mirror of
https://github.com/meilisearch/meilisearch.git
synced 2024-11-27 04:25:06 +08:00
Add FacetsUpdate type that wraps incremental and bulk indexing methods
This commit is contained in:
Loïc Lecrenier
Loïc Lecrenier
parent
3d145d7f48
commit
9b55e582cd
@ -1,10 +1,11 @@
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use std::borrow::Cow;
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use std::cmp;
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use std::fs::File;
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use std::num::NonZeroUsize;
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use grenad::CompressionType;
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use heed::types::ByteSlice;
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use heed::{BytesEncode, Error, RoTxn};
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use heed::types::{ByteSlice, DecodeIgnore};
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use heed::{BytesDecode, BytesEncode, Error, RoTxn, RwTxn};
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use log::debug;
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use roaring::RoaringBitmap;
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use time::OffsetDateTime;
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@ -14,21 +15,27 @@ use crate::facet::FacetType;
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use crate::heed_codec::facet::new::{
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FacetGroupValue, FacetGroupValueCodec, FacetKey, FacetKeyCodec, MyByteSlice,
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};
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use crate::update::index_documents::{create_writer, write_into_lmdb_database, writer_into_reader};
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use crate::{FieldId, Index, Result};
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use crate::update::index_documents::{
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create_writer, valid_lmdb_key, write_into_lmdb_database, writer_into_reader,
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};
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use crate::{CboRoaringBitmapCodec, FieldId, Index, Result};
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pub struct FacetsUpdateBulk<'i> {
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index: &'i Index,
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database: heed::Database<FacetKeyCodec<MyByteSlice>, FacetGroupValueCodec>,
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pub(crate) chunk_compression_type: CompressionType,
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pub(crate) chunk_compression_level: Option<u32>,
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level_group_size: usize,
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min_level_size: usize,
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facet_type: FacetType,
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// None if level 0 does not need to be updated
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new_data: Option<grenad::Reader<File>>,
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}
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impl<'i> FacetsUpdateBulk<'i> {
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pub fn new(index: &'i Index, facet_type: FacetType) -> FacetsUpdateBulk<'i> {
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pub fn new(
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index: &'i Index,
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facet_type: FacetType,
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new_data: grenad::Reader<File>,
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) -> FacetsUpdateBulk<'i> {
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FacetsUpdateBulk {
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index,
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database: match facet_type {
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@ -39,11 +46,31 @@ impl<'i> FacetsUpdateBulk<'i> {
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index.facet_id_f64_docids.remap_key_type::<FacetKeyCodec<MyByteSlice>>()
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}
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},
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chunk_compression_type: CompressionType::None,
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chunk_compression_level: None,
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level_group_size: 4,
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min_level_size: 5,
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facet_type,
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new_data: Some(new_data),
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}
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}
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pub fn new_not_updating_level_0(
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index: &'i Index,
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facet_type: FacetType,
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) -> FacetsUpdateBulk<'i> {
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FacetsUpdateBulk {
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index,
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database: match facet_type {
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FacetType::String => {
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index.facet_id_string_docids.remap_key_type::<FacetKeyCodec<MyByteSlice>>()
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}
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FacetType::Number => {
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index.facet_id_f64_docids.remap_key_type::<FacetKeyCodec<MyByteSlice>>()
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}
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},
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level_group_size: 4,
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min_level_size: 5,
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facet_type,
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new_data: None,
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}
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}
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@ -70,40 +97,85 @@ impl<'i> FacetsUpdateBulk<'i> {
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}
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#[logging_timer::time("FacetsUpdateBulk::{}")]
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pub fn execute(self, wtxn: &mut heed::RwTxn) -> Result<()> {
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pub fn execute(mut self, wtxn: &mut heed::RwTxn) -> Result<()> {
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self.index.set_updated_at(wtxn, &OffsetDateTime::now_utc())?;
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debug!("Computing and writing the facet values levels docids into LMDB on disk...");
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// We get the faceted fields to be able to create the facet levels.
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let faceted_fields = self.index.faceted_fields_ids(wtxn)?.clone();
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debug!("Computing and writing the facet values levels docids into LMDB on disk...");
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for &field_id in faceted_fields.iter() {
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self.clear_levels(wtxn, field_id)?;
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}
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self.update_level0(wtxn)?;
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let mut nested_wtxn = self.index.env.nested_write_txn(wtxn)?;
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// let mut nested_wtxn = self.index.env.nested_write_txn(wtxn)?;
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for &field_id in faceted_fields.iter() {
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let (level_readers, all_docids) =
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self.compute_levels_for_field_id(field_id, &nested_wtxn)?;
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let (level_readers, all_docids) = self.compute_levels_for_field_id(field_id, &wtxn)?;
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let put_docids_fn = match self.facet_type {
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FacetType::Number => Index::put_number_faceted_documents_ids,
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FacetType::String => Index::put_string_faceted_documents_ids,
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};
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put_docids_fn(&self.index, &mut nested_wtxn, field_id, &all_docids)?;
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self.index.put_faceted_documents_ids(wtxn, field_id, self.facet_type, &all_docids)?;
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for level_reader in level_readers {
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// TODO: append instead of write with merge
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write_into_lmdb_database(
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&mut nested_wtxn,
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*self.database.as_polymorph(),
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level_reader,
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|_, _| {
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Err(InternalError::IndexingMergingKeys { process: "facet string levels" })?
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},
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let mut cursor = level_reader.into_cursor()?;
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while let Some((k, v)) = cursor.move_on_next()? {
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let key = FacetKeyCodec::<DecodeIgnore>::bytes_decode(k).unwrap();
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let value = FacetGroupValueCodec::bytes_decode(v).unwrap();
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println!("inserting {key:?} {value:?}");
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self.database.remap_types::<ByteSlice, ByteSlice>().put(wtxn, k, v)?;
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}
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}
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}
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Ok(())
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}
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fn update_level0(&mut self, wtxn: &mut RwTxn) -> Result<()> {
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let new_data = match self.new_data.take() {
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Some(x) => x,
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None => return Ok(()),
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};
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if self.database.is_empty(wtxn)? {
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let mut buffer = Vec::new();
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let mut database = self.database.iter_mut(wtxn)?.remap_types::<ByteSlice, ByteSlice>();
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let mut cursor = new_data.into_cursor()?;
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while let Some((key, value)) = cursor.move_on_next()? {
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if valid_lmdb_key(key) {
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buffer.clear();
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// the group size for level 0
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buffer.push(1);
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// then we extend the buffer with the docids bitmap
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buffer.extend_from_slice(value);
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unsafe { database.append(key, &buffer)? };
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}
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}
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} else {
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let mut buffer = Vec::new();
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let database = self.database.remap_types::<ByteSlice, ByteSlice>();
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let mut cursor = new_data.into_cursor()?;
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while let Some((key, value)) = cursor.move_on_next()? {
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if valid_lmdb_key(key) {
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buffer.clear();
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// the group size for level 0
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buffer.push(1);
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// then we extend the buffer with the docids bitmap
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match database.get(wtxn, key)? {
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Some(prev_value) => {
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let old_bitmap = &prev_value[1..];
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CboRoaringBitmapCodec::merge_into(
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&[Cow::Borrowed(value), Cow::Borrowed(old_bitmap)],
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&mut buffer,
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)?;
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}
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None => {
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buffer.extend_from_slice(value);
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}
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};
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database.put(wtxn, key, &buffer)?;
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}
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}
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}
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Ok(())
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@ -114,16 +186,14 @@ impl<'i> FacetsUpdateBulk<'i> {
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field_id: FieldId,
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txn: &RoTxn,
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) -> Result<(Vec<grenad::Reader<File>>, RoaringBitmap)> {
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let algo = FacetsUpdateBulkAlgorithm {
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// TODO: first check whether there is anything in level 0
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let algo = ComputeHigherLevels {
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rtxn: txn,
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db: &self.database,
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field_id,
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level_group_size: self.level_group_size,
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min_level_size: self.min_level_size,
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chunk_compression_type: self.chunk_compression_type,
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chunk_compression_level: self.chunk_compression_level,
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};
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// TODO: first check whether there is anything in level 0
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let mut all_docids = RoaringBitmap::new();
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let subwriters = algo.compute_higher_levels(32, &mut |bitmaps, _| {
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@ -138,16 +208,14 @@ impl<'i> FacetsUpdateBulk<'i> {
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}
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}
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pub struct FacetsUpdateBulkAlgorithm<'t> {
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struct ComputeHigherLevels<'t> {
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rtxn: &'t heed::RoTxn<'t>,
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db: &'t heed::Database<FacetKeyCodec<MyByteSlice>, FacetGroupValueCodec>,
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chunk_compression_type: CompressionType,
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chunk_compression_level: Option<u32>,
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field_id: u16,
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level_group_size: usize,
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min_level_size: usize,
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}
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impl<'t> FacetsUpdateBulkAlgorithm<'t> {
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impl<'t> ComputeHigherLevels<'t> {
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fn read_level_0(
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&self,
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handle_group: &mut dyn FnMut(&[RoaringBitmap], &'t [u8]) -> Result<()>,
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@ -215,11 +283,7 @@ impl<'t> FacetsUpdateBulkAlgorithm<'t> {
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// once we have computed `level_group_size` elements, we give the left bound
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// of those elements, and their bitmaps, to the level above
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let mut cur_writer = create_writer(
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self.chunk_compression_type,
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self.chunk_compression_level,
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tempfile::tempfile()?,
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);
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let mut cur_writer = create_writer(CompressionType::None, None, tempfile::tempfile()?);
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let mut cur_writer_len = 0;
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let mut group_sizes = vec![];
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@ -259,7 +323,7 @@ impl<'t> FacetsUpdateBulkAlgorithm<'t> {
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Ok(())
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})?;
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// don't forget to insert the leftover elements into the writer as well
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if !bitmaps.is_empty() && cur_writer_len >= self.level_group_size * self.min_level_size {
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if !bitmaps.is_empty() && cur_writer_len >= self.min_level_size {
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let left_bound = left_bounds.first().unwrap();
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handle_group(&bitmaps, left_bound)?;
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for ((bitmap, left_bound), group_size) in
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@ -274,7 +338,7 @@ impl<'t> FacetsUpdateBulkAlgorithm<'t> {
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cur_writer_len += 1;
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}
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}
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if cur_writer_len > self.level_group_size * self.min_level_size {
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if cur_writer_len > self.min_level_size {
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sub_writers.push(writer_into_reader(cur_writer)?);
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}
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return Ok(sub_writers);
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@ -315,9 +379,9 @@ mod tests {
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documents.push(serde_json::json!({ "facet2": i }).as_object().unwrap().clone());
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}
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let documents = documents_batch_reader_from_objects(documents);
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dbg!();
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index.add_documents(documents).unwrap();
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dbg!();
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db_snap!(index, facet_id_f64_docids, name);
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};
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@ -1,2 +1,90 @@
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use std::{collections::HashMap, fs::File};
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use grenad::CompressionType;
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use heed::BytesDecode;
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use roaring::RoaringBitmap;
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use crate::{
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facet::FacetType,
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heed_codec::facet::new::{FacetGroupValueCodec, FacetKeyCodec, MyByteSlice},
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CboRoaringBitmapCodec, FieldId, Index, Result,
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};
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use super::{FacetsUpdateBulk, FacetsUpdateIncremental};
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pub mod bulk;
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pub mod incremental;
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pub struct FacetsUpdate<'i> {
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index: &'i Index,
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database: heed::Database<FacetKeyCodec<MyByteSlice>, FacetGroupValueCodec>,
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level_group_size: u8,
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max_level_group_size: u8,
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min_level_size: u8,
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facet_type: FacetType,
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new_data: grenad::Reader<File>,
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}
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impl<'i> FacetsUpdate<'i> {
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pub fn new(index: &'i Index, facet_type: FacetType, new_data: grenad::Reader<File>) -> Self {
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let database = match facet_type {
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FacetType::String => {
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index.facet_id_string_docids.remap_key_type::<FacetKeyCodec<MyByteSlice>>()
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}
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FacetType::Number => {
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index.facet_id_f64_docids.remap_key_type::<FacetKeyCodec<MyByteSlice>>()
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}
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};
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Self {
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index,
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database,
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level_group_size: 4,
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max_level_group_size: 8,
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min_level_size: 5,
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facet_type,
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new_data,
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}
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}
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// /// The number of elements from the level below that are represented by a single element in the level above
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// ///
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// /// This setting is always greater than or equal to 2.
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// pub fn level_group_size(&mut self, value: u8) -> &mut Self {
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// self.level_group_size = std::cmp::max(value, 2);
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// self
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// }
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// /// The minimum number of elements that a level is allowed to have.
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// pub fn min_level_size(&mut self, value: u8) -> &mut Self {
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// self.min_level_size = std::cmp::max(value, 1);
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// self
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// }
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pub fn execute(self, wtxn: &mut heed::RwTxn) -> Result<()> {
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if self.database.is_empty(wtxn)? {
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let bulk_update = FacetsUpdateBulk::new(self.index, self.facet_type, self.new_data);
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bulk_update.execute(wtxn)?;
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} else {
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let indexer = FacetsUpdateIncremental::new(self.database);
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let mut new_faceted_docids = HashMap::<FieldId, RoaringBitmap>::default();
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let mut cursor = self.new_data.into_cursor()?;
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while let Some((key, value)) = cursor.move_on_next()? {
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let key =
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FacetKeyCodec::<MyByteSlice>::bytes_decode(key).ok_or(heed::Error::Encoding)?;
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let docids =
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CboRoaringBitmapCodec::bytes_decode(value).ok_or(heed::Error::Encoding)?;
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indexer.insert(wtxn, key.field_id, key.left_bound, &docids)?;
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*new_faceted_docids.entry(key.field_id).or_default() |= docids;
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}
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for (field_id, new_docids) in new_faceted_docids {
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let mut docids =
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self.index.faceted_documents_ids(wtxn, field_id, self.facet_type)?;
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docids |= new_docids;
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self.index.put_faceted_documents_ids(wtxn, field_id, self.facet_type, &docids)?;
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}
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}
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Ok(())
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}
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}
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@ -1,4 +1,4 @@
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---
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source: milli/src/update/facet/bulk.rs
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---
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947949d1a5c9c4e895c89fba46cbba68
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07718df52f8463335fb8fefcd3ae01f4
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@ -1,4 +1,4 @@
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---
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source: milli/src/update/facet/bulk.rs
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---
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947949d1a5c9c4e895c89fba46cbba68
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07718df52f8463335fb8fefcd3ae01f4
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@ -1,4 +1,4 @@
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---
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source: milli/src/update/facet/bulk.rs
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---
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947949d1a5c9c4e895c89fba46cbba68
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07718df52f8463335fb8fefcd3ae01f4
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@ -1,4 +1,4 @@
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---
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source: milli/src/update/facet/bulk.rs
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---
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947949d1a5c9c4e895c89fba46cbba68
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07718df52f8463335fb8fefcd3ae01f4
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@ -1,4 +1,4 @@
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---
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source: milli/src/update/facet/bulk.rs
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---
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947949d1a5c9c4e895c89fba46cbba68
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07718df52f8463335fb8fefcd3ae01f4
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@ -1,4 +1,4 @@
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---
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source: milli/src/update/facet/bulk.rs
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---
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947949d1a5c9c4e895c89fba46cbba68
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07718df52f8463335fb8fefcd3ae01f4
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@ -1,4 +1,4 @@
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---
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source: milli/src/update/facet/bulk.rs
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---
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5ce8009d3eb023e4b9c0a6e7fa4e6262
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3e6a91b3c54c614a4787224ac4278ed3
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@ -1,4 +1,4 @@
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---
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source: milli/src/update/facet/bulk.rs
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---
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5ce8009d3eb023e4b9c0a6e7fa4e6262
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3e6a91b3c54c614a4787224ac4278ed3
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@ -1,5 +1,4 @@
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use std::borrow::Cow;
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use std::collections::HashMap;
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use std::convert::TryInto;
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use std::fs::File;
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use std::io;
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@ -14,12 +13,12 @@ use super::helpers::{
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valid_lmdb_key, CursorClonableMmap,
|
||||
};
|
||||
use super::{ClonableMmap, MergeFn};
|
||||
use crate::heed_codec::facet::new::{FacetKeyCodec, MyByteSlice};
|
||||
use crate::facet::FacetType;
|
||||
use crate::update::facet::FacetsUpdate;
|
||||
use crate::update::index_documents::helpers::as_cloneable_grenad;
|
||||
use crate::update::FacetsUpdateIncremental;
|
||||
use crate::{
|
||||
lat_lng_to_xyz, BoRoaringBitmapCodec, CboRoaringBitmapCodec, DocumentId, FieldId, GeoPoint,
|
||||
Index, Result,
|
||||
lat_lng_to_xyz, BoRoaringBitmapCodec, CboRoaringBitmapCodec, DocumentId, GeoPoint, Index,
|
||||
Result,
|
||||
};
|
||||
|
||||
pub(crate) enum TypedChunk {
|
||||
@ -138,78 +137,14 @@ pub(crate) fn write_typed_chunk_into_index(
|
||||
)?;
|
||||
is_merged_database = true;
|
||||
}
|
||||
TypedChunk::FieldIdFacetNumberDocids(facet_id_f64_docids_iter) => {
|
||||
// merge cbo roaring bitmaps is not the correct merger because the data in the DB
|
||||
// is FacetGroupValue and not RoaringBitmap
|
||||
// so I need to create my own merging function
|
||||
|
||||
// facet_id_string_docids is encoded as:
|
||||
// key: FacetKeyCodec<StrRefCodec>
|
||||
// value: CboRoaringBitmapCodec
|
||||
// basically
|
||||
|
||||
// TODO: a condition saying "if I have more than 1/50th of the DB to add,
|
||||
// then I do it in bulk, otherwise I do it incrementally". But instead of 1/50,
|
||||
// it is a ratio I determine empirically
|
||||
|
||||
// for now I only do it incrementally, to see if things work
|
||||
let indexer = FacetsUpdateIncremental::new(
|
||||
index.facet_id_f64_docids.remap_key_type::<FacetKeyCodec<MyByteSlice>>(),
|
||||
);
|
||||
|
||||
let mut new_faceted_docids = HashMap::<FieldId, RoaringBitmap>::default();
|
||||
|
||||
let mut cursor = facet_id_f64_docids_iter.into_cursor()?;
|
||||
while let Some((key, value)) = cursor.move_on_next()? {
|
||||
let key =
|
||||
FacetKeyCodec::<MyByteSlice>::bytes_decode(key).ok_or(heed::Error::Encoding)?;
|
||||
let docids =
|
||||
CboRoaringBitmapCodec::bytes_decode(value).ok_or(heed::Error::Encoding)?;
|
||||
indexer.insert(wtxn, key.field_id, key.left_bound, &docids)?;
|
||||
*new_faceted_docids.entry(key.field_id).or_default() |= docids;
|
||||
}
|
||||
for (field_id, new_docids) in new_faceted_docids {
|
||||
let mut docids = index.number_faceted_documents_ids(wtxn, field_id)?;
|
||||
docids |= new_docids;
|
||||
index.put_number_faceted_documents_ids(wtxn, field_id, &docids)?;
|
||||
}
|
||||
|
||||
TypedChunk::FieldIdFacetNumberDocids(facet_id_number_docids_iter) => {
|
||||
let indexer = FacetsUpdate::new(index, FacetType::Number, facet_id_number_docids_iter);
|
||||
indexer.execute(wtxn)?;
|
||||
is_merged_database = true;
|
||||
}
|
||||
TypedChunk::FieldIdFacetStringDocids(facet_id_string_docids) => {
|
||||
// merge cbo roaring bitmaps is not the correct merger because the data in the DB
|
||||
// is FacetGroupValue and not RoaringBitmap
|
||||
// so I need to create my own merging function
|
||||
|
||||
// facet_id_string_docids is encoded as:
|
||||
// key: FacetKeyCodec<StrRefCodec>
|
||||
// value: CboRoaringBitmapCodec
|
||||
// basically
|
||||
|
||||
// TODO: a condition saying "if I have more than 1/50th of the DB to add,
|
||||
// then I do it in bulk, otherwise I do it incrementally". But instead of 1/50,
|
||||
// it is a ratio I determine empirically
|
||||
|
||||
// for now I only do it incrementally, to see if things work
|
||||
let indexer = FacetsUpdateIncremental::new(
|
||||
index.facet_id_string_docids.remap_key_type::<FacetKeyCodec<MyByteSlice>>(),
|
||||
);
|
||||
let mut new_faceted_docids = HashMap::<FieldId, RoaringBitmap>::default();
|
||||
|
||||
let mut cursor = facet_id_string_docids.into_cursor()?;
|
||||
while let Some((key, value)) = cursor.move_on_next()? {
|
||||
let key =
|
||||
FacetKeyCodec::<MyByteSlice>::bytes_decode(key).ok_or(heed::Error::Encoding)?;
|
||||
let docids =
|
||||
CboRoaringBitmapCodec::bytes_decode(value).ok_or(heed::Error::Encoding)?;
|
||||
indexer.insert(wtxn, key.field_id, key.left_bound, &docids)?;
|
||||
*new_faceted_docids.entry(key.field_id).or_default() |= docids;
|
||||
}
|
||||
for (field_id, new_docids) in new_faceted_docids {
|
||||
let mut docids = index.string_faceted_documents_ids(wtxn, field_id)?;
|
||||
docids |= new_docids;
|
||||
index.put_string_faceted_documents_ids(wtxn, field_id, &docids)?;
|
||||
}
|
||||
TypedChunk::FieldIdFacetStringDocids(facet_id_string_docids_iter) => {
|
||||
let indexer = FacetsUpdate::new(index, FacetType::String, facet_id_string_docids_iter);
|
||||
indexer.execute(wtxn)?;
|
||||
is_merged_database = true;
|
||||
}
|
||||
TypedChunk::FieldIdFacetExistsDocids(facet_id_exists_docids) => {
|
||||
|
||||
Loading…
Reference in New Issue
Block a user