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https://github.com/meilisearch/MeiliSearch
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Improve the infos biggest-value subcommand to support facets
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@ -229,42 +229,93 @@ fn biggest_value_sizes(index: &Index, rtxn: &heed::RoTxn, limit: usize) -> anyho
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use std::cmp::Reverse;
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use std::collections::BinaryHeap;
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use heed::types::{Str, ByteSlice};
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use crate::heed_codec::BEU32StrCodec;
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use crate::facet::FacetType;
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use crate::heed_codec::facet::{FacetValueStringCodec, FacetValueF64Codec, FacetValueI64Codec};
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let Index {
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env: _env,
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main,
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word_docids,
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docid_word_positions,
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word_pair_proximity_docids,
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facet_field_id_value_docids,
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documents,
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} = index;
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let main_name = "main";
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let word_docids_name = "word_docids";
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let docid_word_positions_name = "docid_word_positions";
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let word_pair_proximity_docids_name = "word_pair_proximity_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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let mut heap = BinaryHeap::with_capacity(limit + 1);
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if limit > 0 {
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let words_fst = index.words_fst(rtxn)?;
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heap.push(Reverse((words_fst.as_fst().as_bytes().len(), format!("words-fst"), main_name)));
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if heap.len() > limit { heap.pop(); }
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if let Some(documents) = index.main.get::<_, Str, ByteSlice>(rtxn, "documents")? {
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heap.push(Reverse((documents.len(), format!("documents"), main_name)));
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if heap.len() > limit { heap.pop(); }
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}
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if let Some(documents_ids) = index.main.get::<_, Str, ByteSlice>(rtxn, "documents-ids")? {
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if let Some(documents_ids) = main.get::<_, Str, ByteSlice>(rtxn, "documents-ids")? {
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heap.push(Reverse((documents_ids.len(), format!("documents-ids"), main_name)));
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if heap.len() > limit { heap.pop(); }
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}
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for result in index.word_docids.as_polymorph().iter::<_, Str, ByteSlice>(rtxn)? {
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for result in word_docids.remap_data_type::<ByteSlice>().iter(rtxn)? {
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let (word, value) = result?;
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heap.push(Reverse((value.len(), word.to_string(), word_docids_name)));
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if heap.len() > limit { heap.pop(); }
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}
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for result in index.docid_word_positions.as_polymorph().iter::<_, BEU32StrCodec, ByteSlice>(rtxn)? {
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for result in docid_word_positions.remap_data_type::<ByteSlice>().iter(rtxn)? {
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let ((docid, word), value) = result?;
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let key = format!("{} {}", docid, word);
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heap.push(Reverse((value.len(), key, docid_word_positions_name)));
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if heap.len() > limit { heap.pop(); }
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}
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for result in word_pair_proximity_docids.remap_data_type::<ByteSlice>().iter(rtxn)? {
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let ((word1, word2, prox), value) = result?;
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let key = format!("{} {} {}", word1, word2, prox);
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heap.push(Reverse((value.len(), key, word_pair_proximity_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(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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let facet_name = fields_ids_map.name(field_id).unwrap();
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let iter = facet_field_id_value_docids.prefix_iter(&rtxn, &[field_id])?;
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let iter = match field_type {
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FacetType::String => {
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let iter = iter.remap_types::<FacetValueStringCodec, ByteSlice>()
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.map(|r| r.map(|((_, k), v)| (k.to_string(), v)));
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Box::new(iter) as Box<dyn Iterator<Item=_>>
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},
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FacetType::Float => {
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let iter = iter.remap_types::<FacetValueF64Codec, ByteSlice>()
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.map(|r| r.map(|((_, k), v)| (k.to_string(), v)));
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Box::new(iter)
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},
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FacetType::Integer => {
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let iter = iter.remap_types::<FacetValueI64Codec, ByteSlice>()
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.map(|r| r.map(|((_, k), v)| (k.to_string(), v)));
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Box::new(iter)
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},
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};
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for result in iter {
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let (fvalue, value) = result?;
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let key = format!("{} {}", facet_name, fvalue);
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heap.push(Reverse((value.len(), key, facet_field_id_value_docids_name)));
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if heap.len() > limit { heap.pop(); }
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}
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}
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for result in documents.remap_data_type::<ByteSlice>().iter(rtxn)? {
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let (id, value) = result?;
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heap.push(Reverse((value.len(), id.to_string(), documents_name)));
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if heap.len() > limit { heap.pop(); }
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}
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}
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let stdout = io::stdout();
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