EXT*_*RAM 3 .net c# linq linq-to-sql
我有一个问题.如果我正在使用LinqToSql,我的程序将我的数据库加载到内存中.小例子:
//pageNumber = 1; pageSize = 100;
var result =
(
from a in db.Stats.AsEnumerable()
where (DictionaryFilter(a, sourceDictionary) && DateFilter(a, beginTime, endTime) && ErrorFilter(a, WarnLevel))
select a
);
var size = result.Count(); // size = 1007
var resultList = result.Skip((pageNumber-1)*pageSize).Take(pageSize).ToList();
return resultList;
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DictionaryFilter,DateFilter和ErrorFilter是过滤我的数据库的函数.在此之后我的程序使用~250Mb的Ram.如果我不使用:
var size = result.Count();
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我的程序使用~120MB Ram.在使用此代码之前,我的程序使用~35MB Ram.
如何使用count并将函数加载到内存中的所有数据库?
static bool DateFilter(Stat table, DateTime begin, DateTime end)
{
if ((table.RecordTime >= begin.ToFileTime()) && (table.RecordTime <= end.ToFileTime()))
{
return true;
}
return false;
}
static bool ErrorFilter(Stat table, bool[] WarnLevel)
{
if (WarnLevel[table.WarnLevel]) return true;
else return false;
}
static bool DictionaryFilter(Stat table, Dictionary<GetSourcesNameResult, bool> sourceDictionary)
{
foreach (var word in sourceDictionary)
{
if (table.SourceName == word.Key.SourceName)
{
return word.Value;
}
}
//
return false;
}
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简单:不要使用.AsEnumerable().这意味着"切换到LINQ到对象".在此之前,db.Stats是IQueryable<T>,这是一个组合的 API,并会尽你所期望的.
但是,这意味着你不能使用像DictionaryFilter和那样的C#方法DateFilter,而必须用ExpressionAPI 来组合.如果你能说明他们的所作所为,我可以进一步提出建议.
通过编辑,可以调整过滤,例如:
static IQueryable<Stat> ErrorFilter(IQueryable<Stat> source, bool[] WarnLevel) {
// extract the enabled indices (match to values)
int[] levels = WarnLevel.Select((val, index) => new { val, index })
.Where(pair => pair.val)
.Select(pair => pair.index).ToArray();
switch(levels.Length)
{
case 0:
return source.Where(x => false);
case 1:
int level = levels[0];
return source.Where(x => x.WarnLevel == level);
case 2:
int level0 = levels[0], level1 = levels[1];
return source.Where(
x => x.WarnLevel == level0 || x.WarnLevel == level1);
default:
return source.Where(x => levels.Contains(x.WarnLevel));
}
}
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日期过滤器更简单:
static IQueryable<Stat> DateFilter(IQueryable<Stat> source,
DateTime begin, DateTime end)
{
var from = begin.ToFileTime(), to = end.ToFileTime();
return source.Where(table => table.RecordTime >= from
&& table.RecordTime <= to);
}
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字典有点像水平:
static IQueryable<Stat> DictionaryFilter(IQueryable<Stat> source,
Dictionary<GetSourcesNameResult, bool> sourceDictionary)
{
var words = (from word in sourceDictionary
where word.Value
select word.Key.SourceName).ToArray();
switch (words.Length)
{
case 0:
return source.Where(x => false);
case 1:
string word = words[0];
return source.Where(x => x.SourceName == word);
case 2:
string word0 = words[0], word1 = words[1];
return source.Where(
x => x.SourceName == word0 || x.SourceName == word1);
default:
return source.Where(x => words.Contains(x.SourceName));
}
}
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和:
IQueryable<Stat> result = db.Stats;
result = ErrorFilter(result, WarnLevel);
result = DateFiter(result, beginTime, endTime);
result = DictionaryFilter(result, sourceDictionary);
// etc - note we're *composing* a filter here
var size = result.Count(); // size = 1007
var resultList = result.Skip((pageNumber-1)*pageSize).Take(pageSize).ToList();
return resultList;
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关键是我们现在正在使用IQueryable<T>和Expression排他.
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