在ExoPlayer中使用緩存

Question

我正在尋找在ExoPlayer中實現緩存的任何示例。

ExoPlayer在其庫中有關於緩存的不同類，Google在此video中解釋了我們可以使用CacheDataSource類實現它，但Google不提供任何演示。不幸的是，這看起來很複雜，所以我現在正在尋找例子（在Google上沒有成功）。

有沒有人成功或有任何信息可以幫助？謝謝。

Answer 1

我在渲染建設者

private static final int BUFFER_SEGMENT_SIZE = 64 * 1024; 
private static final int BUFFER_SEGMENT_COUNT = 160; 

final String userAgent = Util.getUserAgent(mContext, appName); 
final DefaultBandwidthMeter bandwidthMeter = new DefaultBandwidthMeter(); 
final Allocator allocator = new DefaultAllocator(BUFFER_SEGMENT_SIZE);* 

Cache cache = new SimpleCache(context.getCacheDir(), new LeastRecentlyUsedCacheEvictor(1024 * 1024 * 10)); 
DataSource dataSource = new DefaultUriDataSource(context, bandwidthMeter, userAgent); 
CacheDataSource cacheDataSource = new CacheDataSource(cache, dataSource, false, false); 
ExtractorSampleSource sampleSource = new ExtractorSampleSource(uri 
       , cacheDataSource 
       , allocator 
       , BUFFER_SEGMENT_COUNT * BUFFER_SEGMENT_SIZE 
       , new Mp4Extractor()); 

Answer 2

在這裏實現它像這是它取代演示數據源與OkHttp爲例，默認是沒有緩存 https://github.com/b95505017/ExoPlayer/commit/ebfdda8e7848a2e2e275f5c0525f614b56ef43a6 https://github.com/b95505017/ExoPlayer/tree/okhttp_http_data_source 所以，你只需要配置OkHttp緩存正確並且請求應該被緩存。

Answer 3

這裏是ExoPlayer 2 +

創建自定義緩存數據源廠

class CacheDataSourceFactory implements DataSource.Factory { 
    private final Context context; 
    private final DefaultDataSourceFactory defaultDatasourceFactory; 
    private final long maxFileSize, maxCacheSize; 

    CacheDataSourceFactory(Context context, long maxCacheSize, long maxFileSize) { 
     super(); 
     this.context = context; 
     this.maxCacheSize = maxCacheSize; 
     this.maxFileSize = maxFileSize; 
     String userAgent = Util.getUserAgent(context, context.getString(R.string.app_name)); 
     DefaultBandwidthMeter bandwidthMeter = new DefaultBandwidthMeter(); 
     defaultDatasourceFactory = new DefaultDataSourceFactory(this.context, 
       bandwidthMeter, 
       new DefaultHttpDataSourceFactory(userAgent, bandwidthMeter)); 
    } 

    @Override 
    public DataSource createDataSource() { 
     LeastRecentlyUsedCacheEvictor evictor = new LeastRecentlyUsedCacheEvictor(maxCacheSize); 
     SimpleCache simpleCache = new SimpleCache(new File(context.getCacheDir(), "media"), evictor); 
     return new CacheDataSource(simpleCache, defaultDatasourceFactory.createDataSource(), 
       new FileDataSource(), new CacheDataSink(simpleCache, maxFileSize), 
       CacheDataSource.FLAG_BLOCK_ON_CACHE | CacheDataSource.FLAG_IGNORE_CACHE_ON_ERROR, null); 
    } 
} 

而且選手

BandwidthMeter bandwidthMeter = new DefaultBandwidthMeter(); 
TrackSelection.Factory videoTrackSelectionFactory = 
     new AdaptiveTrackSelection.Factory(bandwidthMeter); 
TrackSelector trackSelector = new DefaultTrackSelector(videoTrackSelectionFactory); 

SimpleExoPlayer exoPlayer = ExoPlayerFactory.newSimpleInstance(this, trackSelector); 
MediaSource audioSource = new ExtractorMediaSource(Uri.parse(url), 
      new CacheDataSourceFactory(context, 100 * 1024 * 1024, 5 * 1024 * 1024), new DefaultExtractorsFactory(), null, null); 
exoPlayer.setPlayWhenReady(true); 
exoPlayer.prepare(audioSource); 

它工作得很好的解決方案。