mirror of
https://github.com/meilisearch/meilisearch.git
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use rust struct destructuring for SearchAggregator
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commit
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@ -615,19 +615,43 @@ pub struct SearchAggregator {
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impl SearchAggregator {
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impl SearchAggregator {
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pub fn from_query(query: &SearchQuery, request: &HttpRequest) -> Self {
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pub fn from_query(query: &SearchQuery, request: &HttpRequest) -> Self {
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let SearchQuery {
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q,
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vector,
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offset,
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limit,
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page,
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hits_per_page,
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attributes_to_retrieve: _,
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attributes_to_crop: _,
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crop_length,
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attributes_to_highlight: _,
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show_matches_position,
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show_ranking_score,
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show_ranking_score_details,
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filter,
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sort,
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facets: _,
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highlight_pre_tag,
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highlight_post_tag,
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crop_marker,
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matching_strategy,
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attributes_to_search_on,
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} = query;
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let mut ret = Self::default();
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let mut ret = Self::default();
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ret.timestamp = Some(OffsetDateTime::now_utc());
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ret.timestamp = Some(OffsetDateTime::now_utc());
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ret.total_received = 1;
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ret.total_received = 1;
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ret.user_agents = extract_user_agents(request).into_iter().collect();
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ret.user_agents = extract_user_agents(request).into_iter().collect();
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if let Some(ref sort) = query.sort {
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if let Some(ref sort) = sort {
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ret.sort_total_number_of_criteria = 1;
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ret.sort_total_number_of_criteria = 1;
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ret.sort_with_geo_point = sort.iter().any(|s| s.contains("_geoPoint("));
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ret.sort_with_geo_point = sort.iter().any(|s| s.contains("_geoPoint("));
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ret.sort_sum_of_criteria_terms = sort.len();
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ret.sort_sum_of_criteria_terms = sort.len();
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}
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}
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if let Some(ref filter) = query.filter {
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if let Some(ref filter) = filter {
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static RE: Lazy<Regex> = Lazy::new(|| Regex::new("AND | OR").unwrap());
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static RE: Lazy<Regex> = Lazy::new(|| Regex::new("AND | OR").unwrap());
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ret.filter_total_number_of_criteria = 1;
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ret.filter_total_number_of_criteria = 1;
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@ -652,80 +676,124 @@ impl SearchAggregator {
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}
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}
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// attributes_to_search_on
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// attributes_to_search_on
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if let Some(_) = query.attributes_to_search_on {
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if let Some(_) = attributes_to_search_on {
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ret.attributes_to_search_on_total_number_of_uses = 1;
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ret.attributes_to_search_on_total_number_of_uses = 1;
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}
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}
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if let Some(ref q) = query.q {
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if let Some(ref q) = q {
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ret.max_terms_number = q.split_whitespace().count();
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ret.max_terms_number = q.split_whitespace().count();
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}
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}
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if let Some(ref vector) = query.vector {
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if let Some(ref vector) = vector {
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ret.max_vector_size = vector.len();
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ret.max_vector_size = vector.len();
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}
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}
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if query.is_finite_pagination() {
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if query.is_finite_pagination() {
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let limit = query.hits_per_page.unwrap_or_else(DEFAULT_SEARCH_LIMIT);
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let limit = hits_per_page.unwrap_or_else(DEFAULT_SEARCH_LIMIT);
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ret.max_limit = limit;
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ret.max_limit = limit;
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ret.max_offset = query.page.unwrap_or(1).saturating_sub(1) * limit;
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ret.max_offset = page.unwrap_or(1).saturating_sub(1) * limit;
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ret.finite_pagination = 1;
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ret.finite_pagination = 1;
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} else {
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} else {
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ret.max_limit = query.limit;
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ret.max_limit = *limit;
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ret.max_offset = query.offset;
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ret.max_offset = *offset;
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ret.finite_pagination = 0;
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ret.finite_pagination = 0;
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}
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}
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ret.matching_strategy.insert(format!("{:?}", query.matching_strategy), 1);
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ret.matching_strategy.insert(format!("{:?}", matching_strategy), 1);
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ret.highlight_pre_tag = query.highlight_pre_tag != DEFAULT_HIGHLIGHT_PRE_TAG();
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ret.highlight_pre_tag = *highlight_pre_tag != DEFAULT_HIGHLIGHT_PRE_TAG();
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ret.highlight_post_tag = query.highlight_post_tag != DEFAULT_HIGHLIGHT_POST_TAG();
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ret.highlight_post_tag = *highlight_post_tag != DEFAULT_HIGHLIGHT_POST_TAG();
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ret.crop_marker = query.crop_marker != DEFAULT_CROP_MARKER();
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ret.crop_marker = *crop_marker != DEFAULT_CROP_MARKER();
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ret.crop_length = query.crop_length != DEFAULT_CROP_LENGTH();
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ret.crop_length = *crop_length != DEFAULT_CROP_LENGTH();
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ret.show_matches_position = query.show_matches_position;
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ret.show_matches_position = *show_matches_position;
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ret.show_ranking_score = query.show_ranking_score;
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ret.show_ranking_score = *show_ranking_score;
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ret.show_ranking_score_details = query.show_ranking_score_details;
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ret.show_ranking_score_details = *show_ranking_score_details;
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ret
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ret
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}
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}
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pub fn succeed(&mut self, result: &SearchResult) {
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pub fn succeed(&mut self, result: &SearchResult) {
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let SearchResult {
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hits: _,
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query: _,
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vector: _,
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processing_time_ms,
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hits_info: _,
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facet_distribution: _,
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facet_stats: _,
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} = result;
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self.total_succeeded = self.total_succeeded.saturating_add(1);
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self.total_succeeded = self.total_succeeded.saturating_add(1);
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self.time_spent.push(result.processing_time_ms as usize);
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self.time_spent.push(*processing_time_ms as usize);
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}
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}
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/// Aggregate one [SearchAggregator] into another.
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/// Aggregate one [SearchAggregator] into another.
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pub fn aggregate(&mut self, mut other: Self) {
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pub fn aggregate(&mut self, mut other: Self) {
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let Self {
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timestamp,
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user_agents,
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total_received,
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total_succeeded,
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ref mut time_spent,
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sort_with_geo_point,
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sort_sum_of_criteria_terms,
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sort_total_number_of_criteria,
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filter_with_geo_radius,
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filter_with_geo_bounding_box,
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filter_sum_of_criteria_terms,
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filter_total_number_of_criteria,
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used_syntax,
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attributes_to_search_on_total_number_of_uses,
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max_terms_number,
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max_vector_size,
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matching_strategy,
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max_limit,
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max_offset,
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finite_pagination,
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max_attributes_to_retrieve,
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max_attributes_to_highlight,
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highlight_pre_tag,
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highlight_post_tag,
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max_attributes_to_crop,
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crop_marker,
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show_matches_position,
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crop_length,
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facets_sum_of_terms,
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facets_total_number_of_facets,
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show_ranking_score,
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show_ranking_score_details,
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} = other;
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if self.timestamp.is_none() {
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if self.timestamp.is_none() {
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self.timestamp = other.timestamp;
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self.timestamp = timestamp;
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}
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}
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// context
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// context
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for user_agent in other.user_agents.into_iter() {
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for user_agent in user_agents.into_iter() {
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self.user_agents.insert(user_agent);
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self.user_agents.insert(user_agent);
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}
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}
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// request
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// request
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self.total_received = self.total_received.saturating_add(other.total_received);
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self.total_received = self.total_received.saturating_add(total_received);
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self.total_succeeded = self.total_succeeded.saturating_add(other.total_succeeded);
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self.total_succeeded = self.total_succeeded.saturating_add(total_succeeded);
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self.time_spent.append(&mut other.time_spent);
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self.time_spent.append(time_spent);
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// sort
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// sort
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self.sort_with_geo_point |= other.sort_with_geo_point;
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self.sort_with_geo_point |= sort_with_geo_point;
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self.sort_sum_of_criteria_terms =
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self.sort_sum_of_criteria_terms =
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self.sort_sum_of_criteria_terms.saturating_add(other.sort_sum_of_criteria_terms);
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self.sort_sum_of_criteria_terms.saturating_add(sort_sum_of_criteria_terms);
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self.sort_total_number_of_criteria =
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self.sort_total_number_of_criteria =
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self.sort_total_number_of_criteria.saturating_add(other.sort_total_number_of_criteria);
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self.sort_total_number_of_criteria.saturating_add(sort_total_number_of_criteria);
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// filter
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// filter
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self.filter_with_geo_radius |= other.filter_with_geo_radius;
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self.filter_with_geo_radius |= filter_with_geo_radius;
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self.filter_with_geo_bounding_box |= other.filter_with_geo_bounding_box;
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self.filter_with_geo_bounding_box |= filter_with_geo_bounding_box;
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self.filter_sum_of_criteria_terms =
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self.filter_sum_of_criteria_terms =
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self.filter_sum_of_criteria_terms.saturating_add(other.filter_sum_of_criteria_terms);
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self.filter_sum_of_criteria_terms.saturating_add(filter_sum_of_criteria_terms);
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self.filter_total_number_of_criteria = self
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self.filter_total_number_of_criteria =
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.filter_total_number_of_criteria
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self.filter_total_number_of_criteria.saturating_add(filter_total_number_of_criteria);
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.saturating_add(other.filter_total_number_of_criteria);
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for (key, value) in used_syntax.into_iter() {
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for (key, value) in other.used_syntax.into_iter() {
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let used_syntax = self.used_syntax.entry(key).or_insert(0);
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let used_syntax = self.used_syntax.entry(key).or_insert(0);
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*used_syntax = used_syntax.saturating_add(value);
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*used_syntax = used_syntax.saturating_add(value);
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}
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}
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@ -733,115 +801,149 @@ impl SearchAggregator {
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// attributes_to_search_on
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// attributes_to_search_on
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self.attributes_to_search_on_total_number_of_uses = self
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self.attributes_to_search_on_total_number_of_uses = self
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.attributes_to_search_on_total_number_of_uses
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.attributes_to_search_on_total_number_of_uses
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.saturating_add(other.attributes_to_search_on_total_number_of_uses);
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.saturating_add(attributes_to_search_on_total_number_of_uses);
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// q
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// q
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self.max_terms_number = self.max_terms_number.max(other.max_terms_number);
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self.max_terms_number = self.max_terms_number.max(max_terms_number);
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// vector
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// vector
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self.max_vector_size = self.max_vector_size.max(other.max_vector_size);
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self.max_vector_size = self.max_vector_size.max(max_vector_size);
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// pagination
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// pagination
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self.max_limit = self.max_limit.max(other.max_limit);
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self.max_limit = self.max_limit.max(max_limit);
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self.max_offset = self.max_offset.max(other.max_offset);
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self.max_offset = self.max_offset.max(max_offset);
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self.finite_pagination += other.finite_pagination;
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self.finite_pagination += finite_pagination;
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// formatting
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// formatting
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self.max_attributes_to_retrieve =
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self.max_attributes_to_retrieve =
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self.max_attributes_to_retrieve.max(other.max_attributes_to_retrieve);
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self.max_attributes_to_retrieve.max(max_attributes_to_retrieve);
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self.max_attributes_to_highlight =
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self.max_attributes_to_highlight =
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self.max_attributes_to_highlight.max(other.max_attributes_to_highlight);
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self.max_attributes_to_highlight.max(max_attributes_to_highlight);
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self.highlight_pre_tag |= other.highlight_pre_tag;
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self.highlight_pre_tag |= highlight_pre_tag;
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self.highlight_post_tag |= other.highlight_post_tag;
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self.highlight_post_tag |= highlight_post_tag;
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self.max_attributes_to_crop = self.max_attributes_to_crop.max(other.max_attributes_to_crop);
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self.max_attributes_to_crop = self.max_attributes_to_crop.max(max_attributes_to_crop);
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self.crop_marker |= other.crop_marker;
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self.crop_marker |= crop_marker;
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self.show_matches_position |= other.show_matches_position;
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self.show_matches_position |= show_matches_position;
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self.crop_length |= other.crop_length;
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self.crop_length |= crop_length;
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// facets
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// facets
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self.facets_sum_of_terms =
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self.facets_sum_of_terms = self.facets_sum_of_terms.saturating_add(facets_sum_of_terms);
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self.facets_sum_of_terms.saturating_add(other.facets_sum_of_terms);
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self.facets_total_number_of_facets =
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self.facets_total_number_of_facets =
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self.facets_total_number_of_facets.saturating_add(other.facets_total_number_of_facets);
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self.facets_total_number_of_facets.saturating_add(facets_total_number_of_facets);
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// matching strategy
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// matching strategy
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for (key, value) in other.matching_strategy.into_iter() {
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for (key, value) in matching_strategy.into_iter() {
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let matching_strategy = self.matching_strategy.entry(key).or_insert(0);
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let matching_strategy = self.matching_strategy.entry(key).or_insert(0);
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*matching_strategy = matching_strategy.saturating_add(value);
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*matching_strategy = matching_strategy.saturating_add(value);
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}
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}
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// scoring
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// scoring
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self.show_ranking_score |= other.show_ranking_score;
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self.show_ranking_score |= show_ranking_score;
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self.show_ranking_score_details |= other.show_ranking_score_details;
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self.show_ranking_score_details |= show_ranking_score_details;
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}
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}
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pub fn into_event(self, user: &User, event_name: &str) -> Option<Track> {
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pub fn into_event(self, user: &User, event_name: &str) -> Option<Track> {
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let Self {
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timestamp,
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user_agents,
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total_received,
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total_succeeded,
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time_spent,
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sort_with_geo_point,
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sort_sum_of_criteria_terms,
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sort_total_number_of_criteria,
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filter_with_geo_radius,
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filter_with_geo_bounding_box,
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filter_sum_of_criteria_terms,
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filter_total_number_of_criteria,
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used_syntax,
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attributes_to_search_on_total_number_of_uses,
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max_terms_number,
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max_vector_size,
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matching_strategy,
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max_limit,
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max_offset,
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finite_pagination,
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max_attributes_to_retrieve,
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max_attributes_to_highlight,
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highlight_pre_tag,
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highlight_post_tag,
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max_attributes_to_crop,
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crop_marker,
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show_matches_position,
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crop_length,
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facets_sum_of_terms,
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facets_total_number_of_facets,
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show_ranking_score,
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show_ranking_score_details,
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} = self;
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if self.total_received == 0 {
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if self.total_received == 0 {
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None
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None
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} else {
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} else {
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// we get all the values in a sorted manner
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// we get all the values in a sorted manner
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let time_spent = self.time_spent.into_sorted_vec();
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let time_spent = time_spent.into_sorted_vec();
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// the index of the 99th percentage of value
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// the index of the 99th percentage of value
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let percentile_99th = time_spent.len() * 99 / 100;
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let percentile_99th = time_spent.len() * 99 / 100;
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// We are only interested by the slowest value of the 99th fastest results
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// We are only interested by the slowest value of the 99th fastest results
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let time_spent = time_spent.get(percentile_99th);
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let time_spent = time_spent.get(percentile_99th);
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let properties = json!({
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let properties = json!({
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"user-agent": self.user_agents,
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"user-agent": user_agents,
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"requests": {
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"requests": {
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"99th_response_time": time_spent.map(|t| format!("{:.2}", t)),
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"99th_response_time": time_spent.map(|t| format!("{:.2}", t)),
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"total_succeeded": self.total_succeeded,
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"total_succeeded": total_succeeded,
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"total_failed": self.total_received.saturating_sub(self.total_succeeded), // just to be sure we never panics
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"total_failed": total_received.saturating_sub(total_succeeded), // just to be sure we never panics
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"total_received": self.total_received,
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"total_received": total_received,
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},
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},
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"sort": {
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"sort": {
|
||||||
"with_geoPoint": self.sort_with_geo_point,
|
"with_geoPoint": sort_with_geo_point,
|
||||||
"avg_criteria_number": format!("{:.2}", self.sort_sum_of_criteria_terms as f64 / self.sort_total_number_of_criteria as f64),
|
"avg_criteria_number": format!("{:.2}", sort_sum_of_criteria_terms as f64 / sort_total_number_of_criteria as f64),
|
||||||
},
|
},
|
||||||
"filter": {
|
"filter": {
|
||||||
"with_geoRadius": self.filter_with_geo_radius,
|
"with_geoRadius": filter_with_geo_radius,
|
||||||
"with_geoBoundingBox": self.filter_with_geo_bounding_box,
|
"with_geoBoundingBox": filter_with_geo_bounding_box,
|
||||||
"avg_criteria_number": format!("{:.2}", self.filter_sum_of_criteria_terms as f64 / self.filter_total_number_of_criteria as f64),
|
"avg_criteria_number": format!("{:.2}", filter_sum_of_criteria_terms as f64 / filter_total_number_of_criteria as f64),
|
||||||
"most_used_syntax": self.used_syntax.iter().max_by_key(|(_, v)| *v).map(|(k, _)| json!(k)).unwrap_or_else(|| json!(null)),
|
"most_used_syntax": used_syntax.iter().max_by_key(|(_, v)| *v).map(|(k, _)| json!(k)).unwrap_or_else(|| json!(null)),
|
||||||
},
|
},
|
||||||
"attributes_to_search_on": {
|
"attributes_to_search_on": {
|
||||||
"total_number_of_uses": self.attributes_to_search_on_total_number_of_uses,
|
"total_number_of_uses": attributes_to_search_on_total_number_of_uses,
|
||||||
},
|
},
|
||||||
"q": {
|
"q": {
|
||||||
"max_terms_number": self.max_terms_number,
|
"max_terms_number": max_terms_number,
|
||||||
},
|
},
|
||||||
"vector": {
|
"vector": {
|
||||||
"max_vector_size": self.max_vector_size,
|
"max_vector_size": max_vector_size,
|
||||||
},
|
},
|
||||||
"pagination": {
|
"pagination": {
|
||||||
"max_limit": self.max_limit,
|
"max_limit": max_limit,
|
||||||
"max_offset": self.max_offset,
|
"max_offset": max_offset,
|
||||||
"most_used_navigation": if self.finite_pagination > (self.total_received / 2) { "exhaustive" } else { "estimated" },
|
"most_used_navigation": if finite_pagination > (total_received / 2) { "exhaustive" } else { "estimated" },
|
||||||
},
|
},
|
||||||
"formatting": {
|
"formatting": {
|
||||||
"max_attributes_to_retrieve": self.max_attributes_to_retrieve,
|
"max_attributes_to_retrieve": max_attributes_to_retrieve,
|
||||||
"max_attributes_to_highlight": self.max_attributes_to_highlight,
|
"max_attributes_to_highlight": max_attributes_to_highlight,
|
||||||
"highlight_pre_tag": self.highlight_pre_tag,
|
"highlight_pre_tag": highlight_pre_tag,
|
||||||
"highlight_post_tag": self.highlight_post_tag,
|
"highlight_post_tag": highlight_post_tag,
|
||||||
"max_attributes_to_crop": self.max_attributes_to_crop,
|
"max_attributes_to_crop": max_attributes_to_crop,
|
||||||
"crop_marker": self.crop_marker,
|
"crop_marker": crop_marker,
|
||||||
"show_matches_position": self.show_matches_position,
|
"show_matches_position": show_matches_position,
|
||||||
"crop_length": self.crop_length,
|
"crop_length": crop_length,
|
||||||
},
|
},
|
||||||
"facets": {
|
"facets": {
|
||||||
"avg_facets_number": format!("{:.2}", self.facets_sum_of_terms as f64 / self.facets_total_number_of_facets as f64),
|
"avg_facets_number": format!("{:.2}", facets_sum_of_terms as f64 / facets_total_number_of_facets as f64),
|
||||||
},
|
},
|
||||||
"matching_strategy": {
|
"matching_strategy": {
|
||||||
"most_used_strategy": self.matching_strategy.iter().max_by_key(|(_, v)| *v).map(|(k, _)| json!(k)).unwrap_or_else(|| json!(null)),
|
"most_used_strategy": matching_strategy.iter().max_by_key(|(_, v)| *v).map(|(k, _)| json!(k)).unwrap_or_else(|| json!(null)),
|
||||||
},
|
},
|
||||||
"scoring": {
|
"scoring": {
|
||||||
"show_ranking_score": self.show_ranking_score,
|
"show_ranking_score": show_ranking_score,
|
||||||
"show_ranking_score_details": self.show_ranking_score_details,
|
"show_ranking_score_details": show_ranking_score_details,
|
||||||
},
|
},
|
||||||
});
|
});
|
||||||
|
|
||||||
Some(Track {
|
Some(Track {
|
||||||
timestamp: self.timestamp,
|
timestamp: timestamp,
|
||||||
user: user.clone(),
|
user: user.clone(),
|
||||||
event: event_name.to_string(),
|
event: event_name.to_string(),
|
||||||
properties,
|
properties,
|
||||||
|
Loading…
Reference in New Issue
Block a user