我有一个数据库（RavenDB），它需要能够每 10 秒处理 300 个查询（全文搜索）。为了提高性能，我拆分了数据库，所以我有多个 documentStores 我的代码：
var watch = Stopwatch.StartNew();
int taskcnt = 0;
int sum = 0;
for (int i = 0; i < 11; i++)
{
Parallel.For(0, 7, new Action<int>((x) =>
{
for(int docomentStore = 0;docomentStore < 5; docomentStore++)
{
var stopWatch = Stopwatch.StartNew();
Task<IList<eBayItem>> task = new Task<IList<eBayItem>>(Database.ExecuteQuery, new Filter()
{
Store = "test" + docomentStore,
MaxPrice = 600,
MinPrice = 200,
BIN = true,
Keywords = new List<string>() { "Canon", "MP", "Black" },
ExcludedKeywords = new List<string>() { "G1", "T3" }
});
task.ContinueWith((list) => {
stopWatch.Stop();
sum += stopWatch.Elapsed.Milliseconds;
taskcnt++;
if (taskcnt == 300)
{
watch.Stop();
Console.WriteLine("Average time: " + (sum / (float)300).ToString());
Console.WriteLine("Total time: " + watch.Elapsed.ToString() + "ms");
}
});
task.Start();
}
}));
Thread.Sleep(1000);
}
- 平均查询时间：514,13 ms
- 总时间：00:01:29.9108016
我查询 ravenDB 的代码：
public static IList<eBayItem> ExecuteQuery(object Filter)
{
IList<eBayItem> items;
Filter filter = (Filter)Filter;
if (int.Parse(filter.Store.ToCharArray().Last().ToString()) > 4)
{
Console.WriteLine(filter.Store); return null;
}
using (var session = Shards[filter.Store].OpenSession())
{
var query = session.Query<eBayItem, eBayItemIndexer>().Where(y => y.Price <= filter.MaxPrice && y.Price >= filter.MinPrice);
query = filter.Keywords.ToArray()
.Aggregate(query, (q, term) =>
q.Search(xx => xx.Title, term, options: SearchOptions.And));
if (filter.ExcludedKeywords.Count > 0)
{
query = filter.ExcludedKeywords.ToArray().Aggregate(query, (q, exterm) =>
q.Search(it => it.Title, exterm, options: SearchOptions.Not));
}
items = query.ToList<eBayItem>();
}
return items;
}
以及 RavenDB 的初始化：
static Dictionary<string, EmbeddableDocumentStore> Shards = new Dictionary<string, EmbeddableDocumentStore>();
public static void Connect()
{
Shards.Add("test0", new EmbeddableDocumentStore() { DataDirectory = "test.db" });
Shards.Add("test1", new EmbeddableDocumentStore() { DataDirectory = "test1.db" });
Shards.Add("test2", new EmbeddableDocumentStore() { DataDirectory = "test2.db" });
Shards.Add("test3", new EmbeddableDocumentStore() { DataDirectory = "test3.db" });
Shards.Add("test4", new EmbeddableDocumentStore() { DataDirectory = "test4.db" });
foreach (string key in Shards.Keys)
{
EmbeddableDocumentStore store = Shards[key];
store.Initialize();
IndexCreation.CreateIndexes(typeof(eBayItemIndexer).Assembly, store);
}
}
如何优化我的代码，使我的总时间更短？把我的数据库分成 5 个不同的数据库好不好？
编辑：该程序只有 1 个 documentStore 而不是 5 个。（正如Ayende Rahien所建议的）这也是它自己的查询：
Price_Range:[* TO Dx600] AND Price_Range:[Dx200 TO NULL] AND Title:(Canon) AND Title:(MP) AND Title:(Black) -Title:(G1) -Title:(T3)