bedrock-chunk-diff 0.0.1

Delta update implement for Minecraft bedrock chunk.

Bedrock Chunk Diff

A Minecraft chunk delta update implements based on Go

Catalogue

• Catalogue
• Summary
  • Aims
  • Details
  • Upstream
  • Supported OS and architecture
  • Features
• Compatibility
• Get started quickly
• Note
• 🐍 Pypi Package
• Others

Summary

Aims

Bedrock Chunk Diff is build basd on Go language that provide a high speed implements for Python that can do delta update operation for Minecraft game saves very fast.

Details

The finest granularity of delta update is the Chunk. That means, the user is easily (and also very fast) to record the time point for the Minecraft game saves when the server is running.

So, for a chunk that not loaded, they will nerver to get update, then their is no newer time point to be created. Therefore, we just need to track the chunks that player loaded, so this package provided a very useful delta update implements.

Additionally, we finally used a single file as the database, so it's very easy for you to backup the timeline database, just copy one is ok...

See research document to learn our research study essay.
Note that this research is talk about the sub chunk delta update, but not the chunks.
The reason we use chunk but sub chunk is sub chunk will take too much time to do delta update, and it is not our expected.

Upstream

This package is based on bedrock-world-operator that nowadays only support Minecraft v1.20.51 that align with Minecraft Chinese Version. Therefore, this package can only be used on current Chinese version of Minecraft.

For higher version, you maybe need to modifiy bedrock-world-operator and fork this repository to make delta update could running correctly in your server.

Additionally, bedrock-world-operator only support the standard Minecraft blocks. For custom blocks, you also need to start a modification.

Supported OS and architecture

Due to Bedrock Chunk Diff is based on Go, so we pre-built some dynamic library.

However, maybe some of the systems or architectures are not supportted. Therefore, if needed, welcome to open new ISSUE or Pull Request,

• Windows
  • x86_64/amd64
  • x86/i686
• Darwin (MacOS)
  • x86_64/amd64
  • arm64/aarch64
• Linux
  • x86_64/amd64
  • arm64
  • aarch64 (Termux on Android)

By reference this file to know how we load dynamic library in Python side.

Features

• Delta update for blocks in chunk
• Delta update for NBT data in chunk
• Delta update for map pixel data (Not planned to support, but welcome to open Pull Request)
• Delta update for lodestone data (Not planned to support, but welcome to open Pull Request)
• Delta update for player data (Not planned to support, but welcome to open Pull Request)
• Delta update for mob data in game saves (Not planned to support, but welcome to open Pull Request)

Compatibility

0.0.x version is still on testing, and we can't ensure all the things are compatibility.

Get started quickly

from bedrockworldoperator import Range, Dimension, ChunkPos
from bedrockworldoperator import RANGE_OVERWORLD, RANGE_NETHER, RANGE_END
from bedrockworldoperator import DIMENSION_OVERWORLD, DIMENSION_NETHER, DIMENSION_END

from .timeline.timeline_database import new_timeline_database

We export those things above by default.
Therefore, by using new_timeline_database, you can create a new timeline database.

There are multiple functions in each class you get by new_timeline_database, and you can do more operation based on them. We ensure there are enough annotations, so we will not provide extra documents for this project.

Note

You can't used any thing that come from package internal, because they are our internal implement details.

If you want to start a contribution on this project, then you maybe need to do some research on this package. But we most suggest you study on c_api and timeline folder first, because they are our Go implements.

🐍 Pypi Package

This package bedrock-world-operator is been uploaded to Pypi ，and you can use pip install bedrock-chunk-diff to install.

See 📦 bedrock-chunk-diff on Pypi to learn more.

We used CD/CI Github Actions, so if you are the collaborator of this project, you can trigger the workflows by change version or use your hand. Then, the robot will compile this project and upload it to Pypi.

Others

This project is licensed under MIT LICENSE.