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https://issues.apache.org/jira/browse/ARROW-14930?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17456546#comment-17456546
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Antoine Pitrou edited comment on ARROW-14930 at 12/9/21, 5:48 PM:
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try with local filesystem, with the -v options, something like this:
{code}
docker run -v /cto/ring/data:/usr/src/app/localData -v
/cto/ring/metadata:/usr/src/app/localMetadata -p 8000:8000 -e SSL=TRUE -e
ENDPOINT=s3.scality.test -e LOG_LEVEL=trace -e REMOTE_MANAGEMENT_DISABLE=1
zenko/cloudserver
{code}
when running
{code}
f.create_dir('bucket')
{code}
i get this error:
{code}
OSError: When creating bucket 'bucket': AWS Error [code 100]: Unable to parse
ExceptionName: MalformedXML Message: The XML you provided was not well-formed
or did not validate against our published schema.
{code}
was (Author: JIRAUSER281000):
try with local filesystem, with the -v options, something like this:
docker run -v /cto/ring/data:/usr/src/app/localData -v
/cto/ring/metadata:/usr/src/app/localMetadata -p 8000:8000 -e SSL=TRUE -e
ENDPOINT=s3.scality.test -e LOG_LEVEL=trace -e REMOTE_MANAGEMENT_DISABLE=1
zenko/cloudserver
when running
f.create_dir('bucket')
i get this error:
OSError: When creating bucket 'bucket': AWS Error [code 100]: Unable to parse
ExceptionName: MalformedXML Message: The XML you provided was not well-formed
or did not validate against our published schema.
> [C++][Python] FileNotFound with Scality accessed through S3 APIs
> ----------------------------------------------------------------
>
> Key: ARROW-14930
> URL: https://issues.apache.org/jira/browse/ARROW-14930
> Project: Apache Arrow
> Issue Type: Bug
> Components: C++, Python
> Affects Versions: 6.0.1
> Environment: linux + python 3.8
> Reporter: Luis Morales
> Priority: Major
> Labels: s3
> Fix For: 6.0.2
>
>
> When using dataset.Dataset with S3FileSystem with compatible S3 object
> sotrage, get an FileNotFoundError.
>
> My code:
>
> scality = fs.S3FileSystem(access_key='accessKey1',
> secret_key='verySecretKey1', endpoint_override="http://localhost:8000";,
> region="")
> data = ds.dataset("dasynth/parquet/taxies/2019_june/", format="parquet",
> partitioning="hive", filesystem=scality)
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