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fix: Fix NumPy - PyArrow array type mapping in Trino offline store #5393

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Merged
franciscojavierarceo merged 3 commits into from
Jun 4, 2025
Merged

fix: Fix NumPy - PyArrow array type mapping in Trino offline store #5393

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6610a75
fix: remove forced schema when converting pandas to pyarrow table
ebolblga May 27, 2025
dd118d6
fix: add arrays to trino supported types in docs
ebolblga May 27, 2025
cd1f210
chore: linting
ebolblga May 27, 2025
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fix: add arrays to trino supported types in docs 
Signed-off-by: ebolblga <kkochanovskiy@gmail.com>
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@ebolblga
ebolblga committed Jun 3, 2025
commit dd118d6a506f06ec5abbac0cdedb83fa7e19d3e8
2 changes: 1 addition & 1 deletion docs/reference/data-sources/overview.md
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Expand Up @@ -28,4 +28,4 @@ Below is a matrix indicating which data sources support which types.
| `float64` | yes | yes | yes | yes | yes | yes | yes | yes |
| `bool` | yes | yes | yes | yes | yes | yes | yes | yes |
| `timestamp` | yes | yes | yes | yes | yes | yes | yes | yes |
| array types | yes | yes | yes | no | yes | yes | no | no |
| array types | yes | yes | yes | no | yes | yes | yes | no |
4 changes: 2 additions & 2 deletions docs/reference/data-sources/trino.md
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Expand Up @@ -8,7 +8,7 @@ These can be specified either by a table reference or a SQL query.
## Disclaimer

The Trino data source does not achieve full test coverage.
Please do not assume complete stability.
Please do not assume complete stability.

## Examples

Expand All @@ -30,5 +30,5 @@ The full set of configuration options is available [here](https://rtd.feast.dev/

## Supported Types

Trino data sources support all eight primitive types, but currently do not support array types.
Trino data sources support all eight primitive types and their corresponding array types.
For a comparison against other batch data sources, please see [here](overview.md#functionality-matrix).