DevToys.PocoCsv.Core 2.0.5

DevToys.PocoCsv.Core

One of the fastest csv reader deserialzer available.

DevToys.PocoCsv.Core is a class library to read and write to Csv. It contains CsvStreamReader, CsvStreamWriter and Serialization classes CsvReader<T> and CsvWriter<T>.

Read/write serialize/deserialize data to and from Csv.

• RFC 4180 compliant.
• Auto separator detection.
• Auto line feed/break detection.
• Sequential read with ReadAsEnumerable().
• Csv schema Retrieval with CsvUtils.GetCsvSchema().
• DataTable import and export.
• Deserialiser / serializer.
• Stream reader / writer.

CsvStreamReader

    string file = "C:\Temp\data.csv";
    using (CsvStreamReader _reader = new CsvStreamReader(file))
    {
        _reader.Separator = ',';
        while (!_reader.EndOfStream)
        {
            string[] _values = _reader.ReadCsvLine();
        }
    }

or

    string file = "C:\Temp\data.csv";
    using (CsvStreamReader _reader = new CsvStreamReader(file))
    {
        _reader.Separator = ',';
        foreach (string[] items in _reader.ReadAsEnumerable())
        {
            
        }
    }

CsvStreamWriter

    string file = @"D:\Temp\test.csv";
    using (CsvStreamWriter _writer = new CsvStreamWriter(file))
    {
        var _line = new string[] { "Row 1", "Row A,A", "Row 3", "Row B" };
        _writer.WriteCsvLine(_line);
    }

CsvReader<T>

this reader is faster then CsvStreamReader, it is optamized to deserialize the rows to objects.

    public class Data
    {
        [Column(Index = 0)]
        public string Column1 { get; set; }

        [Column(Index = 1)]
        public string Column2 { get; set; }

        [Column(Index = 2)]
        public string Column3 { get; set; }

        [Column(Index = 5)]
        public string Column5 { get; set; }
    }
    
    string file = @"D:\Temp\data.csv";

    using (CsvReader<Data> _reader = new(file) { Separator = ',' })
    {        
        _reader.Culture = CultureInfo.GetCultureInfo("en-us") ;
        _reader.Open();
        _reader.SkipHeader();
        var _data = _reader.ReadAsEnumerable().Where(p => p.Column1.Contains("16"));
        var _materialized = _data.ToList();
    }    

CsvWriter<T>

this writer is faster then CsvStreamWriter, it is optamized to serialize the objects to rows.

    public class Data
    {
        [Column(Index = 0)]
        public string Column1 { get; set; }

        [Column(Index = 1)]
        public string Column2 { get; set; }

        [Column(Index = 2)]
        public string Column3 { get; set; }

        [Column(Index = 5)]
        public string Column5 { get; set; }
    }


    private IEnumerable<CsvSimple> LargeData()
    {
        for (int ii = 0; ii < 10000000; ii++)
        {
            Data _line = new()
            {
                Column1 = "bij",
                Column2 = "100",
                Column3 = "test",
                Column5 = $"{ii}",
                
            };
            yield return _line;
        }
    }
    
    
    string file = @"D:\largedata.csv";
    using (CsvWriter<CsvSimple> _writer = new(file) { Separator = ',', Append = true })
    {
        _writer.Culture = CultureInfo.GetCultureInfo("en-us");
        _writer.Open();
        _writer.Write(LargeData());
    }
      

Methods / Properties:

ColumnAttribute

The column attribute defines the properties to be serialized or deserialized.

CustomParserType

CustomParserType allows the Reader<T> and Writer<T> to use a custom parsing for a specific field.

    public sealed class ParseBoolean : ICustomCsvParse<bool?>
    {
        // for CsvReader
        public bool? Read(StringBuilder value)
        {
            switch (value.ToString().ToLower())
            {
                case "on":
                case "true":
                case "yes":
                case "1":
                    return true;
                case "off":
                case "false":
                case "no":
                case "0":
                    return false;
            }
            return null;
        }

        // for CsvWriter
        public string Write(bool? value)
        {
            if (value.HasValue)
            {
                if (value == true)
                {
                    return "1";
                }
                return "0";
            }
            return string.Empty;
        }
    }

    public class ParsePrice : ICustomCsvParse<Decimal>
    {
        private CultureInfo _culture;

        public ParseDecimal()
        {
            _culture = CultureInfo.GetCultureInfo("en-us");
        }

        public Decimal Read(StringBuilder value) => Decimal.Parse(value.ToString(), _culture);

        public string Write(Decimal value) => value.ToString(_culture);
    }


    public sealed class CsvPreParseTestObject
    {
        [Column(Index = 0, CustomParserType = typeof(ParseBoolean) )]
        public Boolean? IsOk { get; set; }

        [Column(Index = 1)]
        public string Name { get; set; }

        [Column(Index = 3, CustomParserType = typeof(ParsePrice))]
        public Decimal Price { get; set; }
    }


    using (var _reader = new CsvReader<CsvPreParseTestObject>(_file))
    {
        _reader.Open();
        _reader.Skip(); // Slip header.
        var _rows = _reader.ReadAsEnumerable().ToArray(); // Materialize.
    }

Custom Parsers will run as singleton per specified column in the specific Reader<T>.

CsvAttribute

the CsvAttribute can be set at defaults for CustomParserType, these CustomParserTypes will be applied to all properties of that specific type.
until they are overruled at property level.

    public class Parsestring : ICustomCsvParse<string>
    {
        public string Read(StringBuilder value)
        {
            return value.ToString();
        }
        public string Write(string value)
        {
            return value;
        }
    }

    [Csv( DefaultCustomParserTypeString = typeof(Parsestring))]
    public class CsvAllTypes
    {
        [Column(Index = 0, OutputFormat = "", OutputNullValue = "")]
        public string _stringValue { get; set; }

        [Column(Index = 35, OutputFormat = "", OutputNullValue = "")]
        public string _stringValue2 { get; set; }

        [Column(Index = 1, CustomParserType = typeof(ParseGuid), OutputFormat = "", OutputNullValue = "")]
        public Guid _GuidValue { get; set; }
   }

Other Examples

    public class Data
    {
        [Column(Index = 0)]
        public string Collumn1 { get; set; }
        
        [Column(Index = 1)]
        public string Collumn2 { get; set; }
        
        [Column(Index = 2, Header = "Test" )]
        public byte[] Collumn3 { get; set; }

        [Column(Index = 3)]
        public DateTime TestDateTime { get; set; }
        
        [Column(Index = 4)]
        public DateTime? TestDateTimeNull { get; set; }

        [Column(Index = 5)]
        public Int32 TestInt { get; set; }
        
        [Column(Index = 6, OutputNullValue = "[NULL]")]
        public Int32? TestIntNull { get; set; }
    }

 
    private IEnumerable<Data> GetTestData()
    {
        yield return new Data
        {
            Collumn1 = "01", 
            Collumn2 = "AA",
            Collumn3 = new byte[3] { 2, 4, 6 },
            TestDateTime = DateTime.Now,
            TestDateTimeNull = DateTime.Now,
            TestInt = 100,
            TestIntNull = 200
        };
        yield return new Data
        {
            Collumn1 = "01",
            Collumn2 = "AA",
            Collumn3 = new byte[3] { 2, 4, 6 },
            TestDateTime = DateTime.Now,
            TestDateTimeNull = DateTime.Now,
            TestInt = 100,
            TestIntNull = 200
        };
        yield return new Data
        {
            Collumn1 = "04",
            Collumn2 = "BB",
            Collumn3 = new byte[3] { 8, 9, 10 },
            TestDateTime = DateTime.Now,
            TestDateTimeNull = null,
            TestInt = 300,
            TestIntNull = null
        };
    }

    public static string StreamToString(Stream stream)
    {
        using (StreamReader reader = new StreamReader(stream, Encoding.UTF8))
        {
            stream.Position = 0;
            return reader.ReadToEnd();
        }
    }

    List<Data> _result = new List<Data>();

    using (MemoryStream _stream = new MemoryStream())
    {
        using (CsvWriter<Data> _csvWriter = new CsvWriter<Data>(_stream))
        using (CsvReader<Data> _csvReader = new CsvReader<Data>(_stream))
        {
            _csvWriter.Separator = ';';
            _csvWriter.Open();
            _csvWriter.WriteHeader();
            _csvWriter.Write(GetTestData());

            _csvReader.Open();
            _csvReader.DetectSeparator(); // Auto detect separator.
            _csvReader.Skip(); // Skip header. 
            _result = _csvReader.ReadAsEnumerable().Where(p => p.Collumn2 == "AA").ToList();
        }
    }

    string _result;

    using (MemoryStream _stream = new MemoryStream())
    {
        using (CsvWriter<Data> _csvWriter = new CsvWriter<Data>(_stream))
        {
            _csvWriter.Separator = ',';
            _csvWriter.Open();
            _csvWriter.WriteHeader();
            _csvWriter.Write(GetTestData());

            _result = StreamToString(_stream);
        }
    }    

Sampling only a few rows without reading entire csv.

    List<CsvSimple> _result1;
    List<CsvSimple> _result2;

    string file = @"D:\largedata.csv";
    _w.Start();

    using (CsvReader<CsvSimple> _reader = new CsvReader<CsvSimple>(file))
    {
        _reader.Open();

        _reader.Skip(); // skip the Header row.

        // Materializes 20 records but returns 10.
        _result1 = _reader.ReadAsEnumerable().Skip(10).Take(10).ToList(); 
        
        // Materialize only 10 records.
        _reader.Skip(10);
        _result1 = _reader.ReadAsEnumerable().Take(10).ToList();

        // Take last 10 records. Without serializing everything before it.
        _result1 = _reader.Last(10).ToList();
    }

Mind you on the fact that Skip and Take andvances the reader to the next position.
executing another _reader.ReadAsEnumerable().Where(p ⇒ p...).ToList() will Query from position 21.

Use MoveToStart() to move the reader to the starting position.

_reader.Skip() is different then _reader.ReadAsEnumerable().Skip() as the first does not materialize to T and is faster.

DataTable Import / Export

    // Import
    var _file = @"C:\data.csv";
    var _table = new DataTable();
    _table.ImportCsv(_file, ',', true);

    // Export
    _file = @"C:\data2.csv";
    _table.ExportCsv(_file, ',');