jkleinkauff commented on issue #1032:
URL:
https://github.com/apache/iceberg-python/issues/1032#issuecomment-2278564297
Hey, thank you for taking a time to answer me!
1. My files are in S3.
2. Sure! It's something I could do on my end? Do you have any recommendation
on that?
(I'm not sure if it's the same, running a download profiler (I've written
something using psutil) in on file it takes something between 25s to complete
it)
Yeah, even with limit=1 it seems scan is returning both files (just an
observation, maybe it's intended):
```python
df = table.scan(limit=1)
# pa_table = df.to_arrow()
[print(task.file.file_path) for task in df.plan_files()]
#
s3://xxx/xxx/curitiba_starts_june/data/00000-0-6984da88-fe64-4765-9137-739072becfb1.parquet
#
s3://xxx/xxx/curitiba_starts_june/data/00000-0-1de29b8f-2e8c-4543-9663-f769d53b17b7.parquet
```
Output of table.inspect.manifests().to_pandas()
```python
❯ python pyiceberg_duckdb.py
content path length
partition_spec_id ... added_delete_files_count existing_delete_files_count
deleted_delete_files_count partition_summaries
0 0 s3://data-lake-jho/bronze/curitiba_starts_june... 10433
0 ... 0 0
0 []
1 0 s3://data-lake-jho/bronze/curitiba_starts_june... 10430
0 ... 0 0
0 []
[2 rows x 12 columns]
```
I can also share the files or a direct link to my files. Thank you!
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