MislavSag commented on issue #45935: URL: https://github.com/apache/arrow/issues/45935#issuecomment-2768833451
Hello @amoeba , Here is the schema Schema date: date32[day] autoarima_1_66_PointForecast: double autoarima_1_66_Lo80: double autoarima_1_66_Hi80: double autoarima_1_66_Lo95: double autoarima_1_66_Hi95: double autoarima_last_66_PointForecast: double autoarima_last_66_Lo80: double autoarima_last_66_Hi80: double autoarima_last_66_Lo95: double autoarima_last_66_Hi95: double autoarima_mean_66_PointForecast: double autoarima_mean_66_Lo80: double autoarima_mean_66_Hi80: double autoarima_mean_66_Lo95: double autoarima_mean_66_Hi95: double autoarima_sd_66_PointForecast: double autoarima_sd_66_Lo80: double autoarima_sd_66_Hi80: double autoarima_sd_66_Lo95: double autoarima_sd_66_Hi95: double autoarima_1_252_PointForecast: double autoarima_1_252_Lo80: double autoarima_1_252_Hi80: double autoarima_1_252_Lo95: double autoarima_1_252_Hi95: double autoarima_last_252_PointForecast: double autoarima_last_252_Lo80: double autoarima_last_252_Hi80: double autoarima_last_252_Lo95: double autoarima_last_252_Hi95: double autoarima_mean_252_PointForecast: double autoarima_mean_252_Lo80: double autoarima_mean_252_Hi80: double autoarima_mean_252_Lo95: double autoarima_mean_252_Hi95: double autoarima_sd_252_PointForecast: double autoarima_sd_252_Lo80: double autoarima_sd_252_Hi80: double autoarima_sd_252_Lo95: double autoarima_sd_252_Hi95: double nnetar_1_66_PointForecast: double nnetar_1_66_Lo80: double nnetar_1_66_Hi80: double nnetar_1_66_Lo95: double nnetar_1_66_Hi95: double nnetar_last_66_PointForecast: double nnetar_last_66_Lo80: double nnetar_last_66_Hi80: double nnetar_last_66_Lo95: double nnetar_last_66_Hi95: double nnetar_mean_66_PointForecast: double nnetar_mean_66_Lo80: double nnetar_mean_66_Hi80: double nnetar_mean_66_Lo95: double nnetar_mean_66_Hi95: double nnetar_sd_66_PointForecast: double nnetar_sd_66_Lo80: double nnetar_sd_66_Hi80: double nnetar_sd_66_Lo95: double nnetar_sd_66_Hi95: double nnetar_1_252_PointForecast: double nnetar_1_252_Lo80: double nnetar_1_252_Hi80: double nnetar_1_252_Lo95: double nnetar_1_252_Hi95: double nnetar_last_252_PointForecast: double nnetar_last_252_Lo80: double nnetar_last_252_Hi80: double nnetar_last_252_Lo95: double nnetar_last_252_Hi95: double nnetar_mean_252_PointForecast: double nnetar_mean_252_Lo80: double nnetar_mean_252_Hi80: double nnetar_mean_252_Lo95: double nnetar_mean_252_Hi95: double nnetar_sd_252_PointForecast: double nnetar_sd_252_Lo80: double nnetar_sd_252_Hi80: double nnetar_sd_252_Lo95: double nnetar_sd_252_Hi95: double ets_1_66_PointForecast: double ets_1_66_Lo80: double ets_1_66_Hi80: double ets_1_66_Lo95: double ets_1_66_Hi95: double ets_last_66_PointForecast: double ets_last_66_Lo80: double ets_last_66_Hi80: double ets_last_66_Lo95: double ets_last_66_Hi95: double ets_mean_66_PointForecast: double ets_mean_66_Lo80: double ets_mean_66_Hi80: double ets_mean_66_Lo95: double ets_mean_66_Hi95: double ets_sd_66_PointForecast: double ets_sd_66_Lo80: double ets_sd_66_Hi80: double ets_sd_66_Lo95: double ets_sd_66_Hi95: double ets_1_252_PointForecast: double ets_1_252_Lo80: double ets_1_252_Hi80: double ets_1_252_Lo95: double ets_1_252_Hi95: double ets_last_252_PointForecast: double ets_last_252_Lo80: double ets_last_252_Hi80: double ets_last_252_Lo95: double ets_last_252_Hi95: double ets_mean_252_PointForecast: double ets_mean_252_Lo80: double ets_mean_252_Hi80: double ets_mean_252_Lo95: double ets_mean_252_Hi95: double ets_sd_252_PointForecast: double ets_sd_252_Lo80: double ets_sd_252_Hi80: double ets_sd_252_Lo95: double ets_sd_252_Hi95: double symbol: string The problem start with this column ``` > schema(x)[88] Schema ets_last_66_Lo80: double ``` I have parquet database grouped by symbol column. For most of symbols my arrow/dplyr pipeline works, but for some it returns above error. could it be that accidentaly this column is saved as string for some symbols so it "doesn't know" how to import it as double? -- 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]
