我正在Amazon EMR Cluster中运行一个spark应用程序,并且从几天前开始,每当尝试使用熊猫从S3读取文件时,都会出现以下错误。我添加了引导操作来安装pandas,fsspec和s3fs。
代码:
import pandas as pd
df = pd.read_csv(s3_path)
错误日志:
Traceback (most recent call last):
File "spark.py", line 84, in <module>
df=pd.read_csv('s3://<bucketname>/<filename>.csv')
File "/usr/local/lib64/python3.7/site-packages/pandas/io/parsers.py", line 686, in read_csv
return _read(filepath_or_buffer, kwds)
File "/usr/local/lib64/python3.7/site-packages/pandas/io/parsers.py", line 435, in _read
filepath_or_buffer, encoding, compression
File "/usr/local/lib64/python3.7/site-packages/pandas/io/common.py", line 222, in get_filepath_or_buffer
filepath_or_buffer, mode=mode or "rb", **(storage_options or {})
File "/usr/local/lib/python3.7/site-packages/fsspec/core.py", line 133, in open
out = self.__enter__()
File "/usr/local/lib/python3.7/site-packages/fsspec/core.py", line 101, in __enter__
f = self.fs.open(self.path, mode=mode)
File "/usr/local/lib/python3.7/site-packages/fsspec/spec.py", line 844, in open
**kwargs
File "/usr/local/lib/python3.7/site-packages/s3fs/core.py", line 394, in _open
autocommit=autocommit, requester_pays=requester_pays)
File "/usr/local/lib/python3.7/site-packages/s3fs/core.py", line 1276, in __init__
cache_type=cache_type)
File "/usr/local/lib/python3.7/site-packages/fsspec/spec.py", line 1134, in __init__
self.details = fs.info(path)
File "/usr/local/lib/python3.7/site-packages/s3fs/core.py", line 719, in info
return sync(self.loop, self._info, path, bucket, key, kwargs, version_id)
File "/usr/local/lib/python3.7/site-packages/fsspec/asyn.py", line 51, in sync
raise exc.with_traceback(tb)
File "/usr/local/lib/python3.7/site-packages/fsspec/asyn.py", line 35, in f
result[0] = await future
File "/usr/local/lib/python3.7/site-packages/s3fs/core.py", line 660, in _info
Key=key, **version_id_kw(version_id), **self.req_kw)
File "/usr/local/lib/python3.7/site-packages/s3fs/core.py", line 214, in _call_s3
raise translate_boto_error(err)
File "/usr/local/lib/python3.7/site-packages/s3fs/core.py", line 207, in _call_s3
return await method(**additional_kwargs)
File "/usr/local/lib/python3.7/site-packages/aiobotocore/client.py", line 121, in _make_api_call
operation_model, request_dict, request_context)
File "/usr/local/lib/python3.7/site-packages/aiobotocore/client.py", line 140, in _make_request
return await self._endpoint.make_request(operation_model, request_dict)
File "/usr/local/lib/python3.7/site-packages/aiobotocore/endpoint.py", line 90, in _send_request
exception):
File "/usr/local/lib/python3.7/site-packages/aiobotocore/endpoint.py", line 199, in _needs_retry
caught_exception=caught_exception, request_dict=request_dict)
File "/usr/local/lib/python3.7/site-packages/aiobotocore/hooks.py", line 29, in _emit
response = handler(**kwargs)
File "/usr/local/lib/python3.7/site-packages/botocore/utils.py", line 1225, in redirect_from_error
new_region = self.get_bucket_region(bucket, response)
File "/usr/local/lib/python3.7/site-packages/botocore/utils.py", line 1283, in get_bucket_region
headers = response['ResponseMetadata']['HTTPHeaders']
TypeError: 'coroutine' object is not subscriptable
sys:1: RuntimeWarning: coroutine 'AioBaseClient._make_api_call' was never awaited
s3fs可能有问题,因为这似乎是唯一收到更新的软件包,但是我在熊猫的更新日志中找不到与此相关的任何东西吗?
答案 0 :(得分:2)
Dask/s3fs团队已确认这是一个错误。此Github issue建议aiobotocore无法获得S3存储桶的 region_name 。
如果您遇到相同的问题,请考虑将s3fs降级为0.4.2
,或者尝试将环境变量AWS_DEFAULT_REGION
设置为解决方法。
编辑:aiobotocore=1.1.1
的最新版本已对其进行了修复。如果您遇到相同的问题,请升级aiobotocore和s3fs。