We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
When I read in a parquet dataset saved with Spark on a databricks catalog I get lots of . I tried
import glob cudf_dfs = [cudf.read_parquet(file) for file in glob.glob("/Volumes/path/*.parquet")] cudf_df = cudf.concat(cudf_dfs,ignore_index=True)
and
import dask_cudf dask_df = dask_cudf.read_parquet("/Volumes/path/*.parquet",chunksize='50MB') cudf_df = dask_df.compute()
and I also tried using the pyarrow engine on the load which overflows.
Let me know if you need some code to replicate but it should be easy. Any spark based parquet would do.
The text was updated successfully, but these errors were encountered:
No branches or pull requests
When I read in a parquet dataset saved with Spark on a databricks catalog I get lots of .
I tried
and
and I also tried using the pyarrow engine on the load which overflows.
Let me know if you need some code to replicate but it should be easy. Any spark based parquet would do.
The text was updated successfully, but these errors were encountered: