GreenDao 定义 orm 模型结构并做 10000 次插入
@Entity()
public class Student {
@Id
private String studentId;
@NotNull
private String name;
private String claName;
private String teacherName;
private float score;
@Generated(hash = 1491230551)
public Student(String studentId, @NotNull String name, String claName, String teacherName,
float score) {
this.studentId = studentId;
this.name = name;
this.claName = claName;
this.teacherName = teacherName;
this.score = score;
}
@Generated(hash = 1556870573)
public Student() {}
public String getStudentId() {return studentId;}
public void setStudentId(String studentId) {this.studentId = studentId;}
@NotNull
public String getName() {return name;}
/** Not-null value; ensure this value is available before it is saved to the database. */
public void setName(@NotNull String name) {this.name = name;}
public String getClaName() {return claName;}
public void setClaName(String claName) {this.claName = claName;}
public String getTeacherName() {return teacherName;}
public void setTeacherName(String teacherName) {this.teacherName = teacherName;}
public float getScore() {return score;}
public void setScore(float score) {this.score = score;}
}
DaoSession daoSession = ((App) getApplication()).getDaoSession();
StudentDao sd = daoSession.getStudentDao();
for (int i = 0; i < 10000; i++) {Student s = new Student();
s.setStudentId("StudentId"+i);
s.setClaName("getClaName"+i);
s.setScore(90);
s.setName("name"+i);
s.setTeacherName("tn"+i);
sd.insertOrReplace(s);
}
批量插入
Luakit 没有提供批量插入接口。
active android 批量插入 10000 条数据。
ActiveAndroid.beginTransaction();
for (int i=0 ; i<10000 ;i++) {Student s = new Student();
s.studentId = "studentId"+i;
s.name = "name"+i;
s.teacherName = "teacherName"+i;
s.claName = "claName"+i;
s.score = 90;
s.save();}
ActiveAndroid.setTransactionSuccessful();
ActiveAndroid.endTransaction();
realm android 批量插入 10000 条数据。
Realm realm = Realm.getDefaultInstance();
realm.beginTransaction();
for (int i=0 ; i<10000 ;i++) {StudentRealm realmStudent = realm.createObject(StudentRealm.class,"studentId"+i);
realmStudent.setName("name"+i);
realmStudent.setTeacherName("setTeacherName"+i);
realmStudent.setClaName("setClaName"+i);
realmStudent.setScore(90);
}
realm.commitTransaction();
GreenDao 批量插入 10000 条数据
DaoSession daoSession = ((App) getApplication()).getDaoSession();
StudentDao sd = daoSession.getStudentDao();
ArrayList<Student> ss = new ArrayList<Student>();
for (int i = 0; i < 10000; i++) {Student s = new Student();
s.setStudentId("StudentId"+i);
s.setClaName("getClaName"+i);
s.setScore(90);
s.setName("name"+i);
s.setTeacherName("tn"+i);
ss.add(s);
}
sd.insertOrReplaceInTx(ss);
数据查询
Luakit 做 10000 次查询,下面的代码是 ios 和 android 通用的。
local studentTable = Table("Student")
for i=1,10000 do
local result = studentTable.get:where({"studentId"..i},"studentId = ?"):all()
end
active android 做 10000 次查询。
for (int i=0 ; i<10000 ;i++) {List<Student> student = new Select()
.from(Student.class)
.where("studentId = ?", "studentId"+i)
.execute();}
realm android 做 10000 次查询。
for (int i=0 ; i<10000 ;i++) {RealmResults<StudentRealm> students = realm.where(StudentRealm.class).equalTo("studentId", "studentId"+i).findAll();
List<StudentRealm> list = realm.copyFromRealm(students);
}
GreenDao 做 10000 次查询
DaoSession daoSession = ((App) getApplication()).getDaoSession();
StudentDao sd = daoSession.getStudentDao();
for (int i = 0; i < 10000; i++) {List<Student> s = sd.queryBuilder()
.where(StudentDao.Properties.StudentId.eq("StudentId"+i))
.list();}
循环更新
Luakit 做 10000 次更新。
local studentTable = Table("Student")
for i=1,10000 do
local result = studentTable.get:where({"studentId"..i},"studentId = ?"):update({name = "name2”})
end
active android 做 10000 次更新。
for (int i=0 ; i<10000 ;i++) {ActiveAndroid.beginTransaction();
Update update = new Update(Student.class);
update.set("name = ?","name2")
.where("studentId = ?", "studentId"+i)
.execute();
ActiveAndroid.setTransactionSuccessful();
ActiveAndroid.endTransaction();}
realm android 做 10000 次更新。
for (int i=0 ; i<10000 ;i++) {realm.beginTransaction();
StudentRealm student = realm.where(StudentRealm.class).equalTo("studentId", "studentId"+i).findFirst();
student.setClaName("ClaName"+(i+1));
realm.copyToRealmOrUpdate(student);
realm.commitTransaction();}
GreenDao 做 10000 次更新。
for (int i = 0; i < 10000; i++) {List<Student> s = sd.queryBuilder()
.where(StudentDao.Properties.StudentId.eq("StudentId"+i))
.list();
s.get(0).setName("name2");
sd.update(s.get(0));
}
批量更新
Luakit 没有批量更新接口。
active android 批量更新 10000 条数据。
ActiveAndroid.beginTransaction();
for (int i=0 ; i<10000 ;i++) {Update update = new Update(Student.class);
update.set("name = ?","name2")
.where("studentId = ?", "studentId"+i)
.execute();}
ActiveAndroid.setTransactionSuccessful();
ActiveAndroid.endTransaction();
realm android 批量更新 10000 条数据。
realm.beginTransaction();
for (int i=0 ; i<10000 ;i++) {StudentRealm student = realm.where(StudentRealm.class).equalTo("studentId", "studentId"+i).findFirst();
student.setClaName("ClaName"+(i+1));
realm.copyToRealmOrUpdate(student);
}
realm.commitTransaction();
GreenDao 批量更新 10000 条数据
ArrayList<Student> ss = new ArrayList<Student>();
for (int i = 0; i < 10000; i++) {List<Student> s = sd.queryBuilder()
.where(StudentDao.Properties.StudentId.eq("StudentId"+i))
.list();
s.get(0).setName("name2");
ss.add(s.get(0));
}
sd.updateInTx(ss);
循环删除
Luakit 做 10000 次删除操作。
local studentTable = Table("Student")
for i=1,10000 do
studentTable.get:where({"studentId"..i},"studentId = ?"):delete()
end
active android 做 10000 次删除操作。
for (int i=0 ; i<10000 ;i++) {ActiveAndroid.beginTransaction();
new Delete().from(Student.class).where("studentId = ?", "studentId"+i).execute();
ActiveAndroid.setTransactionSuccessful();
ActiveAndroid.endTransaction();}
realm android 做 10000 次删除操作。
for (int i=0 ; i<10000 ;i++) {realm.beginTransaction();
StudentRealm student = realm.where(StudentRealm.class).equalTo("studentId", "studentId"+i).findFirst();
student.deleteFromRealm();
realm.commitTransaction();}
GreenDao 做 10000 次删除操作。
for (int i = 0; i < 10000; i++) {List<Student> s = sd.queryBuilder()
.where(StudentDao.Properties.StudentId.eq("StudentId"+i))
.list();
s.get(0).setName("name2");
sd.delete(s.get(0));
}
批量删除
Luakit 没有批量删除接口。
active android 批量删除 10000 条数据。
ActiveAndroid.beginTransaction();
for (int i=0 ; i<10000 ;i++) {new Delete().from(Student.class).where("studentId = ?", "studentId"+i).execute();}
ActiveAndroid.setTransactionSuccessful();
ActiveAndroid.endTransaction();
realm android 批量删除 10000 条数据。
realm.beginTransaction();
for (int i=0 ; i<10000 ;i++) {StudentRealm student = realm.where(StudentRealm.class).equalTo("studentId", "studentId"+i).findFirst();
student.deleteFromRealm();}
realm.commitTransaction();
GreenDao 批量删除 10000 条数据。
ArrayList<Student> ss = new ArrayList<Student>();
for (int i = 0; i < 10000; i++) {List<Student> s = sd.queryBuilder()
.where(StudentDao.Properties.StudentId.eq("StudentId"+i))
.list();
ss.add(s.get(0));
}
sd.deleteInTx(ss);
android 测试结果及分析
下面给出测试结果,表格中所有数据的单位是秒,即做 10000 次操作需要的秒数。
- 可以看到,active android 各项性能都一般。
- 在使用批量接口的情况下 GreenDao 和 Realm 的性能比较好。
- 在使用批量接口的情况下 Realm 的性能尤其好,批量插入、查询、批量更改、批量删除都是 Realm 的性能最好,但是 Realm 的非批量接口性能较差,所有可以这样总结,如果代码高内聚,可以把数据操作代码入口都统一使用,Realm 性能是最好的,但这对代码质量、模块设计有要求,当操作数据的代码到处都有,不能使用批量接口时,Realm 的性能是不好的。
- Luakit 没有提供批量接口,但从图中可以看出,Luakit 的各项性能指标都是比较好的,而且对代码没有要求,即使操作数据的代码不内聚,也不会对性能有影响。
ios 测试代码
Luakit 是跨平台的,代码跟 android 一样,下面就不列了,只给出 Coredata 和 Realm ios
循环插入
Coredata 定义 orm 模型结构并做 10000 次插入
@interface Student (CoreDataProperties)
+ (NSFetchRequest<Student *> *)fetchRequest;
@property (nullable, nonatomic, copy) NSString *claName;
@property (nullable, nonatomic, copy) NSString *name;
@property (nonatomic) float score;
@property (nullable, nonatomic, copy) NSString *studentId;
@property (nullable, nonatomic, copy) NSString *teacherName;
@end
self.context = [[NSManagedObjectContext alloc] initWithConcurrencyType:NSMainQueueConcurrencyType];
for (int i=0; i<10000; i++) {Student *s = [NSEntityDescription insertNewObjectForEntityForName:@"Student" inManagedObjectContext:self.context];
s.studentId = [NSString stringWithFormat:@"studentId%d",i];
s.name = [NSString stringWithFormat:@"name%d",i];
s.teacherName = [NSString stringWithFormat:@"teacherName%d",i];
s.claName = [NSString stringWithFormat:@"claName%d",i];
s.score = 90;
NSError *error = nil;
[self.context save:&error];
}
Realm ios 定义 orm 模型结构并做 10000 次插入
@interface StudentRLM : RLMObject
@property NSString *studentId;
@property NSString *name;
@property NSString *teacherName;
@property NSString *claName;
@property float score;
@end
for (int i=0; i<10000; i++) {[realm beginWriteTransaction];
StudentRLM *s = [[StudentRLM alloc] init];
s.studentId = [NSString stringWithFormat:@"studentId%d",i];;
s.name = [NSString stringWithFormat:@"name%d",i];
s.teacherName = [NSString stringWithFormat:@"teacherName%d",i];
s.claName = [NSString stringWithFormat:@"claName%d",i];
s.score = 90;
[realm addOrUpdateObject:s];
[realm commitWriteTransaction];
[realm beginWriteTransaction];
}
批量插入
Coredata 批量插入 10000 条数据。
for (int i=0; i<10000; i++) {Student *s = [NSEntityDescription insertNewObjectForEntityForName:@"Student" inManagedObjectContext:self.context];
s.studentId = [NSString stringWithFormat:@"studentId%d",i];
s.name = [NSString stringWithFormat:@"name%d",i];
s.teacherName = [NSString stringWithFormat:@"teacherName%d",i];
s.claName = [NSString stringWithFormat:@"claName%d",i];
s.score = 90;
}
NSError *error = nil;
[self.context save:&error];
Realm ios 批量插入 10000 条数据。
[realm beginWriteTransaction];
for (int i=0; i<10000; i++) {StudentRLM *s = [[StudentRLM alloc] init];
s.studentId = [NSString stringWithFormat:@"studentId%d",i];;
s.name = [NSString stringWithFormat:@"name%d",i];
s.teacherName = [NSString stringWithFormat:@"teacherName%d",i];
s.claName = [NSString stringWithFormat:@"claName%d",i];
s.score = 90;
[realm addOrUpdateObject:s];
}
[realm commitWriteTransaction];
[realm beginWriteTransaction];
查询
Coredata 做 10000 次查询。
for (int i=0; i<10000; i++) {NSFetchRequest *request = [NSFetchRequest fetchRequestWithEntityName:@"Student"];
request.predicate = [NSPredicate predicateWithFormat:@"studentId ='studentId%d'"];
NSArray *objs = [self.context executeFetchRequest:request error:&error];
}
Realm ios 做 10000 次查询。
for (int i=0; i<10000; i++) {RLMResults *results = [StudentRLM objectsWhere: [NSString stringWithFormat:@"studentId ='studentId%d'",i]];
StudentRLM *s = results.firstObject;
}
循环更新
Coredata 做 10000 次更新。
for (int i=0; i<10000; i++) {NSBatchUpdateRequest *batchUpdateRequest = [[NSBatchUpdateRequest alloc] initWithEntityName:@"Student"];
batchUpdateRequest.predicate = [NSPredicate predicateWithFormat:@"studentId ='studentId%d'"];
batchUpdateRequest.propertiesToUpdate = @{@"name" : @"name2"};
batchUpdateRequest.resultType = NSUpdatedObjectsCountResultType;
NSBatchUpdateResult *batchResult = [self.context executeRequest:batchUpdateRequest error:&error];
NSError *error = nil;
[self.context save:&error];
}
Realm ios 做 10000 次更新。
for (int i=0; i<10000; i++) {[realm beginWriteTransaction];
RLMResults *results = [StudentRLM objectsWhere: [NSString stringWithFormat:@"studentId ='studentId%d'",i]];
NSLog(@"results %lu",(unsigned long)[results count]);
StudentRLM *s = results.firstObject;
[s setName:@"name"];
[realm addOrUpdateObject:s];
[realm commitWriteTransaction];
}
批量更新
Coredata 批量更新 10000 条数据。
for (int i=0; i<10000; i++) {NSBatchUpdateRequest *batchUpdateRequest = [[NSBatchUpdateRequest alloc] initWithEntityName:@"Student"];
batchUpdateRequest.predicate = [NSPredicate predicateWithFormat:@"studentId ='studentId%d'"];
batchUpdateRequest.propertiesToUpdate = @{@"name" : @"name2"};
batchUpdateRequest.resultType = NSUpdatedObjectsCountResultType;
NSBatchUpdateResult *batchResult = [self.context executeRequest:batchUpdateRequest error:&error];
}
NSError *error = nil;
[self.context save:&error];
Realm ios 批量更新 10000 条数据。
[realm beginWriteTransaction];
for (int i=0; i<10000; i++) {RLMResults *results = [StudentRLM objectsWhere: [NSString stringWithFormat:@"studentId ='studentId%d'",i]];
NSLog(@"results %lu",(unsigned long)[results count]);
StudentRLM *s = results.firstObject;
[s setName:@"name”];
[realm addOrUpdateObject:s];
}
[realm commitWriteTransaction];
循环删除
Coredata 做 10000 次删除操作。
for (int i=0; i<10000; i++) {NSFetchRequest *request = [NSFetchRequest fetchRequestWithEntityName:@"Student"];
request.predicate = [NSPredicate predicateWithFormat:@"studentId ='studentId%d'"];
NSBatchDeleteRequest *batchRequest = [[NSBatchDeleteRequest alloc] initWithFetchRequest:request];
batchRequest.resultType = NSUpdatedObjectsCountResultType;
NSBatchUpdateResult *batchResult = [self.context executeRequest:batchRequest error:&error];
NSError *error = nil;
[self.context save:&error];
}
Realm ios 做 10000 次删除操作。
for (int i=0; i<10000; i++) {[realm beginWriteTransaction];
RLMResults *results = [StudentRLM objectsWhere: [NSString stringWithFormat:@"studentId ='studentId%d'",i]];
StudentRLM *s = results.firstObject;
[s setName:@"name"];
[realm deleteObject:s];
[realm commitWriteTransaction];
}
批量删除
Coredata 批量删除 10000 条数据。
for (int i=0; i<10000; i++) {NSFetchRequest *request = [NSFetchRequest fetchRequestWithEntityName:@"Student"];
request.predicate = [NSPredicate predicateWithFormat:@"studentId ='studentId%d'"];
NSBatchDeleteRequest *batchRequest = [[NSBatchDeleteRequest alloc] initWithFetchRequest:request];
batchRequest.resultType = NSUpdatedObjectsCountResultType;
NSBatchUpdateResult *batchResult = [self.context executeRequest:batchRequest error:&error];
}
NSError *error = nil;
[self.context save:&error];
Realm ios 批量删除 10000 条数据。
[realm beginWriteTransaction];
for (int i=0; i<10000; i++) {RLMResults *results = [StudentRLM objectsWhere: [NSString stringWithFormat:@"studentId ='studentId%d'",i]];
StudentRLM *s = results.firstObject;
[s setName:@"name"];
[realm deleteObject:s];
}
[realm commitWriteTransaction];
ios 测试结果及分析
下面给出测试结果,表格中所有数据的单位是秒,即做 10000 次操作需要的秒数。
- 可以看到,Coredata 除了批量插入性能是最好的以外,其他项性能都一般。
- Realm ios 和 Realm android 性能非常相似,批量操作性能优异,但是非批量操作性能一般。可以这样总结,如果代码高内聚,可以把数据操作代码入口都统一使用,Realm 性能是最好的,但这对代码质量、模块设计有要求,当操作数据的代码到处都有,不能使用批量接口时,Realm 的性能是不好的。
- Luakit 没有提供批量接口,但从图中可以看出,Luakit 的各项性能指标都是比较好的,而且对代码没有要求,即使操作数据的代码不内聚,也不会对性能有影响。