apache / apache/datafusion-python

Build fails against DataFusion 54.1.0 due to new `schema` field on `RecursiveQuery`

未關閉 適合新手
#1,644 0 則留言 0 個 reaction 已指派 0 人 在 GitHub 檢視
bug
主要語言
Python
星號
604
分支
174
平均合併
2 天 22 小時
30 天內合併 PR
5

描述

**Describe the bug**

`datafusion-python` does not build against DataFusion 54.1.0. The workspace
dependencies are declared as `version = "54"`, so Cargo is free to resolve them
to 54.1.0, but the crate no longer compiles when it does:

```
error[E0063]: missing field `schema` in initializer of `datafusion::logical_expr::RecursiveQuery`
--> crates/core/src/expr/recursive_query.rs:72:20
|
72 | query: RecursiveQuery {
| ^^^^^^^^^^^^^^ missing `schema`
```

DataFusion 54.1.0 added a `schema: DFSchemaRef` field to
`datafusion_expr::logical_plan::RecursiveQuery` and introduced
`RecursiveQuery::try_new()`, which computes that schema by reconciling the
static and recursive terms. Our `PyRecursiveQuery::new()` builds the struct
with a literal initializer, so the new field breaks it.

**To Reproduce**

With a `Cargo.lock` that resolves DataFusion to 54.1.0 (e.g. a fresh checkout
without the committed lock file, or after `cargo update -p datafusion --precise
54.1.0`):

```sh
cargo check --workspace --all-targets
```

**Expected behavior**

`datafusion-python` builds and tests against DataFusion 54.1.0.

**Additional context**

Because the existing version requirements are `"54"`, this is not limited to
developers who explicitly opt in — any consumer resolving the dependency fresh
picks up 54.1.0 and hits the failure. The fix is to use
`RecursiveQuery::try_new()` and pin the workspace requirements to `"54.1"`.

貢獻指南

這個儲存庫沒有索引到貢獻指南

研究方向

從 crates/core/src/expr/recursive_query.rs 中的 PyRecursiveQuery::new() 初始化器開始,檢查 workspace 的 DataFusion 相依性需求。使用 DataFusion 54.1.0 執行 cargo check --workspace --all-targets;當建構函式和相依性需求支援該版本,且 workspace 成功建置並通過測試時,即表示完成。

由索引模型根據 Issue 內容生成。

評估

技術堆疊
python, rust
領域
build-system
Issue 類型
缺陷
難度
2/5
預估耗時
1-3 小時
活躍度
冷清
描述清晰度
描述清楚
新手友好度
78/100

把新 issue 寄到你的電子郵件信箱

精選適合新手參與的 GitHub issue 摘要。