Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/koculu/ZoneTree

ZoneTree is a persistent, high-performance, transactional, and ACID-compliant ordered key-value database for .NET. It operates seamlessly both in-memory and on local/cloud storage, making it an ideal choice for a wide range of applications requiring efficient data management.
https://github.com/koculu/ZoneTree

atomicity binary-tree cloud-disk concurrency-control concurrent consistency database durability isolation iterator key-value-database key-value-store library linux lsm-tree microservices multi-threaded persistence recoverable transactional

Last synced: 16 days ago
JSON representation

ZoneTree is a persistent, high-performance, transactional, and ACID-compliant ordered key-value database for .NET. It operates seamlessly both in-memory and on local/cloud storage, making it an ideal choice for a wide range of applications requiring efficient data management.

Awesome Lists containing this project

README 

        
![ZoneTree Logo](https://raw.githubusercontent.com/koculu/ZoneTree/main/src/ZoneTree/docs/ZoneTree/images/logo2.png)



# ZoneTree



ZoneTree is a **persistent**, **high-performance**, **transactional**, and **ACID-compliant** [ordered key-value database](https://en.wikipedia.org/wiki/Ordered_Key-Value_Store) for .NET. It operates seamlessly both **in-memory** and on **local/cloud storage**, making it an ideal choice for a wide range of applications requiring efficient data management.



![License](https://img.shields.io/badge/license-MIT-blue.svg)

[![Downloads](https://img.shields.io/nuget/dt/ZoneTree)](https://www.nuget.org/packages/ZoneTree/)

![Platform](https://img.shields.io/badge/platform-.NET-blue.svg)

![Build](https://img.shields.io/badge/build-passing-brightgreen.svg)

[![Join Discord](https://dcbadge.vercel.app/api/server/d9aDtzVNNv?logoColor=f1c400&theme=discord&style=flat)](https://discord.gg/d9aDtzVNNv)



## Table of Contents



- [Why Choose ZoneTree?](#why-choose-zonetree)

- [Performance](#performance)

  - [Benchmark Results](#benchmark-results)

  - [Write-Ahead Log (WAL) Modes](#write-ahead-log-wal-modes)

  - [Benchmark Environment](#benchmark-environment)

- [Getting Started](#getting-started)

  - [Basic Usage](#basic-usage)

  - [Creating a Database](#creating-a-database)

- [Maintaining the LSM Tree](#maintaining-the-lsm-tree)

- [Handling Deletions](#handling-deletions)

  - [Using an Integer Deletion Flag](#using-an-integer-deletion-flag)

  - [Using a Custom Struct for Deletion](#using-a-custom-struct-for-deletion)

- [Data Iteration](#data-iteration)

  - [Forward and Backward Iteration](#forward-and-backward-iteration)

  - [Seekable Iterator](#seekable-iterator)

- [Transaction Support](#transaction-support)

  - [Fluent Transactions](#fluent-transactions)

  - [Classical Transactions](#classical-transactions)

  - [Exceptionless Transactions](#exceptionless-transactions)

- [Feature Highlights](#feature-highlights)

- [ZoneTree.FullTextSearch](#zonetreefulltextsearch)

- [Documentation](#documentation)

- [Contributing](#contributing)

- [License](#license)



---



## Why Choose ZoneTree?



1. **Pure C# Implementation**: ZoneTree is developed entirely in C#, ensuring seamless integration and deployment within .NET ecosystems without external dependencies.



2. **Exceptional Performance**: Demonstrates performance several times faster than Facebook's RocksDB and hundreds of times faster than SQLite. Optimized for both speed and efficiency.



3. **Data Durability and Crash Resilience**: Provides optional durability features that protect data against crashes and power outages, ensuring data integrity under all circumstances.



4. **Transactional and ACID-Compliant**: Supports both transactional and non-transactional access with full ACID guarantees, offering flexibility for various application requirements.



5. **Embeddable Database Engine**: Easily embed ZoneTree into applications, eliminating the overhead of maintaining or shipping separate database products.



6. **Scalability**: Capable of handling small to massive datasets, allowing the creation of both scalable and non-scalable databases tailored to specific needs.



---



## Performance



ZoneTree sets new standards in database performance, showcasing remarkable speeds in data insertion, loading, and iteration operations.



### Benchmark Results



- **100 Million integer key-value pairs** inserted in **20 seconds** using **WAL mode = NONE**.

- **Loading** database with 100 million integer key-value pairs takes **812 milliseconds**.

- **Iterating** over 100 million key-value pairs completes in **24 seconds**.



**Detailed Benchmark for Various Modes:**



| Insert Benchmarks                         | 1M            | 2M       | 3M       | 10M      |

| ----------------------------------------- | ------------- | -------- | -------- | -------- |

| **int-int ZoneTree async-compressed WAL** | 267 ms        | 464 ms   | 716 ms   | 2693 ms  |

| **int-int ZoneTree sync-compressed WAL**  | 834 ms        | 1617 ms  | 2546 ms  | 8642 ms  |

| **int-int ZoneTree sync WAL**             | 2742 ms       | 5533 ms  | 8242 ms  | 27497 ms |

|                                           |               |          |          |          |

| **str-str ZoneTree async-compressed WAL** | 892 ms        | 1833 ms  | 2711 ms  | 9443 ms  |

| **str-str ZoneTree sync-compressed WAL**  | 1752 ms       | 3397 ms  | 5070 ms  | 19153 ms |

| **str-str ZoneTree sync WAL**             | 3488 ms       | 7002 ms  | 10483 ms | 38727 ms |

|                                           |               |          |          |          |

| **RocksDb sync WAL (10K => 11 sec)**      | ~1,100,000 ms | N/A      | N/A      | N/A      |

| **int-int RocksDb sync-compressed WAL**   | 8059 ms       | 16188 ms | 23599 ms | 61947 ms |

| **str-str RocksDb sync-compressed WAL**   | 8215 ms       | 16146 ms | 23760 ms | 72491 ms |



**[Full Benchmark Results](https://raw.githubusercontent.com/koculu/ZoneTree/main/src/Playground/BenchmarkForAllModes.txt)**



**Benchmark Configuration:**



```csharp

DiskCompressionBlockSize = 10 * 1024 * 1024; // 10 MB

WALCompressionBlockSize = 32 * 1024 * 8;     // 256 KB

DiskSegmentMode = DiskSegmentMode.SingleDiskSegment;

MutableSegmentMaxItemCount = 1_000_000;

ThresholdForMergeOperationStart = 2_000_000;

```



**Additional Notes:**



- ZoneTree has been tested successfully with up to **1 billion records** on standard desktop computers, demonstrating stability and efficiency even with very large datasets.



### Write-Ahead Log (WAL) Modes



ZoneTree offers **four WAL modes** to provide flexibility between performance and durability:



1. **Sync Mode**:



   - **Durability**: Maximum.

   - **Performance**: Slower write speed.

   - **Use Case**: Ensures data is not lost in case of crashes or power cuts.



2. **Sync-Compressed Mode**:



   - **Durability**: High, but slightly less than sync mode.

   - **Performance**: Faster write speed due to compression.

   - **Use Case**: Balances durability and performance; periodic jobs can persist decompressed tail records for added safety.



3. **Async-Compressed Mode**:



   - **Durability**: Moderate.

   - **Performance**: Very fast write speed; logs are written in a separate thread.

   - **Use Case**: Suitable where immediate durability is less critical but performance is paramount.



4. **None Mode**:

   - **Durability**: No immediate durability; relies on manual or automatic disk saves.

   - **Performance**: Maximum possible.

   - **Use Case**: Ideal for scenarios where performance is critical and data can be reconstructed or is not mission-critical.



### Benchmark Environment



```

BenchmarkDotNet=v0.13.1, OS=Windows 10.0.22000

Processor: Intel Core i7-6850K CPU @ 3.60GHz (Skylake), 12 logical cores, 6 physical cores

Memory: 64 GB DDR4

Storage: Samsung SSD 850 EVO 1TB

Configuration: 1M mutable segment size, 2M readonly segments merge-threshold

```



---



## Getting Started



ZoneTree is designed for ease of use, allowing developers to integrate and utilize its capabilities with minimal setup.



### Basic Usage



```csharp

using Tenray.ZoneTree;



using var zoneTree = new ZoneTreeFactory()

    .OpenOrCreate();



zoneTree.Upsert(39, "Hello ZoneTree");

```



### Creating a Database



```csharp

using Tenray.ZoneTree;

using Tenray.ZoneTree.Comparers;

using Tenray.ZoneTree.Serializers;



var dataPath = "data/mydatabase";



using var zoneTree = new ZoneTreeFactory()

    .SetComparer(new Int32ComparerAscending())

    .SetDataDirectory(dataPath)

    .SetKeySerializer(new Int32Serializer())

    .SetValueSerializer(new Utf8StringSerializer())

    .OpenOrCreate();



// Atomic (thread-safe) operation on single mutable-segment.

zoneTree.Upsert(39, "Hello ZoneTree!");



// Atomic operation across all segments.

zoneTree.TryAtomicAddOrUpdate(39, "a", (ref string x) =>

{

    x += "b";

    return true;

}, out var opIndex);

```



---



## Maintaining the LSM Tree



Large-scale LSM Trees require periodic maintenance to ensure optimal performance and resource utilization. ZoneTree provides the `IZoneTreeMaintenance` interface to facilitate comprehensive maintenance tasks.



**Example Usage:**



```csharp

using Tenray.ZoneTree;

using Tenray.ZoneTree.Maintenance;



var dataPath = "data/mydatabase";



using var zoneTree = new ZoneTreeFactory()

    .SetComparer(new Int32ComparerAscending())

    .SetDataDirectory(dataPath)

    .SetKeySerializer(new Int32Serializer())

    .SetValueSerializer(new Utf8StringSerializer())

    .OpenOrCreate();



using var maintainer = zoneTree.CreateMaintainer();

maintainer.EnableJobForCleaningInactiveCaches = true;



// Perform read/write operations.

zoneTree.Upsert(39, "Hello ZoneTree!");



// Wait for background maintenance tasks to complete.

maintainer.WaitForBackgroundThreads();

```



**Note:** For smaller datasets, maintenance tasks may not be necessary. The default maintainer allows developers to focus on core business logic without delving into LSM tree intricacies.



---



## Handling Deletions



In **Log-Structured Merge (LSM) trees**, deletions are managed by upserting a key/value pair with a **deletion marker**. Actual data removal occurs during the **compaction** stage.



By default, ZoneTree assumes that **default values** indicate deletion. This behavior can be customized by defining specific deletion flags or disabling deletions entirely using the `DisableDeletion` method.



### Using an Integer Deletion Flag



In this example, `-1` is used as the deletion marker for integer values:



```csharp

using Tenray.ZoneTree;



using var zoneTree = new ZoneTreeFactory()

    .SetIsDeletedDelegate((in int key, in int value) => value == -1)

    .SetMarkValueDeletedDelegate((ref int value) => value = -1)

    .OpenOrCreate();



// Deleting a key by setting its value to -1

zoneTree.Upsert(42, -1);

```



### Using a Custom Struct for Deletion



For more control, define a custom structure to represent values and their deletion status:



```csharp

using System.Runtime.InteropServices;

using Tenray.ZoneTree;



[StructLayout(LayoutKind.Sequential)]

struct MyDeletableValueType

{

    public int Number;

    public bool IsDeleted;

}



using var zoneTree = new ZoneTreeFactory()

    .SetIsDeletedDelegate((in int key, in MyDeletableValueType value) => value.IsDeleted)

    .SetMarkValueDeletedDelegate((ref MyDeletableValueType value) => value.IsDeleted = true)

    .OpenOrCreate();



// Deleting a key by setting the IsDeleted flag

zoneTree.Upsert(42, new MyDeletableValueType { Number = 0, IsDeleted = true });

```



---



## Data Iteration



ZoneTree provides efficient mechanisms to iterate over data both **forward** and **backward**, with equal performance in both directions. Iterators also support **seek** operations for quick access to specific keys.



### Forward and Backward Iteration



```csharp

using Tenray.ZoneTree;

using Tenray.ZoneTree.Collections;



using var zoneTree = new ZoneTreeFactory()

    .OpenOrCreate();



// Forward iteration

using var iterator = zoneTree.CreateIterator();

while (iterator.Next())

{

    var key = iterator.CurrentKey;

    var value = iterator.CurrentValue;

    // Process key and value

}



// Backward iteration

using var reverseIterator = zoneTree.CreateReverseIterator();

while (reverseIterator.Next())

{

    var key = reverseIterator.CurrentKey;

    var value = reverseIterator.CurrentValue;

    // Process key and value

}

```



### Seekable Iterator



The `ZoneTreeIterator` supports the `Seek()` method to jump to any record with **O(log(n))** complexity, useful for prefix searches and range queries.



```csharp

using Tenray.ZoneTree;

using Tenray.ZoneTree.Collections;



using var zoneTree = new ZoneTreeFactory()

    .OpenOrCreate();



using var iterator = zoneTree.CreateIterator();



// Jump to the first record starting with "SomePrefix"

if (iterator.Seek("SomePrefix"))

{

    do

    {

        var key = iterator.CurrentKey;

        var value = iterator.CurrentValue;

        // Process key and value

    }

    while (iterator.Next());

}

```



---



## Transaction Support



ZoneTree supports **Optimistic Transactions**, ensuring **ACID compliance** while offering flexibility through various transaction models:



1. **Fluent Transactions**: Provides an intuitive, chainable API with built-in retry capabilities.

2. **Classical Transactions**: Traditional approach with explicit control over transaction lifecycle.

3. **Exceptionless Transactions**: Allows transaction management without relying on exceptions for control flow.



### Fluent Transactions



```csharp

using System.Threading.Tasks;

using Tenray.ZoneTree;

using Tenray.ZoneTree.Transaction;



using var zoneTree = new ZoneTreeFactory()

    .OpenOrCreateTransactional();



using var transaction = zoneTree

    .BeginFluentTransaction()

    .Do(tx => zoneTree.UpsertNoThrow(tx, 3, 9))

    .Do(tx =>

    {

        if (zoneTree.TryGetNoThrow(tx, 3, out var value).IsAborted)

            return TransactionResult.Aborted();



        if (zoneTree.UpsertNoThrow(tx, 3, 21).IsAborted)

            return TransactionResult.Aborted();



        return TransactionResult.Success();

    })

    .SetRetryCountForPendingTransactions(100)

    .SetRetryCountForAbortedTransactions(10);



await transaction.CommitAsync();

```



### Classical Transactions



```csharp

using System;

using System.Threading;

using Tenray.ZoneTree;

using Tenray.ZoneTree.Transaction;



using var zoneTree = new ZoneTreeFactory()

    .OpenOrCreateTransactional();



try

{

    var txId = zoneTree.BeginTransaction();



    zoneTree.TryGet(txId, 3, out var value);

    zoneTree.Upsert(txId, 3, 9);



    var result = zoneTree.Prepare(txId);

    while (result.IsPendingTransactions)

    {

        Thread.Sleep(100);

        result = zoneTree.Prepare(txId);

    }



    zoneTree.Commit(txId);

}

catch (TransactionAbortedException)

{

    // Handle aborted transaction (retry or cancel)

}

```



### Exceptionless Transactions



```csharp

using System;

using System.Threading.Tasks;

using Tenray.ZoneTree.Transactional;



public async Task ExecuteTransactionWithRetryAsync(ZoneTreeFactory zoneTreeFactory, int maxRetries = 3)

{

    using var zoneTree = zoneTreeFactory.OpenOrCreateTransactional();

    var transactionId = zoneTree.BeginTransaction();



    // Execute the operations within the transaction

    var result = zoneTree.UpsertNoThrow(transactionId, 1, 100);

    if (result.IsAborted)

        return false; // Abort the transaction and return false on failure.



    result = zoneTree.UpsertNoThrow(transactionId, 2, 200);

    if (result.IsAborted)

        return false; // Abort the transaction and return false on failure.



    // Retry only the prepare step

    int retryCount = 0;

    while (retryCount <= maxRetries)

    {

        var prepareResult = zoneTree.PrepareNoThrow(transactionId);

        if (prepareResult.IsAborted)

            return false; // Abort the transaction and return false on failure.



        if (prepareResult.IsPendingTransactions)

        {

            await Task.Delay(100); // Simple delay before retrying

            retryCount++;

            continue; // Retry the prepare step

        }



        if (prepareResult.IsReadyToCommit)

            break; // Exit loop if ready to commit

    }



    // After successfully preparing, commit the transaction

    var commitResult = zoneTree.CommitNoThrow(transactionId);

    if (commitResult.IsAborted)

        return false; // Abort the transaction and return false on failure.



    // Transaction committed successfully

    return true;

}

```



---



## Feature Highlights



| Feature                                         | Description                                                                          |

| ----------------------------------------------- | ------------------------------------------------------------------------------------ |

| **.NET Compatibility**                          | Works seamlessly with .NET primitives, structs, and classes.                         |

| **High Performance and Low Memory Consumption** | Optimized algorithms ensure fast operations with minimal resource usage.             |

| **Crash Resilience**                            | Robust mechanisms protect data integrity against unexpected failures.                |

| **Efficient Disk Space Utilization**            | Optimized storage strategies minimize disk space requirements.                       |

| **Data Compression**                            | Supports WAL and DiskSegment data compression for efficient storage.                 |

| **Fast Load/Unload**                            | Quickly load and unload large datasets as needed.                                    |

| **Standard CRUD Operations**                    | Provides intuitive and straightforward Create, Read, Update, Delete functionalities. |

| **Optimistic Transactions**                     | Supports concurrent operations with minimal locking overhead.                        |

| **Atomic Read-Modify-Update**                   | Ensures data consistency during complex update operations.                           |

| **In-Memory and Disk Storage**                  | Flexibly operate entirely in memory or persist data to various storage backends.     |

| **Cloud Storage Support**                       | Compatible with cloud-based storage solutions for scalable deployments.              |

| **ACID Compliance**                             | Guarantees Atomicity, Consistency, Isolation, and Durability across transactions.    |

| **Multiple WAL Modes**                          | Choose from four different WAL modes to balance performance and durability.          |

| **Configurable Memory Usage**                   | Adjust the amount of data retained in memory based on application needs.             |

| **Partial and Complete Data Loading**           | Load data partially (with sparse arrays) or completely to and from disk.             |

| **Bidirectional Iteration**                     | Efficiently iterate over data both forward and backward.                             |

| **Optional Dirty Reads**                        | Allow for faster reads when strict consistency is not required.                      |

| **Embeddable Design**                           | Integrate ZoneTree directly into applications without external dependencies.         |

| **SSD Optimization**                            | Tailored for optimal performance on solid-state drives.                              |

| **Exceptionless Transaction API**               | Manage transactions smoothly without relying on exceptions for control flow.         |

| **Fluent Transaction API**                      | Utilize an intuitive, chainable transaction interface with retry capabilities.       |

| **Easy Maintenance**                            | Simplified maintenance processes ensure consistent performance.                      |

| **Configurable LSM Merger**                     | Customize merge operations to suit specific workload patterns.                       |

| **Transparent Implementation**                  | Clear and straightforward codebase reveals internal workings for easy understanding. |

| **Open-Source with MIT License**                | Freely use, modify, and distribute under a permissive license.                       |

| **Transaction Log Compaction**                  | Efficiently manage and reduce the size of transaction logs.                          |

| **Transaction Analysis and Control**            | Analyze and manage transactions for improved performance and reliability.            |

| **Efficient Concurrency Control**               | Minimal overhead through innovative separation of concurrency stamps and data.       |

| **Time-To-Live (TTL) Support**                  | Automatically expire data after a specified duration.                                |

| **Custom Serializer and Comparer Support**      | Implement custom logic for data serialization and comparison.                        |

| **Multiple Disk Segments Mode**                 | Divide data files into configurable chunks for better manageability and performance. |

| **Snapshot Iterators**                          | Create consistent snapshots for data analysis and backup purposes.                   |



---



## ZoneTree.FullTextSearch



[ZoneTree.FullTextSearch](https://www.nuget.org/packages/ZoneTree.FullTextSearch/) is an extension library built upon ZoneTree, providing a **high-performance** and **flexible full-text search engine** for .NET applications.



**Key Features Include:**



- **Fast and Efficient Indexing**: Handles large volumes of text data with impressive speed.

- **Advanced Query Support**: Enables complex search queries with support for Boolean operators and faceted search.

- **Customizable Components**: Allows integration of custom tokenizers, stemmers, and normalizers to suit specific application needs.

- **Scalable Architecture**: Designed to scale seamlessly with growing data and usage demands.



For more information and detailed documentation, visit the [ZoneTree.FullTextSearch GitHub Repository](https://github.com/koculu/ZoneTree.FullTextSearch).



---



## Documentation



Explore comprehensive guides and API references to get the most out of ZoneTree:



- **[Introduction](https://tenray.io/docs/ZoneTree/guide/introduction.html)**

- **[Quick Start Guide](https://tenray.io/docs/ZoneTree/guide/quick-start.html)**

- **[API Documentation](https://tenray.io/docs/ZoneTree/api/Tenray.ZoneTree.html)**

- **[Tuning ZoneTree](https://tenray.io/docs/ZoneTree/guide/tuning-disk-segment.html)**

- **[Features Overview](https://tenray.io/docs/ZoneTree/guide/features.html)**

- **[Terminology](https://tenray.io/docs/ZoneTree/guide/terminology.html)**

- **[Performance Details](https://tenray.io/docs/ZoneTree/guide/performance.html)**



---



## Contributing



Contributions are highly appreciated and welcomed! Here’s how you can help:



1. **Write Tests and Benchmarks**: Improve code reliability and performance analysis.

2. **Enhance Documentation**: Help others understand and utilize ZoneTree effectively.

3. **Submit Feature Requests and Bug Reports**: Share ideas and report issues to refine ZoneTree further.

4. **Optimize Performance**: Contribute optimizations and improvements to existing functionalities.



Please follow the guidelines outlined in **[CONTRIBUTING.md](https://github.com/koculu/ZoneTree/blob/main/.github/CONTRIBUTING.md)** to get started.



---



## License



ZoneTree is licensed under the **[MIT License](https://github.com/koculu/ZoneTree?tab=MIT-1-ov-file#readme)**, allowing for flexible use and distribution.