我希望使用rxjava可观察到的方法来处理Retrofit中的分页。我听从了另一个question的建议。
我有超过100页需要获取,但是链在第20页附近失败,停止对logcat中下面的日志的任何进一步订阅。
04-04 04:12:11.766 2951-3012/com.example.app I/dalvikvm﹕ threadid=28: stack overflow on call to Ljava/util/concurrent/atomic/AtomicLongFieldUpdater$CASUpdater;.compareAndSet:ZLJJ
04-04 04:12:11.766 2951-3012/com.example.app I/dalvikvm﹕ method requires 56+20+32=108 bytes, fp is 0x94b52350 (80 left)
04-04 04:12:11.766 2951-3012/com.example.app I/dalvikvm﹕ expanding stack end (0x94b52300 to 0x94b52000)
04-04 04:12:11.766 2951-3012/com.example.app I/dalvikvm﹕ Shrank stack (to 0x94b52300, curFrame is 0x94b548dc)有人知道为什么会发生这种事吗?
更新:我知道这是由于递归而发生的,但是是否有一种更优雅的方法来使用和rxjava处理分页?
发布于 2015-04-12 20:19:32
所以,既然我回答了你提到的最初的问题,我可能也应该试着回答这个问题。:)
这是我原来的分页回答的另一个有效(也可能更简单)的替代方案,因为我已经在我的武库中开发了更多的Rx技巧。)(用java8 lambda样式的伪码完成):
Observable.range(Integer.MAX_VALUE)
// Get each page in order.
.concatMap(page -> getResults(page))
// Take every result up to and including the one where the next page index is null.
.takeUntil(result -> result.next == null)
// Add each output to a list builder. I'm using Guava's ImmutableList, but you could
// just as easily use a regular ArrayList and avoid having to map afterwards. I just
// personally prefer outputting an immutable data structure, and using the builder
// is natural for this.
//
// Also, if you wanted to have the observable stream the full output at each page,
// you could use collect instead of reduce. Note it has a slightly different syntax.
.reduce(
ImmutableList.<ResponseObject>builder(),
(builder, response) -> builder.addAll(response.results))
// Convert list builder to one List<ResponseObject> of all the things.
.map(builder -> builder.build())
.subscribe(results -> { /* Do something with results. */ });https://stackoverflow.com/questions/29444297
复制相似问题