MeshWeaver.DataStructures 2.5.0

MeshWeaver.DataStructures

MeshWeaver.DataStructures is a lightweight and efficient library for managing tabular data sets. It provides a streamlined alternative to ADO.NET DataSet with reduced overhead, improved performance, and lower memory consumption.

Overview

The library provides a robust framework for:

• Importing and managing tabular data
• Efficient in-memory data representation
• Serialization and deserialization of data sets
• Type-safe data access and manipulation
• Integration with ADO.NET DataSets

Key Features

Efficient Data Management

• Lightweight data structures optimized for performance
• Low memory footprint compared to ADO.NET DataSet
• Fast data access and manipulation operations
• Support for large datasets

Flexible Data Model

• Tables with typed columns
• Row-based data access
• Column format specifications
• Support for null values
• Dynamic table and column creation

Data Import/Export

• XML serialization support
• JSON serialization support
• ADO.NET DataSet conversion
• Streaming data import/export

Usage Examples

Creating a DataSet

// Create a new dataset
var dataSet = new DataSet("MyDataSet");

// Add a table
var table = dataSet.Tables.Add("Employees");

// Define columns
table.Columns.Add("Id", typeof(int));
table.Columns.Add("Name", typeof(string));
table.Columns.Add("Salary", typeof(decimal));

// Add rows
var row = table.NewRow();
row["Id"] = 1;
row["Name"] = "John Doe";
row["Salary"] = 50000m;
table.Rows.Add(row);

Working with Data

// Access data by column name
foreach (var row in table.Rows)
{
 var name = row["Name"].ToString();
 var salary = row.Field<decimal>("Salary");
 // Process data...
}

// Access data by column index
foreach (var row in table.Rows)
{
 var id = row[0];
 var name = row[1];
 // Process data...
}

Serialization

// JSON serialization
var jsonSerializer = DataSetJsonSerializer.Instance;
var json = jsonSerializer.Serialize(dataSet, indent: true);

// XML serialization
var xmlSerializer = DataSetXmlSerializer.Instance;
var xml = xmlSerializer.Serialize(dataSet);

ADO.NET Integration

// Convert from ADO.NET DataSet
var factory = new DataSetFactory();
var adoDataSet = GetAdoNetDataSet(); // Your ADO.NET DataSet
var dataSet = factory.ConvertFromAdoNet(adoDataSet);

// Convert to ADO.NET DataSet
var adoDataSet = factory.ConvertToAdoNet(dataSet);

Core Components

IDataSet

• Main container for tables
• Manages collection of tables
• Supports merging datasets
• XML/JSON serialization support

IDataTable

• Represents a single table
• Manages columns and rows
• Provides row creation and management
• Supports enumeration of rows

IDataColumn

• Defines column metadata
• Specifies data type
• Supports column formatting
• Manages column indexing

IDataRow

• Represents a single row of data
• Provides typed access to values
• Supports both index and name-based access
• Includes value conversion helpers

Best Practices

1. Use strongly-typed column definitions when possible
2. Leverage the Field<T> method for type-safe data access
3. Consider memory usage for large datasets
4. Use appropriate serialization format based on needs
5. Implement proper error handling for data conversions

Performance Considerations

• Use indexed access when possible
• Batch row additions for better performance
• Consider using bulk operations for large datasets
• Cache column indexes for repeated access
• Use appropriate data types for columns

Integration

The library integrates seamlessly with:

• ADO.NET DataSets
• XML processing pipelines
• JSON-based systems
• Custom data import/export solutions

Features

• Data models and entities for DataStructures
• Repository implementations
• Data access patterns
• Query capabilities
• Data transformation utilities
• Serialization support
• Integration with core data systems

Usage

// Configure data services
services.AddMeshWeaverDataStructuresServices(options => {
 options.ConnectionString = Configuration.GetConnectionString("DefaultConnection");
});

// Use data repositories
public class DataStructuresService
{
 private readonly IDataStructuresRepository _repository;
 
 public DataStructuresService(IDataStructuresRepository repository)
 {
 _repository = repository;
 }
 
 public async Task<DataStructures> GetByIdAsync(string id)
 {
 return await _repository.GetByIdAsync(id);
 }
}

Data Models

• Domain-specific entities
• Data transfer objects
• Validation rules
• Data relationships

Integration

• Works with MeshWeaver.Data core
• Plugs into MeshWeaver data pipeline
• Supports MeshWeaver visualization components

Related Projects

• - Core data functionality
• - Data contracts

See Also

Refer to the for more information about the overall project.