一、Scheduler线程切换
这种场景经常会在“后台线程取数据,主线程展示”的模式中看见
- Observable.just(1, 2, 3, 4)
- .subscribeOn(Schedulers.io()) // 指定 subscribe() 发生在 IO 线程
- .observeOn(AndroidSchedulers.mainThread()) // 指定 Subscriber 的回调发生在主线程
- .subscribe(new Action1<Integer>() {
- @Override
- public void call(Integer number) {
- Log.d(tag, "number:" + number);
- }
- });
二、使用debounce做textSearch
用简单的话讲就是当N个结点发生的时间太靠近(即发生的时间差小于设定的值T),debounce就会自动过滤掉前N-1个结点。
比如在做百度地址联想的时候,可以使用debounce减少频繁的网络请求。避免每输入(删除)一个字就做一次联想
- RxTextView.textChangeEvents(inputEditText)
- .debounce(400, TimeUnit.MILLISECONDS)
- .observeOn(AndroidSchedulers.mainThread())
- .subscribe(new Observer<TextViewTextChangeEvent>() {
- @Override
- public void onCompleted() {
- log.d("onComplete");
- }
- @Override
- public void onError(Throwable e) {
- log.d("Error");
- }
- @Override
- public void onNext(TextViewTextChangeEvent onTextChangeEvent) {
- log.d(format("Searching for %s", onTextChangeEvent.text().toString()));
- }
- });
三、Retrofit结合RxJava做网络请求框架
这里不作详解,具体的介绍可以看扔物线的这篇文章,对RxJava的入门者有很大的启发。其中也讲到了RxJava和Retrofit如何结合来实现更简洁的代码
四、RxJava代替EventBus进行数据传递:RxBus
注意:RxBus并不是一个库,而是一种模式,是使用了RxJava的思想来达到EventBus的数据传递效果。这篇文章把RxBus讲的比较详细。
五、使用combineLatest合并最近N个结点
例如:注册的时候所有输入信息(邮箱、密码、电话号码等)合法才点亮注册按钮。
- Observable<CharSequence> _emailChangeObservable = RxTextView.textChanges(_email).skip(1);
- Observable<CharSequence> _passwordChangeObservable = RxTextView.textChanges(_password).skip(1);
- Observable<CharSequence> _numberChangeObservable = RxTextView.textChanges(_number).skip(1);
- Observable.combineLatest(_emailChangeObservable,
- _passwordChangeObservable,
- _numberChangeObservable,
- new Func3<CharSequence, CharSequence, CharSequence, Boolean>() {
- @Override
- public Boolean call(CharSequence newEmail,
- CharSequence newPassword,
- CharSequence newNumber) {
- Log.d("xiayong",newEmail+" "+newPassword+" "+newNumber);
- boolean emailValid = !isEmpty(newEmail) &&
- EMAIL_ADDRESS.matcher(newEmail).matches();
- if (!emailValid) {
- _email.setError("Invalid Email!");
- }
- boolean passValid = !isEmpty(newPassword) && newPassword.length() > 8;
- if (!passValid) {
- _password.setError("Invalid Password!");
- }
- boolean numValid = !isEmpty(newNumber);
- if (numValid) {
- int num = Integer.parseInt(newNumber.toString());
- numValid = num > 0 && num <= 100;
- }
- if (!numValid) {
- _number.setError("Invalid Number!");
- }
- return emailValid && passValid && numValid;
- }
- })//
- .subscribe(new Observer<Boolean>() {
- @Override
- public void onCompleted() {
- log.d("completed");
- }
- @Override
- public void onError(Throwable e) {
- log.d("Error");
- }
- @Override
- public void onNext(Boolean formValid) {
- _btnValidIndicator.setEnabled(formValid);
- }
- });
六、使用merge合并两个数据源。
例如一组数据来自网络,一组数据来自文件,需要合并两组数据一起展示。
- Observable.merge(getDataFromFile(), getDataFromNet())
- .observeOn(AndroidSchedulers.mainThread())
- .subscribe(new Subscriber<String>() {
- @Override
- public void onCompleted() {
- log.d("done loading all data");
- }
- @Override
- public void onError(Throwable e) {
- log.d("error");
- }
- @Override
- public void onNext(String data) {
- log.d("all merged data will pass here one by one!")
- });
七、使用concat和first做缓存
依次检查memory、disk和network中是否存在数据,任何一步一旦发现数据后面的操作都不执行。
- Observable<String> memory = Observable.create(new Observable.OnSubscribe<String>() {
- @Override
- public void call(Subscriber<? super String> subscriber) {
- if (memoryCache != null) {
- subscriber.onNext(memoryCache);
- } else {
- subscriber.onCompleted();
- }
- }
- });
- Observable<String> disk = Observable.create(new Observable.OnSubscribe<String>() {
- @Override
- public void call(Subscriber<? super String> subscriber) {
- String cachePref = rxPreferences.getString("cache").get();
- if (!TextUtils.isEmpty(cachePref)) {
- subscriber.onNext(cachePref);
- } else {
- subscriber.onCompleted();
- }
- }
- });
- Observable<String> network = Observable.just("network");
- //依次检查memory、disk、network
- Observable.concat(memory, disk, network)
- .first()
- .subscribeOn(Schedulers.newThread())
- .subscribe(s -> {
- memoryCache = "memory";
- System.out.println("--------------subscribe: " + s);
- });
八、使用timer做定时操作。当有“x秒后执行y操作”类似的需求的时候,想到使用timer
例如:2秒后输出日志“hello world”,然后结束。
- Observable.timer(2, TimeUnit.SECONDS)
- .subscribe(new Observer<Long>() {
- @Override
- public void onCompleted() {
- log.d ("completed");
- }
- @Override
- public void onError(Throwable e) {
- log.e("error");
- }
- @Override
- public void onNext(Long number) {
- log.d ("hello world");
- }
- });
九、使用interval做周期性操作。当有“每隔xx秒后执行yy操作”类似的需求的时候,想到使用interval
例如:每隔2秒输出日志“helloworld”。- Observable.interval(2, TimeUnit.SECONDS)
- .subscribe(new Observer<Long>() {
- @Override
- public void onCompleted() {
- log.d ("completed");
- }
- @Override
- public void onError(Throwable e) {
- log.e("error");
- }
- @Override
- public void onNext(Long number) {
- log.d ("hello world");
- }
- });
十、使用throttleFirst防止按钮重复点击
ps:debounce也能达到同样的效果
- RxView.clicks(button)
- .throttleFirst(1, TimeUnit.SECONDS)
- .subscribe(new Observer<Object>() {
- @Override
- public void onCompleted() {
- log.d ("completed");
- }
- @Override
- public void onError(Throwable e) {
- log.e("error");
- }
- @Override
- public void onNext(Object o) {
- log.d("button clicked");
- }
- });
十一、使用schedulePeriodically做轮询请求
- Observable.create(new Observable.OnSubscribe<String>() {
- @Override
- public void call(final Subscriber<? super String> observer) {
- Schedulers.newThread().createWorker()
- .schedulePeriodically(new Action0() {
- @Override
- public void call() {
- observer.onNext(doNetworkCallAndGetStringResult());
- }
- }, INITIAL_DELAY, POLLING_INTERVAL, TimeUnit.MILLISECONDS);
- }
- }).subscribe(new Action1<String>() {
- @Override
- public void call(String s) {
- log.d("polling….”));
- }
- })
十二、RxJava进行数组、list的遍历
- String[] names = {"Tom", "Lily", "Alisa", "Sheldon", "Bill"};
- Observable
- .from(names)
- .subscribe(new Action1<String>() {
- @Override
- public void call(String name) {
- log.d(name);
- }
- });
十三、解决嵌套回调(callback hell)问题
- NetworkService.getToken("username", "password")
- .flatMap(s -> NetworkService.getMessage(s))
- .subscribe(s -> {
- System.out.println("message: " + s);
- })
十四、响应式的界面
比如勾选了某个checkbox,自动更新对应的preference
- SharedPreferences preferences = PreferenceManager.getDefaultSharedPreferences(this);
- RxSharedPreferences rxPreferences = RxSharedPreferences.create(preferences);
- Preference<Boolean> checked = rxPreferences.getBoolean("checked", true);
- CheckBox checkBox = (CheckBox) findViewById(R.id.cb_test);
- RxCompoundButton.checkedChanges(checkBox)
- .subscribe(checked.asAction());
最后,由于个人能力有限,文章难免有疏漏之处,如果您有任何疑议,请让我知道,谢谢!本文所有的例子已经上传到github上
致谢:这篇文章的绝大多数例子是从这里总结的,还有部分例子来自这里。对作者的无私贡献表示感谢!