CsvHelper

CsvHelper, डेटा को कस्टम क्लास ऑब्जेक्ट्स में मैप करके कॉमा-सेपरेटेड वैल्यू (CSV) फ़ाइलों को पढ़ने और लिखने के लिए एक लाइब्रेरी है। यह एक पार्सिंग लाइब्रेरी और डेटा मैपर के रूप में काम करती है जो फ्लैट-फ़ाइल टेक्स्ट को स्ट्रक्चर्ड डेटा ऑब्जेक्ट्स में बदलती है और आंतरिक डेटा सेट्स को मानक CSV फ़ाइलों में सीरियलाइज़ करती है। प्रोजेक्ट एक ऐसे पार्सर के माध्यम से मेमोरी दक्षता पर जोर देता है जो रिसोर्स खपत को ऑप्टिमाइज़ करता है। यह दोहराव वाले मूल्यों को स्टोर करने के लिए फ़ील्ड वैल्यू कैशिंग और इंटरन्ड स्ट्रिंग कैश का उपयोग करता है, जो बड़े डेटासेट्स को प्रोसेस करते समय मेमोरी ओवरहेड को कम करता है। लाइब्रेरी एक कॉन्फ़िगरेशन-ड्रिवन पार्सिंग इंजन प्रदान करती है जो विभिन्न डेलिमिटर्स और एस्केप कैरेक्टर्स को सपोर्ट करती है। यह एट्रिब्यूट-आधारित मैपिंग और रिफ्लेक्शन-आधारित ऑब्जेक्ट इंस्टेंटिएशन का उपयोग करके CSV कॉलम्स और क्लास प्रॉपर्टीज़ के बीच संबंधों को प्रबंधित करती है।

Features

CSV Parsing - Provides a robust engine for parsing comma-separated values into structured data according to standard specifications.
Stream-Based Parsing - Processes large files record-by-record using a streaming approach to minimize memory overhead.
CSV Data Exports - Transforms internal application data and class objects into standard CSV files for external export.
CSV Data Mappers - Provides a system for linking CSV columns to application properties using configurable attributes.
CSV File Processing - Converts comma-separated value files into custom class objects or raw data for application use.
Configurable CSV Parsing - Allows precise control over field delimiters, escape sequences, and header handling through a configuration object.
CSV Class Exporters - Converts internal data sets and class objects into standard CSV files for external storage.
Attribute-Based Mappings - Provides automated mapping between CSV columns and class properties using declarative metadata attributes.
Reflection-Based Population - Uses runtime reflection to automatically populate class properties with data from CSV columns.
CSV Data Mapping - Links tabular CSV columns to application class properties through configurable mapping rules.
Memory-Optimized Parsers - Optimizes memory consumption by caching repetitive field values during large file processing.
Field Value Caching - Stores frequently occurring field values during parsing to lower memory consumption and increase processing speed.
Object-Relational Mapping - Maps CSV columns to specific class properties to handle diverse and complex file structures.
String Interning Deserializers - Implements a string interning cache to reuse identical field values and reduce memory consumption during parsing.
Strongly Typed Projections - Uses generic type parameters to ensure raw CSV string values are projected into strongly typed class objects.
Large Dataset Optimizations - Employs memory optimization techniques to handle high-volume CSV files efficiently.
General Utilities - Library for reading and writing CSV files.
Serialization - CSV reading and writing library.

स्टार हिस्ट्री

JoshCloseCsvHelper

Name: joshclose/csvhelper
Author: JoshClose

View on GitHub

5,202 स्टार्स1,104 फोर्क्सC#6 व्यूज़joshclose.github.io/CsvHelper

CsvHelper

Features

CSV Parsing - Provides a robust engine for parsing comma-separated values into structured data according to standard specifications.
Stream-Based Parsing - Processes large files record-by-record using a streaming approach to minimize memory overhead.
CSV Data Exports - Transforms internal application data and class objects into standard CSV files for external export.
CSV Data Mappers - Provides a system for linking CSV columns to application properties using configurable attributes.
CSV File Processing - Converts comma-separated value files into custom class objects or raw data for application use.
Configurable CSV Parsing - Allows precise control over field delimiters, escape sequences, and header handling through a configuration object.
CSV Class Exporters - Converts internal data sets and class objects into standard CSV files for external storage.
Attribute-Based Mappings - Provides automated mapping between CSV columns and class properties using declarative metadata attributes.
Reflection-Based Population - Uses runtime reflection to automatically populate class properties with data from CSV columns.
CSV Data Mapping - Links tabular CSV columns to application class properties through configurable mapping rules.
Memory-Optimized Parsers - Optimizes memory consumption by caching repetitive field values during large file processing.
Field Value Caching - Stores frequently occurring field values during parsing to lower memory consumption and increase processing speed.
Object-Relational Mapping - Maps CSV columns to specific class properties to handle diverse and complex file structures.
String Interning Deserializers - Implements a string interning cache to reuse identical field values and reduce memory consumption during parsing.
Strongly Typed Projections - Uses generic type parameters to ensure raw CSV string values are projected into strongly typed class objects.
Large Dataset Optimizations - Employs memory optimization techniques to handle high-volume CSV files efficiently.
General Utilities - Library for reading and writing CSV files.
Serialization - CSV reading and writing library.

CsvHelper के ओपन-सोर्स विकल्प

समान ओपन-सोर्स प्रोजेक्ट्स, जो CsvHelper के साथ साझा की गई सुविधाओं के आधार पर रैंक किए गए हैं।

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CsvHelper के सभी 30 विकल्प देखें

अक्सर पूछे जाने वाले प्रश्न

joshclose/csvhelper क्या करता है?

joshclose/csvhelper की मुख्य विशेषताएं क्या हैं?

joshclose/csvhelper की मुख्य विशेषताएं हैं: CSV Parsing, Stream-Based Parsing, CSV Data Exports, CSV Data Mappers, CSV File Processing, Configurable CSV Parsing, CSV Class Exporters, Attribute-Based Mappings।

joshclose/csvhelper के कुछ ओपन-सोर्स विकल्प क्या हैं?

joshclose/csvhelper के ओपन-सोर्स विकल्पों में शामिल हैं: gam-team/gam — GAM is a command-line tool for administering Google Workspace and Cloud Identity. It translates command-line arguments… exceldatareader/exceldatareader — ExcelDataReader is a C# library used to extract data and metadata from Microsoft Excel spreadsheets and CSV files. It… praeclarum/sqlite-net — sqlite-net is a lightweight object-relational mapper and data access layer for SQLite. It provides tools for… tuguangquan/mybatis — This project is a mirrored version of the MyBatis persistence framework source code, presented as a Java database… mgravell/protobuf-net — protobuf-net is a binary serialization framework and .NET library that implements the Protocol Buffers specification.… xianhu/learnpython — LearnPython is a programming tutorial consisting of a collection of practical code examples used to demonstrate Python…

स्टार हिस्ट्री

अक्सर पूछे जाने वाले प्रश्न

joshclose/csvhelper क्या करता है?

joshclose/csvhelper की मुख्य विशेषताएं क्या हैं?

joshclose/csvhelper के कुछ ओपन-सोर्स विकल्प क्या हैं?

CsvHelper

Features

स्टार हिस्ट्री

CsvHelper

Features

CsvHelper के ओपन-सोर्स विकल्प

GAM-team/GAM

ExcelDataReader/ExcelDataReader

praeclarum/sqlite-net

tuguangquan/mybatis

अक्सर पूछे जाने वाले प्रश्न

स्टार हिस्ट्री

अक्सर पूछे जाने वाले प्रश्न

CsvHelper के ओपन-सोर्स विकल्प

GAM-team/GAM

ExcelDataReader/ExcelDataReader

praeclarum/sqlite-net

tuguangquan/mybatis