ZoneTree.FullTextSearch 1.0.1

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dotnet add package ZoneTree.FullTextSearch --version 1.0.1                
NuGet\Install-Package ZoneTree.FullTextSearch -Version 1.0.1                
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="ZoneTree.FullTextSearch" Version="1.0.1" />                
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add ZoneTree.FullTextSearch --version 1.0.1                
#r "nuget: ZoneTree.FullTextSearch, 1.0.1"                
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
// Install ZoneTree.FullTextSearch as a Cake Addin
#addin nuget:?package=ZoneTree.FullTextSearch&version=1.0.1

// Install ZoneTree.FullTextSearch as a Cake Tool
#tool nuget:?package=ZoneTree.FullTextSearch&version=1.0.1                

ZoneTree.FullTextSearch

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Overview

ZoneTree.FullTextSearch is an open-source library for implementing full-text search engines using the ZoneTree storage engine. The library is designed for high performance and flexibility, offering the ability to index and search text data efficiently. The first search engine implementation in this library is the HashedSearchEngine, which provides a fast, lightweight and reliable full-text search using hashed tokens.

Key Features

  • Dual-Key Storage: Leverages synchronized ZoneTrees to enable fast lookups by both records and their associated values.
  • Full-Text Search: Implements a hashed token-based search engine, providing efficient indexing and searching capabilities.
  • Customizable: Supports the use of custom tokenizers and comparers to tailor the search engine to specific needs.
  • Scalable: Designed to handle large datasets with background maintenance tasks and disk-based storage to manage memory usage.

Performance

ZoneTree.FullTextSearch is designed for high performance, ensuring that even large datasets can be indexed and queried efficiently. Here are some performance metrics from recent tests, demonstrating its capability to handle substantial workloads:

Metric Value
Token Count 27,869,351
Record Count 103,499
Index Creation Time 54,814 ms (approximately 54.8 seconds)
Query (matching 90K records) 325 ms
Query (matching 11 records) 16 ms

Indexing Performance:
The library successfully indexed 27.8 million tokens across 103,499 records in just under 55 seconds, highlighting its efficiency in handling large datasets.

Query Performance:

  • A complex query that matched 90,000 records was completed in just 325 milliseconds.
  • A more specific query matching 11 records was resolved in only 16 milliseconds.

These results illustrate that ZoneTree.FullTextSearch provides quick response times, even with extensive data, making it suitable for applications requiring both scalability and speed. Whether you're dealing with vast amounts of text data or need rapid search capabilities, this library offers the performance necessary for demanding environments.

Environment:

Intel Core i7-6850K CPU 3.60GHz (Skylake), 1 CPU, 12 logical and 6 physical cores
64 GB DDR4 Memory
SSD: Samsung SSD 850 EVO 1TB

Installation

To install ZoneTree.FullTextSearch, you can add the package to your project via NuGet:

dotnet add package ZoneTree.FullTextSearch

Usage

Setting Up a Search Engine

To create an instance of HashedSearchEngine, initialize it with the required parameters:

using ZoneTree.FullTextSearch.SearchEngines;

// Initialize the search engine
using var searchEngine = new HashedSearchEngine<int>(
    dataPath: "data",
    useSecondaryIndex: true,
    wordTokenizer: new WordTokenizer(),
    refComparer: null
);

Adding Records

To add a record to the search engine, use the AddRecord method:

searchEngine.AddRecord(1, "The quick brown fox jumps over the lazy dog.");

Searching Records

To perform a search, use the Search method:

var results = searchEngine.Search("quick fox", respectTokenOrder: true);

Deleting Records

To delete a record from the search engine:

searchEngine.DeleteRecord(1);

Pagination

In addition to basic searching, you can easily implement pagination using the skip and limit parameters in the Search method. This is especially useful when dealing with large datasets where you only want to display a subset of the results at a time.

var resultsPage1 = searchEngine.Search(
    search: "quick fox",
    respectTokenOrder: true,
    skip: 0, // Skip 0 records, start from the beginning
    limit: 10 // Limit to 10 records in this page
);

var resultsPage2 = searchEngine.Search(
    search: "quick fox",
    respectTokenOrder: true,
    skip: 10, // Skip the first 10 records
    limit: 10 // Limit to 10 records in this page
);

Adding Facets

To associate a facet (e.g., category, author) with a record:

searchEngine.AddFacet(1, "category", "books");
searchEngine.AddFacet(1, "author", "John Doe");

Deleting Facets

To remove a specific facet associated with a record:

searchEngine.DeleteFacet(1, "category", "books");
searchEngine.DeleteFacet(1, "author", "John Doe");

If you're also filtering by facets, you can still apply pagination by specifying the skip and limit parameters:

var facets = new Dictionary<string, string>
{
    { "category", "books" },
    { "author", "John Doe" }
};

var paginatedFacetedResultsPage1 = searchEngine.Search(
    search: "quick fox",
    facets: facets,
    respectTokenOrder: true,
    skip: 0, // Start from the first matching record
    limit: 10 // Retrieve up to 10 records
);

var paginatedFacetedResultsPage2 = searchEngine.Search(
    search: "quick fox",
    facets: facets,
    respectTokenOrder: true,
    skip: 10, // Skip the first 10 matching records
    limit: 10 // Retrieve the next 10 records
);

Cleanup

When you're done using the search engine, ensure proper cleanup:

searchEngine.Dispose();

Customization

Custom Tokenizer

You can implement your own tokenizer by adhering to the IWordTokenizer interface:

public class CustomTokenizer : IWordTokenizer
{
    public IReadOnlyList<Slice> GetSlices(ReadOnlySpan<char> text)
    {
        // Custom tokenization logic
    }

    public IEnumerable<Slice> EnumerateSlices(ReadOnlyMemory<char> text)
    {
        // Custom tokenization logic
    }
}

Then, pass the custom tokenizer to the HashedSearchEngine:

var searchEngine = new HashedSearchEngine<int>(
    wordTokenizer: new CustomTokenizer()
);

Using RecordTable for Dual-Key Storage

The RecordTable class in ZoneTree.FullTextSearch provides a powerful dual-key storage solution where both keys can act as a lookup for the other. This is particularly useful for scenarios where you need to efficiently manage and query data based on two different keys.

Key Features

  • Two Synchronized ZoneTrees: RecordTable manages two synchronized ZoneTrees, enabling fast lookups by either the primary key (record) or the secondary key (value).
  • Background Maintenance: Automatic background maintenance tasks to manage caches and optimize performance.
  • Ease of Use: Simplified API for inserting, querying, and managing records with dual keys.

Why RecordTable is Needed

The RecordTable is essential when you need to handle complex records that the search engine index cannot directly manage due to its reliance on unmanaged types (simple, fixed-size data types). Since the search engine is optimized for these types, it cannot store more complex data like strings or classes directly.

If your application doesn't use a separate database for managing and looking up records, RecordTable acts as an embedded solution, allowing you to map and store complex records efficiently. It synchronizes with the search engine, providing dual-key lookups without needing an external database, simplifying your application's architecture while maintaining high performance.

Basic Usage

Initializing RecordTable

To set up a RecordTable, simply provide the necessary types and an optional data path for storage:

using ZoneTree.FullTextSearch;

var recordTable = new RecordTable<int, string>(dataPath: "data/recordTable");
Inserting Records

You can insert or update records using the UpsertRecord method, which ensures that both keys (record and value) are synchronized across the two ZoneTrees:

recordTable.UpsertRecord(1, "Value1");
recordTable.UpsertRecord(2, "Value2");
Retrieving Data by Primary Key

To retrieve a value associated with a given record (primary key), use the TryGetValue method:

if (recordTable.TryGetValue(1, out var value))
{
    Console.WriteLine($"Record 1 has value: {value}");
}
Retrieving Data by Secondary Key

Conversely, you can retrieve a record using its associated value (secondary key) with the TryGetRecord method:

if (recordTable.TryGetRecord("Value2", out var record))
{
    Console.WriteLine($"Value2 is associated with record: {record}");
}
Dropping the RecordTable

When you no longer need the RecordTable, you can drop it to clean up all resources and delete the data:

recordTable.Drop();
Disposing the RecordTable

Ensure to dispose of the RecordTable properly to close any open resources:

recordTable.Dispose();

Example Scenario

Imagine a scenario where you're storing user profiles where the TRecord is a unique user ID and the TValue is the user's email. With RecordTable, you can quickly find the user ID by email or retrieve the user's email by their ID, all while ensuring data consistency between the two ZoneTrees.

var userTable = new RecordTable<int, string>("data/users");

// Adding users
userTable.UpsertRecord(101, "user101@example.com");
userTable.UpsertRecord(102, "user102@example.com");

// Lookup by ID
if (userTable.TryGetValue(101, out var email))
{
    Console.WriteLine($"User 101's email: {email}");
}

// Lookup by email
if (userTable.TryGetRecord("user102@example.com", out var userId))
{
    Console.WriteLine($"Email user102@example.com belongs to user ID: {userId}");
}

This dual-key approach greatly simplifies scenarios where data needs to be accessed and managed from multiple perspectives.

Playground Console App

The Playground Console App for ZoneTree.FullTextSearch provides an interactive environment to experiment with the library's capabilities. It allows developers to:

  • Test Indexing and Querying: Quickly create indexes, add records, and execute queries to see real-time performance and results.
  • Explore Features: Experiment with different search engine settings, tokenizers, and configurations to understand how they impact performance and accuracy.
  • Benchmark Performance: Compare the performance of ZoneTree.FullTextSearch against other indexing solutions, using your own datasets.

This app serves as a valuable tool for both new users looking to learn how the library works and experienced developers who want to fine-tune their search engine settings for optimal performance in their applications.

Contributing

Contributions to ZoneTree.FullTextSearch are welcome! Please submit pull requests or issues through the GitHub repository.

Documentation

API Reference: TBD. Examples: TBD.

Roadmap

Future Search Engines: Additional search engines, such as Phrase Search Engine and Proximity Search Engine, are planned for future releases.

License

ZoneTree.FullTextSearch is licensed under the MIT License. See the LICENSE file for more details.


This library is developed and maintained by the author of ZoneTree, @koculu. For more information, visit the GitHub Repository.

Acknowledgements

Special thanks to the contributors and the open-source community for their support.

Product Compatible and additional computed target framework versions.
.NET net6.0 is compatible.  net6.0-android was computed.  net6.0-ios was computed.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  net6.0-tvos was computed.  net6.0-windows was computed.  net7.0 is compatible.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  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. 
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Version Downloads Last updated
1.0.7 37 11/14/2024
1.0.6 70 10/16/2024
1.0.5 114 9/7/2024
1.0.4 118 9/7/2024
1.0.3 106 9/1/2024
1.0.2 93 8/31/2024
1.0.1 119 8/24/2024
1.0.0 118 8/18/2024