This solution is a little bit slower (see benchmarks at the end), but its nicer to read. It should also be more memory efficient because only the current character is buffered at the time (instead of the whole file or line).
Reading arrays is an additional feature in this reader which assumes that the size of the array always comes first as an int-value.
IParsable
is another feature, that makes it easy to implement Parse
methods for various types.
class StringSteamReader {
private StreamReader sr;
public StringSteamReader(StreamReader sr) {
this.sr = sr;
this.Separator = ' ';
}
private StringBuilder sb = new StringBuilder();
public string ReadWord() {
eol = false;
sb.Clear();
char c;
while (!sr.EndOfStream) {
c = (char)sr.Read();
if (c == Separator) break;
if (IsNewLine(c)) {
eol = true;
char nextch = (char)sr.Peek();
while (IsNewLine(nextch)) {
sr.Read(); // consume all newlines
nextch = (char)sr.Peek();
}
break;
}
sb.Append(c);
}
return sb.ToString();
}
private bool IsNewLine(char c) {
return c == '\r' || c == '\n';
}
public int ReadInt() {
return int.Parse(ReadWord());
}
public double ReadDouble() {
return double.Parse(ReadWord());
}
public bool EOF {
get { return sr.EndOfStream; }
}
public char Separator { get; set; }
bool eol;
public bool EOL {
get { return eol || sr.EndOfStream; }
}
public T ReadObject<T>() where T : IParsable, new() {
var obj = new T();
obj.Parse(this);
return obj;
}
public int[] ReadIntArray() {
int size = ReadInt();
var a = new int[size];
for (int i = 0; i < size; i++) {
a[i] = ReadInt();
}
return a;
}
public double[] ReadDoubleArray() {
int size = ReadInt();
var a = new double[size];
for (int i = 0; i < size; i++) {
a[i] = ReadDouble();
}
return a;
}
public T[] ReadObjectArray<T>() where T : IParsable, new() {
int size = ReadInt();
var a = new T[size];
for (int i = 0; i < size; i++) {
a[i] = ReadObject<T>();
}
return a;
}
internal void NextLine() {
eol = false;
}
}
interface IParsable {
void Parse(StringSteamReader r);
}
It can be used like this:
public void Parse(StringSteamReader r) {
double x = r.ReadDouble();
int y = r.ReadInt();
string z = r.ReadWord();
double[] arr = r.ReadDoubleArray();
MyParsableObject o = r.ReadObject<MyParsableObject>();
MyParsableObject [] oarr = r.ReadObjectArray<MyParsableObject>();
}
I did some benchmarking, comparing StringStreamReader
with some other approaches, already proposed (StreamReader.ReadLine
and File.ReadAllLines
). Here are the methods I used for benchmarking:
private static void Test_StringStreamReader(string filename) {
var sw = new Stopwatch();
sw.Start();
using (var sr = new StreamReader(new FileStream(filename, FileMode.Open, FileAccess.Read))) {
var r = new StringSteamReader(sr);
r.Separator = ' ';
while (!r.EOF) {
var dbls = new List<double>();
while (!r.EOF) {
dbls.Add(r.ReadDouble());
}
}
}
sw.Stop();
Console.WriteLine("elapsed: {0}", sw.Elapsed);
}
private static void Test_ReadLine(string filename) {
var sw = new Stopwatch();
sw.Start();
using (var sr = new StreamReader(new FileStream(filename, FileMode.Open, FileAccess.Read))) {
var dbls = new List<double>();
while (!sr.EndOfStream) {
string line = sr.ReadLine();
string[] bits = line.Split(' ');
foreach(string bit in bits) {
dbls.Add(double.Parse(bit));
}
}
}
sw.Stop();
Console.WriteLine("elapsed: {0}", sw.Elapsed);
}
private static void Test_ReadAllLines(string filename) {
var sw = new Stopwatch();
sw.Start();
string[] lines = System.IO.File.ReadAllLines(filename);
var dbls = new List<double>();
foreach(var line in lines) {
string[] bits = line.Split(' ');
foreach (string bit in bits) {
dbls.Add(double.Parse(bit));
}
}
sw.Stop();
Console.WriteLine("Test_ReadAllLines: {0}", sw.Elapsed);
}
I used a file with 1.000.000 lines of double values (3 values each line). File is located on a SSD disk and each test was repeated multiple times in release-mode. These are the results (on average):
Test_StringStreamReader: 00:00:01.1980975
Test_ReadLine: 00:00:00.9117553
Test_ReadAllLines: 00:00:01.1362452
So, as mentioned StringStreamReader
is a bit slower than the other approaches. For 10.000 lines, the performance is around (120ms / 95ms / 100ms).