项目经验，如需转载，请注明作者：Yuloran (t.cn/EGU6c76)

前言

本文总结项目中常用的 Rxjava2 操作符。

使用RxJava2原因

★★★★★ 封装了线程切换，不用自己封装线程池、Handler了
★★★★☆ 链式调用，一气呵成

单值发射

Single：大多数场景都是单值发射，所以使用 Single 即可覆盖大部分场景。

Case1. 在非UI线程执行且不关注结果

fromCallable

Single.fromCallable(new Callable<Integer>() {
            @Override
            public Integer call() throws Exception {
                Logger.d(TAG, "test: fromCallable() invoked on %s", Thread.currentThread().getName());
                return generateRandom();
            }
        }).subscribeOn(Schedulers.io()).subscribe();

从名字 Callable 就能看出，这是个回调函数，在 io 线程运行

defer

        Single.defer(new Callable<SingleSource<Integer>>() {
            @Override
            public SingleSource<Integer> call() throws Exception {
                Logger.d(TAG, "test: defer() invoked on %s", Thread.currentThread().getName());
                return Single.just(generateRandom());
            }
        }).subscribeOn(Schedulers.io()).subscribe();

注意，不能直接使用 Single.just(generateRandom()).subscribeOn(Schedulers.io()).subscribe()，这么写将直接在当前线程调用 generateRandom() ，无法实现在 io 线程执行的效果。

Case2. 在非UI线程执行并关注结果

需要关注结果的场景，建议都订阅 Consumer<Throwable>，因为 RxJava 内部捕获了 Exception，导致外部无感知

        Single.fromCallable(new Callable<Integer>() {
            @Override
            public Integer call() throws Exception {
                return generateRandom();
            }
        }).subscribeOn(Schedulers.io()).subscribe(new Consumer<Integer>() {
            @Override
            public void accept(Integer integer) throws Exception {
                Logger.d(TAG, "test: accept(Integer integer) invoked on %s", Thread.currentThread().getName());
            }
        }, new Consumer<Throwable>() {
            @Override
            public void accept(Throwable throwable) throws Exception {
                Logger.d(TAG, "test: accept(Throwable throwable) invoked on %s", Thread.currentThread().getName());
            }
        });

Case3. 在非UI线程执行但在UI线程关注结果

        Single.fromCallable(new Callable<Integer>() {
            @Override
            public Integer call() throws Exception {
                return generateRandom();
            }
        }).subscribeOn(Schedulers.io()).observeOn(AndroidSchedulers.mainThread()).subscribe(new Consumer<Integer>() {
            @Override
            public void accept(Integer integer) throws Exception {
                Logger.d(TAG, "test: accept(Integer integer) invoked on %s", Thread.currentThread().getName());
            }
        }, new Consumer<Throwable>() {
            @Override
            public void accept(Throwable throwable) throws Exception {
                Logger.d(TAG, "test: accept(Integer integer) invoked on %s", Thread.currentThread().getName());
            }
        });

Case4. 变换返回值

        Single.fromCallable(new Callable<Integer>() {
            @Override
            public Integer call() throws Exception {
                return generateRandom();
            }
        }).map(new Function<Integer, String>() {
            @Override
            public String apply(Integer integer) throws Exception {
                return String.valueOf(integer + "_mapped");
            }
        }).subscribe(new Consumer<String>() {
            @Override
            public void accept(String s) throws Exception {
                Logger.d(TAG, "test: " + s);
            }
        });

Case5. 按顺序做某事且下一件事依赖上一件事的结果[常用于网络请求接口依赖时]

        Single.defer(new Callable<SingleSource<String>>() {
            @Override
            public SingleSource<String> call() throws Exception {
                return getUserId();
            }
        }).flatMap(new Function<String, SingleSource<UserInfo>>() {
            @Override
            public SingleSource<UserInfo> apply(String userId) throws Exception {
                return getUserInfo(userId);
            }
        }).subscribeOn(Schedulers.io()).subscribe(new Consumer<UserInfo>() {
            @Override
            public void accept(UserInfo userInfo) throws Exception {
                Logger.d(TAG, "test: get userInfo success: " + userInfo);
            }
        }, new Consumer<Throwable>() {
            @Override
            public void accept(Throwable throwable) throws Exception {
                Logger.e(TAG, "test: get userInfo error.", throwable);
            }
        });

Case6. 并发读取不同数据源，转换成同类型后，合并

        Single<IBook> novel = Single.fromCallable(new Callable<Novel>() {
            @Override
            public Novel call() throws Exception {
                return getNovel();
            }
        }).map(new Function<Novel, IBook>() {
            @Override
            public IBook apply(Novel novel) throws Exception {
                return new NovelAdapter(novel);
            }
        }).subscribeOn(Schedulers.io());

        Single<IBook> rxJava2Tutorial = Single.fromCallable(new Callable<RxJava2Tutorial>() {
            @Override
            public RxJava2Tutorial call() throws Exception {
                return getRxJava2Tutorial();
            }
        }).map(new Function<RxJava2Tutorial, IBook>() {
            @Override
            public IBook apply(RxJava2Tutorial rxJava2Tutorial) throws Exception {
                return new RxJava2TutorialAdapter(rxJava2Tutorial);
            }
        }).subscribeOn(Schedulers.io());

        Single.zip(novel, rxJava2Tutorial, new BiFunction<IBook, IBook, List<IBook>>() {
            @Override
            public List<IBook> apply(IBook iBook, IBook iBook2) throws Exception {
                List<IBook> books = new ArrayList<>(2);
                books.add(iBook);
                books.add(iBook2);
                return books;
            }
        }).subscribe(new Consumer<List<IBook>>() {
            @Override
            public void accept(List<IBook> iBooks) throws Exception {
                Logger.d(TAG, "test: books are " + iBooks);
            }
        }, new Consumer<Throwable>() {
            @Override
            public void accept(Throwable throwable) throws Exception {
                Logger.d(TAG, "test: get books error.", throwable);
            }
        });

多值发射

Observable：使用场景较少，比如搜索功能需要不断发射搜索关键字。

Case1. 搜索频率限制

        Observable.create(new ObservableOnSubscribe<String>() {
            @Override
            public void subscribe(final ObservableEmitter<String> emitter) throws Exception {
                mEditText.addTextChangedListener(new TextWatcher() {
                    @Override
                    public void beforeTextChanged(CharSequence s, int start, int count, int after) {
                    }

                    @Override
                    public void onTextChanged(CharSequence s, int start, int before, int count) {
                    }

                    @Override
                    public void afterTextChanged(Editable s) {
                        if (!emitter.isDisposed()) {
                            emitter.onNext(s.toString().trim());
                        }
                    }
                });
            }
        }).debounce(200, TimeUnit.MILLISECONDS).observeOn(AndroidSchedulers.mainThread())
                .subscribe(new Consumer<String>() {
                    @Override
                    public void accept(String keyword) throws Exception {
                        mTextView.setText(search(keyword));
                    }
                }, new Consumer<Throwable>() {
                    @Override
                    public void accept(Throwable throwable) throws Exception {
                        Logger.e(TAG, "test: emitter keyword error.", throwable);
                    }
                });

背压

Flowable：使用场景最少，目前仅发射下载进度时可以用上。

Demo 地址

Click Here

总结

陈康肃公善射，当世无双，公亦以此自矜。尝射于家圃，有卖油翁释担而立，睨之久而不去。见其发矢十中八九，但微颔之。康肃问曰：”汝亦知射乎？吾射不亦精乎？”翁曰：”无他，但手熟尔。”康肃忿然曰：”尔安敢轻吾射！”翁曰：”以我酌油知之。”乃取一葫芦置于地，以钱覆其口，徐以杓酌油沥之，自钱孔入，而钱不湿。因曰：”我亦无他，惟手熟尔。”康肃笑而遣之。

附

RxJava2 源码解析及设计思想