好的,让我清楚地解释一下我想要实现的目标
它将是一个包含以下数据的对象 - 如sql server table
BigInt parameter1
BigInt parameter2
string parameter3
这些parameter1和parameter2都将组成索引(就像sql-server表中的主键一样)
因此,此对象将具有类似于上述的500000条记录 我将从这个对象快速查找,如
return parameter3 where parameter1 <= value and value <= parameter2
可以使用什么?
到目前为止,我尝试了这些并且它们很慢
DataView.RowFilter = super slow
static Dictionary<Int64, KeyValuePair<Int64, string>> = slower than database query
Database query = where parameter1 & parameter2 composes primary key = slow since i need to make over 500000 query.
我还在stackoverflow上搜索了很多问题,但没有一个问题在整数键的运算符之间。它们都是多个字符串键。
C#4.0
答案 0 :(得分:1)
我认为[范围]不会重叠。
这大大简化了问题:您可以对列表进行排序,并执行一维二分搜索,而不是执行二维搜索:
var data = new List<Tuple<long,long,string>>(TotalCount);
var cmp = new TupleComparer();
data.Sort(cmp);
long item = ... // The item to be searched
var pos = data.BinarySearch(Tuple.Create(item, long.MinValue, String.Empty), cmp);
// It appears that your data has only non-empty strings, so it is guaranteed that
// pos is going to be negative, because Item3, the last tie-breaker, will be smaller
// than anything that you may have in the table
pos = ~pos;
if (pos != data.Count && data[pos].Item1 <= item && data[pos].Item2 >= item) {
Console.WriteLine("Found: '{0}'", data[pos].Item3);
} else {
Console.WriteLine("Not found");
}
以下是TupleComparer
类:
class TupleComparer : IComparer<Tuple<long,long,string>> {
public int Compare(Tuple<long,long,string> x, Tuple<long,long,string> y) {
var res = x.Item1.CompareTo(y.Item1);
if (res != 0) return res;
res = x.Item2.CompareTo(y.Item2);
return (res != 0) ? res : String.CompareOrdinal(x.Item3, y.Item3);
}
}
答案 1 :(得分:1)
快速而脏的草图:
public class GeoIp
{
private class GeoIpRecord
{
public long StartIp;
public long EndIp;
public string Iso;
}
private class GeoIpRecordComparer: IComparer<GeoIpRecord>
{
public int Compare(GeoIpRecord x, GeoIpRecord y)
{
return x.StartIp.CompareTo(y.StartIp);
}
}
private List<GeoIpRecord> geoIp;
private IComparer<GeoIpRecord> comparer;
public GeoIp()
{
this.geoIp = new List<GeoIpRecord>(500000)
{
new GeoIpRecord { StartIp = 1, EndIp = 2, Iso = "One" },
new GeoIpRecord { StartIp = 3, EndIp = 5, Iso = "Three" },
new GeoIpRecord { StartIp = 6, EndIp = 6, Iso = "Six" },
new GeoIpRecord { StartIp = 7, EndIp = 10, Iso = "Seven" },
new GeoIpRecord { StartIp = 15, EndIp = 16, Iso = "Fifteen" },
};
this.comparer = new GeoIpRecordComparer();
}
public string GetIso(long ipValue)
{
int index = this.geoIp.BinarySearch(new GeoIpRecord() { StartIp = ipValue }, this.comparer);
if (index < 0)
{
index = ~index - 1;
if (index < 0)
{
return string.Empty;
}
}
GeoIpRecord record = this.geoIp[index];
if (record.EndIp >= ipValue)
{
return record.Iso;
}
else
{
return string.Empty;
}
}
}
确认解决方案的代码:
GeoIp geoIp = new GeoIp();
var iso1 = geoIp.GetIso(1); // One
var iso2 = geoIp.GetIso(2); // One
var iso3 = geoIp.GetIso(3); // Three
var iso4 = geoIp.GetIso(4); // Three
var iso5 = geoIp.GetIso(5); // Three
var iso6 = geoIp.GetIso(6); // Six
var iso7 = geoIp.GetIso(7); // Seven
var iso11 = geoIp.GetIso(11); //
var iso15 = geoIp.GetIso(15); // Fifteen
var iso17 = geoIp.GetIso(17); //
列表必须填写有序数据。