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use rust struct destructuring for SearchAggregator

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Vivek Kumar 2023-09-11 19:49:09 +05:30
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1 changed files with 185 additions and 83 deletions
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meilisearch/src/analytics/segment_analytics.rs
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@ -615,19 +615,43 @@ pub struct SearchAggregator {
impl SearchAggregator { impl SearchAggregator {
pub fn from_query(query: &SearchQuery, request: &HttpRequest) -> Self { pub fn from_query(query: &SearchQuery, request: &HttpRequest) -> Self {
let SearchQuery {
q,
vector,
offset,
limit,
page,
hits_per_page,
attributes_to_retrieve: _,
attributes_to_crop: _,
crop_length,
attributes_to_highlight: _,
show_matches_position,
show_ranking_score,
show_ranking_score_details,
filter,
sort,
facets: _,
highlight_pre_tag,
highlight_post_tag,
crop_marker,
matching_strategy,
attributes_to_search_on,
} = query;
let mut ret = Self::default(); let mut ret = Self::default();
ret.timestamp = Some(OffsetDateTime::now_utc()); ret.timestamp = Some(OffsetDateTime::now_utc());
ret.total_received = 1; ret.total_received = 1;
ret.user_agents = extract_user_agents(request).into_iter().collect(); ret.user_agents = extract_user_agents(request).into_iter().collect();
if let Some(ref sort) = query.sort { if let Some(ref sort) = sort {
ret.sort_total_number_of_criteria = 1; ret.sort_total_number_of_criteria = 1;
ret.sort_with_geo_point = sort.iter().any(|s| s.contains("_geoPoint(")); ret.sort_with_geo_point = sort.iter().any(|s| s.contains("_geoPoint("));
ret.sort_sum_of_criteria_terms = sort.len(); ret.sort_sum_of_criteria_terms = sort.len();
} }
if let Some(ref filter) = query.filter { if let Some(ref filter) = filter {
static RE: Lazy<Regex> = Lazy::new(|| Regex::new("AND | OR").unwrap()); static RE: Lazy<Regex> = Lazy::new(|| Regex::new("AND | OR").unwrap());
ret.filter_total_number_of_criteria = 1; ret.filter_total_number_of_criteria = 1;
@ -652,80 +676,124 @@ impl SearchAggregator {
} }
// attributes_to_search_on // attributes_to_search_on
if let Some(_) = query.attributes_to_search_on { if let Some(_) = attributes_to_search_on {
ret.attributes_to_search_on_total_number_of_uses = 1; ret.attributes_to_search_on_total_number_of_uses = 1;
} }
if let Some(ref q) = query.q { if let Some(ref q) = q {
ret.max_terms_number = q.split_whitespace().count(); ret.max_terms_number = q.split_whitespace().count();
} }
if let Some(ref vector) = query.vector { if let Some(ref vector) = vector {
ret.max_vector_size = vector.len(); ret.max_vector_size = vector.len();
} }
if query.is_finite_pagination() { if query.is_finite_pagination() {
let limit = query.hits_per_page.unwrap_or_else(DEFAULT_SEARCH_LIMIT); let limit = hits_per_page.unwrap_or_else(DEFAULT_SEARCH_LIMIT);
ret.max_limit = limit; ret.max_limit = limit;
ret.max_offset = query.page.unwrap_or(1).saturating_sub(1) * limit; ret.max_offset = page.unwrap_or(1).saturating_sub(1) * limit;
ret.finite_pagination = 1; ret.finite_pagination = 1;
} else { } else {
ret.max_limit = query.limit; ret.max_limit = *limit;
ret.max_offset = query.offset; ret.max_offset = *offset;
ret.finite_pagination = 0; ret.finite_pagination = 0;
} }
ret.matching_strategy.insert(format!("{:?}", query.matching_strategy), 1); ret.matching_strategy.insert(format!("{:?}", matching_strategy), 1);
ret.highlight_pre_tag = query.highlight_pre_tag != DEFAULT_HIGHLIGHT_PRE_TAG(); ret.highlight_pre_tag = *highlight_pre_tag != DEFAULT_HIGHLIGHT_PRE_TAG();
ret.highlight_post_tag = query.highlight_post_tag != DEFAULT_HIGHLIGHT_POST_TAG(); ret.highlight_post_tag = *highlight_post_tag != DEFAULT_HIGHLIGHT_POST_TAG();
ret.crop_marker = query.crop_marker != DEFAULT_CROP_MARKER(); ret.crop_marker = *crop_marker != DEFAULT_CROP_MARKER();
ret.crop_length = query.crop_length != DEFAULT_CROP_LENGTH(); ret.crop_length = *crop_length != DEFAULT_CROP_LENGTH();
ret.show_matches_position = query.show_matches_position; ret.show_matches_position = *show_matches_position;
ret.show_ranking_score = query.show_ranking_score; ret.show_ranking_score = *show_ranking_score;
ret.show_ranking_score_details = query.show_ranking_score_details; ret.show_ranking_score_details = *show_ranking_score_details;
ret ret
} }
pub fn succeed(&mut self, result: &SearchResult) { pub fn succeed(&mut self, result: &SearchResult) {
let SearchResult {
hits: _,
query: _,
vector: _,
processing_time_ms,
hits_info: _,
facet_distribution: _,
facet_stats: _,
} = result;
self.total_succeeded = self.total_succeeded.saturating_add(1); self.total_succeeded = self.total_succeeded.saturating_add(1);
self.time_spent.push(result.processing_time_ms as usize); self.time_spent.push(*processing_time_ms as usize);
} }
/// Aggregate one [SearchAggregator] into another. /// Aggregate one [SearchAggregator] into another.
pub fn aggregate(&mut self, mut other: Self) { pub fn aggregate(&mut self, mut other: Self) {
let Self {
timestamp,
user_agents,
total_received,
total_succeeded,
ref mut time_spent,
sort_with_geo_point,
sort_sum_of_criteria_terms,
sort_total_number_of_criteria,
filter_with_geo_radius,
filter_with_geo_bounding_box,
filter_sum_of_criteria_terms,
filter_total_number_of_criteria,
used_syntax,
attributes_to_search_on_total_number_of_uses,
max_terms_number,
max_vector_size,
matching_strategy,
max_limit,
max_offset,
finite_pagination,
max_attributes_to_retrieve,
max_attributes_to_highlight,
highlight_pre_tag,
highlight_post_tag,
max_attributes_to_crop,
crop_marker,
show_matches_position,
crop_length,
facets_sum_of_terms,
facets_total_number_of_facets,
show_ranking_score,
show_ranking_score_details,
} = other;
if self.timestamp.is_none() { if self.timestamp.is_none() {
self.timestamp = other.timestamp; self.timestamp = timestamp;
} }
// context // context
for user_agent in other.user_agents.into_iter() { for user_agent in user_agents.into_iter() {
self.user_agents.insert(user_agent); self.user_agents.insert(user_agent);
} }
// request // request
self.total_received = self.total_received.saturating_add(other.total_received); self.total_received = self.total_received.saturating_add(total_received);
self.total_succeeded = self.total_succeeded.saturating_add(other.total_succeeded); self.total_succeeded = self.total_succeeded.saturating_add(total_succeeded);
self.time_spent.append(&mut other.time_spent); self.time_spent.append(time_spent);
// sort // sort
self.sort_with_geo_point |= other.sort_with_geo_point; self.sort_with_geo_point |= sort_with_geo_point;
self.sort_sum_of_criteria_terms = self.sort_sum_of_criteria_terms =
self.sort_sum_of_criteria_terms.saturating_add(other.sort_sum_of_criteria_terms); self.sort_sum_of_criteria_terms.saturating_add(sort_sum_of_criteria_terms);
self.sort_total_number_of_criteria = self.sort_total_number_of_criteria =
self.sort_total_number_of_criteria.saturating_add(other.sort_total_number_of_criteria); self.sort_total_number_of_criteria.saturating_add(sort_total_number_of_criteria);
// filter // filter
self.filter_with_geo_radius |= other.filter_with_geo_radius; self.filter_with_geo_radius |= filter_with_geo_radius;
self.filter_with_geo_bounding_box |= other.filter_with_geo_bounding_box; self.filter_with_geo_bounding_box |= filter_with_geo_bounding_box;
self.filter_sum_of_criteria_terms = self.filter_sum_of_criteria_terms =
self.filter_sum_of_criteria_terms.saturating_add(other.filter_sum_of_criteria_terms); self.filter_sum_of_criteria_terms.saturating_add(filter_sum_of_criteria_terms);
self.filter_total_number_of_criteria = self self.filter_total_number_of_criteria =
.filter_total_number_of_criteria self.filter_total_number_of_criteria.saturating_add(filter_total_number_of_criteria);
.saturating_add(other.filter_total_number_of_criteria); for (key, value) in used_syntax.into_iter() {
for (key, value) in other.used_syntax.into_iter() {
let used_syntax = self.used_syntax.entry(key).or_insert(0); let used_syntax = self.used_syntax.entry(key).or_insert(0);
*used_syntax = used_syntax.saturating_add(value); *used_syntax = used_syntax.saturating_add(value);
} }
@ -733,115 +801,149 @@ impl SearchAggregator {
// attributes_to_search_on // attributes_to_search_on
self.attributes_to_search_on_total_number_of_uses = self self.attributes_to_search_on_total_number_of_uses = self
.attributes_to_search_on_total_number_of_uses .attributes_to_search_on_total_number_of_uses
.saturating_add(other.attributes_to_search_on_total_number_of_uses); .saturating_add(attributes_to_search_on_total_number_of_uses);
// q // q
self.max_terms_number = self.max_terms_number.max(other.max_terms_number); self.max_terms_number = self.max_terms_number.max(max_terms_number);
// vector // vector
self.max_vector_size = self.max_vector_size.max(other.max_vector_size); self.max_vector_size = self.max_vector_size.max(max_vector_size);
// pagination // pagination
self.max_limit = self.max_limit.max(other.max_limit); self.max_limit = self.max_limit.max(max_limit);
self.max_offset = self.max_offset.max(other.max_offset); self.max_offset = self.max_offset.max(max_offset);
self.finite_pagination += other.finite_pagination; self.finite_pagination += finite_pagination;
// formatting // formatting
self.max_attributes_to_retrieve = self.max_attributes_to_retrieve =
self.max_attributes_to_retrieve.max(other.max_attributes_to_retrieve); self.max_attributes_to_retrieve.max(max_attributes_to_retrieve);
self.max_attributes_to_highlight = self.max_attributes_to_highlight =
self.max_attributes_to_highlight.max(other.max_attributes_to_highlight); self.max_attributes_to_highlight.max(max_attributes_to_highlight);
self.highlight_pre_tag |= other.highlight_pre_tag; self.highlight_pre_tag |= highlight_pre_tag;
self.highlight_post_tag |= other.highlight_post_tag; self.highlight_post_tag |= highlight_post_tag;
self.max_attributes_to_crop = self.max_attributes_to_crop.max(other.max_attributes_to_crop); self.max_attributes_to_crop = self.max_attributes_to_crop.max(max_attributes_to_crop);
self.crop_marker |= other.crop_marker; self.crop_marker |= crop_marker;
self.show_matches_position |= other.show_matches_position; self.show_matches_position |= show_matches_position;
self.crop_length |= other.crop_length; self.crop_length |= crop_length;
// facets // facets
self.facets_sum_of_terms = self.facets_sum_of_terms = self.facets_sum_of_terms.saturating_add(facets_sum_of_terms);
self.facets_sum_of_terms.saturating_add(other.facets_sum_of_terms);
self.facets_total_number_of_facets = self.facets_total_number_of_facets =
self.facets_total_number_of_facets.saturating_add(other.facets_total_number_of_facets); self.facets_total_number_of_facets.saturating_add(facets_total_number_of_facets);
// matching strategy // matching strategy
for (key, value) in other.matching_strategy.into_iter() { for (key, value) in matching_strategy.into_iter() {
let matching_strategy = self.matching_strategy.entry(key).or_insert(0); let matching_strategy = self.matching_strategy.entry(key).or_insert(0);
*matching_strategy = matching_strategy.saturating_add(value); *matching_strategy = matching_strategy.saturating_add(value);
} }
// scoring // scoring
self.show_ranking_score |= other.show_ranking_score; self.show_ranking_score |= show_ranking_score;
self.show_ranking_score_details |= other.show_ranking_score_details; self.show_ranking_score_details |= show_ranking_score_details;
} }
pub fn into_event(self, user: &User, event_name: &str) -> Option<Track> { pub fn into_event(self, user: &User, event_name: &str) -> Option<Track> {
let Self {
timestamp,
user_agents,
total_received,
total_succeeded,
time_spent,
sort_with_geo_point,
sort_sum_of_criteria_terms,
sort_total_number_of_criteria,
filter_with_geo_radius,
filter_with_geo_bounding_box,
filter_sum_of_criteria_terms,
filter_total_number_of_criteria,
used_syntax,
attributes_to_search_on_total_number_of_uses,
max_terms_number,
max_vector_size,
matching_strategy,
max_limit,
max_offset,
finite_pagination,
max_attributes_to_retrieve,
max_attributes_to_highlight,
highlight_pre_tag,
highlight_post_tag,
max_attributes_to_crop,
crop_marker,
show_matches_position,
crop_length,
facets_sum_of_terms,
facets_total_number_of_facets,
show_ranking_score,
show_ranking_score_details,
} = self;
if self.total_received == 0 { if self.total_received == 0 {
None None
} else { } else {
// we get all the values in a sorted manner // we get all the values in a sorted manner
let time_spent = self.time_spent.into_sorted_vec(); let time_spent = time_spent.into_sorted_vec();
// the index of the 99th percentage of value // the index of the 99th percentage of value
let percentile_99th = time_spent.len() * 99 / 100; let percentile_99th = time_spent.len() * 99 / 100;
// We are only interested by the slowest value of the 99th fastest results // We are only interested by the slowest value of the 99th fastest results
let time_spent = time_spent.get(percentile_99th); let time_spent = time_spent.get(percentile_99th);
let properties = json!({ let properties = json!({
"user-agent": self.user_agents, "user-agent": user_agents,
"requests": { "requests": {
"99th_response_time": time_spent.map(|t| format!("{:.2}", t)), "99th_response_time": time_spent.map(|t| format!("{:.2}", t)),
"total_succeeded": self.total_succeeded, "total_succeeded": total_succeeded,
"total_failed": self.total_received.saturating_sub(self.total_succeeded), // just to be sure we never panics "total_failed": total_received.saturating_sub(total_succeeded), // just to be sure we never panics
"total_received": self.total_received, "total_received": total_received,
}, },
"sort": { "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,