# Reading data with 0 row groups

**URL:** <https://discourse.julialang.org/t/reading-data-with-0-row-groups/127318>\
**Category:** Data\
**Tags:** parquet\
**Created:** [March 24, 2025, 7:07pm UTC](https://discourse.julialang.org/t/reading-data-with-0-row-groups/127318 "2025-03-24T19:07:45Z")\
**Posts on this page:** 1\
**Page:** 1

<div class="post-metadata">

**Author:** ![phchavesmaia](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/phchavesmaia/32/214892_2.png) [@phchavesmaia](https://discourse.julialang.org/u/phchavesmaia)\
**Post date:** [March 24, 2025, 7:07pm UTC](https://discourse.julialang.org/t/reading-data-with-0-row-groups/127318/1 "2025-03-24T19:07:45Z")

</div>

Hello everyone,

I am trying to work with big data in Julia. I just exported a .parquet file/folder using python’s `dask` library and wanted to load it in Julia. It follows a representation of my code

```julia
using Parquet2: Dataset

ds = Dataset("path/to/my/file.parquet/")
df = DataFrame(ds; copycols=false)

```

Julia reports that the `ds` object relates to a dataset amounting to 22146824 bytes – so it is definately non-empty. I also cross-check this information using python, where the data is properly read by `dask`.

However, the `df` object is an empty dataframe and when I run `println("Number of row groups: ", length(ds.row_groups))` I get that there are 0 row groups, which is unexpected.

Does anyone have any tips or insights to share?

Bestest,  
P.