Index the geo points

milli/src/update/index_documents/extract/extract_geo_points.rs

@@ -0,0 +1,46 @@
+use std::fs::File;
+use std::io;
+
+use concat_arrays::concat_arrays;
+use log::warn;
+use serde_json::Value;
+
+use super::helpers::{create_writer, writer_into_reader, GrenadParameters};
+use crate::{FieldId, InternalError, Result};
+
+/// Extracts the geographical coordinates contained in each document under the `_geo` field.
+///
+/// Returns the generated grenad reader containing the docid as key associated to the (latitude, longitude)
+pub fn extract_geo_points<R: io::Read>(
+    mut obkv_documents: grenad::Reader<R>,
+    indexer: GrenadParameters,
+    geo_field_id: Option<FieldId>, // faire un grenad vide
+) -> Result<grenad::Reader<File>> {
+    let mut writer = tempfile::tempfile().and_then(|file| {
+        create_writer(indexer.chunk_compression_type, indexer.chunk_compression_level, file)
+    })?;
+
+    // we never encountered any documents with a `_geo` field. We can skip entirely this step
+    if geo_field_id.is_none() {
+        return Ok(writer_into_reader(writer)?);
+    }
+    let geo_field_id = geo_field_id.unwrap();
+
+    while let Some((docid_bytes, value)) = obkv_documents.next()? {
+        let obkv = obkv::KvReader::new(value);
+        let point = obkv.get(geo_field_id).unwrap(); // TODO: TAMO where should we handle this error?
+        let point: Value = serde_json::from_slice(point).map_err(InternalError::SerdeJson)?;
+
+        if let Some((lat, long)) = point["lat"].as_f64().zip(point["long"].as_f64()) {
+            // this will create an array of 16 bytes (two 8 bytes floats)
+            let bytes: [u8; 16] = concat_arrays![lat.to_le_bytes(), long.to_le_bytes()];
+            writer.insert(docid_bytes, bytes)?;
+        } else {
+            // TAMO: improve the warn
+            warn!("Malformed `_geo` field");
+            continue;
+        }
+    }
+
+    Ok(writer_into_reader(writer)?)
+}

milli/src/update/index_documents/extract/mod.rs

@@ -3,6 +3,7 @@ mod extract_facet_number_docids;
 mod extract_facet_string_docids;
 mod extract_fid_docid_facet_values;
 mod extract_fid_word_count_docids;
+mod extract_geo_points;
 mod extract_word_docids;
 mod extract_word_level_position_docids;
 mod extract_word_pair_proximity_docids;
@@ -19,6 +20,7 @@ use self::extract_facet_number_docids::extract_facet_number_docids;
 use self::extract_facet_string_docids::extract_facet_string_docids;
 use self::extract_fid_docid_facet_values::extract_fid_docid_facet_values;
 use self::extract_fid_word_count_docids::extract_fid_word_count_docids;
+use self::extract_geo_points::extract_geo_points;
 use self::extract_word_docids::extract_word_docids;
 use self::extract_word_level_position_docids::extract_word_level_position_docids;
 use self::extract_word_pair_proximity_docids::extract_word_pair_proximity_docids;
@@ -37,6 +39,7 @@ pub(crate) fn data_from_obkv_documents(
     lmdb_writer_sx: Sender<Result<TypedChunk>>,
     searchable_fields: Option<HashSet<FieldId>>,
     faceted_fields: HashSet<FieldId>,
+    geo_field_id: Option<FieldId>,
     stop_words: Option<fst::Set<&[u8]>>,
 ) -> Result<()> {
     let result: Result<(Vec<_>, (Vec<_>, Vec<_>))> = obkv_chunks
@@ -54,7 +57,7 @@ pub(crate) fn data_from_obkv_documents(
         .collect();
 
     let (
-        docid_word_positions_chunks,
+        (docid_word_positions_chunks),
         (docid_fid_facet_numbers_chunks, docid_fid_facet_strings_chunks),
     ) = result?;
 
@@ -118,6 +121,16 @@ pub(crate) fn data_from_obkv_documents(
         "field-id-facet-number-docids",
     );
 
+    spawn_extraction_task(
+        documents_chunk,
+        indexer.clone(),
+        lmdb_writer_sx.clone(),
+        move |documents, indexer| extract_geo_points(documents, indexer, geo_field_id),
+        merge_cbo_roaring_bitmaps,
+        TypedChunk::GeoPoints,
+        "geo-points",
+    );
+
     Ok(())
 }