只是想知道你对我应该如何为这种情况建立文档的建议。
目前我有一个复杂的MultiMap索引，它从其他几个文档集合中提取计数器/统计数据，在我的开发机器上，它在80毫秒内返回一小部分测试数据（我和＃ 39;我很高兴。）
当我的制作服务器出现这种情况时会有什么样的表现，平均每个组合每周会收到大约500个播放，每周200次下载以及一些喜欢，收藏和评论。我将每页显示20-25个混音。
你会保留这个设计，还是更好地对我的计数器进行非规范化并将它们存储在Audio文档中，只要它能正常运行，使用索引会有很少的工作量？
public class AudioWithCounters : AbstractMultiMapIndexCreationTask<AudioWithCounters.AudioViewModel>
{
public class AudioViewModel
{
public string Id { get; set; }
public string ArtistName { get; set; }
public string Name { get; set; }
public int TotalComments { get; set; }
public int TotalDownloads { get; set; }
public int TotalPlays { get; set; }
public int TotalLikes { get; set; }
public int TotalFavourites { get; set; }
public int WeeksComments { get; set; }
public int WeeksDownloads { get; set; }
public int WeeksPlays { get; set; }
public int WeeksLikes { get; set; }
public int WeeksFavourites { get; set; }
}
public AudioWithCounters()
{
AddMap<Audio>(audios => from audio in audios
select new
{
Id = audio.Id,
ArtistName = audio.ArtistName,
Name = audio.Name,
TotalDownloads = 0,
TotalComments = audio.CommentsCount,
TotalPlays = 0,
TotalLikes = 0,
TotalFavourites = 0,
WeeksDownloads = 0,
WeeksPlays = 0,
WeeksComments = 0,
WeeksLikes = 0,
WeeksFavourites = 0
});
AddMap<AudioComments>(comments => from audioComment in comments
from comment in audioComment.Comments
where comment.CreatedAt >= DateTimeOffset.Now.AddDays(-7)
select new
{
Id = audioComment.Audio.Id,
ArtistName = (string)null,
Name = (string)null,
TotalDownloads = 0,
TotalComments = 0,
TotalPlays = 0,
TotalLikes = 0,
TotalFavourites = 0,
WeeksDownloads = 0,
WeeksPlays = 0,
WeeksComments = 1,
WeeksLikes = 0,
WeeksFavourites = 0
});
AddMap<AudioCounter>(counters => from counter in counters
where counter.Type == Core.Enums.Audio.AudioCounterType.Download
select new
{
Id = counter.AudioId,
ArtistName = (string)null,
Name = (string)null,
TotalDownloads = 1,
TotalComments = 0,
TotalPlays = 0,
TotalLikes = 0,
TotalFavourites = 0,
WeeksDownloads = 0,
WeeksPlays = 0,
WeeksComments = 0,
WeeksLikes = 0,
WeeksFavourites = 0
});
AddMap<AudioCounter>(counters => from counter in counters
where counter.Type == Core.Enums.Audio.AudioCounterType.Play
select new
{
Id = counter.AudioId,
ArtistName = (string)null,
Name = (string)null,
TotalDownloads = 0,
TotalPlays = 1,
TotalComments = 0,
TotalLikes = 0,
TotalFavourites = 0,
WeeksDownloads = 0,
WeeksPlays = 0,
WeeksComments = 0,
WeeksLikes = 0,
WeeksFavourites = 0
});
AddMap<AudioCounter>(counters => from counter in counters
where counter.Type == Core.Enums.Audio.AudioCounterType.Download
where counter.DateTime >= DateTimeOffset.Now.AddDays(-7)
select new
{
Id = counter.AudioId,
ArtistName = (string)null,
Name = (string)null,
TotalDownloads = 0,
TotalPlays = 0,
TotalComments = 0,
TotalLikes = 0,
TotalFavourites = 0,
WeeksDownloads = 1,
WeeksPlays = 0,
WeeksComments = 0,
WeeksLikes = 0,
WeeksFavourites = 0
});
AddMap<Like>(likes => from like in likes
select new
{
Id = like.AudioId,
ArtistName = (string)null,
Name = (string)null,
TotalDownloads = 0,
TotalPlays = 0,
TotalComments = 0,
TotalLikes = 1,
TotalFavourites = 0,
WeeksDownloads = 0,
WeeksPlays = 0,
WeeksComments = 0,
WeeksLikes = 0,
WeeksFavourites = 0
});
AddMap<Favourite>(favs => from fav in favs
select new
{
Id = fav.AudioId,
ArtistName = (string)null,
Name = (string)null,
TotalDownloads = 0,
TotalPlays = 0,
TotalComments = 0,
TotalLikes = 0,
TotalFavourites = 1,
WeeksDownloads = 0,
WeeksPlays = 0,
WeeksComments = 0,
WeeksLikes = 0,
WeeksFavourites = 0
});
AddMap<AudioCounter>(counters => from counter in counters
where counter.Type == Core.Enums.Audio.AudioCounterType.Play
where counter.DateTime >= DateTimeOffset.Now.AddDays(-7)
select new
{
Id = counter.AudioId,
ArtistName = (string)null,
Name = (string)null,
TotalDownloads = 0,
TotalPlays = 0,
TotalComments = 0,
TotalLikes = 0,
TotalFavourites = 0,
WeeksDownloads = 1,
WeeksPlays = 0,
WeeksComments = 0,
WeeksLikes = 0,
WeeksFavourites = 0
});
AddMap<Like>(likes => from like in likes
where like.DateCreated >= DateTimeOffset.Now.AddDays(-7)
select new
{
Id = like.AudioId,
ArtistName = (string)null,
Name = (string)null,
TotalDownloads = 0,
TotalPlays = 0,
TotalComments = 0,
TotalLikes = 0,
TotalFavourites = 0,
WeeksDownloads = 0,
WeeksPlays = 0,
WeeksComments = 0,
WeeksLikes = 1,
WeeksFavourites = 0
});
AddMap<Favourite>(favs => from fav in favs
where fav.DateCreated >= DateTimeOffset.Now.AddDays(-7)
select new
{
Id = fav.AudioId,
ArtistName = (string)null,
Name = (string)null,
TotalDownloads = 0,
TotalPlays = 0,
TotalComments = 0,
TotalLikes = 0,
TotalFavourites = 0,
WeeksDownloads = 0,
WeeksPlays = 0,
WeeksComments = 0,
WeeksLikes = 0,
WeeksFavourites = 1
});
Reduce = results => from result in results
group result by result.Id
into g
select new
{
Id = g.Key,
ArtistName = g.Select(x => x.ArtistName).Where(x => x != null).FirstOrDefault(),
Name = g.Select(x => x.Name).Where(x => x != null).FirstOrDefault(),
TotalDownloads = g.Sum(x => x.TotalDownloads),
TotalPlays = g.Sum(x => x.TotalPlays),
TotalComments = g.Sum(x => x.TotalComments),
TotalLikes = g.Sum(x => x.TotalLikes),
TotalFavourites = g.Sum(x => x.TotalFavourites),
WeeksComments = g.Sum(x => x.WeeksComments),
WeeksDownloads = g.Sum(x => x.WeeksDownloads),
WeeksPlays = g.Sum(x => x.WeeksPlays),
WeeksLikes = g.Sum(x => x.WeeksLikes),
WeeksFavourites = g.Sum(x => x.WeeksFavourites)
};
}
答案 0 :(得分：2)
你的模特很好，坚持下去。在查询时，您不会注意到任何性能问题，因为查询将针对预先计算的索引运行。因此，所有工作都在服务器上的后台线程中异步完成 - 这使您的查询更快。
此外，您不必担心索引执行中的性能，因为Map函数将仅在新文档或已更改的文档上运行，而Reduce函数在组中执行，因此仅计算新的映射结果。
假设它是我们正在讨论的网站，你将计数归结为音频文档的替代建议会给你带来麻烦，因为每次有人点击下载你都需要加载和更新音频文件或者玩。当然，你不会注意到在一个小网站上，但如果你有一些同时访问者，这将成为一个问题。此外，使用Map / Reduce方法和AudioCounter文档进行扩展要容易得多，因为这样你就不必担心并发和复制 - 相反，当有人下载或播放标题时，只需输入一个新的AudioCounter文档然后继续。
你应该注意的一件事是周计数器。如果我对他们的意图的假设是正确的，那么他们现在的工作方式就不会如此。问题是，你不能在map / reduce索引中有一个“范围聚合”（不知道正确的单词） - 它总是关于总数。为此，您可以提出一个facet查询来计算记录数，或者使用索引复制包来填充可以进行临时查询的SQL表。对不起，我现在没有找到一个很好的例子来表达方面的方法，也许我会在周末整理一个......