yuqi1129 opened a new issue, #9748:
URL: https://github.com/apache/gravitino/issues/9748
### Describe the feature
The following example is what Lance supports to run a tensorflow to access
Lance tables
```python
import tensorflow as tf
import lance
# Create tf dataset
ds = lance.tf.data.from_lance("s3://my-bucket/my-dataset")
# Chain tf dataset with other tf primitives
for batch in ds.shuffling(32).map(lambda x: tf.io.decode_png(x["image"])):
print(batch)
```
It's not very elegant and hard to maintain.
```
import tensorflow as tf
import lance
import lance.tf.data
import lance_namespace as ln
ns = ln.connect("rest", {"uri": "http://localhost:9101/lance"})
ds = lance.tf.data.from_lance(
namespace=ns,
table_id=["lance_catalog", "schema", "my_table52"],
batch_size=128,
columns=["id", "value"],
filter="id > 10",
ignore_namespace_table_storage_options=False,
)
ds....
```
### Motivation
_No response_
### Describe the solution
_No response_
### Additional context
_No response_
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