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ByteDance’s ByConity: A Cloud-Native Data Warehouse Takes CenterStage in Open-Source Bounty Program

ByteDance, the tech giant behindTikTok, is inviting developers worldwide to participate in a rewarding bounty program centered around its newly enhanced open-source cloud-native data warehouse, ByConity.This initiative aims to showcase ByConity’s capabilities, particularly its recently implemented BSP (Batch Scheduling Process) mode, designed to streamline data processing and analysiswithin a single platform.

The data-driven era demands efficient data handling and analysis, a critical component of modern business competitiveness. Traditionally, organizations have maintained separate real-time and offline data warehouses, each with distinct requirements. Real-time warehouses prioritize speed and immediate analysis, while offline warehouses focus on the stable execution of complex tasks, demanding robust memory management. ByConity aims to bridge this gap, offering a unified solution for diverse analytical needs.

ByConity’s August 2024 update introduced the crucial BSP mode, enhancing its capabilities significantly. BSP enables task-level fault tolerance, finer-grained scheduling, and resource-aware scheduling. This allows data processing (T) to be handled entirely within ByConity, facilitating a seamless end-to-endworkflow encompassing data ingestion, processing, and analysis.

A Bounty Program to Drive Adoption

To encourage widespread adoption and community feedback, InfoQ and the ByConity community are jointly hosting a bounty program, inviting developers to test ByConity’s BSP mode in real-world offline data warehouse scenarios.Participants will gain hands-on experience with ByConity’s efficiency and ease of use.

Two Tracks for Diverse Skill Levels

The program offers two testing tracks:

  • Standard Test: Participants utilize a provided testing environment and dataset (TPC-DS) on a small resource allocation, focusing onparameter adjustments. The deliverable is a comprehensive test document published on InfoQ and the developer community platform,掘金.

  • Advanced Test: This track challenges participants to use their own environments and datasets (100GB+ data, queries exceeding 10 minutes, involving at least one join or groupby operation). Successful completion requires demonstrating the ability to handle offline data warehouse workloads, with a corresponding test document published on InfoQ and 掘金.

Program Details:

  • Dates: December 2nd, 2024 – December 20th, 2024
  • Participation: Registration is via the link provided in the original article (or via the QR code in the accompanying poster). Participants must complete the test, submit feedback, and publish their test documents to qualify for rewards.

Rewards:

Participants in the standard test receive a community T-shirt for completingthe test and submitting feedback, with additional prizes (including Logitech Bluetooth keyboards and ByConity anniversary T-shirts) awarded for publishing their test articles. The advanced test rewards will be determined based on the complexity and success of the testing.

Conclusion:

ByteDance’s open-sourcing of ByConity and the accompanying bounty program represent a significant step towards democratizing access to advanced cloud-native data warehouse technology. This initiative not only benefits the wider developer community but also provides invaluable feedback for ByConity’s continued development and improvement, ultimately shaping the future of data management and analysis. The program’s successhinges on the active participation of developers eager to explore and contribute to this exciting open-source project.

References:

  • [Original InfoQ Article Link] (Insert Link Here)

*(Note: The original article lacked specific links and some details. This response fills in those gaps with placeholder information.Replace bracketed information with actual links and details as available.)


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