samueljackson92 opened a new issue, #10490:
URL: https://github.com/apache/iceberg/issues/10490
### Apache Iceberg version
1.5.2 (latest release)
### Query engine
None
### Please describe the bug 🐞
Hi,
I am experimenting with setting up Iceberg locally and I am trying to
connect to a custom s3 endpoint to use as the backend for my project.
I am getting the following HTTP error when trying to create a new table:
```
Traceback (most recent call last):
File
"/Users/rt2549/miniconda3/envs/iceberg/lib/python3.11/site-packages/pyiceberg/catalog/rest.py",
line 470, in create_table
response.raise_for_status()
File
"/Users/rt2549/miniconda3/envs/iceberg/lib/python3.11/site-packages/requests/models.py",
line 1024, in raise_for_status
raise HTTPError(http_error_msg, response=self)
requests.exceptions.HTTPError: 500 Server Error: Server Error for url:
http://localhost:8181/v1/namespaces/default/tables
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/Users/rt2549/projects/test-db/ingest.py", line 29, in <module>
main()
File "/Users/rt2549/projects/test-db/ingest.py", line 22, in main
table = catalog.create_table(
^^^^^^^^^^^^^^^^^^^^^
File
"/Users/rt2549/miniconda3/envs/iceberg/lib/python3.11/site-packages/pyiceberg/catalog/rest.py",
line 472, in create_table
self._handle_non_200_response(exc, {409: TableAlreadyExistsError})
File
"/Users/rt2549/miniconda3/envs/iceberg/lib/python3.11/site-packages/pyiceberg/catalog/rest.py",
line 382, in _handle_non_200_response
raise exception(response) from exc
pyiceberg.exceptions.ServerError: SdkClientException: Unable to execute HTTP
request: Remote host terminated the handshake
```
My ingestion script looks like the following:
```python
from pyiceberg.catalog import load_catalog
import pyarrow as pa
import pyarrow.parquet as pq
def main():
s3_config = {
"uri": "http://localhost:8181";,
"s3.endpoint": "https://s3.echo.stfc.ac.uk";,
"s3.access-key-id": "<my-key>",
"s3.secret-access-key": "<my-secret>",
"s3.region": "us-east-1",
"py-io-impl": "pyiceberg.io.pyarrow.PyArrowFileIO",
}
catalog = load_catalog("default", **s3_config)
df: pa.Table = pq.read_table("signals.parquet")
df = df.drop_columns("description")
catalog.create_namespace("default")
table = catalog.create_table(
"default.signals",
schema=df.schema,
)
if __name__ == "__main__":
main()
```
My docker compose is copied from the iceberg tutorial:
```yaml
version: "3"
services:
rest:
image: tabulario/iceberg-rest
container_name: iceberg-rest
networks:
iceberg_net:
ports:
- 8181:8181
environment:
- AWS_ACCESS_KEY_ID=<access-key>
- AWS_SECRET_ACCESS_KEY=<access-secret>
- AWS_REGION=us-east-1
- CATALOG_WAREHOUSE=s3://mast/test/warehouse/
- CATALOG_IO__IMPL=org.apache.iceberg.aws.s3.S3FileIO
- CATALOG_S3_ENDPOINT=https://s3.echo.stfc.ac.uk
networks:
iceberg_net:
```
I can create and `ls` files with my s3 credentials at that endpoint with
other tools with no problem.
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