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Missing ROW_GROUPS_PER_FILE argument in write_parquet function

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难度
2/5
预计耗时
1-3 小时
新手友好度
68/100
Issue 类型
缺陷
描述清晰度
描述清楚
活跃度
停滞
技术栈
python
领域
databases

调研方向

从 write_parquet 入口点的 Python 绑定开始,将其接受的关键字参数与 issue 中链接的 Parquet 选项进行比较。使用提供的查询重现该故障,然后验证 row_groups_per_file 可被接受,并且示例在没有 TypeError 的情况下完成。

由索引模型根据 Issue 内容生成。

描述

needs triage
What happens?
TypeError: write_parquet(): incompatible function arguments. The following argument types are supported:
    1. (self: _duckdb.DuckDBPyRelation, file_name: str, *, compression: object = None, field_ids: object = None, row_group_size_bytes: object = None, row_group_size: object = None, overwrite: object = None, per_thread_output: object = None, use_tmp_file: object = None, partition_by: object = None, write_partition_columns: object = None, append: object = None, filename_pattern: object = None, file_size_bytes: object = None) -> None

while invoking the write parquet function with the params that are accepted and documented in https://duckdb.org/docs/current/sql/statements/copy#parquet-options

To Reproduce
import duckdb

con = duckdb.connect()
con.sql("select 1 as test").write_parquet("test.parquet", row_groups_per_file=2)
OS:

Ubuntu Linux x86_64

DuckDB Package Version:

1.5.0

Python Version:

1.13.1

Full Name:

Niccolò Cantù

Affiliation:

Norwegian Institute for Nature Research (NINA)

What is the latest build you tested with? If possible, we recommend testing with the latest nightly build.

I have tested with a stable release

Did you include all relevant data sets for reproducing the issue?

Not applicable - the reproduction does not require a data set

Did you include all code required to reproduce the issue?
  • Yes, I have
Did you include all relevant configuration to reproduce the issue?
  • Yes, I have
主要语言
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