flutter_orm_plugin 发布以来,很多团队试用了,我发现你们对这类数据库相关的库,第一反应就是性能如何,以前确实没作太多行业对比,最近以为仍是有必要作一下性能测试,给你们一个交代的。java
在ios端,业界比较经常使用的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经常使用的,greendao,realm和activeandroid。我会用flutter_orm_plugin跟上面提到的ios和android端orm框架作对比。 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。android
测试用例我列了如下这些ios
为何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框架都会对批量操做有必定的优化,因此须要对批量操做进行测试,可是在平时使用,不必定都能用上批量接口(例如屡次数据操做不在同一代码块,或者在不一样的模块中都要操做数据),因此咱们会分别对普通操做和批量操做进行测试。git
首先咱们给出flutter_orm_plugin 的测试代码,因为不想由于flutter和原生channel通信产生偏差,咱们直接用Luakit来写lua代码作测试(greendao、realm、activeandroid、coredata都不涉及flutter和原生channel通信),flutter_orm_plugin其实底层就是luakit的orm框架,这个不影响测试准确性。github
Luakit定义orm模型结构并作10000次插入,下面的代码是ios和android通用的。数据库
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) 复制代码
activeandroid定义orm模型结构并作10000次插入bash
@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();
}
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realm android 定义orm模型结构并作10000次插入框架
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();
}
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GreenDao定义orm模型结构并作10000次插入ide
@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);
}
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Luakit没有提供批量插入接口。性能
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();
复制代码
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();
复制代码
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);
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###数据查询
Luakit作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
复制代码
active android作10000次查询。
for (int i=0 ; i<10000 ;i++) {
List<Student> student = new Select()
.from(Student.class)
.where("studentId = ?", "studentId"+i)
.execute();
}
复制代码
realm android 作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);
}
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GreenDao 作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();
}
复制代码
###循环更新
Luakit作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 复制代码
active android作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();
}
复制代码
realm android作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();
}
复制代码
GreenDao作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));
}
复制代码
###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();
复制代码
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();
复制代码
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);
复制代码
###循环删除
Luakit作10000次删除操做。
local studentTable = Table("Student")
for i=1,10000 do
studentTable.get:where({"studentId"..i},"studentId = ?"):delete()
end
复制代码
active android作10000次删除操做。
for (int i=0 ; i<10000 ;i++) {
ActiveAndroid.beginTransaction();
new Delete().from(Student.class).where("studentId = ?", "studentId"+i).execute();
ActiveAndroid.setTransactionSuccessful();
ActiveAndroid.endTransaction();
}
复制代码
realm android作10000次删除操做。
for (int i=0 ; i<10000 ;i++) {
realm.beginTransaction();
StudentRealm student = realm.where(StudentRealm.class).equalTo("studentId", "studentId"+i).findFirst();
student.deleteFromRealm();
realm.commitTransaction();
}
复制代码
GreenDao作10000次删除操做。
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));
}
复制代码
###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();
复制代码
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();
复制代码
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);
复制代码
下面给出测试结果,表格中全部数据的单位是秒,即作10000次操做须要的秒数。
能够看到,active android各项性能都通常。
在使用批量接口的状况下GreenDao和Realm的性能比较好。
在使用批量接口的状况下Realm的性能尤为好,批量插入、查询、批量更改、批量删除都是Realm的性能最好,可是Realm的非批量接口性能较差,全部能够这样总结,若是代码高内聚,能够把数据操做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,当操做数据的代码处处都有,不能使用批量接口时,Realm的性能是很差的。
Luakit没有提供批量接口,但从图中能够看出,Luakit的各项性能指标都是比较好的,并且对代码没有要求,即便操做数据的代码不内聚,也不会对性能有影响。
Luakit是跨平台的,代码跟android同样,下面就不列了,只给出Coredata和 Realm ios
Coredata 定义orm模型结构并作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];
}
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Realm ios定义orm模型结构并作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];
}
复制代码
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];
复制代码
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];
复制代码
Coredata 作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];
}
复制代码
Realm ios作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;
}
复制代码
###循环更新
Coredata 作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];
}
复制代码
Realm ios作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];
}
复制代码
###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];
复制代码
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];
复制代码
###循环删除
Coredata 作10000次删除操做。
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];
}
复制代码
Realm ios作10000次删除操做。
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];
}
复制代码
###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];
复制代码
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];
复制代码
下面给出测试结果,表格中全部数据的单位是秒,即作10000次操做须要的秒数。
能够看到,Coredata除了批量插入性能是最好的之外,其余项性能都通常。
Realm ios和Realm android性能很是类似,批量操做性能优异,可是非批量操做性能通常。能够这样总结,若是代码高内聚,能够把数据操做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,当操做数据的代码处处都有,不能使用批量接口时,Realm的性能是很差的。
Luakit没有提供批量接口,但从图中能够看出,Luakit的各项性能指标都是比较好的,并且对代码没有要求,即便操做数据的代码不内聚,也不会对性能有影响。