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ensure null-counts are written for all-null columns #307
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@@ -607,9 +607,11 @@ impl<T: DataType> ColumnWriterImpl<T> { | |
let max_def_level = self.descr.max_def_level(); | ||
let max_rep_level = self.descr.max_rep_level(); | ||
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// always update column NULL count, no matter if page stats are used | ||
self.num_column_nulls += self.num_page_nulls; | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. hmm just curious why we don't need to update for &level in levels {
if level == self.descr.max_def_level() {
values_to_write += 1;
} else if calculate_page_stats {
self.num_page_nulls += 1
}
} There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. There are two variables here: There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more.
(Sorry for the slow response) This is the part I don't quite understand. There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. I'm not sure I follow:
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. I meant the second: There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. I've just checked: #[test]
fn statistics_null_counts_big_mixed() {
// check that null-count statistics work for larger data sizes
let len = 1_000_000u64;
let data: Vec<_> = (0..len).map(|x| if x % 2 == 0 {Some(x)} else {None}).collect();
let values = Arc::new(UInt64Array::from(data));
let file = one_column_roundtrip("null_counts_big_mixed", values, true);
// check statistics are valid
let reader = SerializedFileReader::new(file).unwrap();
let metadata = reader.metadata();
assert_eq!(metadata.num_row_groups(), 1);
let row_group = metadata.row_group(0);
assert_eq!(row_group.num_columns(), 1);
let column = row_group.column(0);
let stats = column.statistics().unwrap();
assert_eq!(stats.null_count(), len / 2);
} This triggers the There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Oops, you're right. I misread |
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let page_statistics = if calculate_page_stat { | ||
self.update_column_min_max(); | ||
self.num_column_nulls += self.num_page_nulls; | ||
Some(self.make_page_statistics()) | ||
} else { | ||
None | ||
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I am not entirely happy with this test since it requires an arrow data structure to actually test an parquet-part. It would probably be nice to have a more "pure" test as well, however I wasn't able to formulate an easy one.
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I would say this looks more like an "integration" test rather than "unit" test (in the sense that you connect some higher level APIs and ensure the output is reasonable). I personally don't see any problems with this approach.
to remove the dependency on Arrow you would probably have to use the
SerializedFileWriter
API directly: https://docs.rs/parquet/4.0.0/parquet/file/writer/trait.FileWriter.htmlBut I think that would end up being quite a bit more code