MLO-70 multi partition support#59
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| df = self._execute(feature_group, run_date, pipeline) | ||
| self.writer.write(df, info_date, target) | ||
| records = self._check_written(info_date, target) | ||
| records = self._check_written(info_date, target, df) |
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This df comes from df._execute and when you run .collect() on it, it will trigger the whole computation once again. The whole purpose of _check_written instead of df.count() was that we don't compute the same dataframe twice as some of our computations are heavy
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| df = self.reader.get_table( | ||
| table.get_table_path(), date_column=table.partition, date_from=date, date_to=date, filters=filters | ||
| ) |
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date_from=info_date, date_to=info_date
tryhubyshyn-absa
approved these changes
Apr 7, 2026
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