无意间发现了一个有趣的项目,Stream-Query
。了解了一下其基本的功能,可以帮助开发者省去Mapper的编写。在开发中,我们会编写entity和mapper来完成业务代码,但是Stream-Query
可以省去mapper,只写entity。
实体类
@Data
public class UserInfo{
private static final long serialVersionUID = -7219188882388819210L;
@TableId(value = "id", type = IdType.AUTO)
private Long id;
private String name;
private Integer age;
private String email;
}
创表语句
create table user_info
(
id bigint auto_increment comment '主键'
primary key,
name varchar(20) null comment '姓名',
age int comment '年龄',
email varchar(20) comment '邮件'
)comment '用户信息';
配置扫描包
@EnableMybatisPlusPlugin(basePackages = "com.charles.entity.**")
插入Demo
@GetMapping("/t1")
public void t1() {
UserInfo userInfo = new UserInfo();
userInfo.setAge(12);
userInfo.setEmail("[email protected]");
userInfo.setName("张三");
UserInfo userInfo2 = new UserInfo();
userInfo2.setAge(123);
userInfo2.setEmail("[email protected]");
userInfo2.setName("李四");
Database.saveFewSql(Arrays.asList(userInfo, userInfo2));
}
单个查询Demo
@GetMapping("t2")
public void t2() {
UserInfo userInfo = One.of(UserInfo::getId).eq(2L).query();
System.out.println(userInfo);
}
多个查询Demo
@GetMapping("t3")
public void t3() {
QueryCondition.query(UserInfo.class)
.in(UserInfo::getName, Lists.of("张三", "李四"));
QueryCondition<UserInfo> wrapper =
QueryCondition.query(UserInfo.class)
.in(UserInfo::getName, Lists.of("张三", "李四"));
List<UserInfo> list = Database.list(wrapper);
Map<Long, UserInfo> idUserMap = OneToOne.of(UserInfo::getId).eq(1L).query();
System.out.println(list);
}
Stream-Query
通过Database,One,Many等静态方法完成查询和插入等操作。
EnableMybatisPlusPlugin
注入了StreamConfigurationSelector
。
@Retention(RetentionPolicy.RUNTIME)
@Target({ElementType.TYPE})
@Documented
@Inherited
@Import({StreamConfigurationSelector.class})
public @interface EnableMybatisPlusPlugin {
/**
* Alias for {@link #basePackages()}
*
* @return base packages
*/
String[] value() default {};
/**
* Base packages
*
* @return base packages
*/
String[] basePackages() default {};
}
StreamConfigurationSelector
注入了StreamScannerRegistrar
扫描注册器和StreamPluginAutoConfiguration
配置类。
public class StreamConfigurationSelector implements DeferredImportSelector, Ordered {
@Override
public String[] selectImports(AnnotationMetadata metadata) {
return new String[] {
StreamScannerRegistrar.class.getName(), StreamPluginAutoConfiguration.class.getName()
};
}
@Override
public int getOrder() {
return HIGHEST_PRECEDENCE;
}
}
StreamScannerRegistrar
注入了StreamScannerConfigurer
扫描类。
public class StreamScannerRegistrar implements ImportBeanDefinitionRegistrar {
@Override
public void registerBeanDefinitions(
AnnotationMetadata importingClassMetadata, BeanDefinitionRegistry registry) {
AnnotationAttributes annotationAttributes =
AnnotationAttributes.fromMap(
importingClassMetadata.getAnnotationAttributes(
EnableMybatisPlusPlugin.class.getName()));
if (Objects.isNull(annotationAttributes)) {
return;
}
BeanDefinitionBuilder builder =
BeanDefinitionBuilder.genericBeanDefinition(StreamScannerConfigurer.class);
Set<String> basePackages = new HashSet<>();
basePackages.addAll(
Arrays.stream(annotationAttributes.getStringArray("value"))
.filter(StringUtils::hasText)
.collect(Collectors.toSet()));
basePackages.addAll(
Arrays.stream(annotationAttributes.getStringArray("basePackages"))
.filter(StringUtils::hasText)
.collect(Collectors.toSet()));
basePackages.addAll(
Arrays.stream(annotationAttributes.getClassArray("basePackageClasses"))
.filter(Objects::nonNull)
.map(ClassUtils::getPackageName)
.collect(Collectors.toSet()));
if (basePackages.isEmpty()) {
basePackages.add(ClassUtils.getPackageName(importingClassMetadata.getClassName()));
builder.addPropertyValue("emptyBasePackages", true);
}
builder.addPropertyValue("basePackages", basePackages);
Set<Class<?>> classes =
Arrays.stream(annotationAttributes.getClassArray("classes"))
.filter(Objects::nonNull)
.collect(Collectors.toSet());
builder.addPropertyValue("classes", classes);
Class<? extends Annotation> annotation = annotationAttributes.getClass("annotation");
if (!Annotation.class.equals(annotation)) {
builder.addPropertyValue("annotation", annotation);
}
Class<?> scanInterface = annotationAttributes.getClass("interfaceClass");
if (!Class.class.equals(scanInterface)) {
builder.addPropertyValue("interfaceClass", scanInterface);
}
registry.registerBeanDefinition("streamScannerConfigurer", builder.getBeanDefinition());
}
}
StreamScannerConfigurer
实现了BeanFactoryPostProcessor
,StreamScannerConfigurer#postProcessBeanFactory
可以根据注解扫描,可以根据接口扫描,可以根据扫描包扫描。详情可见 enablemybatisplusplugin。
@Override
public void postProcessBeanFactory(ConfigurableListableBeanFactory beanFactory)
throws BeansException {
defaultScanConfig();
// 指定类
registerEntityClasses(this.classes);
StreamClassPathScanner scanner = new StreamClassPathScanner(false);
scanner.setAnnotation(this.annotation);
scanner.setInterfaceClass(this.interfaceClass);
scanner.registerFilters();
Set<Class<?>> classSet = scanner.scan(this.basePackages);
registerEntityClasses(classSet);
}
在StreamPluginAutoConfiguration
配置类中注入了DynamicMapperHandler
。
@Bean
@ConditionalOnMissingBean(DynamicMapperHandler.class)
public DynamicMapperHandler dynamicMapperHandler(
SqlSessionFactory sqlSessionFactory, StreamScannerConfigurer streamScannerConfigurer) {
return new DynamicMapperHandler(sqlSessionFactory, streamScannerConfigurer.getEntityClasses());
}
DynamicMapperHandler
该类的作用就是根据传入的entity的列表,构建Mapper。
public class DynamicMapperHandler {
public DynamicMapperHandler(
SqlSessionFactory sqlSessionFactory, Collection<Class<?>> entityClassList) {
Configuration configuration = sqlSessionFactory.getConfiguration();
if (configuration instanceof MybatisConfiguration) {
MybatisConfiguration mybatisConfiguration = (MybatisConfiguration) configuration;
entityClassList.forEach(
entityClass -> Database.buildMapper(mybatisConfiguration, entityClass));
}
}
}
Database#buildMapper
,根据ByteBuddy
来生成对应的接口实现。
public static void buildMapper(Configuration configuration, Class<?> entityClass) {
if (!(configuration instanceof MybatisConfiguration)) {
throw new IllegalArgumentException("configuration must be MybatisConfiguration");
}
Maps.computeIfAbsent(
ENTITY_MAPPER_CLASS_CACHE,
entityClass,
k -> {
Class<?> dynamicMapper =
new ByteBuddy()
.makeInterface(
TypeDescription.Generic.Builder.parameterizedType(IMapper.class, entityClass)
.build())
.name(
String.format(
"%s.%sMapper",
PluginConst.DYNAMIC_MAPPER_PREFIX, entityClass.getSimpleName()))
.make()
.load(ClassUtils.class.getClassLoader())
.getLoaded();
configuration.addMapper(dynamicMapper);
return dynamicMapper;
});
}
以上就是项目初始化的流程,StreamQuery
帮助我们完成了根据Entity来自动生成Mapper,接下来我们分析一下StreamQuery
是如何帮助我们简化使用的。
Database#saveFewSql(java.util.Collection
,保存操作,获取SqlSession
,获取IMapper
,执行saveFewSql
的方法。
public static <T> boolean saveFewSql(Collection<T> entityList) {
return saveFewSql(entityList, PluginConst.DEFAULT_BATCH_SIZE);
}
public static <T> boolean saveFewSql(Collection<T> entityList, int batchSize) {
if (CollectionUtils.isEmpty(entityList) || batchSize <= 0) {
return false;
}
return execute(
getEntityClass(entityList),
(IMapper<T> baseMapper) ->
entityList.size() == baseMapper.saveFewSql(entityList, batchSize));
}
public static <T, R, M extends BaseMapper<T>> R execute(
Class<T> entityClass, SFunction<M, R> sFunction) {
SqlSession sqlSession = SqlHelper.sqlSession(entityClass);
try {
return sFunction.apply(getMapper(entityClass, sqlSession));
} finally {
SqlSessionUtils.closeSqlSession(
sqlSession, GlobalConfigUtils.currentSessionFactory(entityClass));
}
}
IMapper#saveFewSql
,默认实现是批量拆分List,调用saveOneSql
。
/**
* 批量插入
*
* @param list 集合
* @param batchSize 分割量
* @return 是否成功
*/
default long saveFewSql(Collection<T> list, int batchSize) {
return Steam.of(list).splitList(batchSize).mapToLong(this::saveOneSql).sum();
}
One
One
,返回单个实体类。通过封装Database
来完成查询单个操作。
/**
* query.
*
* @return a V object
*/
public V query() {
return Sf.of(Database.getOne(wrapper)).mayAlso(peekConsumer).mayLet(valueOrIdentity()).get();
}
QueryCondition
QueryCondition
查询条件类,继承了LambdaQueryWrapper
。
也就是new LambdaQueryWrapper
等于QueryCondition
public class QueryCondition<T> extends LambdaQueryWrapper<T> {
public static <T> QueryCondition<T> query(Class<T> entityClass) {
QueryCondition<T> condition = new QueryCondition<>();
condition.setEntityClass(entityClass);
return condition;
}
OneToOne
OneToOne
封装了一层Stream的操作。
public Map<K, V> query() {
return query(HashMap::new);
}
/**
* query.
*
* @param mapFactory a {@link java.util.function.IntFunction} object
* @param a R class
* @return a R object
*/
public <R extends Map<K, V>> R query(IntFunction<R> mapFactory) {
List<T> list = Database.list(wrapper);
return Steam.of(list)
.parallel(isParallel)
.peek(peekConsumer)
.toMap(
keyFunction,
valueOrIdentity(),
SerBiOp.justAfter(),
() -> mapFactory.apply(list.size()));
}
AsyncHelper
AsyncHelper
使用
public static void main(String[] args) {
List<String> result = AsyncHelper.supply(() -> {
System.out.println(Thread.currentThread().getName() + "1111");
return "123";
}, () -> {
System.out.println(Thread.currentThread().getName() + "2345");
return "456";
});
System.out.println(result);
}
原理分析,可以指定拦截器和线程池,使用CompletableFuture.supplyAsync
来完成异步执行。
@SafeVarargs
public static <T> List<T> supply(AsyncConfig asyncConfig, SerSupp<T>... suppliers) {
AsyncInterceptor interceptor = asyncConfig.getInterceptor();
interceptor.before();
CompletableFuture<T>[] futures = (CompletableFuture[])Steam.of(suppliers).map((supplier) -> {
return CompletableFuture.supplyAsync(() -> {
return interceptor.execute(supplier);
}, asyncConfig.getExecutor());
}).toArray((x$0) -> {
return new CompletableFuture[x$0];
});
CompletableFuture var10000 = CompletableFuture.allOf(futures);
interceptor.getClass();
CompletableFuture<Void> exceptionally = var10000.exceptionally(interceptor::onError);
(() -> {
return asyncConfig.getTimeout() == -1 ? exceptionally.get() : exceptionally.get((long)asyncConfig.getTimeout(), asyncConfig.getTimeUnit());
}).get();
interceptor.after();
return Steam.of(futures).map(CompletableFuture::get).toList();
}