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# Background:
- Currently, we use from_pretrained with the cache_dir option to load the model and upload the cache directory to the BucketFS
- The current approach in general works, but seems to c…
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When listing available extensions, EM queries all files in BucketFS to check if the required files for an extension are present. This was meant as a performance optimization to avoid listing files mul…
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Add a Jupyter Notebook example showcasing invoke a trained AzureML model from Exasol Database via UDF.
This should include all functionality and key-words.
Builds on https://github.com/exasol/data…
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**TLS in User Defined Functions (UDFs)**
- "We are going to use [curl to upload the truststore](https://docs.exasol.com/db/latest/database_concepts/bucketfs/file_access.htm#cURL) file to the defaul…
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# Background
- The directory structure where pre-trained models are downloaded has been changed with transformers 4.22
- While the models files directly are downloaded into the cache directory in…
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# Background:
The BucketFS can be quite complex, for that reason, an overview might be helpful.
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In order to support the [extension mananger](https://github.com/exasol/extension-manager/) we need to add an extension that manages the Kinesis connector.
## Steps to configure Kinesis connector
S…
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## Background
Currently _ITDE_ uses custom ports for
- DB (8888)
- BucketFs (6583)
It would be better from a customer point of view to use the standard ports:
- DB (8563)
- Optional: Bucket…
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Ticket mentioned as "IntRef" reported that when user cancels an SQL query in Exasol database the resulting Hive query in [VSHIVE](https://github.com/exasol/hive-virtual-schema) does not get canceled.
…
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# Summary
Uploading a pickled ... model to `BucketFS` fails with an exception.
## Reproducing the Issue
**_Product ML file_**
```python
import pandas as pd
import numpy as np
from sklearn.lin…