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https://github.com/meilisearch/MeiliSearch
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Compute the biggest values of the words_level_positions_docids
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@ -346,6 +346,7 @@ fn biggest_value_sizes(index: &Index, rtxn: &heed::RoTxn, limit: usize) -> anyho
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let docid_word_positions_name = "docid_word_positions";
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let word_prefix_pair_proximity_docids_name = "word_prefix_pair_proximity_docids";
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let word_pair_proximity_docids_name = "word_pair_proximity_docids";
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let word_level_position_docids_name = "word_level_position_docids";
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let facet_field_id_value_docids_name = "facet_field_id_value_docids";
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let documents_name = "documents";
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@ -402,6 +403,13 @@ fn biggest_value_sizes(index: &Index, rtxn: &heed::RoTxn, limit: usize) -> anyho
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if heap.len() > limit { heap.pop(); }
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}
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for result in word_level_position_docids.remap_data_type::<ByteSlice>().iter(rtxn)? {
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let ((word, level, left, right), value) = result?;
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let key = format!("{} {} {:?}", word, level, left..=right);
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heap.push(Reverse((value.len(), key, word_level_position_docids_name)));
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if heap.len() > limit { heap.pop(); }
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}
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let faceted_fields = index.faceted_fields_ids(rtxn)?;
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let fields_ids_map = index.fields_ids_map(rtxn)?;
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for (field_id, field_type) in faceted_fields {
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@ -549,7 +557,7 @@ fn words_level_positions_docids(
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{
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let stdout = io::stdout();
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let mut wtr = csv::Writer::from_writer(stdout.lock());
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wtr.write_record(&["word", "level", "position_range", "documents_count", "documents_ids"])?;
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wtr.write_record(&["word", "level", "positions", "documents_count", "documents_ids"])?;
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for word in words.iter().map(AsRef::as_ref) {
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let range = {
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@ -561,14 +569,18 @@ fn words_level_positions_docids(
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let ((w, level, left, right), docids) = result?;
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if word != w { break }
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let level = level.to_string();
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let count = docids.len().to_string();
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let docids = if debug {
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format!("{:?}", docids)
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} else {
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format!("{:?}", docids.iter().collect::<Vec<_>>())
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};
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let position_range = format!("{:?}", left..=right);
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let position_range = if level == 0 {
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format!("{:?}", left)
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} else {
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format!("{:?}", left..=right)
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};
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let level = level.to_string();
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wtr.write_record(&[w, &level, &position_range, &count, &docids])?;
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}
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}
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@ -104,16 +104,16 @@ fn compute_positions_levels(
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for result in words_db.iter(rtxn)? {
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let (word, ()) = result?;
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let first_level_size = words_positions_db.remap_data_type::<DecodeIgnore>()
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.prefix_iter(rtxn, &(word, 0, u32::min_value(), u32::min_value()))?
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.fold(Ok(0usize), |count, result| result.and(count).map(|c| c + 1))?;
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let level_0_range = {
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let left = (word, 0, u32::min_value(), u32::min_value());
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let right = (word, 0, u32::max_value(), u32::max_value());
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left..=right
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};
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let first_level_size = words_positions_db.remap_data_type::<DecodeIgnore>()
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.range(rtxn, &level_0_range)?
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.fold(Ok(0usize), |count, result| result.and(count).map(|c| c + 1))?;
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// Groups sizes are always a power of the original level_group_size and therefore a group
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// always maps groups of the previous level and never splits previous levels groups in half.
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let group_size_iter = (1u8..)
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@ -132,7 +132,7 @@ fn compute_positions_levels(
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let mut group_docids = RoaringBitmap::new();
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for (i, result) in words_positions_db.range(rtxn, &level_0_range)?.enumerate() {
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let ((_field_id, _level, value, _right), docids) = result?;
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let ((_word, _level, value, _right), docids) = result?;
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if i == 0 {
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left = value;
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