CSharpDB.Pipelines 2.6.0

CSharpDB.Pipelines

Package contracts and runtime foundation for CSharpDB ETL pipelines.

Overview

CSharpDB.Pipelines defines portable pipeline packages and a small orchestration runtime for batch ETL work. A pipeline package describes the source, transformations, destination, execution options, and optional incremental state. The built-in runtime can validate packages, serialize them to JSON, execute them in batches, capture checkpoints, and report rejects and run metrics.

Current boundary:

• Built-in runtime components currently support CSV and JSON file sources/destinations
• Built-in transforms support Select, Rename, Cast, Filter, Derive, and Deduplicate
• CSharpDB table sources/destinations and SQL query sources are modeled in the contracts but are not implemented by DefaultPipelineComponentFactory yet

Features

• Pipeline package model: strongly typed source, transform, destination, and execution settings
• Validation: schema-level validation before execution
• Serialization: save/load pipeline packages as JSON
• Runtime orchestration: Validate, DryRun, Run, and Resume modes
• Built-in connectors: CSV and JSON file readers/writers
• Built-in transforms: select, rename, cast, filter, derive, deduplicate
• Checkpointing hooks: pluggable checkpoint store and run logger abstractions
• Batch metrics: rows read/written/rejected plus batch counts

Usage

End-to-End Example

using CSharpDB.Pipelines.Models;
using CSharpDB.Pipelines.Runtime;
using CSharpDB.Pipelines.Runtime.BuiltIns;
using CSharpDB.Pipelines.Serialization;
using CSharpDB.Pipelines.Validation;
using CSharpDB.Primitives;

Directory.CreateDirectory("data");

await File.WriteAllLinesAsync("data/customers.csv",
[
    "id,name,status",
    "1,Alice,active",
    "1,Alice,active",
    "2,Bob,inactive",
    "3,Carol,active",
]);

var package = new PipelinePackageDefinition
{
    Name = "customers-csv-to-json",
    Version = "1.0.0",
    Description = "Import customers from CSV, clean them, and emit JSON.",
    Source = new PipelineSourceDefinition
    {
        Kind = PipelineSourceKind.CsvFile,
        Path = "data/customers.csv",
        HasHeaderRow = true,
    },
    Transforms =
    [
        new PipelineTransformDefinition
        {
            Kind = PipelineTransformKind.Select,
            SelectColumns = ["id", "name", "status"],
        },
        new PipelineTransformDefinition
        {
            Kind = PipelineTransformKind.Rename,
            RenameMappings =
            [
                new PipelineRenameMapping { Source = "name", Target = "full_name" },
            ],
        },
        new PipelineTransformDefinition
        {
            Kind = PipelineTransformKind.Cast,
            CastMappings =
            [
                new PipelineCastMapping { Column = "id", TargetType = DbType.Integer },
            ],
        },
        new PipelineTransformDefinition
        {
            Kind = PipelineTransformKind.Filter,
            FilterExpression = "status == 'active'",
        },
        new PipelineTransformDefinition
        {
            Kind = PipelineTransformKind.Derive,
            DerivedColumns =
            [
                new PipelineDerivedColumn { Name = "import_source", Expression = "'csv'" },
            ],
        },
        new PipelineTransformDefinition
        {
            Kind = PipelineTransformKind.Deduplicate,
            DeduplicateKeys = ["id"],
        },
    ],
    Destination = new PipelineDestinationDefinition
    {
        Kind = PipelineDestinationKind.JsonFile,
        Path = "data/customers.cleaned.json",
    },
    Options = new PipelineExecutionOptions
    {
        BatchSize = 2,
        CheckpointInterval = 1,
        ErrorMode = PipelineErrorMode.FailFast,
    },
};

PipelineValidationResult validation = PipelinePackageValidator.Validate(package);
if (!validation.IsValid)
{
    throw new InvalidOperationException(string.Join(
        Environment.NewLine,
        validation.Errors.Select(error => $"{error.Path}: {error.Message}")));
}

await PipelinePackageSerializer.SaveToFileAsync(package, "data/customers.pipeline.json");
PipelinePackageDefinition loadedPackage =
    await PipelinePackageSerializer.LoadFromFileAsync("data/customers.pipeline.json");

var orchestrator = new PipelineOrchestrator(
    new DefaultPipelineComponentFactory(),
    new NullPipelineCheckpointStore(),
    new NullPipelineRunLogger());

PipelineRunResult result = await orchestrator.ExecuteAsync(new PipelineRunRequest
{
    Package = loadedPackage,
    Mode = PipelineExecutionMode.Run,
});

Console.WriteLine(
    $"{result.Status}: {result.Metrics.RowsRead} read, " +
    $"{result.Metrics.RowsWritten} written, " +
    $"{result.Metrics.RowsRejected} rejected");

string outputJson = await File.ReadAllTextAsync("data/customers.cleaned.json");
Console.WriteLine(outputJson);

The output file contains the active customers only, with duplicate IDs removed:

[
  {
    "id": 1,
    "status": "active",
    "full_name": "Alice",
    "import_source": "csv"
  },
  {
    "id": 3,
    "status": "active",
    "full_name": "Carol",
    "import_source": "csv"
  }
]

Execution Modes

• Validate: validate the package only, without creating components
• DryRun: open the source and run transforms, but skip destination writes
• Run: execute the full pipeline and persist checkpoints
• Resume: continue a previous run from the checkpoint returned by your IPipelineCheckpointStore

Notes

• DefaultPipelineComponentFactory is the ready-to-run built-in factory for file pipelines
• Use NullPipelineCheckpointStore and NullPipelineRunLogger when you want a minimal in-process setup
• Relative source file paths are searched from the current directory and app base directory; relative output paths are written relative to the current directory
• Derive expressions are intentionally simple today: use a source column name or a literal such as 'csv', 123, true, or null

Installation

dotnet add package CSharpDB.Pipelines

For the recommended all-in-one package:

dotnet add package CSharpDB

Dependencies

• CSharpDB.Primitives - shared type system used by cast mappings and pipeline contracts

Related Packages

License

MIT - see LICENSE for details.