我最近正在使用一个DateTime对象,并写了这样的东西:
DateTime dt = DateTime.Now;
dt.AddDays(1);
return dt; // still today's date! WTF?
AddDays()的智能感知文档说它在日期后添加了一天,但它并没有这样做——它实际上返回了一个添加了一天的日期,所以你必须这样写:
DateTime dt = DateTime.Now;
dt = dt.AddDays(1);
return dt; // tomorrow's date
这个问题以前已经困扰过我很多次了,所以我认为将最糟糕的c#陷阱分类会很有用。
也许不是真的抓住你,因为行为写得很清楚在MSDN中,但已经打破了我的脖子,因为我发现它相当反直觉:
Image image = System.Drawing.Image.FromFile("nice.pic");
这家伙留下了“不错”。图片“文件锁定,直到图像被处置。在我面对它的时候,我认为它会很好地加载图标,并没有意识到(一开始),我最终有几十个打开和锁定的文件!Image一直跟踪它从哪里加载文件…
如何解决这个问题?我以为只用一行就行了。我期望FromFile()有一个额外的参数,但没有,所以我写了这个…
using (Stream fs = new FileStream("nice.pic", FileMode.Open, FileAccess.Read))
{
image = System.Drawing.Image.FromStream(fs);
}
LinqToSql批处理速度随着批处理大小的平方而变慢
以下是我探索这个问题的问题(和答案)。
In a nutshell, if you try to build up too many objects in memory before calling DataContext.SubmitChanges(), you start experiencing sluggishness at a geometric rate. I have not confirmed 100% that this is the case, but it appears to me that the call to DataContext.GetChangeSet() causes the data context to perform an equivalence evaluation (.Equals()) on every single combination of 2 items in the change set, probably to make sure it's not double-inserting or causing other concurrency issues. Problem is that if you have very large batches, the number of comparisons increases proportionately with the square of n, i.e. (n^2+n)/2. 1,000 items in memory means over 500,000 comparisons... and that can take a heckuva long time.
为了避免这种情况,您必须确保对于预计有大量项目的任何批处理,您都在事务边界内完成整个工作,在创建每个项目时保存它,而不是在最后进行一次大保存。
Foreach循环变量范围!
var l = new List<Func<string>>();
var strings = new[] { "Lorem" , "ipsum", "dolor", "sit", "amet" };
foreach (var s in strings)
{
l.Add(() => s);
}
foreach (var a in l)
Console.WriteLine(a());
打印五个“amet”,而下面的例子可以正常工作
var l = new List<Func<string>>();
var strings = new[] { "Lorem" , "ipsum", "dolor", "sit", "amet" };
foreach (var s in strings)
{
var t = s;
l.Add(() => t);
}
foreach (var a in l)
Console.WriteLine(a());
DateTime.ToString(“dd / MM / yyyy”);这实际上不会总是给你dd/MM/yyyy,而是会考虑到区域设置,并根据你所在的位置替换你的日期分隔符。你可能得到dd-MM-yyyy或类似的东西。
正确的方法是使用DateTime.ToString("dd'/'MM'/'yyyy");
DateTime.ToString(“r”)应该转换为使用GMT的RFC1123。GMT距离UTC只有几分之一秒,但是“r”格式说明符不会转换为UTC,即使问题中的DateTime指定为Local。
这将导致以下gotcha(取决于您的本地时间与UTC的距离):
DateTime.Parse("Tue, 06 Sep 2011 16:35:12 GMT").ToString("r")
> "Tue, 06 Sep 2011 17:35:12 GMT"
哎呀!
不是最糟糕的,但还没被提起。工厂方法作为参数传递给System.Collections.Concurrent方法可以被多次调用,即使只使用了一个返回值。考虑到. net在线程原语中多么强烈地试图保护您不受虚假唤醒的影响,这可能会让您感到惊讶。
using System;
using System.Collections.Generic;
using System.Collections.Concurrent;
using System.Linq;
using System.Text;
using System.Threading;
using System.Threading.Tasks;
namespace ValueFactoryBehavingBadlyExample
{
class Program
{
static ConcurrentDictionary<int, int> m_Dict = new ConcurrentDictionary<int, int>();
static ManualResetEventSlim m_MRES = new ManualResetEventSlim(false);
static void Main(string[] args)
{
for (int i = 0; i < 8; ++i)
{
Task.Factory.StartNew(ThreadGate, TaskCreationOptions.LongRunning);
}
Thread.Sleep(1000);
m_MRES.Set();
Thread.Sleep(1000);
Console.WriteLine("Dictionary Size: " + m_Dict.Count);
Console.Read();
}
static void ThreadGate()
{
m_MRES.Wait();
int value = m_Dict.GetOrAdd(0, ValueFactory);
}
static int ValueFactory(int key)
{
Thread.Sleep(1000);
Console.WriteLine("Value Factory Called");
return key;
}
}
}
(可能)输出:
Value Factory Called
Value Factory Called
Value Factory Called
Value Factory Called
Dictionary Size: 0
Value Factory Called
Value Factory Called
Value Factory Called
Value Factory Called