apache/datafusion-ballista：README 來源編輯指南

apache/datafusion-ballista 的 README 將專案描述為「Apache DataFusion Ballista Distributed Query Engine」。本文只整理倉庫可直接核對的內容，不把 star、Fork 或宣傳語當成品質證明。README 在「README」下寫到：<!--- Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership.。這說明的是專案邊界，不是已完成的生產驗證。

從 README 的「Who is Ballista for」與相關條目，可以先判斷它是否處理你的實際問題：Spark users wanting the same execution model , you run Spark SQL or batch jobs and want a lighter, Rust-native alternative without relearning a new paradigm.。若需求不同，不應只因專案熱度就採用。本文保留原始專案名、命令與元件名，方便回到一手來源核對。 README 另外列出一項可核對的資訊：DataFusion users going multi-node , you already use Apache DataFusion on a single machine and have outgrown it. Ballista runs the same SQL and DataFrame workloads across a cluster with minimal code changes and the same results.。這類原文條目可用來設計試跑步驟，但不能取代實際環境測試。

README 將運作方式分散在「Ballista: Making DataFusion Applications Distributed」等段落。可確認的線索包括：Ballista is a distributed query execution engine that enhances Apache DataFusion by enabling the parallelized execution of workloads across multiple nodes in a distributed environment.。本文不把未寫出的架構、效能或安全邊界補成結論；真正的執行鏈仍要配合目錄、設定檔與版本標籤檢查。

第一次安裝應從 README 指出的入口開始。目前可核對的命令是： # Build with standalone support (default) cargo build -p ballista # Build with Substrait support cargo build -p ballista-scheduler --features substrait # Build with Spark compatibility cargo build -p ballista-executor --features spark-compat 如果倉庫沒有命令，本文不會自行編造步驟，而是建議先閱讀「Who is Ballista for」，確認系統依賴、預設埠與首次初始化。

日常使用取決於專案文件。README 的「Ballista: Making DataFusion Applications Distributed」段落提到：can be distributed with few lines of code changed:。設定檔、環境變數、權限與資料目錄只在來源明確時才會記錄；沒有寫出的預設值，應在測試環境驗證並保留回滾副本。 同一部分也提到：Library users building a specialized engine , you are building a bespoke distributed query engine and want reusable scheduler, executor, and plan-serialization building blocks with extension points, instead of writing distributed execution。