当从本地计算机上的C#代码运行DocumentDB查询时,一个简单的DocumentDB查询平均需要大约0.5秒。另一个例子,获取对文档集合的引用平均需要大约0.7秒。这是预期的吗?下面是我检查集合是否存在的代码,它非常简单 - 但有没有办法改善糟糕的性能?
// Create a new instance of the DocumentClient
var client = new DocumentClient(new Uri(EndpointUrl), AuthorizationKey);
// Get the database with the id=FamilyRegistry
var database = client.CreateDatabaseQuery().Where(db => db.Id == "FamilyRegistry").AsEnumerable().FirstOrDefault();
var stopWatch = new Stopwatch();
stopWatch.Start();
// Get the document collection with the id=FamilyCollection
var documentCollection = client.CreateDocumentCollectionQuery("dbs/"
+ database.Id).Where(c => c.Id == "FamilyCollection").AsEnumerable().FirstOrDefault();
stopWatch.Stop();
// Get the elapsed time as a TimeSpan value.
var ts = stopWatch.Elapsed;
// Format and display the TimeSpan value.
var elapsedTime = String.Format("{0:00} seconds, {1:00} milliseconds",
ts.Seconds,
ts.Milliseconds );
Console.WriteLine("Time taken to get a document collection: " + elapsedTime);
Console.ReadKey();
本地计算机上的平均输出:
Time taken to get a document collection: 0 seconds, 752 milliseconds
在我的另一段代码中,我正在进行20个小文档更新,每个大小约为400字节,大小为JSON,总共需要12秒。我只是在我的开发环境中运行,但我期待更好的性能。
答案 0 :(得分:7)
简而言之,这可以使用DocumentDB以 ~9毫秒端到端地完成。我将逐步介绍所需的更改,以及它们为何/如何影响下面的结果。
DocumentDB中的第一个查询总是需要更长的时间,因为它会进行一些设置工作(获取DocumentDB分区的物理地址)。接下来的几个请求需要更长的时间来加热连接池。后续查询将与您的网络一样快(由于SSD存储,DocumentDB中的读取延迟非常低)。
例如,如果您修改上面的代码来测量,例如10个读数而不是第一个读数,如下所示:
using (DocumentClient client = new DocumentClient(new Uri(EndpointUrl), AuthorizationKey))
{
long totalRequests = 10;
var database = client.CreateDatabaseQuery().Where(db => db.Id == "FamilyRegistry").AsEnumerable().FirstOrDefault();
Stopwatch watch = new Stopwatch();
for (int i = 0; i < totalRequests; i++)
{
watch.Start();
var documentCollection = client.CreateDocumentCollectionQuery("dbs/"+ database.Id)
.Where(c => c.Id == "FamilyCollection").AsEnumerable().FirstOrDefault();
Console.WriteLine("Finished read {0} in {1}ms ", i, watch.ElapsedMilliseconds);
watch.Reset();
}
}
Console.ReadKey();
我在Redmond的桌面上运行以下结果,针对Azure West US数据中心,即大约 50毫秒。这些数字可能因网络连接和客户端与Azure DC托管DocumentDB的距离而异:
Finished read 0 in 217ms
Finished read 1 in 46ms
Finished read 2 in 51ms
Finished read 3 in 47ms
Finished read 4 in 46ms
Finished read 5 in 93ms
Finished read 6 in 48ms
Finished read 7 in 45ms
Finished read 8 in 45ms
Finished read 9 in 51ms
接下来,我从默认的Gateway切换到Direct / TCP连接,以将延迟从两跳改为一,即将初始化代码更改为:
using (DocumentClient client = new DocumentClient(new Uri(EndpointUrl), AuthorizationKey, new ConnectionPolicy { ConnectionMode = ConnectionMode.Direct, ConnectionProtocol = Protocol.Tcp }))
现在按ID查找集合的操作在 23毫秒内完成:
Finished read 0 in 197ms
Finished read 1 in 117ms
Finished read 2 in 23ms
Finished read 3 in 23ms
Finished read 4 in 25ms
Finished read 5 in 23ms
Finished read 6 in 31ms
Finished read 7 in 23ms
Finished read 8 in 23ms
Finished read 9 in 23ms
当您在同一Azure DC中运行的Azure VM或辅助角色运行相同的结果时,该怎么办?相同的操作以约 9毫秒完成!
Finished read 0 in 140ms
Finished read 1 in 10ms
Finished read 2 in 8ms
Finished read 3 in 9ms
Finished read 4 in 9ms
Finished read 5 in 9ms
Finished read 6 in 9ms
Finished read 7 in 9ms
Finished read 8 in 10ms
Finished read 9 in 8ms
Finished read 9 in 9ms
所以,总结一下: