mirror of
https://github.com/meilisearch/meilisearch.git
synced 2024-11-30 09:04:59 +08:00
Apply suggestions from code review
Co-authored-by: Clément Renault <clement@meilisearch.com>
This commit is contained in:
parent
c81ff22c5b
commit
a84f3a8b31
@ -695,7 +695,7 @@ async fn main() -> anyhow::Result<()> {
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struct QueryBody {
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query: Option<String>,
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filters: Option<String>,
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sorters: Option<String>,
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sort: Option<String>,
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facet_filters: Option<Vec<UntaggedEither<Vec<String>, String>>>,
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facet_distribution: Option<bool>,
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limit: Option<usize>,
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@ -755,7 +755,7 @@ async fn main() -> anyhow::Result<()> {
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search.limit(limit);
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}
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if let Some(sort) = query.sorters {
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if let Some(sort) = query.sort {
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search.sort_criteria(vec![sort.parse().unwrap()]);
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}
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@ -84,12 +84,16 @@ impl FromStr for Member {
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text.strip_prefix("_geoPoint(")
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.and_then(|point| point.strip_suffix(")"))
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.ok_or_else(|| UserError::InvalidRankingRuleName { name: text.to_string() })?;
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let point = point
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.split(',')
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.map(|el| el.trim().parse())
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.collect::<Result<Vec<f64>, _>>()
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.map_err(|_| UserError::InvalidRankingRuleName { name: text.to_string() })?;
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Ok(Member::Geo([point[0], point[1]]))
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let (lat, long) = point
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.split_once(',')
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.ok_or_else(|| UserError::InvalidRankingRuleName { name: text.to_string() })
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.and_then(|(lat, long)| {
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lat.trim()
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.parse()
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.and_then(|lat| long.trim().parse().map(|long| (lat, long)))
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.map_err(|_| UserError::InvalidRankingRuleName { name: text.to_string() })
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})?;
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Ok(Member::Geo([lat, long]))
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} else {
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Ok(Member::Field(text.to_string()))
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}
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@ -99,7 +103,7 @@ impl FromStr for Member {
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impl fmt::Display for Member {
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fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
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match self {
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Member::Field(name) => write!(f, "{}", name),
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Member::Field(name) => f.write_str(name),
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Member::Geo([lat, lng]) => write!(f, "_geoPoint({}, {})", lat, lng),
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}
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}
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@ -12,10 +12,8 @@ use crate::{DocumentId, FieldId};
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pub type Object = Map<String, Value>;
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const RESERVED_KEYWORD: &[&'static str] = &["_geo", "_geoDistance"];
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pub fn is_reserved_keyword(keyword: &str) -> bool {
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RESERVED_KEYWORD.contains(&keyword)
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["_geo", "_geoDistance"].contains(&keyword)
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}
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#[derive(Debug)]
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@ -299,6 +299,7 @@ impl Index {
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/* geo rtree */
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/// Writes the provided `rtree` which associates coordinates to documents ids.
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pub(crate) fn put_geo_rtree(
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&self,
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wtxn: &mut RwTxn,
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@ -307,10 +308,12 @@ impl Index {
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self.main.put::<_, Str, SerdeBincode<RTree<GeoPoint>>>(wtxn, main_key::GEO_RTREE_KEY, rtree)
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}
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/// Delete the `rtree` which associates coordinates to documents ids.
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pub(crate) fn delete_geo_rtree(&self, wtxn: &mut RwTxn) -> heed::Result<bool> {
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self.main.delete::<_, Str>(wtxn, main_key::GEO_RTREE_KEY)
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}
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/// Returns the `rtree` which associates coordinates to documents ids.
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pub fn geo_rtree<'t>(&self, rtxn: &'t RoTxn) -> Result<Option<RTree<GeoPoint>>> {
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match self
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.main
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@ -323,7 +326,7 @@ impl Index {
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/* geo faceted */
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/// Writes the documents ids that are faceted with a _geo field
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/// Writes the documents ids that are faceted with a _geo field.
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pub(crate) fn put_geo_faceted_documents_ids(
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&self,
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wtxn: &mut RwTxn,
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@ -336,16 +339,12 @@ impl Index {
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)
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}
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/// Delete the documents ids that are faceted with a _geo field
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pub(crate) fn delete_geo_faceted_documents_ids(&self, wtxn: &mut RwTxn) -> heed::Result<()> {
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self.main.put::<_, Str, RoaringBitmapCodec>(
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wtxn,
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main_key::GEO_FACETED_DOCUMENTS_IDS_KEY,
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&RoaringBitmap::new(),
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)
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/// Delete the documents ids that are faceted with a _geo field.
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pub(crate) fn delete_geo_faceted_documents_ids(&self, wtxn: &mut RwTxn) -> heed::Result<bool> {
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self.main.delete::<_, Str>(wtxn, main_key::GEO_FACETED_DOCUMENTS_IDS_KEY)
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}
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/// Retrieve all the documents ids that faceted with a _geo field
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/// Retrieve all the documents ids that faceted with a _geo field.
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pub fn geo_faceted_documents_ids(&self, rtxn: &RoTxn) -> heed::Result<RoaringBitmap> {
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match self
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.main
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@ -142,7 +142,7 @@ where
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Some((head, tail))
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}
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/// Return the distance between two points in meters
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/// Return the distance between two points in meters.
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fn distance_between_two_points(a: &[f64; 2], b: &[f64; 2]) -> f64 {
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let a = haversine::Location { latitude: a[0], longitude: a[1] };
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let b = haversine::Location { latitude: b[0], longitude: b[1] };
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@ -1,3 +1,5 @@
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use std::iter;
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use roaring::RoaringBitmap;
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use rstar::RTree;
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@ -23,7 +25,7 @@ impl<'t> Geo<'t> {
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parent: Box<dyn Criterion + 't>,
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point: [f64; 2],
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) -> Result<Self> {
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let candidates = Box::new(std::iter::empty());
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let candidates = Box::new(iter::empty());
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let allowed_candidates = index.geo_faceted_documents_ids(rtxn)?;
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let bucket_candidates = RoaringBitmap::new();
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let rtree = index.geo_rtree(rtxn)?;
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@ -41,7 +43,7 @@ impl<'t> Geo<'t> {
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}
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}
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impl<'t> Criterion for Geo<'t> {
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impl Criterion for Geo<'_> {
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fn next(&mut self, params: &mut CriterionParameters) -> Result<Option<CriterionResult>> {
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// if there is no rtree we have nothing to returns
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let rtree = match self.rtree.as_ref() {
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@ -108,7 +110,7 @@ fn geo_point(
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let results = rtree
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.nearest_neighbor_iter(&point)
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.filter_map(move |point| candidates.contains(point.data).then(|| point.data))
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.map(|id| std::iter::once(id).collect::<RoaringBitmap>())
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.map(|id| iter::once(id).collect::<RoaringBitmap>())
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.collect::<Vec<_>>();
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Box::new(results.into_iter())
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@ -311,7 +311,9 @@ impl<'t> CriteriaBuilder<'t> {
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point.clone(),
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)?),
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AscDescName::Desc(Member::Geo(_point)) => {
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return Err(UserError::InvalidSortName { name: "Sorting in descending order is currently not supported for the geosearch".to_string() })?
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return Err(UserError::InvalidSortName {
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name: "Sorting in descending order is currently not supported for the geosearch".to_string(),
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})?
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}
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};
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}
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@ -21,7 +21,9 @@ use crate::error::UserError;
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use crate::heed_codec::facet::{
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FacetLevelValueF64Codec, FacetStringLevelZeroCodec, FacetStringLevelZeroValueCodec,
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};
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use crate::{CboRoaringBitmapCodec, FieldId, FieldsIdsMap, Index, Result};
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use crate::{
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distance_between_two_points, CboRoaringBitmapCodec, FieldId, FieldsIdsMap, Index, Result,
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};
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#[derive(Debug, Clone, PartialEq)]
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pub enum Operator {
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@ -505,19 +507,18 @@ impl FilterCondition {
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LowerThanOrEqual(val) => (Included(f64::MIN), Included(*val)),
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Between(left, right) => (Included(*left), Included(*right)),
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GeoLowerThan(base_point, distance) => {
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let mut result = RoaringBitmap::new();
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let rtree = match index.geo_rtree(rtxn)? {
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Some(rtree) => rtree,
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None => return Ok(result),
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None => return Ok(RoaringBitmap::new()),
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};
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rtree
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let result = rtree
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.nearest_neighbor_iter(base_point)
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.take_while(|point| {
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dbg!(crate::distance_between_two_points(base_point, point.geom()))
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< *distance
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distance_between_two_points(base_point, point.geom()) < *distance
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})
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.for_each(|point| drop(result.insert(point.data)));
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.map(|point| point.data)
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.collect();
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return Ok(result);
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}
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@ -602,7 +603,8 @@ fn field_id(
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return Err(PestError::new_from_span(
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ErrorVariant::CustomError {
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message: format!(
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"`{}` is a reserved keyword and thus can't be used as a filter expression. Available filterable attributes are: {}",
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"`{}` is a reserved keyword and therefore can't be used as a filter expression. \
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Available filterable attributes are: {}",
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key.as_str(),
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filterable_fields.iter().join(", "),
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),
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@ -691,7 +693,7 @@ mod tests {
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assert!(result.is_err());
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let error = result.unwrap_err();
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assert!(error.to_string().contains(
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"`_geo` is a reserved keyword and thus can't be used as a filter expression."
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"`_geo` is a reserved keyword and therefore can't be used as a filter expression."
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));
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}
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@ -383,15 +383,16 @@ impl<'t, 'u, 'i> DeleteDocuments<'t, 'u, 'i> {
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if let Some(mut rtree) = self.index.geo_rtree(self.wtxn)? {
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let mut geo_faceted_doc_ids = self.index.geo_faceted_documents_ids(self.wtxn)?;
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let points_to_remove: Vec<_> = rtree
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let (points_to_remove, docids_to_remove): (Vec<_>, RoaringBitmap) = rtree
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.iter()
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.filter(|&point| self.documents_ids.contains(point.data))
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.cloned()
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.collect();
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.map(|point| (point, point.data))
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.unzip();
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points_to_remove.iter().for_each(|point| {
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rtree.remove(&point);
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geo_faceted_doc_ids.remove(point.data);
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});
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geo_faceted_doc_ids -= docids_to_remove;
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self.index.put_geo_rtree(self.wtxn, &rtree)?;
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self.index.put_geo_faceted_documents_ids(self.wtxn, &geo_faceted_doc_ids)?;
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@ -22,11 +22,10 @@ pub fn extract_geo_points<R: io::Read>(
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while let Some((docid_bytes, value)) = obkv_documents.next()? {
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let obkv = obkv::KvReader::new(value);
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let point = match obkv.get(geo_field_id) {
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Some(point) => point,
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let point: Value = match obkv.get(geo_field_id) {
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Some(point) => serde_json::from_slice(point).map_err(InternalError::SerdeJson)?,
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None => continue,
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};
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let point: Value = serde_json::from_slice(point).map_err(InternalError::SerdeJson)?;
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if let Some((lat, lng)) = point["lat"].as_f64().zip(point["lng"].as_f64()) {
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// this will create an array of 16 bytes (two 8 bytes floats)
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@ -189,12 +189,9 @@ fn extract_documents_data(
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let documents_chunk_cloned = documents_chunk.clone();
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let lmdb_writer_sx_cloned = lmdb_writer_sx.clone();
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rayon::spawn(move || {
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let _ = match extract_geo_points(
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documents_chunk_cloned,
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indexer,
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primary_key_id,
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geo_field_id,
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) {
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let result =
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extract_geo_points(documents_chunk_cloned, indexer, primary_key_id, geo_field_id);
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let _ = match result {
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Ok(geo_points) => lmdb_writer_sx_cloned.send(Ok(TypedChunk::GeoPoints(geo_points))),
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Err(error) => lmdb_writer_sx_cloned.send(Err(error)),
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};
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@ -237,12 +237,17 @@ impl<'t, 'u, 'i, 'a> IndexDocuments<'t, 'u, 'i, 'a> {
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// get filterable fields for facet databases
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let faceted_fields = self.index.faceted_fields_ids(self.wtxn)?;
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// get the fid of the `_geo` field.
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let geo_field_id = if let Some(gfid) = self.index.fields_ids_map(self.wtxn)?.id("_geo") {
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(self.index.sortable_fields_ids(self.wtxn)?.contains(&gfid)
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|| self.index.filterable_fields_ids(self.wtxn)?.contains(&gfid))
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.then(|| gfid)
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let geo_field_id = match self.index.fields_ids_map(self.wtxn)?.id("_geo") {
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Some(gfid) => {
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let is_sortable = self.index.sortable_fields_ids(self.wtxn)?.contains(&gfid);
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let is_filterable = self.index.filterable_fields_ids(self.wtxn)?.contains(&gfid);
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if is_sortable || is_filterable {
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Some(gfid)
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} else {
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None
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}
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}
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None => None,
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};
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let stop_words = self.index.stop_words(self.wtxn)?;
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@ -1,4 +1,5 @@
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use std::borrow::Cow;
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use std::convert::TryInto;
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use std::fs::File;
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use heed::types::ByteSlice;
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@ -11,7 +12,7 @@ use super::helpers::{
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};
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use crate::heed_codec::facet::{decode_prefix_string, encode_prefix_string};
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use crate::update::index_documents::helpers::into_clonable_grenad;
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use crate::{BoRoaringBitmapCodec, CboRoaringBitmapCodec, GeoPoint, Index, Result};
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use crate::{BoRoaringBitmapCodec, CboRoaringBitmapCodec, DocumentId, GeoPoint, Index, Result};
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pub(crate) enum TypedChunk {
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DocidWordPositions(grenad::Reader<CursorClonableMmap>),
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@ -180,24 +181,22 @@ pub(crate) fn write_typed_chunk_into_index(
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is_merged_database = true;
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}
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TypedChunk::GeoPoints(mut geo_points) => {
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// TODO: we should create the rtree with the `RTree::bulk_load` function
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let mut rtree = index.geo_rtree(wtxn)?.unwrap_or_default();
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let mut doc_ids = index.geo_faceted_documents_ids(wtxn)?;
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let mut geo_faceted_docids = index.geo_faceted_documents_ids(wtxn)?;
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while let Some((key, value)) = geo_points.next()? {
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// convert the key back to a u32 (4 bytes)
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let (key, _) = helpers::try_split_array_at::<u8, 4>(key).unwrap();
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let key = u32::from_be_bytes(key);
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let docid = key.try_into().map(DocumentId::from_be_bytes).unwrap();
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// convert the latitude and longitude back to a f64 (8 bytes)
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let (lat, tail) = helpers::try_split_array_at::<u8, 8>(value).unwrap();
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let (lng, _) = helpers::try_split_array_at::<u8, 8>(tail).unwrap();
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let point = [f64::from_ne_bytes(lat), f64::from_ne_bytes(lng)];
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rtree.insert(GeoPoint::new(point, key));
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doc_ids.insert(key);
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rtree.insert(GeoPoint::new(point, docid));
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geo_faceted_docids.insert(docid);
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}
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index.put_geo_rtree(wtxn, &rtree)?;
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index.put_geo_faceted_documents_ids(wtxn, &doc_ids)?;
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index.put_geo_faceted_documents_ids(wtxn, &geo_faceted_docids)?;
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}
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}
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