Index the geo points

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Irevoire 2021-08-23 18:41:48 +02:00 committed by Tamo
parent 8d9c2c4425
commit 44d6b6ae9e
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GPG Key ID: 20CD8020AFA88D69
5 changed files with 84 additions and 4 deletions

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@ -298,7 +298,7 @@ impl Index {
/* geo rtree */
pub(crate) fn put_geo_rtree<A: AsRef<[u8]>>(
pub(crate) fn put_geo_rtree(
&self,
wtxn: &mut RwTxn,
rtree: &RTree<GeoPoint>,

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@ -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)?)
}

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@ -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(())
}

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@ -233,6 +233,8 @@ impl<'t, 'u, 'i, 'a> IndexDocuments<'t, 'u, 'i, 'a> {
self.index.searchable_fields_ids(self.wtxn)?.map(HashSet::from_iter);
// get filterable fields for facet databases
let faceted_fields = self.index.faceted_fields_ids(self.wtxn)?;
// get the fid of the `_geo` field.
let geo_field_id = self.index.fields_ids_map(self.wtxn)?.id("_geo");
let stop_words = self.index.stop_words(self.wtxn)?;
// let stop_words = stop_words.as_ref();
@ -261,6 +263,7 @@ impl<'t, 'u, 'i, 'a> IndexDocuments<'t, 'u, 'i, 'a> {
lmdb_writer_sx.clone(),
searchable_fields,
faceted_fields,
geo_field_id,
stop_words,
)
});

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@ -6,11 +6,12 @@ use heed::{BytesDecode, RwTxn};
use roaring::RoaringBitmap;
use super::helpers::{
roaring_bitmap_from_u32s_array, serialize_roaring_bitmap, valid_lmdb_key, CursorClonableMmap,
self, roaring_bitmap_from_u32s_array, serialize_roaring_bitmap, valid_lmdb_key,
CursorClonableMmap,
};
use crate::heed_codec::facet::{decode_prefix_string, encode_prefix_string};
use crate::update::index_documents::helpers::into_clonable_grenad;
use crate::{BoRoaringBitmapCodec, CboRoaringBitmapCodec, Index, Result};
use crate::{BoRoaringBitmapCodec, CboRoaringBitmapCodec, GeoPoint, Index, Result};
pub(crate) enum TypedChunk {
DocidWordPositions(grenad::Reader<CursorClonableMmap>),
@ -24,6 +25,7 @@ pub(crate) enum TypedChunk {
WordPairProximityDocids(grenad::Reader<File>),
FieldIdFacetStringDocids(grenad::Reader<File>),
FieldIdFacetNumberDocids(grenad::Reader<File>),
GeoPoints(grenad::Reader<File>),
}
/// Write typed chunk in the corresponding LMDB database of the provided index.
@ -177,6 +179,22 @@ pub(crate) fn write_typed_chunk_into_index(
)?;
is_merged_database = true;
}
TypedChunk::GeoPoints(mut geo_points) => {
// TODO: TAMO: we should create the rtree with the `RTree::bulk_load` function
let mut rtree = index.geo_rtree(&index.read_txn()?)?.unwrap_or_default();
while let Some((key, value)) = geo_points.next()? {
// convert the key back to a u32 (4 bytes)
let (key, _) = helpers::try_split_array_at::<u8, 4>(key).unwrap();
let key = u32::from_le_bytes(key);
// convert the latitude and longitude back to a f64 (8 bytes)
let (lat, tail) = helpers::try_split_array_at::<u8, 8>(value).unwrap();
let (long, _) = helpers::try_split_array_at::<u8, 8>(tail).unwrap();
let point = [f64::from_le_bytes(lat), f64::from_le_bytes(long)];
rtree.insert(GeoPoint::new(point, key));
}
index.put_geo_rtree(wtxn, &rtree)?;
}
}
Ok((RoaringBitmap::new(), is_merged_database))