aws/aws-sdk-pandas

`athena.to_parquet` fails when `mode=overwrite_partitions` and `partition_cols` contains something like `hour(timestamp_col)`.

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#2,845 创建于 2024年6月4日

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 (3 评论) (0 反应) (0 负责人)Python (3,560 star) (630 fork)batch import
backlogbughelp wanted

描述

Describe the bug

When using s3.to_parquet to update a parquet file that is partitioned by a time interval or a timestamp "attribute" (such as year, month, hour, etc.), the function fails because for this mode the implementation assumes that the values of partition_cols are names of the parquet / table columns, and it does not find something like hour(column) in the dataframe columns.

I think the problem is this line, which uses the function delete_from_iceberg_table, which expects column names.

How to Reproduce

Expected behavior

I expect the partition_cols option to accept anything that can be used to partition a parquet. In particular, anything that is accepted when the argument mode is append or overwrite instead of overwrite_partitions.

Your project

No response

Screenshots

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OS

Ubuntu 22.04

Python version

3.10

AWS SDK for pandas version

3.7.3

Additional context

No response

贡献者指南

技术栈
pythonpandassql
领域
datacloud
议题类型
bug
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3
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前置要求
PythonAWS Athenapandaspartitioning concepts
新手友好度1-100 的估计分数，表示该议题对首次贡献者的友好程度。
55
研究方向
Examine line 452 in awswrangler/athena/ write iceberg.py. Understand how delete from iceberg table uses partition cols. The fix should parse expressions like hour(timestamp col) to extract the column name and apply the transformation when partitioning. Check existing tests for overwrite partitions mode and add a test case with expression based partitions.