adrienchaton commented on issue #14229: URL: https://github.com/apache/arrow/issues/14229#issuecomment-1263631765
Thanks for the tips. I tried loading the large dataframe column by column and found out two columns that caused the error. These columns are the only ones containing themselves lists of integers (per row). One observation, if I load these columns from the smaller dataframes (e.g. those I got after chunking the large dataframe into 20 files) I do not get the error. But if I try to load these columns from the large dataframe storage, then I get the error. This explains why I started to have this error that I never saw before. I gathered more metadata in my dataframes, amongst were some metadata formatted as lists of integers and then I trigger this error. In the end, it seems like if I store a ~300M rows dataframe into a single parquet, I do not get this reading error if all columns contains a single element per row (e.g. a string, an integer, a float and so on). But if I had a column which contains lists of ~200 integers per row, I trigger the error. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
