cfrancois7 commented on issue #10709:
URL: https://github.com/apache/iceberg/issues/10709#issuecomment-2312056270
I tried something similar with my local config:
```
from pyiceberg.catalog.sql import SqlCatalog
from pyiceberg.catalog import load_catalog
warehouse_path = "local_s3"
catalog = SqlCatalog(
"catalog_1",
**{
"uri": f"sqlite:///{warehouse_path}/catalog.db",
"warehouse":"s3://iceberg",
"s3.endpoint": "http://localhost:9001";,
"s3.access-key-id": "minio_user",
"s3.secret-access-key": "minio1234",
},
)
catalog.create_namespace_if_not_exists('test')
```
And then , the creation of the table raise one error.
```
# Define Schema for Projects Table
projects_schema = pa.schema([
pa.field('id', pa.uint8(), nullable=False),
pa.field('name', pa.string(), nullable=False),
pa.field('description', pa.string()),
pa.field('creation_date', pa.timestamp('s')),
pa.field('modification_date', pa.timestamp('s'))
])
projects_table = catalog.create_table_if_not_exists(
'test.projects',
schema=projects_schema,
)
```
The error:
```
OSError: When getting information for key
'test.db/projects/metadata/00000-5a3bb77f-7161-4bfe-a7af-b823f6f0cb71.metadata.json'
in bucket 'iceberg': AWS Error UNKNOWN (HTTP status 400) during HeadObject
operation: No response body.
```
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