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Read Parquet exceptions thrown with PyArrow S3FileSystem

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难度
3/5
预计耗时
1-2 天
新手友好度
45/100
Issue 类型
缺陷
描述清晰度
描述清楚
活跃度
停滞
技术栈
aws, python
领域
cloud, data

调研方向

从 dask_expr/io/parquet.py 开始,重点检查 ReadParquetPyarrowFS.normalized_path 和 _normalize_and_strip_protocol,并使用提供的 glob 和 list 示例。根据 traceback 验证行为,然后添加或更新相关测试,使 glob 路径和可迭代路径能够在 pyarrow.fs.S3FileSystem 中正常工作且不会出现递归错误。

由索引模型根据 Issue 内容生成。

描述

Describe the issue:

Hi team,

We are intensive users of Dask and it's a great product!

We use Apache Arrow's pyarrow.fs.S3FileSystem in our ecosystem rather than s3fs.S3FileSystem due to performance and deadlock issues that were found during multiprocessing.

We're able to retrieve single files and entire directories of many files successfully. But using either a glob path or a interable of paths the read_parquet API throws exceptions with maximum recursion depth.

If would really helpful if the team can investigate? Many thanks!

Minimal Verifiable Example:

import dask.dataframe
import pyarrow.fs


# pyarrow s3 file system client
arrow_s3 = pyarrow.fs.S3FileSystem(
    access_key=s3_tokens["AccessKeyId"],
    session_token=s3_tokens["SessionToken"],
    secret_key=s3_tokens["SecretAccessKey"],
    region=_REGION,
    scheme="http",
)

# works as expected for both target_1 and target_2
df = dask.dataframe.read_parquet(
    path=f"s3://{bucket}/{key}/target_1.parquet",
    filesystem=arrow_s3,
)

# works as expected for entire folder, numerous parquet files
df = dask.dataframe.read_parquet(
    path=f"s3://{bucket}/{key}",
    filesystem=arrow_s3,
)
df

# glob path raises exception
df = dask.dataframe.read_parquet(
    path=f"s3://{bucket}/{key}/*.parquet",
    filesystem=arrow_s3,
)

# iterable of paths, either tuple or list, raises exception
df = dask.dataframe.read_parquet(
    path=[
        f"s3://{bucket}/{key}/target_1.parquet",
        f"s3://{bucket}/{key}/target_2.parquet",
    ],    
    filesystem=arrow_s3,
)

Exception:

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
File /env/jupyter/venv/lib/python3.12/site-packages/dask_expr/_core.py:446, in Expr.__getattr__(self, key)
    445 try:
--> 446     return object.__getattribute__(self, key)
    447 except AttributeError as err:

File /usr/local/lib/python3.12/functools.py:995, in cached_property.__get__(self, instance, owner)
    994 if val is _NOT_FOUND:
--> 995     val = self.func(instance)
    996     try:

File /env/jupyter/venv/lib/python3.12/site-packages/dask_expr/io/parquet.py:716, in ReadParquetPyarrowFS.normalized_path(self)
    714 @cached_property
    715 def normalized_path(self):
--> 716     return _normalize_and_strip_protocol(self.path)

File /env/jupyter/venv/lib/python3.12/site-packages/dask_expr/io/parquet.py:1658, in _normalize_and_strip_protocol(path)
   1657 for sep in protocol_separators:
-> 1658     split = path.split(sep, 1)
   1659     if len(split) > 1:

AttributeError: 'list' object has no attribute 'split'

During handling of the above exception, another exception occurred:

...

RecursionError: maximum recursion depth exceeded while calling a Python object
Normalization failed: type=AttributeError args=<unknown>

Environment:
OS: Amazon Linux release 2 (Karoo)
Linux: 4.14.336-257.566.amzn2.x86_64
Python: 3.12.2

Packages:
arrow: 1.3.0
dask: 2024.3.1
dask-expr: 1.0.4
numpy: 1.26.4
pandas: 2.2.1
pyarrow: 15.0.2
pyarrow-hotfix: 0.6
Install method pip

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