Bcsv 1.5.7
dotnet add package Bcsv --version 1.5.7
NuGet\Install-Package Bcsv -Version 1.5.7
<PackageReference Include="Bcsv" Version="1.5.7" />
<PackageVersion Include="Bcsv" Version="1.5.7" />
<PackageReference Include="Bcsv" />
paket add Bcsv --version 1.5.7
#r "nuget: Bcsv, 1.5.7"
#:package Bcsv@1.5.7
#addin nuget:?package=Bcsv&version=1.5.7
#tool nuget:?package=Bcsv&version=1.5.7
Bcsv — C# Bindings for Binary CSV
Fast, compact time-series storage with streaming row-by-row I/O, columnar bulk access, Sampler filtering, and CSV interop.
Bcsv provides C# bindings for the BCSV library via P/Invoke to the native bcsv_c_api shared library. The NuGet package includes pre-built native binaries for Windows x64, Linux x64/ARM64, and macOS x64/ARM64.
Features
- Sequential & Random Access I/O — stream rows or jump to any row by index in O(1)
- Columnar Bulk I/O — read/write entire columns at once with pinned arrays (
BcsvColumns) - Sampler — bytecode VM for expression-based row filtering and column projection (
BcsvSampler) - CSV Interop — read/write plain CSV files through the same row API (
BcsvCsvReader/BcsvCsvWriter) - Typed Accessors —
GetInt32(),GetDouble(),GetString(), genericGet<T>(), vectorizedGetDoubles(), etc. - LZ4 Compression — transparent compression with configurable level
- Zero-Order Hold Encoding — skip unchanged rows for slowly-varying time-series
- xxHash64 Checksums — data integrity verification
- Crash Recovery — recoverable streaming format with per-packet checksums
- Cross-platform — Windows x64, Linux x64/ARM64, macOS x64/ARM64
Installation
dotnet add package Bcsv
Quick Start
using Bcsv;
// Define a schema
var layout = new BcsvLayout();
layout.AddColumn("timestamp", ColumnType.Double);
layout.AddColumn("temperature", ColumnType.Float);
layout.AddColumn("label", ColumnType.String);
// Write rows
using var writer = new BcsvWriter(layout);
writer.Open("data.bcsv");
var row = writer.NewRow();
row.Set(0, 1.0);
row.Set(1, 23.5f);
row.Set(2, "sensor-A");
writer.WriteRow(row);
writer.Close();
// Read rows
using var reader = new BcsvReader("data.bcsv");
while (reader.ReadNext())
{
double ts = reader.Row.GetDouble(0);
float temp = reader.Row.GetFloat(1);
string label = reader.Row.GetString(2);
}
Random Access
Read any row by index in O(1) time:
using Bcsv;
using var reader = new BcsvReader();
reader.Open("data.bcsv");
// Jump directly to row 1000
if (reader.Read(1000))
{
double ts = reader.Row.GetDouble(0);
Console.WriteLine($"Row 1000 timestamp: {ts}");
}
Console.WriteLine($"Total rows: {reader.RowCount}");
Columnar Bulk I/O
For high-throughput scenarios, use BcsvColumns to read/write entire columns at once with pinned arrays and a single P/Invoke call:
using Bcsv;
// Write columnar data
double[] timestamps = { 1.0, 2.0, 3.0 };
float[] temperatures = { 20.1f, 21.3f, 19.8f };
string[] labels = { "a", "b", "c" };
BcsvColumns.Write("data.bcsv", layout,
new object[] { timestamps, temperatures, labels });
// Read columnar data
var columns = BcsvColumns.Read("data.bcsv");
Sampler (Filter & Project)
Apply expression-based filtering and column projection over a reader, powered by a bytecode VM:
using Bcsv;
using var reader = new BcsvReader();
reader.Open("data.bcsv");
using var sampler = new BcsvSampler(reader);
// Filter: only rows where temperature > 25
sampler.SetConditional("X[0][1] > 25.0");
// Project: timestamp and temperature only
sampler.SetSelection("X[0][0], X[0][1]");
while (sampler.Next())
{
double ts = sampler.Row.GetDouble(0);
double temp = sampler.Row.GetDouble(1);
Console.WriteLine($"{ts}: {temp}°C");
}
CSV Interop
Read and write plain CSV files through the same row API:
using Bcsv;
var layout = new BcsvLayout();
layout.AddColumn("id", ColumnType.Int32);
layout.AddColumn("name", ColumnType.String);
layout.AddColumn("value", ColumnType.Double);
// Read CSV
using var csvReader = new BcsvCsvReader(layout, delimiter: ',', decimalSep: '.');
csvReader.Open("input.csv", hasHeader: true);
while (csvReader.ReadNext())
{
int id = csvReader.Row.GetInt32(0);
string name = csvReader.Row.GetString(1);
}
// Write CSV
using var csvWriter = new BcsvCsvWriter(layout, delimiter: ',', decimalSep: '.');
csvWriter.Open("output.csv");
var row = csvWriter.Row;
row.SetInt32(0, 42);
row.SetString(1, "Alice");
row.SetDouble(2, 3.14);
csvWriter.WriteRow();
API Reference
| Class | Purpose |
|---|---|
BcsvLayout |
Define column schema (name, type) |
BcsvWriter |
Sequential row-by-row writing |
BcsvReader |
Sequential and random-access reading |
BcsvRow |
Typed accessors (Get<T>/Set<T>, GetInt32/SetInt32, vectorized arrays) |
BcsvSampler |
Expression-based filter/project over a reader |
BcsvCsvReader |
Read CSV files through the BCSV row API |
BcsvCsvWriter |
Write CSV files through the BCSV row API |
BcsvColumns |
Columnar bulk read/write with pinned arrays |
Supported Platforms
| Runtime ID | OS | Architecture |
|---|---|---|
| win-x64 | Windows 10+ | x86-64 |
| linux-x64 | Linux (glibc) | x86-64 |
| linux-arm64 | Linux (glibc) | ARM64 |
| osx-x64 | macOS 13.3+ | x86-64 |
| osx-arm64 | macOS 13.3+ | ARM64 |
Requirements
- .NET 8.0 or .NET 10.0
- Native library is bundled in the NuGet package — no separate installation needed
Documentation
License
MIT — see LICENSE
| Product | Versions Compatible and additional computed target framework versions. |
|---|---|
| .NET | net8.0 is compatible. net8.0-android was computed. net8.0-browser was computed. net8.0-ios was computed. net8.0-maccatalyst was computed. net8.0-macos was computed. net8.0-tvos was computed. net8.0-windows was computed. net9.0 was computed. net9.0-android was computed. net9.0-browser was computed. net9.0-ios was computed. net9.0-maccatalyst was computed. net9.0-macos was computed. net9.0-tvos was computed. net9.0-windows was computed. net10.0 is compatible. net10.0-android was computed. net10.0-browser was computed. net10.0-ios was computed. net10.0-maccatalyst was computed. net10.0-macos was computed. net10.0-tvos was computed. net10.0-windows was computed. |
-
net10.0
- No dependencies.
-
net8.0
- No dependencies.
NuGet packages
This package is not used by any NuGet packages.
GitHub repositories
This package is not used by any popular GitHub repositories.