在带有 .NET 驱动程序的 Azure DocumentDB 中使用 MongoDB 会引发 MongoCommandException

Using MongoDB in Azure DocumentDB with .NET driver throws MongoCommandException

我正在使用 Azure DocumentDB 来操作 MongoDB 集合。

根据我的 Azure 标准计划,我有 1000 RU/s 的限制。

当我尝试从我的 MongoDB 集合中过滤和排序一些数据时,我遇到了这个问题。

这是我使用 .NET MongoDB 驱动程序 2.4.2.0 的 C# 代码:

    // GET api/movies
    [HttpGet]
    public async Task<IActionResult> Get([RequiredFromQuery] int page, [FromQuery] int limit,
        [FromQuery] string quality, [FromQuery] int minimumRating, [FromQuery] string queryTerm, [FromQuery] string genre, [FromQuery] string sortBy, [FromQuery] string orderBy)
    {
        var nbMoviesPerPage = 20;
        if (limit >= 20 && limit <= 50)
        {
            nbMoviesPerPage = limit;
        }

        var currentPage = 1;
        if (page >= 1)
        {
            currentPage = page;
        }

        var movies = _mongoDbService.GetCollection(Constants.MoviesCollectionName);
        var filter = Builders<MovieBson>.Filter.Empty;
        var sort = Builders<MovieBson>.Sort.Descending(movie => movie.DateUploadedUnix);

        if (!string.IsNullOrWhiteSpace(quality) &&
            (quality == "720p" || quality == "1080p" || quality.ToLower() == "3d"))
        {
            filter = filter & Builders<MovieBson>.Filter.Eq("torrents.quality", quality);
        }

        if (minimumRating > 0 && minimumRating < 10)
        {
            filter = filter & Builders<MovieBson>.Filter.Gt("rating", minimumRating);
        }

        if (!string.IsNullOrWhiteSpace(queryTerm))
        {
            filter = filter &
                     (Builders<MovieBson>.Filter.Regex("imdb_code", new BsonRegularExpression("/^" + queryTerm + "$/i")) |
                      Builders<MovieBson>.Filter.Regex("title", new BsonRegularExpression("/^" + queryTerm + "$/i")) |
                      Builders<MovieBson>.Filter.Regex("cast.name", new BsonRegularExpression("/^" + queryTerm + "$/i")) |
                      Builders<MovieBson>.Filter.Regex("cast.imdb_code", new BsonRegularExpression("/^" + queryTerm + "$/i")));
        }

        if (!string.IsNullOrWhiteSpace(genre))
        {
            filter = filter & Builders<MovieBson>.Filter.In("genres", new List<string>
            {
                genre
            });
        }

        if (!string.IsNullOrWhiteSpace(sortBy))
        {
            switch (sortBy)
            {
                case "title":
                    sort = Builders<MovieBson>.Sort.Ascending(movie => movie.Title);
                    break;
                case "year":
                    sort = Builders<MovieBson>.Sort.Descending(movie => movie.Year);
                    break;
                case "rating":
                    sort = Builders<MovieBson>.Sort.Descending(movie => movie.Rating);
                    break;
                case "peers":
                    sort =
                        Builders<MovieBson>.Sort.Descending(movie => movie.Torrents.Select(torrent => torrent.Peers));
                    break;
                case "seeds":
                    sort =
                        Builders<MovieBson>.Sort.Descending(movie => movie.Torrents.Select(torrent => torrent.Seeds));
                    break;
                case "download_count":
                    sort = Builders<MovieBson>.Sort.Descending(movie => movie.DownloadCount);
                    break;
                case "like_count":
                    sort = Builders<MovieBson>.Sort.Descending(movie => movie.LikeCount);
                    break;
                case "date_added":
                    sort = Builders<MovieBson>.Sort.Descending(movie => movie.DateUploadedUnix);
                    break;
                default:
                    sort = Builders<MovieBson>.Sort.Descending(movie => movie.DateUploadedUnix);
                    break;
            }
        }

        var filteredMovies = movies.Find(filter);
        var totalTask = filteredMovies.CountAsync();
        var moviesTask = filteredMovies.Skip((currentPage - 1) * nbMoviesPerPage).Limit(nbMoviesPerPage).Sort(sort).ToListAsync();
        await Task.WhenAll(totalTask, moviesTask);

        if (!string.IsNullOrWhiteSpace(orderBy))
        {
            switch (orderBy)
            {
                case "desc":
                    moviesTask.Result.Reverse();
                    break;
            }
        }

        return
            Json(new MovieResponse
            {
                TotalMovies = totalTask.Result,
                Movies = JsonConvert.DeserializeObject<IEnumerable<MovieJson>>(moviesTask.Result.ToJson())
            });
    }

当我使用路由 api/movies?page=1&queryTerm=TitaniC 调用控制器时,MongoDB 命令输出为:

{find({ "$or" : [{ "imdb_code" : /^TitaniC$/i }, { "title" : /^TitaniC$/i }, { "cast.name" : /^TitaniC$/i }, { "cast.imdb_code" : /^TitaniC$/i }] }).sort({ "date_uploaded_unix" : -1 }).skip(0).limit(20) )}

这看起来不错并检索了适当的文档。

但非常随机地,我从 Azure 收到 429 HTTP 错误告诉我:

'命令查找失败:消息:{"Errors":["Request rate is large"]}

但是,我调用了我的 API 一次,没有其他请求...

为什么会发生这种情况;- 当 MongoDB 无法使用索引获取查询的排序顺序时,它会在内存中对结果进行排序。如果排序操作消耗超过 32 兆字节,则会抛出上述错误。解决此问题的一种可能方法是使用 allowDiskUse 选项启用聚合管道阶段以将数据写入临时文件。结帐 My blog for details

var data = await movies.Aggregate(new AggregateOptions
        {
            AllowDiskUse = true,
        })
            .Match({})//Insert your query here
            .Skip(2)
            .Sort({ "_id", -1 } )//Insert your sort options here
            .Limit(20)
            .ToListAsync();