meilisearch/meilisearch-core/src/query_builder.rs

use hashbrown::HashMap;
use std::convert::TryFrom;
use std::ops::Range;
use std::rc::Rc;
use std::time::{Duration, Instant};
use std::{cmp, mem};

use fst::{IntoStreamer, Streamer};
use log::debug;
use sdset::SetBuf;
use slice_group_by::{GroupBy, GroupByMut};

use crate::database::MainT;
use crate::automaton::{Automaton, AutomatonGroup, AutomatonProducer, QueryEnhancer};
use crate::distinct_map::{BufferedDistinctMap, DistinctMap};
use crate::levenshtein::prefix_damerau_levenshtein;
use crate::raw_document::{raw_documents_from, RawDocument};
use crate::{criterion::Criteria, Document, DocumentId, Highlight, TmpMatch, AttrCount};
use crate::{reordered_attrs::ReorderedAttrs, store, MResult};

pub struct QueryBuilder<'c, 'f, 'd> {
    criteria: Criteria<'c>,
    searchable_attrs: Option<ReorderedAttrs>,
    filter: Option<Box<dyn Fn(DocumentId) -> bool + 'f>>,
    distinct: Option<(Box<dyn Fn(DocumentId) -> Option<u64> + 'd>, usize)>,
    timeout: Option<Duration>,
    main_store: store::Main,
    postings_lists_store: store::PostingsLists,
    documents_fields_counts_store: store::DocumentsFieldsCounts,
    synonyms_store: store::Synonyms,
}

fn multiword_rewrite_matches(
    mut matches: Vec<(DocumentId, TmpMatch)>,
    query_enhancer: &QueryEnhancer,
) -> SetBuf<(DocumentId, TmpMatch)> {
    if true {
        let before_sort = Instant::now();
        matches.sort_unstable();
        let matches = SetBuf::new_unchecked(matches);
        debug!("sorting dirty matches took {:.02?}", before_sort.elapsed());
        return matches;
    }

    let mut padded_matches = Vec::with_capacity(matches.len());

    // we sort the matches by word index to make them rewritable
    matches.sort_unstable_by_key(|(id, match_)| (*id, match_.attribute, match_.word_index));

    // for each attribute of each document
    for same_document_attribute in matches.linear_group_by_key(|(id, m)| (*id, m.attribute)) {
        // padding will only be applied
        // to word indices in the same attribute
        let mut padding = 0;
        let mut iter = same_document_attribute.linear_group_by_key(|(_, m)| m.word_index);

        // for each match at the same position
        // in this document attribute
        while let Some(same_word_index) = iter.next() {
            // find the biggest padding
            let mut biggest = 0;
            for (id, match_) in same_word_index {
                let mut replacement = query_enhancer.replacement(match_.query_index);
                let replacement_len = replacement.len();
                let nexts = iter.remainder().linear_group_by_key(|(_, m)| m.word_index);

                if let Some(query_index) = replacement.next() {
                    let word_index = match_.word_index + padding as u16;
                    let match_ = TmpMatch {
                        query_index,
                        word_index,
                        ..*match_
                    };
                    padded_matches.push((*id, match_));
                }

                let mut found = false;

                // look ahead and if there already is a match
                // corresponding to this padding word, abort the padding
                'padding: for (x, next_group) in nexts.enumerate() {
                    for (i, query_index) in replacement.clone().enumerate().skip(x) {
                        let word_index = match_.word_index + padding as u16 + (i + 1) as u16;
                        let padmatch = TmpMatch {
                            query_index,
                            word_index,
                            ..*match_
                        };

                        for (_, nmatch_) in next_group {
                            let mut rep = query_enhancer.replacement(nmatch_.query_index);
                            let query_index = rep.next().unwrap();
                            if query_index == padmatch.query_index {
                                if !found {
                                    // if we find a corresponding padding for the
                                    // first time we must push preceding paddings
                                    for (i, query_index) in replacement.clone().enumerate().take(i)
                                    {
                                        let word_index =
                                            match_.word_index + padding as u16 + (i + 1) as u16;
                                        let match_ = TmpMatch {
                                            query_index,
                                            word_index,
                                            ..*match_
                                        };
                                        padded_matches.push((*id, match_));
                                        biggest = biggest.max(i + 1);
                                    }
                                }

                                padded_matches.push((*id, padmatch));
                                found = true;
                                continue 'padding;
                            }
                        }
                    }

                    // if we do not find a corresponding padding in the
                    // next groups so stop here and pad what was found
                    break;
                }

                if !found {
                    // if no padding was found in the following matches
                    // we must insert the entire padding
                    for (i, query_index) in replacement.enumerate() {
                        let word_index = match_.word_index + padding as u16 + (i + 1) as u16;
                        let match_ = TmpMatch {
                            query_index,
                            word_index,
                            ..*match_
                        };
                        padded_matches.push((*id, match_));
                    }

                    biggest = biggest.max(replacement_len - 1);
                }
            }

            padding += biggest;
        }
    }

    for document_matches in padded_matches.linear_group_by_key_mut(|(id, _)| *id) {
        document_matches.sort_unstable();
    }

    // With this check we can see that the loop above takes something
    // like 43% of the search time even when no rewrite is needed.
    // assert_eq!(before_matches, padded_matches);

    SetBuf::new_unchecked(padded_matches)
}

fn fetch_raw_documents(
    reader: &heed::RoTxn<MainT>,
    automatons_groups: &[AutomatonGroup],
    query_enhancer: &QueryEnhancer,
    searchables: Option<&ReorderedAttrs>,
    main_store: store::Main,
    postings_lists_store: store::PostingsLists,
) -> MResult<Vec<RawDocument>> {
    let mut matches = Vec::new();
    let mut highlights = Vec::new();

    let before_automatons_groups_loop = Instant::now();
    for group in automatons_groups {
        let AutomatonGroup { is_phrase_query, automatons } = group;
        let phrase_query_len = automatons.len();

        let mut tmp_matches = Vec::new();
        for (id, automaton) in automatons.into_iter().enumerate() {
            let Automaton { index, is_exact, query_len, query, .. } = automaton;
            let dfa = automaton.dfa();

            let words = match main_store.words_fst(reader)? {
                Some(words) => words,
                None => return Ok(Vec::new()),
            };

            let mut stream = words.search(&dfa).into_stream();
            while let Some(input) = stream.next() {
                let distance = dfa.eval(input).to_u8();
                let is_exact = *is_exact && distance == 0 && input.len() == *query_len;

                let covered_area = if *query_len > input.len() {
                    input.len()
                } else {
                    prefix_damerau_levenshtein(query.as_bytes(), input).1
                };

                let doc_indexes = match postings_lists_store.postings_list(reader, input)? {
                    Some(doc_indexes) => doc_indexes,
                    None => continue,
                };

                tmp_matches.reserve(doc_indexes.len());

                for di in doc_indexes.as_ref() {
                    let attribute = searchables.map_or(Some(di.attribute), |r| r.get(di.attribute));
                    if let Some(attribute) = attribute {
                        let match_ = TmpMatch {
                            query_index: *index as u32,
                            distance,
                            attribute,
                            word_index: di.word_index,
                            is_exact,
                        };

                        let covered_area = u16::try_from(covered_area).unwrap_or(u16::max_value());
                        let covered_area = cmp::min(covered_area, di.char_length);

                        let highlight = Highlight {
                            attribute: di.attribute,
                            char_index: di.char_index,
                            char_length: covered_area,
                        };

                        tmp_matches.push((di.document_id, id, match_, highlight));
                    }
                }
            }
        }

        if *is_phrase_query {
            tmp_matches.sort_unstable_by_key(|(id, _, m, _)| (*id, m.attribute, m.word_index));
            for group in tmp_matches.linear_group_by_key(|(id, _, m, _)| (*id, m.attribute)) {
                for window in group.windows(2) {
                    let (ida, ia, ma, ha) = window[0];
                    let (idb, ib, mb, hb) = window[1];

                    debug_assert_eq!(ida, idb);

                    // if matches must follow and actually follows themselves
                    if ia + 1 == ib && ma.word_index + 1 == mb.word_index {
                        // TODO we must make it work for phrase query longer than 2
                        // if the second match is the last phrase query word
                        if ib + 1 == phrase_query_len {
                            // insert first match
                            matches.push((ida, ma));
                            highlights.push((ida, ha));

                            // insert second match
                            matches.push((idb, mb));
                            highlights.push((idb, hb));
                        }
                    }
                }
            }
        } else {
            let before_rerewrite = Instant::now();
            for (id, _, match_, highlight) in tmp_matches {
                matches.push((id, match_));
                highlights.push((id, highlight));
            }
            debug!("rerewrite took {:.02?}", before_rerewrite.elapsed());
        }
    }
    debug!("automatons_groups_loop took {:.02?}", before_automatons_groups_loop.elapsed());

    {
        let mut cloned = matches.clone();
        let before_sort_test = Instant::now();
        cloned.sort_unstable_by_key(|(id, m)| (*id, m.query_index, m.distance));
        debug!("sorting test took {:.02?}", before_sort_test.elapsed());
    }

    let before_multiword_rewrite_matches = Instant::now();
    debug!("number of matches before rewrite {}", matches.len());
    debug!("{:?}", query_enhancer);
    let matches = multiword_rewrite_matches(matches, &query_enhancer);
    debug!("number of matches after rewrite {}", matches.len());
    debug!("multiword_rewrite_matches took {:.02?}", before_multiword_rewrite_matches.elapsed());

    let before_highlight_sorting = Instant::now();
    let highlights = {
        highlights.sort_unstable_by_key(|(id, _)| *id);
        SetBuf::new_unchecked(highlights)
    };
    debug!("highlight_sorting {:.02?}", before_highlight_sorting.elapsed());


    let before_raw_documents = Instant::now();
    let raw_documents = raw_documents_from(matches, highlights);
    debug!("raw_documents took {:.02?}", before_raw_documents.elapsed());
    debug!("documents to worry about: {}", raw_documents.len());

    Ok(raw_documents)
}

impl<'c, 'f, 'd> QueryBuilder<'c, 'f, 'd> {
    pub fn new(
        main: store::Main,
        postings_lists: store::PostingsLists,
        documents_fields_counts: store::DocumentsFieldsCounts,
        synonyms: store::Synonyms,
    ) -> QueryBuilder<'c, 'f, 'd> {
        QueryBuilder::with_criteria(
            main,
            postings_lists,
            documents_fields_counts,
            synonyms,
            Criteria::default(),
        )
    }

    pub fn with_criteria(
        main: store::Main,
        postings_lists: store::PostingsLists,
        documents_fields_counts: store::DocumentsFieldsCounts,
        synonyms: store::Synonyms,
        criteria: Criteria<'c>,
    ) -> QueryBuilder<'c, 'f, 'd> {
        QueryBuilder {
            criteria,
            searchable_attrs: None,
            filter: None,
            distinct: None,
            timeout: None,
            main_store: main,
            postings_lists_store: postings_lists,
            documents_fields_counts_store: documents_fields_counts,
            synonyms_store: synonyms,
        }
    }

    pub fn with_filter<F>(&mut self, function: F)
    where
        F: Fn(DocumentId) -> bool + 'f,
    {
        self.filter = Some(Box::new(function))
    }

    pub fn with_fetch_timeout(&mut self, timeout: Duration) {
        self.timeout = Some(timeout)
    }

    pub fn with_distinct<F, K>(&mut self, function: F, size: usize)
    where
        F: Fn(DocumentId) -> Option<u64> + 'd,
    {
        self.distinct = Some((Box::new(function), size))
    }

    pub fn add_searchable_attribute(&mut self, attribute: u16) {
        let reorders = self
            .searchable_attrs
            .get_or_insert_with(ReorderedAttrs::new);
        reorders.insert_attribute(attribute);
    }

    pub fn query(
        self,
        reader: &heed::RoTxn<MainT>,
        query: &str,
        range: Range<usize>,
    ) -> MResult<Vec<Document>> {
        match self.distinct {
            Some((distinct, distinct_size)) => raw_query_with_distinct(
                reader,
                query,
                range,
                self.filter,
                distinct,
                distinct_size,
                self.timeout,
                self.criteria,
                self.searchable_attrs,
                self.main_store,
                self.postings_lists_store,
                self.documents_fields_counts_store,
                self.synonyms_store,
            ),
            None => raw_query(
                reader,
                query,
                range,
                self.filter,
                self.timeout,
                self.criteria,
                self.searchable_attrs,
                self.main_store,
                self.postings_lists_store,
                self.documents_fields_counts_store,
                self.synonyms_store,
            ),
        }
    }
}

fn raw_query<'c, FI>(
    reader: &heed::RoTxn<MainT>,

    query: &str,
    range: Range<usize>,

    filter: Option<FI>,
    timeout: Option<Duration>,

    criteria: Criteria<'c>,
    searchable_attrs: Option<ReorderedAttrs>,

    main_store: store::Main,
    postings_lists_store: store::PostingsLists,
    documents_fields_counts_store: store::DocumentsFieldsCounts,
    synonyms_store: store::Synonyms,
) -> MResult<Vec<Document>>
where
    FI: Fn(DocumentId) -> bool,
{
    // We delegate the filter work to the distinct query builder,
    // specifying a distinct rule that has no effect.
    if filter.is_some() {
        let distinct = |_| None;
        let distinct_size = 1;
        return raw_query_with_distinct(
            reader,
            query,
            range,
            filter,
            distinct,
            distinct_size,
            timeout,
            criteria,
            searchable_attrs,
            main_store,
            postings_lists_store,
            documents_fields_counts_store,
            synonyms_store,
        );
    }

    let start_processing = Instant::now();
    let mut raw_documents_processed = Vec::with_capacity(range.len());

    let (automaton_producer, query_enhancer) = AutomatonProducer::new(
        reader,
        query,
        main_store,
        postings_lists_store,
        synonyms_store,
    )?;

    let automaton_producer = automaton_producer.into_iter();
    let mut automatons = Vec::new();

    // aggregate automatons groups by groups after time
    for auts in automaton_producer {
        automatons.push(auts);

        for (i, group) in automatons.iter().enumerate() {
            debug!("group {} automatons {:?}", i, group.automatons);
        }

        let before_fetch_raw_documents = Instant::now();
        // we must retrieve the documents associated
        // with the current automatons
        let mut raw_documents = fetch_raw_documents(
            reader,
            &automatons,
            &query_enhancer,
            searchable_attrs.as_ref(),
            main_store,
            postings_lists_store,
        )?;
        debug!("fetch_raw_documents took {:.02?}", before_fetch_raw_documents.elapsed());

        // stop processing when time is running out
        if let Some(timeout) = timeout {
            if !raw_documents_processed.is_empty() && start_processing.elapsed() > timeout {
                break;
            }
        }

        let mut groups = vec![raw_documents.as_mut_slice()];

        'criteria: for criterion in criteria.as_ref() {
            let tmp_groups = mem::replace(&mut groups, Vec::new());
            let mut documents_seen = 0;

            for group in tmp_groups {
                // if this group does not overlap with the requested range,
                // push it without sorting and splitting it
                if documents_seen + group.len() < range.start {
                    documents_seen += group.len();
                    groups.push(group);
                    continue;
                }

                // we must pull the fields counts of these documents
                // TODO it would be great to had a "dependency" thing for each criterion
                //      and make it so that we can be lazy on pulling/computing some data.
                if criterion.name() == "Exact" {
                    for document in group.iter_mut() {
                        let mut fields_counts = Vec::new();
                        for result in documents_fields_counts_store.document_fields_counts(reader, document.id)? {
                            let (attr, count) = result?;
                            fields_counts.push(AttrCount { attr: attr.0, count });
                        }
                        document.fields_counts = Some(SetBuf::new(fields_counts).unwrap());
                    }
                }


                group.sort_unstable_by(|a, b| criterion.evaluate(a, b));

                for group in group.binary_group_by_mut(|a, b| criterion.eq(a, b)) {
                    debug!("criterion {} produced a group of size {}", criterion.name(), group.len());

                    documents_seen += group.len();
                    groups.push(group);


                    // we have sort enough documents if the last document sorted is after
                    // the end of the requested range, we can continue to the next criterion
                    if documents_seen >= range.end {
                        continue 'criteria;
                    }
                }
            }
        }

        // once we classified the documents related to the current
        // automatons we save that as the next valid result
        let iter = raw_documents
            .into_iter()
            .skip(range.start)
            .take(range.len());
        raw_documents_processed.clear();
        raw_documents_processed.extend(iter);

        // stop processing when time is running out
        if let Some(timeout) = timeout {
            if start_processing.elapsed() > timeout {
                break;
            }
        }
    }

    // make real documents now that we know
    // those must be returned
    let documents = raw_documents_processed
        .into_iter()
        .map(Document::from_raw)
        .collect();

    Ok(documents)
}

fn raw_query_with_distinct<'c, FI, FD>(
    reader: &heed::RoTxn<MainT>,

    query: &str,
    range: Range<usize>,

    filter: Option<FI>,

    distinct: FD,
    distinct_size: usize,
    timeout: Option<Duration>,

    criteria: Criteria<'c>,
    searchable_attrs: Option<ReorderedAttrs>,

    main_store: store::Main,
    postings_lists_store: store::PostingsLists,
    documents_fields_counts_store: store::DocumentsFieldsCounts,
    synonyms_store: store::Synonyms,
) -> MResult<Vec<Document>>
where
    FI: Fn(DocumentId) -> bool,
    FD: Fn(DocumentId) -> Option<u64>,
{
    let start_processing = Instant::now();
    let mut raw_documents_processed = Vec::new();

    let (automaton_producer, query_enhancer) = AutomatonProducer::new(
        reader,
        query,
        main_store,
        postings_lists_store,
        synonyms_store,
    )?;

    let automaton_producer = automaton_producer.into_iter();
    let mut automatons = Vec::new();

    // aggregate automatons groups by groups after time
    for auts in automaton_producer {
        automatons.push(auts);

        // we must retrieve the documents associated
        // with the current automatons
        let mut raw_documents = fetch_raw_documents(
            reader,
            &automatons,
            &query_enhancer,
            searchable_attrs.as_ref(),
            main_store,
            postings_lists_store,
        )?;

        // stop processing when time is running out
        if let Some(timeout) = timeout {
            if !raw_documents_processed.is_empty() && start_processing.elapsed() > timeout {
                break;
            }
        }

        let mut groups = vec![raw_documents.as_mut_slice()];
        let mut key_cache = HashMap::new();

        let mut filter_map = HashMap::new();
        // these two variables informs on the current distinct map and
        // on the raw offset of the start of the group where the
        // range.start bound is located according to the distinct function
        let mut distinct_map = DistinctMap::new(distinct_size);
        let mut distinct_raw_offset = 0;

        'criteria: for criterion in criteria.as_ref() {
            let tmp_groups = mem::replace(&mut groups, Vec::new());
            let mut buf_distinct = BufferedDistinctMap::new(&mut distinct_map);
            let mut documents_seen = 0;

            for group in tmp_groups {
                // if this group does not overlap with the requested range,
                // push it without sorting and splitting it
                if documents_seen + group.len() < distinct_raw_offset {
                    documents_seen += group.len();
                    groups.push(group);
                    continue;
                }

                group.sort_unstable_by(|a, b| criterion.evaluate(a, b));

                for group in group.binary_group_by_mut(|a, b| criterion.eq(a, b)) {
                    // we must compute the real distinguished len of this sub-group
                    for document in group.iter() {
                        let filter_accepted = match &filter {
                            Some(filter) => {
                                let entry = filter_map.entry(document.id);
                                *entry.or_insert_with(|| (filter)(document.id))
                            }
                            None => true,
                        };

                        if filter_accepted {
                            let entry = key_cache.entry(document.id);
                            let key = entry.or_insert_with(|| (distinct)(document.id).map(Rc::new));

                            match key.clone() {
                                Some(key) => buf_distinct.register(key),
                                None => buf_distinct.register_without_key(),
                            };
                        }

                        // the requested range end is reached: stop computing distinct
                        if buf_distinct.len() >= range.end {
                            break;
                        }
                    }

                    documents_seen += group.len();
                    groups.push(group);

                    // if this sub-group does not overlap with the requested range
                    // we must update the distinct map and its start index
                    if buf_distinct.len() < range.start {
                        buf_distinct.transfert_to_internal();
                        distinct_raw_offset = documents_seen;
                    }

                    // we have sort enough documents if the last document sorted is after
                    // the end of the requested range, we can continue to the next criterion
                    if buf_distinct.len() >= range.end {
                        continue 'criteria;
                    }
                }
            }
        }

        // once we classified the documents related to the current
        // automatons we save that as the next valid result
        let mut seen = BufferedDistinctMap::new(&mut distinct_map);
        raw_documents_processed.clear();

        for document in raw_documents.into_iter().skip(distinct_raw_offset) {
            let filter_accepted = match &filter {
                Some(_) => filter_map.remove(&document.id).unwrap(),
                None => true,
            };

            if filter_accepted {
                let key = key_cache.remove(&document.id).unwrap();
                let distinct_accepted = match key {
                    Some(key) => seen.register(key),
                    None => seen.register_without_key(),
                };

                if distinct_accepted && seen.len() > range.start {
                    raw_documents_processed.push(document);
                    if raw_documents_processed.len() == range.len() {
                        break;
                    }
                }
            }
        }

        // stop processing when time is running out
        if let Some(timeout) = timeout {
            if start_processing.elapsed() > timeout {
                break;
            }
        }
    }

    // make real documents now that we know
    // those must be returned
    let documents = raw_documents_processed
        .into_iter()
        .map(Document::from_raw)
        .collect();

    Ok(documents)
}

#[cfg(test)]
mod tests {
    use super::*;

    use std::collections::{BTreeSet, HashMap};
    use std::iter::FromIterator;

    use fst::{IntoStreamer, Set};
    use meilisearch_schema::SchemaAttr;
    use sdset::SetBuf;
    use tempfile::TempDir;

    use crate::automaton::normalize_str;
    use crate::database::Database;
    use crate::store::Index;
    use crate::DocIndex;

    fn set_from_stream<'f, I, S>(stream: I) -> Set
    where
        I: for<'a> fst::IntoStreamer<'a, Into = S, Item = &'a [u8]>,
        S: 'f + for<'a> fst::Streamer<'a, Item = &'a [u8]>,
    {
        let mut builder = fst::SetBuilder::memory();
        builder.extend_stream(stream).unwrap();
        builder.into_inner().and_then(Set::from_bytes).unwrap()
    }

    fn insert_key(set: &Set, key: &[u8]) -> Set {
        let unique_key = {
            let mut builder = fst::SetBuilder::memory();
            builder.insert(key).unwrap();
            builder.into_inner().and_then(Set::from_bytes).unwrap()
        };

        let union_ = set.op().add(unique_key.into_stream()).r#union();

        set_from_stream(union_)
    }

    fn sdset_into_fstset(set: &sdset::Set<&str>) -> Set {
        let mut builder = fst::SetBuilder::memory();
        let set = SetBuf::from_dirty(set.into_iter().map(|s| normalize_str(s)).collect());
        builder.extend_iter(set.into_iter()).unwrap();
        builder.into_inner().and_then(Set::from_bytes).unwrap()
    }

    const fn doc_index(document_id: u64, word_index: u16) -> DocIndex {
        DocIndex {
            document_id: DocumentId(document_id),
            attribute: 0,
            word_index,
            char_index: 0,
            char_length: 0,
        }
    }

    const fn doc_char_index(document_id: u64, word_index: u16, char_index: u16) -> DocIndex {
        DocIndex {
            document_id: DocumentId(document_id),
            attribute: 0,
            word_index,
            char_index,
            char_length: 0,
        }
    }

    pub struct TempDatabase {
        database: Database,
        index: Index,
        _tempdir: TempDir,
    }

    impl TempDatabase {
        pub fn query_builder(&self) -> QueryBuilder {
            self.index.query_builder()
        }

        pub fn add_synonym(&mut self, word: &str, new: SetBuf<&str>) {
            let db = &self.database;
            let mut writer = db.main_write_txn().unwrap();

            let word = word.to_lowercase();

            let alternatives = match self
                .index
                .synonyms
                .synonyms(&writer, word.as_bytes())
                .unwrap()
            {
                Some(alternatives) => alternatives,
                None => fst::Set::default(),
            };

            let new = sdset_into_fstset(&new);
            let new_alternatives =
                set_from_stream(alternatives.op().add(new.into_stream()).r#union());
            self.index
                .synonyms
                .put_synonyms(&mut writer, word.as_bytes(), &new_alternatives)
                .unwrap();

            let synonyms = match self.index.main.synonyms_fst(&writer).unwrap() {
                Some(synonyms) => synonyms,
                None => fst::Set::default(),
            };

            let synonyms_fst = insert_key(&synonyms, word.as_bytes());
            self.index
                .main
                .put_synonyms_fst(&mut writer, &synonyms_fst)
                .unwrap();

            writer.commit().unwrap();
        }
    }

    impl<'a> FromIterator<(&'a str, &'a [DocIndex])> for TempDatabase {
        fn from_iter<I: IntoIterator<Item = (&'a str, &'a [DocIndex])>>(iter: I) -> Self {
            let tempdir = TempDir::new().unwrap();
            let database = Database::open_or_create(&tempdir).unwrap();
            let index = database.create_index("default").unwrap();

            let db = &database;
            let mut writer = db.main_write_txn().unwrap();

            let mut words_fst = BTreeSet::new();
            let mut postings_lists = HashMap::new();
            let mut fields_counts = HashMap::<_, u16>::new();

            for (word, indexes) in iter {
                let word = word.to_lowercase().into_bytes();
                words_fst.insert(word.clone());
                postings_lists
                    .entry(word)
                    .or_insert_with(Vec::new)
                    .extend_from_slice(indexes);
                for idx in indexes {
                    fields_counts.insert((idx.document_id, idx.attribute, idx.word_index), 1);
                }
            }

            let words_fst = Set::from_iter(words_fst).unwrap();

            index.main.put_words_fst(&mut writer, &words_fst).unwrap();

            for (word, postings_list) in postings_lists {
                let postings_list = SetBuf::from_dirty(postings_list);
                index
                    .postings_lists
                    .put_postings_list(&mut writer, &word, &postings_list)
                    .unwrap();
            }

            for ((docid, attr, _), count) in fields_counts {
                let prev = index
                    .documents_fields_counts
                    .document_field_count(&mut writer, docid, SchemaAttr(attr))
                    .unwrap();

                let prev = prev.unwrap_or(0);

                index
                    .documents_fields_counts
                    .put_document_field_count(&mut writer, docid, SchemaAttr(attr), prev + count)
                    .unwrap();
            }

            writer.commit().unwrap();

            TempDatabase {
                database,
                index,
                _tempdir: tempdir,
            }
        }
    }

    #[test]
    fn simple() {
        let store = TempDatabase::from_iter(vec![
            ("iphone", &[doc_char_index(0, 0, 0)][..]),
            ("from", &[doc_char_index(0, 1, 1)][..]),
            ("apple", &[doc_char_index(0, 2, 2)][..]),
        ]);

        let db = &store.database;
        let reader = db.main_read_txn().unwrap();

        let builder = store.query_builder();
        let results = builder.query(&reader, "iphone from apple", 0..20).unwrap();
        let mut iter = results.into_iter();

        assert_matches!(iter.next(), Some(Document { id: DocumentId(0), matches, .. }) => {
            let mut matches = matches.into_iter();
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 0, word_index: 0, .. }));
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 1, word_index: 1, .. }));
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 2, word_index: 2, .. }));
            assert_matches!(matches.next(), None);
        });
        assert_matches!(iter.next(), None);
    }

    #[test]
    fn simple_synonyms() {
        let mut store = TempDatabase::from_iter(vec![("hello", &[doc_index(0, 0)][..])]);

        store.add_synonym("bonjour", SetBuf::from_dirty(vec!["hello"]));

        let db = &store.database;
        let reader = db.main_read_txn().unwrap();

        let builder = store.query_builder();
        let results = builder.query(&reader, "hello", 0..20).unwrap();
        let mut iter = results.into_iter();

        assert_matches!(iter.next(), Some(Document { id: DocumentId(0), matches, .. }) => {
            let mut matches = matches.into_iter();
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 0, word_index: 0, .. }));
            assert_matches!(matches.next(), None);
        });
        assert_matches!(iter.next(), None);

        let builder = store.query_builder();
        let results = builder.query(&reader, "bonjour", 0..20).unwrap();
        let mut iter = results.into_iter();

        assert_matches!(iter.next(), Some(Document { id: DocumentId(0), matches, .. }) => {
            let mut matches = matches.into_iter();
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 0, word_index: 0, .. }));
            assert_matches!(matches.next(), None);
        });
        assert_matches!(iter.next(), None);
    }

    #[test]
    fn prefix_synonyms() {
        let mut store = TempDatabase::from_iter(vec![("hello", &[doc_index(0, 0)][..])]);

        store.add_synonym("bonjour", SetBuf::from_dirty(vec!["hello"]));
        store.add_synonym("salut", SetBuf::from_dirty(vec!["hello"]));

        let db = &store.database;
        let reader = db.main_read_txn().unwrap();

        let builder = store.query_builder();
        let results = builder.query(&reader, "sal", 0..20).unwrap();
        let mut iter = results.into_iter();

        assert_matches!(iter.next(), Some(Document { id: DocumentId(0), matches, .. }) => {
            let mut matches = matches.into_iter();
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 0, word_index: 0, .. }));
            assert_matches!(matches.next(), None);
        });
        assert_matches!(iter.next(), None);

        let builder = store.query_builder();
        let results = builder.query(&reader, "bonj", 0..20).unwrap();
        let mut iter = results.into_iter();

        assert_matches!(iter.next(), Some(Document { id: DocumentId(0), matches, .. }) => {
            let mut matches = matches.into_iter();
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 0, word_index: 0, .. }));
            assert_matches!(matches.next(), None);
        });
        assert_matches!(iter.next(), None);

        let builder = store.query_builder();
        let results = builder.query(&reader, "sal blabla", 0..20).unwrap();
        let mut iter = results.into_iter();

        assert_matches!(iter.next(), None);

        let builder = store.query_builder();
        let results = builder.query(&reader, "bonj blabla", 0..20).unwrap();
        let mut iter = results.into_iter();

        assert_matches!(iter.next(), None);
    }

    #[test]
    fn levenshtein_synonyms() {
        let mut store = TempDatabase::from_iter(vec![("hello", &[doc_index(0, 0)][..])]);

        store.add_synonym("salutation", SetBuf::from_dirty(vec!["hello"]));

        let db = &store.database;
        let reader = db.main_read_txn().unwrap();

        let builder = store.query_builder();
        let results = builder.query(&reader, "salutution", 0..20).unwrap();
        let mut iter = results.into_iter();

        assert_matches!(iter.next(), Some(Document { id: DocumentId(0), matches, .. }) => {
            let mut matches = matches.into_iter();
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 0, word_index: 0, .. }));
            assert_matches!(matches.next(), None);
        });
        assert_matches!(iter.next(), None);

        let builder = store.query_builder();
        let results = builder.query(&reader, "saluttion", 0..20).unwrap();
        let mut iter = results.into_iter();

        assert_matches!(iter.next(), Some(Document { id: DocumentId(0), matches, .. }) => {
            let mut matches = matches.into_iter();
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 0, word_index: 0, .. }));
            assert_matches!(matches.next(), None);
        });
        assert_matches!(iter.next(), None);
    }

    #[test]
    fn harder_synonyms() {
        let mut store = TempDatabase::from_iter(vec![
            ("hello", &[doc_index(0, 0)][..]),
            ("bonjour", &[doc_index(1, 3)]),
            ("salut", &[doc_index(2, 5)]),
        ]);

        store.add_synonym("hello", SetBuf::from_dirty(vec!["bonjour", "salut"]));
        store.add_synonym("bonjour", SetBuf::from_dirty(vec!["hello", "salut"]));
        store.add_synonym("salut", SetBuf::from_dirty(vec!["hello", "bonjour"]));

        let db = &store.database;
        let reader = db.main_read_txn().unwrap();

        let builder = store.query_builder();
        let results = builder.query(&reader, "hello", 0..20).unwrap();
        let mut iter = results.into_iter();

        assert_matches!(iter.next(), Some(Document { id: DocumentId(0), matches, .. }) => {
            let mut matches = matches.into_iter();
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 0, word_index: 0, .. }));
            assert_matches!(matches.next(), None);
        });
        assert_matches!(iter.next(), Some(Document { id: DocumentId(1), matches, .. }) => {
            let mut matches = matches.into_iter();
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 0, word_index: 3, .. }));
            assert_matches!(matches.next(), None);
        });
        assert_matches!(iter.next(), Some(Document { id: DocumentId(2), matches, .. }) => {
            let mut matches = matches.into_iter();
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 0, word_index: 5, .. }));
            assert_matches!(matches.next(), None);
        });
        assert_matches!(iter.next(), None);

        let builder = store.query_builder();
        let results = builder.query(&reader, "bonjour", 0..20).unwrap();
        let mut iter = results.into_iter();

        assert_matches!(iter.next(), Some(Document { id: DocumentId(0), matches, .. }) => {
            let mut matches = matches.into_iter();
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 0, word_index: 0, .. }));
            assert_matches!(matches.next(), None);
        });
        assert_matches!(iter.next(), Some(Document { id: DocumentId(1), matches, .. }) => {
            let mut matches = matches.into_iter();
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 0, word_index: 3, .. }));
            assert_matches!(matches.next(), None);
        });
        assert_matches!(iter.next(), Some(Document { id: DocumentId(2), matches, .. }) => {
            let mut matches = matches.into_iter();
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 0, word_index: 5, .. }));
            assert_matches!(matches.next(), None);
        });
        assert_matches!(iter.next(), None);

        let builder = store.query_builder();
        let results = builder.query(&reader, "salut", 0..20).unwrap();
        let mut iter = results.into_iter();

        assert_matches!(iter.next(), Some(Document { id: DocumentId(0), matches, .. }) => {
            let mut matches = matches.into_iter();
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 0, word_index: 0, .. }));
            assert_matches!(matches.next(), None);
        });
        assert_matches!(iter.next(), Some(Document { id: DocumentId(1), matches, .. }) => {
            let mut matches = matches.into_iter();
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 0, word_index: 3, .. }));
            assert_matches!(matches.next(), None);
        });
        assert_matches!(iter.next(), Some(Document { id: DocumentId(2), matches, .. }) => {
            let mut matches = matches.into_iter();
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 0, word_index: 5, .. }));
            assert_matches!(matches.next(), None);
        });
        assert_matches!(iter.next(), None);
    }

    #[test]
    /// Unique word has multi-word synonyms
    fn unique_to_multiword_synonyms() {
        let mut store = TempDatabase::from_iter(vec![
            ("new", &[doc_char_index(0, 0, 0)][..]),
            ("york", &[doc_char_index(0, 1, 1)][..]),
            ("city", &[doc_char_index(0, 2, 2)][..]),
            ("subway", &[doc_char_index(0, 3, 3)][..]),
            ("NY", &[doc_char_index(1, 0, 0)][..]),
            ("subway", &[doc_char_index(1, 1, 1)][..]),
        ]);

        store.add_synonym(
            "NY",
            SetBuf::from_dirty(vec!["NYC", "new york", "new york city"]),
        );
        store.add_synonym(
            "NYC",
            SetBuf::from_dirty(vec!["NY", "new york", "new york city"]),
        );

        let db = &store.database;
        let reader = db.main_read_txn().unwrap();

        let builder = store.query_builder();
        let results = builder.query(&reader, "NY subway", 0..20).unwrap();
        let mut iter = results.into_iter();

        assert_matches!(iter.next(), Some(Document { id: DocumentId(1), matches, .. }) => {
            let mut iter = matches.into_iter();
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 0, word_index: 0, is_exact: true, .. })); // NY ± new
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 1, word_index: 1, is_exact: true, .. })); // NY ± york
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 2, word_index: 2, is_exact: true, .. })); // NY ± city
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 3, word_index: 3, is_exact: true, .. })); // subway
            assert_matches!(iter.next(), None);
        });
        assert_matches!(iter.next(), Some(Document { id: DocumentId(0), matches, .. }) => {
            let mut iter = matches.into_iter();
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 0, word_index: 0, is_exact: false, .. })); // new  = NY
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 0, word_index: 0, is_exact: false, .. })); // new  = NY
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 1, word_index: 1, is_exact: false, .. })); // york = NY
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 1, word_index: 1, is_exact: false, .. })); // york = NY
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 2, word_index: 2, is_exact: false, .. })); // city = NY
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 2, word_index: 2, is_exact: false, .. })); // city = NY
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 3, word_index: 3, is_exact: true,  .. })); // subway
            assert_matches!(iter.next(), None);                // position rewritten ^
        });
        assert_matches!(iter.next(), None);

        let builder = store.query_builder();
        let results = builder.query(&reader, "NYC subway", 0..20).unwrap();
        let mut iter = results.into_iter();

        assert_matches!(iter.next(), Some(Document { id: DocumentId(1), matches, .. }) => {
            let mut iter = matches.into_iter();
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 0, word_index: 0, is_exact: true, .. })); // NYC ± new
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 1, word_index: 1, is_exact: true, .. })); // NYC ± york
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 2, word_index: 2, is_exact: true, .. })); // NYC ± city
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 3, word_index: 3, is_exact: true, .. })); // subway
            assert_matches!(iter.next(), None);
        });
        assert_matches!(iter.next(), Some(Document { id: DocumentId(0), matches, .. }) => {
            let mut iter = matches.into_iter();
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 0, word_index: 0, is_exact: false, .. })); // new  = NYC
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 0, word_index: 0, is_exact: false, .. })); // new  = NYC
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 1, word_index: 1, is_exact: false, .. })); // york = NYC
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 1, word_index: 1, is_exact: false, .. })); // york = NYC
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 2, word_index: 2, is_exact: false, .. })); // city = NYC
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 2, word_index: 2, is_exact: false, .. })); // city = NYC
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 3, word_index: 3, is_exact: true,  .. })); // subway
            assert_matches!(iter.next(), None);                // position rewritten ^
        });
        assert_matches!(iter.next(), None);
    }

    #[test]
    fn unique_to_multiword_synonyms_words_proximity() {
        let mut store = TempDatabase::from_iter(vec![
            ("new", &[doc_char_index(0, 0, 0)][..]),
            ("york", &[doc_char_index(0, 1, 1)][..]),
            ("city", &[doc_char_index(0, 2, 2)][..]),
            ("subway", &[doc_char_index(0, 3, 3)][..]),
            ("york", &[doc_char_index(1, 0, 0)][..]),
            ("new", &[doc_char_index(1, 1, 1)][..]),
            ("subway", &[doc_char_index(1, 2, 2)][..]),
            ("NY", &[doc_char_index(2, 0, 0)][..]),
            ("subway", &[doc_char_index(2, 1, 1)][..]),
        ]);

        store.add_synonym("NY", SetBuf::from_dirty(vec!["york new"]));

        let db = &store.database;
        let reader = db.main_read_txn().unwrap();

        let builder = store.query_builder();
        let results = builder.query(&reader, "NY", 0..20).unwrap();
        let mut iter = results.into_iter();

        assert_matches!(iter.next(), Some(Document { id: DocumentId(2), matches, .. }) => {
            let mut matches = matches.into_iter();
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 0, word_index: 0, .. })); // NY ± york
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 1, word_index: 1, .. })); // NY ± new
            assert_matches!(matches.next(), None);
        });
        assert_matches!(iter.next(), Some(Document { id: DocumentId(1), matches, .. }) => {
            let mut matches = matches.into_iter();
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 0, word_index: 0, .. })); // york = NY
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 1, word_index: 1, .. })); // new  = NY
            assert_matches!(matches.next(), None);
        });
        assert_matches!(iter.next(), Some(Document { id: DocumentId(0), matches, .. }) => {
            let mut matches = matches.into_iter();
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 0, word_index: 1, .. })); // york  = NY
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 1, word_index: 0, .. })); // new = NY
            assert_matches!(matches.next(), None);
        });
        assert_matches!(iter.next(), None);

        let builder = store.query_builder();
        let results = builder.query(&reader, "new york", 0..20).unwrap();
        let mut iter = results.into_iter();

        assert_matches!(iter.next(), Some(Document { id: DocumentId(0), matches, .. }) => {
            let mut matches = matches.into_iter();
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 0, word_index: 0, .. })); // new
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 1, word_index: 1, .. })); // york
            assert_matches!(matches.next(), None);                // position rewritten ^
        });
        assert_matches!(iter.next(), Some(Document { id: DocumentId(1), matches, .. }) => {
            let mut matches = matches.into_iter();
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 0, word_index: 1, .. })); // york
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 1, word_index: 0, .. })); // new
            assert_matches!(matches.next(), None);
        });
        assert_matches!(iter.next(), None);
    }

    #[test]
    fn unique_to_multiword_synonyms_cumulative_word_index() {
        let mut store = TempDatabase::from_iter(vec![
            ("NY", &[doc_char_index(0, 0, 0)][..]),
            ("subway", &[doc_char_index(0, 1, 1)][..]),
            ("new", &[doc_char_index(1, 0, 0)][..]),
            ("york", &[doc_char_index(1, 1, 1)][..]),
            ("subway", &[doc_char_index(1, 2, 2)][..]),
        ]);

        store.add_synonym("new york", SetBuf::from_dirty(vec!["NY"]));

        let db = &store.database;
        let reader = db.main_read_txn().unwrap();

        let builder = store.query_builder();
        let results = builder.query(&reader, "NY subway", 0..20).unwrap();
        let mut iter = results.into_iter();

        assert_matches!(iter.next(), Some(Document { id: DocumentId(0), matches, .. }) => {
            let mut matches = matches.into_iter();
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 0, word_index: 0, is_exact: true, .. })); // NY
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 1, word_index: 1, is_exact: true, .. })); // subway
            assert_matches!(matches.next(), None);
        });
        assert_matches!(iter.next(), Some(Document { id: DocumentId(1), matches, .. }) => {
            let mut matches = matches.into_iter();
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 1, word_index: 2, is_exact: true, .. })); // subway
            assert_matches!(matches.next(), None);
        });
        assert_matches!(iter.next(), None);

        let builder = store.query_builder();
        let results = builder.query(&reader, "new york subway", 0..20).unwrap();
        let mut iter = results.into_iter();

        assert_matches!(iter.next(), Some(Document { id: DocumentId(0), matches, .. }) => {
            let mut matches = matches.into_iter();
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 0, word_index: 0, is_exact: true, .. })); // new  = NY
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 1, word_index: 1, is_exact: true, .. })); // york = NY
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 2, word_index: 2, is_exact: true, .. })); // subway
            assert_matches!(matches.next(), None);
        });
        assert_matches!(iter.next(), Some(Document { id: DocumentId(1), matches, .. }) => {
            let mut matches = matches.into_iter();
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 0, word_index: 0, is_exact: true, .. })); // new
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 1, word_index: 1, is_exact: true, .. })); // york
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 2, word_index: 2, is_exact: true, .. })); // subway
            assert_matches!(matches.next(), None);
        });
        assert_matches!(iter.next(), None);
    }

    #[test]
    /// Unique word has multi-word synonyms
    fn harder_unique_to_multiword_synonyms_one() {
        let mut store = TempDatabase::from_iter(vec![
            ("new", &[doc_char_index(0, 0, 0)][..]),
            ("york", &[doc_char_index(0, 1, 1)][..]),
            ("city", &[doc_char_index(0, 2, 2)][..]),
            ("yellow", &[doc_char_index(0, 3, 3)][..]),
            ("subway", &[doc_char_index(0, 4, 4)][..]),
            ("broken", &[doc_char_index(0, 5, 5)][..]),
            ("NY", &[doc_char_index(1, 0, 0)][..]),
            ("blue", &[doc_char_index(1, 1, 1)][..]),
            ("subway", &[doc_char_index(1, 2, 2)][..]),
        ]);

        store.add_synonym(
            "NY",
            SetBuf::from_dirty(vec!["NYC", "new york", "new york city"]),
        );
        store.add_synonym(
            "NYC",
            SetBuf::from_dirty(vec!["NY", "new york", "new york city"]),
        );

        let db = &store.database;
        let reader = db.main_read_txn().unwrap();

        let builder = store.query_builder();
        let results = builder.query(&reader, "NY subway", 0..20).unwrap();
        let mut iter = results.into_iter();

        assert_matches!(iter.next(), Some(Document { id: DocumentId(1), matches, .. }) => {
            let mut iter = matches.into_iter();
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 0, word_index: 0, is_exact: true, .. })); // new  = NY
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 1, word_index: 1, is_exact: true, .. })); // york = NY
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 2, word_index: 2, is_exact: true, .. })); // city = NY
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 3, word_index: 4, is_exact: true, .. })); // subway
            assert_matches!(iter.next(), None);                // position rewritten ^
        });
        assert_matches!(iter.next(), Some(Document { id: DocumentId(0), matches, .. }) => {
            let mut iter = matches.into_iter();
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 0, word_index: 0, is_exact: false, .. })); // new  = NY
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 0, word_index: 0, is_exact: false, .. })); // new  = NY
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 1, word_index: 1, is_exact: false, .. })); // york = NY
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 1, word_index: 1, is_exact: false, .. })); // york = NY
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 2, word_index: 2, is_exact: false, .. })); // city = NY
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 2, word_index: 2, is_exact: false, .. })); // city = NY
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 3, word_index: 4, is_exact: true,  .. })); // subway
            assert_matches!(iter.next(), None);                // position rewritten ^
        });
        assert_matches!(iter.next(), None);

        let builder = store.query_builder();
        let results = builder.query(&reader, "NYC subway", 0..20).unwrap();
        let mut iter = results.into_iter();

        assert_matches!(iter.next(), Some(Document { id: DocumentId(1), matches, .. }) => {
            let mut iter = matches.into_iter();
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 0, word_index: 0, is_exact: true, .. })); // NYC
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 1, word_index: 1, is_exact: true, .. })); // NYC
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 2, word_index: 2, is_exact: true, .. })); // NYC
            //                                                       because one-word to one-word ^^^^
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 3, word_index: 4, is_exact: true, .. })); // subway
            assert_matches!(iter.next(), None);
        });
        assert_matches!(iter.next(), Some(Document { id: DocumentId(0), matches, .. }) => {
            let mut iter = matches.into_iter();
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 0, word_index: 0, is_exact: false, .. })); // new  = NYC
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 0, word_index: 0, is_exact: false, .. })); // new  = NYC
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 1, word_index: 1, is_exact: false, .. })); // york = NYC
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 1, word_index: 1, is_exact: false, .. })); // york = NYC
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 2, word_index: 2, is_exact: false, .. })); // city = NYC
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 2, word_index: 2, is_exact: false, .. })); // city = NYC
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 3, word_index: 4, is_exact: true,  .. })); // subway
            assert_matches!(iter.next(), None);             // position rewritten ^
        });
        assert_matches!(iter.next(), None);
    }

    #[test]
    /// Unique word has multi-word synonyms
    fn even_harder_unique_to_multiword_synonyms() {
        let mut store = TempDatabase::from_iter(vec![
            ("new", &[doc_char_index(0, 0, 0)][..]),
            ("york", &[doc_char_index(0, 1, 1)][..]),
            ("city", &[doc_char_index(0, 2, 2)][..]),
            ("yellow", &[doc_char_index(0, 3, 3)][..]),
            ("underground", &[doc_char_index(0, 4, 4)][..]),
            ("train", &[doc_char_index(0, 5, 5)][..]),
            ("broken", &[doc_char_index(0, 6, 6)][..]),
            ("NY", &[doc_char_index(1, 0, 0)][..]),
            ("blue", &[doc_char_index(1, 1, 1)][..]),
            ("subway", &[doc_char_index(1, 2, 2)][..]),
        ]);

        store.add_synonym(
            "NY",
            SetBuf::from_dirty(vec!["NYC", "new york", "new york city"]),
        );
        store.add_synonym(
            "NYC",
            SetBuf::from_dirty(vec!["NY", "new york", "new york city"]),
        );
        store.add_synonym("subway", SetBuf::from_dirty(vec!["underground train"]));

        let db = &store.database;
        let reader = db.main_read_txn().unwrap();

        let builder = store.query_builder();
        let results = builder.query(&reader, "NY subway broken", 0..20).unwrap();
        let mut iter = results.into_iter();

        assert_matches!(iter.next(), Some(Document { id: DocumentId(0), matches, .. }) => {
            let mut iter = matches.into_iter();
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 0, word_index: 0, is_exact: false, .. })); // new  = NY
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 0, word_index: 0, is_exact: false, .. })); // new  = NY
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 1, word_index: 1, is_exact: false, .. })); // york = NY
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 1, word_index: 1, is_exact: false, .. })); // york = NY
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 2, word_index: 2, is_exact: false, .. })); // city = NY
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 2, word_index: 2, is_exact: false, .. })); // city = NY
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 3, word_index: 4, is_exact: false, .. })); // underground = subway
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 4, word_index: 5, is_exact: false, .. })); // train       = subway
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 5, word_index: 6, is_exact: true,  .. })); // broken
            assert_matches!(iter.next(), None);                // position rewritten ^
        });
        assert_matches!(iter.next(), Some(Document { id: DocumentId(1), matches, .. }) => {
            let mut iter = matches.into_iter();
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 0, word_index: 0, is_exact: true, .. })); // new  = NY
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 1, word_index: 1, is_exact: true, .. })); // york = NY
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 2, word_index: 2, is_exact: true, .. })); // city = NY
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 3, word_index: 4, is_exact: true, .. })); // underground = subway
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 4, word_index: 5, is_exact: true, .. })); // train       = subway
            assert_matches!(iter.next(), None);                // position rewritten ^
        });
        assert_matches!(iter.next(), None);

        let builder = store.query_builder();
        let results = builder.query(&reader, "NYC subway", 0..20).unwrap();
        let mut iter = results.into_iter();

        assert_matches!(iter.next(), Some(Document { id: DocumentId(1), matches, .. }) => {
            let mut iter = matches.into_iter();
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 0, word_index: 0, is_exact: true, .. })); // new  = NYC
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 1, word_index: 1, is_exact: true, .. })); // york = NYC
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 2, word_index: 2, is_exact: true, .. })); // city = NYC
            //                                                       because one-word to one-word ^^^^
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 3, word_index: 4, is_exact: true, .. })); // underground = subway
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 4, word_index: 5, is_exact: true, .. })); // train       = subway
            assert_matches!(iter.next(), None);
        });
        assert_matches!(iter.next(), Some(Document { id: DocumentId(0), matches, .. }) => {
            let mut iter = matches.into_iter();
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 0, word_index: 0, is_exact: false, .. })); // new  = NYC
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 0, word_index: 0, is_exact: false, .. })); // new  = NYC
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 1, word_index: 1, is_exact: false, .. })); // york = NYC
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 1, word_index: 1, is_exact: false, .. })); // york = NYC
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 2, word_index: 2, is_exact: false, .. })); // city = NYC
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 2, word_index: 2, is_exact: false, .. })); // city = NYC
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 3, word_index: 4, is_exact: false, .. })); // underground = subway
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 4, word_index: 5, is_exact: false, .. })); // train       = subway
            assert_matches!(iter.next(), None);                // position rewritten ^
        });
        assert_matches!(iter.next(), None);
    }

    #[test]
    /// Multi-word has multi-word synonyms
    fn multiword_to_multiword_synonyms() {
        let mut store = TempDatabase::from_iter(vec![
            ("NY", &[doc_char_index(0, 0, 0)][..]),
            ("subway", &[doc_char_index(0, 1, 1)][..]),
            ("NYC", &[doc_char_index(1, 0, 0)][..]),
            ("blue", &[doc_char_index(1, 1, 1)][..]),
            ("subway", &[doc_char_index(1, 2, 2)][..]),
            ("broken", &[doc_char_index(1, 3, 3)][..]),
            ("new", &[doc_char_index(2, 0, 0)][..]),
            ("york", &[doc_char_index(2, 1, 1)][..]),
            ("underground", &[doc_char_index(2, 2, 2)][..]),
            ("train", &[doc_char_index(2, 3, 3)][..]),
            ("broken", &[doc_char_index(2, 4, 4)][..]),
        ]);

        store.add_synonym(
            "new york",
            SetBuf::from_dirty(vec!["NYC", "NY", "new york city"]),
        );
        store.add_synonym(
            "new york city",
            SetBuf::from_dirty(vec!["NYC", "NY", "new york"]),
        );
        store.add_synonym("underground train", SetBuf::from_dirty(vec!["subway"]));

        let db = &store.database;
        let reader = db.main_read_txn().unwrap();

        let builder = store.query_builder();
        let results = builder
            .query(&reader, "new york underground train broken", 0..20)
            .unwrap();
        let mut iter = results.into_iter();

        assert_matches!(iter.next(), Some(Document { id: DocumentId(2), matches, .. }) => {
            let mut matches = matches.into_iter();
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 0, word_index: 0, is_exact: false, .. })); // new
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 0, word_index: 0, is_exact: true,  .. })); // new
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 1, word_index: 1, is_exact: false, .. })); // york
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 1, word_index: 1, is_exact: true,  .. })); // york
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 2, word_index: 2, is_exact: true,  .. })); // city
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 3, word_index: 3, is_exact: true,  .. })); // underground
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 4, word_index: 4, is_exact: true,  .. })); // train
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 5, word_index: 5, is_exact: true,  .. })); // broken
            assert_matches!(matches.next(), None);
        });
        assert_matches!(iter.next(), Some(Document { id: DocumentId(1), matches, .. }) => {
            let mut iter = matches.into_iter();
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 0, word_index: 0, is_exact: true,  .. })); // NYC = new
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 1, word_index: 1, is_exact: true,  .. })); // NYC = york
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 2, word_index: 2, is_exact: true,  .. })); // NYC = city
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 3, word_index: 4, is_exact: true,  .. })); // subway = underground
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 4, word_index: 5, is_exact: true,  .. })); // subway = train
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 5, word_index: 6, is_exact: true,  .. })); // broken
            assert_matches!(iter.next(), None);
        });
        assert_matches!(iter.next(), Some(Document { id: DocumentId(0), matches, .. }) => {
            let mut iter = matches.into_iter();
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 0, word_index: 0, is_exact: true,  .. })); // NY = new
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 1, word_index: 1, is_exact: true,  .. })); // NY = york
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 2, word_index: 2, is_exact: true,  .. })); // NY = city
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 3, word_index: 3, is_exact: true,  .. })); // subway = underground
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 4, word_index: 4, is_exact: true,  .. })); // subway = train
            assert_matches!(iter.next(), None);
        });
        assert_matches!(iter.next(), None);

        let builder = store.query_builder();
        let results = builder
            .query(&reader, "new york city underground train broken", 0..20)
            .unwrap();
        let mut iter = results.into_iter();

        assert_matches!(iter.next(), Some(Document { id: DocumentId(2), matches, .. }) => {
            let mut matches = matches.into_iter();
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 0, word_index: 0, is_exact: false, .. })); // new
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 0, word_index: 0, is_exact: false, .. })); // new
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 0, word_index: 0, is_exact: true,  .. })); // new
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 1, word_index: 1, is_exact: false, .. })); // york
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 1, word_index: 1, is_exact: false, .. })); // york
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 1, word_index: 1, is_exact: true,  .. })); // york
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 2, word_index: 2, is_exact: false, .. })); // city
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 3, word_index: 3, is_exact: true,  .. })); // underground
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 4, word_index: 4, is_exact: true,  .. })); // train
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 5, word_index: 5, is_exact: true,  .. })); // broken
            assert_matches!(matches.next(), None);
        });
        assert_matches!(iter.next(), Some(Document { id: DocumentId(1), matches, .. }) => {
            let mut iter = matches.into_iter();
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 0, word_index: 0, is_exact: true, .. })); // NYC = new
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 0, word_index: 0, is_exact: true, .. })); // NYC = new
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 1, word_index: 1, is_exact: true, .. })); // NYC = york
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 1, word_index: 1, is_exact: true, .. })); // NYC = york
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 2, word_index: 2, is_exact: true, .. })); // NYC = city
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 3, word_index: 4, is_exact: true, .. })); // subway = underground
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 4, word_index: 5, is_exact: true, .. })); // subway = train
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 5, word_index: 6, is_exact: true, .. })); // broken
            assert_matches!(iter.next(), None);
        });
        assert_matches!(iter.next(), Some(Document { id: DocumentId(0), matches, .. }) => {
            let mut iter = matches.into_iter();
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 0, word_index: 0, is_exact: true,  .. })); // NY = new
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 0, word_index: 0, is_exact: true,  .. })); // NY = new
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 1, word_index: 1, is_exact: true,  .. })); // NY = york
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 1, word_index: 1, is_exact: true,  .. })); // NY = york
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 2, word_index: 2, is_exact: true,  .. })); // NY = city
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 3, word_index: 3, is_exact: true,  .. })); // subway = underground
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 4, word_index: 4, is_exact: true,  .. })); // subway = train
            assert_matches!(iter.next(), None);
        });
        assert_matches!(iter.next(), None);
    }

    #[test]
    fn intercrossed_multiword_synonyms() {
        let mut store = TempDatabase::from_iter(vec![
            ("new", &[doc_index(0, 0)][..]),
            ("york", &[doc_index(0, 1)][..]),
            ("big", &[doc_index(0, 2)][..]),
            ("city", &[doc_index(0, 3)][..]),
        ]);

        store.add_synonym("new york", SetBuf::from_dirty(vec!["new york city"]));
        store.add_synonym("new york city", SetBuf::from_dirty(vec!["new york"]));

        let db = &store.database;
        let reader = db.main_read_txn().unwrap();

        let builder = store.query_builder();
        let results = builder.query(&reader, "new york big ", 0..20).unwrap();
        let mut iter = results.into_iter();

        assert_matches!(iter.next(), Some(Document { id: DocumentId(0), matches, .. }) => {
            let mut matches = matches.into_iter();
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 0, word_index: 0, is_exact: false, .. })); // new
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 0, word_index: 0, is_exact: true,  .. })); // new

            assert_matches!(matches.next(), Some(TmpMatch { query_index: 1, word_index: 1, is_exact: false, .. })); // york
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 1, word_index: 1, is_exact: true,  .. })); // york

            assert_matches!(matches.next(), Some(TmpMatch { query_index: 2, word_index: 2, is_exact: true,  .. })); // city
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 2, word_index: 4, is_exact: false, .. })); // city

            assert_matches!(matches.next(), Some(TmpMatch { query_index: 3, word_index: 3, is_exact: true,  .. })); // big
            assert_matches!(matches.next(), None);
        });
        assert_matches!(iter.next(), None);

        let mut store = TempDatabase::from_iter(vec![
            ("NY", &[doc_index(0, 0)][..]),
            ("city", &[doc_index(0, 1)][..]),
            ("subway", &[doc_index(0, 2)][..]),
            ("NY", &[doc_index(1, 0)][..]),
            ("subway", &[doc_index(1, 1)][..]),
            ("NY", &[doc_index(2, 0)][..]),
            ("york", &[doc_index(2, 1)][..]),
            ("city", &[doc_index(2, 2)][..]),
            ("subway", &[doc_index(2, 3)][..]),
        ]);

        store.add_synonym("NY", SetBuf::from_dirty(vec!["new york city story"]));

        let db = &store.database;
        let reader = db.main_read_txn().unwrap();

        let builder = store.query_builder();
        let results = builder.query(&reader, "NY subway ", 0..20).unwrap();
        let mut iter = results.into_iter();

        assert_matches!(iter.next(), Some(Document { id: DocumentId(1), matches, .. }) => {
            let mut matches = matches.into_iter();
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 0, word_index: 0, is_exact: true, .. })); // new
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 1, word_index: 1, is_exact: true, .. })); // york
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 2, word_index: 2, is_exact: true, .. })); // city
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 3, word_index: 3, is_exact: true, .. })); // story
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 4, word_index: 4, is_exact: true, .. })); // subway
            assert_matches!(matches.next(), None);
        });
        assert_matches!(iter.next(), Some(Document { id: DocumentId(0), matches, .. }) => {
            let mut matches = matches.into_iter();
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 0, word_index: 0, is_exact: true,  .. })); // new
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 1, word_index: 1, is_exact: true,  .. })); // york
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 2, word_index: 2, is_exact: false, .. })); // city
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 2, word_index: 2, is_exact: true,  .. })); // city
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 4, word_index: 3, is_exact: true,  .. })); // subway
            assert_matches!(matches.next(), None);
        });
        assert_matches!(iter.next(), Some(Document { id: DocumentId(2), matches, .. }) => {
            let mut matches = matches.into_iter();
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 0, word_index: 0, is_exact: true,  .. })); // new
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 1, word_index: 1, is_exact: false, .. })); // york
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 1, word_index: 1, is_exact: true,  .. })); // york
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 2, word_index: 2, is_exact: false, .. })); // city
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 2, word_index: 2, is_exact: true,  .. })); // city
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 4, word_index: 3, is_exact: true,  .. })); // subway
            assert_matches!(matches.next(), None);
        });
        assert_matches!(iter.next(), None);
    }

    #[test]
    fn cumulative_word_indices() {
        let mut store = TempDatabase::from_iter(vec![
            ("NYC", &[doc_index(0, 0)][..]),
            ("long", &[doc_index(0, 1)][..]),
            ("subway", &[doc_index(0, 2)][..]),
            ("cool", &[doc_index(0, 3)][..]),
        ]);

        store.add_synonym("new york city", SetBuf::from_dirty(vec!["NYC"]));
        store.add_synonym("subway", SetBuf::from_dirty(vec!["underground train"]));

        let db = &store.database;
        let reader = db.main_read_txn().unwrap();

        let builder = store.query_builder();
        let results = builder
            .query(&reader, "new york city long subway cool ", 0..20)
            .unwrap();
        let mut iter = results.into_iter();

        assert_matches!(iter.next(), Some(Document { id: DocumentId(0), matches, .. }) => {
            let mut matches = matches.into_iter();
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 0, word_index: 0, is_exact: true,  .. })); // new  = NYC
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 1, word_index: 1, is_exact: true,  .. })); // york = NYC
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 2, word_index: 2, is_exact: true,  .. })); // city = NYC
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 3, word_index: 3, is_exact: true,  .. })); // long
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 4, word_index: 4, is_exact: true,  .. })); // subway = underground
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 5, word_index: 5, is_exact: true,  .. })); // subway = train
            assert_matches!(matches.next(), Some(TmpMatch { query_index: 6, word_index: 6, is_exact: true,  .. })); // cool
            assert_matches!(matches.next(), None);
        });
        assert_matches!(iter.next(), None);
    }

    #[test]
    fn deunicoded_synonyms() {
        let mut store = TempDatabase::from_iter(vec![
            ("telephone", &[doc_index(0, 0)][..]), // meilisearch indexes the unidecoded
            ("téléphone", &[doc_index(0, 0)][..]), // and the original words on the same DocIndex
            ("iphone", &[doc_index(1, 0)][..]),
        ]);

        store.add_synonym("téléphone", SetBuf::from_dirty(vec!["iphone"]));

        let db = &store.database;
        let reader = db.main_read_txn().unwrap();

        let builder = store.query_builder();
        let results = builder.query(&reader, "telephone", 0..20).unwrap();
        let mut iter = results.into_iter();

        assert_matches!(iter.next(), Some(Document { id: DocumentId(0), matches, .. }) => {
            let mut iter = matches.into_iter();
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 0, .. }));
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 0, .. }));
            assert_matches!(iter.next(), None);
        });
        assert_matches!(iter.next(), Some(Document { id: DocumentId(1), matches, .. }) => {
            let mut iter = matches.into_iter();
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 0, .. }));
            assert_matches!(iter.next(), None);
        });
        assert_matches!(iter.next(), None);

        let builder = store.query_builder();
        let results = builder.query(&reader, "téléphone", 0..20).unwrap();
        let mut iter = results.into_iter();

        assert_matches!(iter.next(), Some(Document { id: DocumentId(0), matches, .. }) => {
            let mut iter = matches.into_iter();
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 0, .. }));
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 0, .. }));
            assert_matches!(iter.next(), None);
        });
        assert_matches!(iter.next(), Some(Document { id: DocumentId(1), matches, .. }) => {
            let mut iter = matches.into_iter();
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 0, .. }));
            assert_matches!(iter.next(), None);
        });
        assert_matches!(iter.next(), None);

        let builder = store.query_builder();
        let results = builder.query(&reader, "télephone", 0..20).unwrap();
        let mut iter = results.into_iter();

        assert_matches!(iter.next(), Some(Document { id: DocumentId(1), matches, .. }) => {
            let mut iter = matches.into_iter();
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 0, .. }));
            assert_matches!(iter.next(), None);
        });
        assert_matches!(iter.next(), Some(Document { id: DocumentId(0), matches, .. }) => {
            let mut iter = matches.into_iter();
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 0, distance: 1, word_index: 0, is_exact: false, .. })); // iphone
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 0, distance: 1, word_index: 0, is_exact: false, .. })); // téléphone
            assert_matches!(iter.next(), None);
        });
        assert_matches!(iter.next(), None);
    }

    #[test]
    fn simple_concatenation() {
        let store = TempDatabase::from_iter(vec![
            ("iphone", &[doc_index(0, 0)][..]),
            ("case", &[doc_index(0, 1)][..]),
        ]);

        let db = &store.database;
        let reader = db.main_read_txn().unwrap();

        let builder = store.query_builder();
        let results = builder.query(&reader, "i phone case", 0..20).unwrap();
        let mut iter = results.into_iter();

        assert_matches!(iter.next(), Some(Document { id: DocumentId(0), matches, .. }) => {
            let mut iter = matches.into_iter();
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 0, word_index: 0, distance: 0, .. })); // iphone
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 1, word_index: 1, distance: 0, .. })); // iphone
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 1, word_index: 0, distance: 1, .. })); // phone
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 2, word_index: 2, distance: 0, .. })); // case
            assert_matches!(iter.next(), None);
        });
        assert_matches!(iter.next(), None);
    }

    #[test]
    fn simple_phrase_query_splitting() {
        let store = TempDatabase::from_iter(vec![
            ("search", &[doc_index(0, 0)][..]),
            ("engine", &[doc_index(0, 1)][..]),
            ("search", &[doc_index(1, 0)][..]),
            ("slow", &[doc_index(1, 1)][..]),
            ("engine", &[doc_index(1, 2)][..]),
        ]);

        let db = &store.database;
        let reader = db.main_read_txn().unwrap();

        let builder = store.query_builder();
        let results = builder.query(&reader, "searchengine", 0..20).unwrap();
        let mut iter = results.into_iter();

        assert_matches!(iter.next(), Some(Document { id: DocumentId(0), matches, .. }) => {
            let mut iter = matches.into_iter();
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 0, word_index: 0, distance: 0, .. })); // search
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 0, word_index: 1, distance: 0, .. })); // engine
            assert_matches!(iter.next(), None);
        });
        assert_matches!(iter.next(), None);
    }

    #[test]
    fn harder_phrase_query_splitting() {
        let store = TempDatabase::from_iter(vec![
            ("search", &[doc_index(0, 0)][..]),
            ("search", &[doc_index(0, 1)][..]),
            ("engine", &[doc_index(0, 2)][..]),
            ("search", &[doc_index(1, 0)][..]),
            ("slow", &[doc_index(1, 1)][..]),
            ("search", &[doc_index(1, 2)][..]),
            ("engine", &[doc_index(1, 3)][..]),
            ("search", &[doc_index(1, 0)][..]),
            ("search", &[doc_index(1, 1)][..]),
            ("slow", &[doc_index(1, 2)][..]),
            ("engine", &[doc_index(1, 3)][..]),
        ]);

        let db = &store.database;
        let reader = db.main_read_txn().unwrap();

        let builder = store.query_builder();
        let results = builder.query(&reader, "searchengine", 0..20).unwrap();
        let mut iter = results.into_iter();

        assert_matches!(iter.next(), Some(Document { id: DocumentId(0), matches, .. }) => {
            let mut iter = matches.into_iter();
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 0, word_index: 1, distance: 0, .. })); // search
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 0, word_index: 2, distance: 0, .. })); // engine
            assert_matches!(iter.next(), None);
        });
        assert_matches!(iter.next(), Some(Document { id: DocumentId(1), matches, .. }) => {
            let mut iter = matches.into_iter();
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 0, word_index: 2, distance: 0, .. })); // search
            assert_matches!(iter.next(), Some(TmpMatch { query_index: 0, word_index: 3, distance: 0, .. })); // engine
            assert_matches!(iter.next(), None);
        });
        assert_matches!(iter.next(), None);
    }
}