ifxchris commented on issue #1994:
URL:
https://github.com/apache/iceberg-python/issues/1994#issuecomment-2897769050
Hi all,
we are experiencing the same issue but a bit more severe:
~~~
avg_row_size_bytes = tbl.nbytes / tbl.num_rows
target_rows_per_file = target_file_size // avg_row_size_bytes
batches = tbl.to_batches(max_chunksize=target_rows_per_file)
~~~
Our data is loaded from a parquet file with the following metadata:
`Row group 0: count: 1 4.163 MB records start: 4 total(compressed):
4.163 MB total(uncompressed):40.739 MB`
So we only have one record in the table.
According to tbl.nbytes this is around 600MB in memory.
Since this one record is bigger than 512Mb in memory, `target_rows_per_file`
is calculated to be zero.
As a result the `max_chunksize` is set to 0 and pyiceberg will crash due to
that.
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