mirror of
https://github.com/meilisearch/meilisearch.git
synced 2024-11-24 02:55:06 +08:00
675 lines
29 KiB
Rust
675 lines
29 KiB
Rust
use std::borrow::Cow;
|
|
use std::collections::hash_map::Entry;
|
|
use std::collections::{HashMap, HashSet};
|
|
use std::fs::File;
|
|
use std::io::{Read, Seek, SeekFrom};
|
|
|
|
use fxhash::FxHashMap;
|
|
use heed::RoTxn;
|
|
use itertools::Itertools;
|
|
use obkv::{KvReader, KvWriter};
|
|
use roaring::RoaringBitmap;
|
|
use serde_json::Value;
|
|
use smartstring::SmartString;
|
|
|
|
use super::helpers::{create_sorter, create_writer, keep_latest_obkv, merge_obkvs, MergeFn};
|
|
use super::{IndexDocumentsMethod, IndexerConfig};
|
|
use crate::documents::{DocumentsBatchIndex, EnrichedDocument, EnrichedDocumentsBatchReader};
|
|
use crate::error::{Error, InternalError, UserError};
|
|
use crate::index::db_name;
|
|
use crate::update::{AvailableDocumentsIds, UpdateIndexingStep};
|
|
use crate::{
|
|
ExternalDocumentsIds, FieldDistribution, FieldId, FieldIdMapMissingEntry, FieldsIdsMap, Index,
|
|
Result, BEU32,
|
|
};
|
|
|
|
pub struct TransformOutput {
|
|
pub primary_key: String,
|
|
pub fields_ids_map: FieldsIdsMap,
|
|
pub field_distribution: FieldDistribution,
|
|
pub external_documents_ids: ExternalDocumentsIds<'static>,
|
|
pub new_documents_ids: RoaringBitmap,
|
|
pub replaced_documents_ids: RoaringBitmap,
|
|
pub documents_count: usize,
|
|
pub original_documents: File,
|
|
pub flattened_documents: File,
|
|
}
|
|
|
|
/// Extract the external ids, deduplicate and compute the new internal documents ids
|
|
/// and fields ids, writing all the documents under their internal ids into a final file.
|
|
///
|
|
/// Outputs the new `FieldsIdsMap`, the new `UsersIdsDocumentsIds` map, the new documents ids,
|
|
/// the replaced documents ids, the number of documents in this update and the file
|
|
/// containing all those documents.
|
|
pub struct Transform<'a, 'i> {
|
|
pub index: &'i Index,
|
|
fields_ids_map: FieldsIdsMap,
|
|
|
|
indexer_settings: &'a IndexerConfig,
|
|
pub autogenerate_docids: bool,
|
|
pub index_documents_method: IndexDocumentsMethod,
|
|
available_documents_ids: AvailableDocumentsIds,
|
|
|
|
original_sorter: grenad::Sorter<MergeFn>,
|
|
flattened_sorter: grenad::Sorter<MergeFn>,
|
|
replaced_documents_ids: RoaringBitmap,
|
|
new_documents_ids: RoaringBitmap,
|
|
// To increase the cache locality and decrease the heap usage we use compact smartstring.
|
|
new_external_documents_ids_builder: FxHashMap<SmartString<smartstring::Compact>, u64>,
|
|
documents_count: usize,
|
|
}
|
|
|
|
/// Create a mapping between the field ids found in the document batch and the one that were
|
|
/// already present in the index.
|
|
///
|
|
/// If new fields are present in the addition, they are added to the index field ids map.
|
|
fn create_fields_mapping(
|
|
index_field_map: &mut FieldsIdsMap,
|
|
batch_field_map: &DocumentsBatchIndex,
|
|
) -> Result<HashMap<FieldId, FieldId>> {
|
|
batch_field_map
|
|
.iter()
|
|
// we sort by id here to ensure a deterministic mapping of the fields, that preserves
|
|
// the original ordering.
|
|
.sorted_by_key(|(&id, _)| id)
|
|
.map(|(field, name)| match index_field_map.id(&name) {
|
|
Some(id) => Ok((*field, id)),
|
|
None => index_field_map
|
|
.insert(&name)
|
|
.ok_or(Error::UserError(UserError::AttributeLimitReached))
|
|
.map(|id| (*field, id)),
|
|
})
|
|
.collect()
|
|
}
|
|
|
|
impl<'a, 'i> Transform<'a, 'i> {
|
|
pub fn new(
|
|
wtxn: &mut heed::RwTxn,
|
|
index: &'i Index,
|
|
indexer_settings: &'a IndexerConfig,
|
|
index_documents_method: IndexDocumentsMethod,
|
|
autogenerate_docids: bool,
|
|
) -> Result<Self> {
|
|
// We must choose the appropriate merge function for when two or more documents
|
|
// with the same user id must be merged or fully replaced in the same batch.
|
|
let merge_function = match index_documents_method {
|
|
IndexDocumentsMethod::ReplaceDocuments => keep_latest_obkv,
|
|
IndexDocumentsMethod::UpdateDocuments => merge_obkvs,
|
|
};
|
|
|
|
// We initialize the sorter with the user indexing settings.
|
|
let original_sorter = create_sorter(
|
|
grenad::SortAlgorithm::Stable,
|
|
merge_function,
|
|
indexer_settings.chunk_compression_type,
|
|
indexer_settings.chunk_compression_level,
|
|
indexer_settings.max_nb_chunks,
|
|
indexer_settings.max_memory.map(|mem| mem / 2),
|
|
);
|
|
|
|
// We initialize the sorter with the user indexing settings.
|
|
let flattened_sorter = create_sorter(
|
|
grenad::SortAlgorithm::Stable,
|
|
merge_function,
|
|
indexer_settings.chunk_compression_type,
|
|
indexer_settings.chunk_compression_level,
|
|
indexer_settings.max_nb_chunks,
|
|
indexer_settings.max_memory.map(|mem| mem / 2),
|
|
);
|
|
let documents_ids = index.documents_ids(wtxn)?;
|
|
let soft_deleted_documents_ids = index.soft_deleted_documents_ids(wtxn)?;
|
|
|
|
Ok(Transform {
|
|
index,
|
|
fields_ids_map: index.fields_ids_map(wtxn)?,
|
|
indexer_settings,
|
|
autogenerate_docids,
|
|
available_documents_ids: AvailableDocumentsIds::from_documents_ids(
|
|
&documents_ids,
|
|
&soft_deleted_documents_ids,
|
|
),
|
|
original_sorter,
|
|
flattened_sorter,
|
|
index_documents_method,
|
|
replaced_documents_ids: RoaringBitmap::new(),
|
|
new_documents_ids: RoaringBitmap::new(),
|
|
new_external_documents_ids_builder: FxHashMap::default(),
|
|
documents_count: 0,
|
|
})
|
|
}
|
|
|
|
pub fn read_documents<R, F>(
|
|
&mut self,
|
|
reader: EnrichedDocumentsBatchReader<R>,
|
|
wtxn: &mut heed::RwTxn,
|
|
progress_callback: F,
|
|
) -> Result<usize>
|
|
where
|
|
R: Read + Seek,
|
|
F: Fn(UpdateIndexingStep) + Sync,
|
|
{
|
|
let (mut cursor, fields_index) = reader.into_cursor_and_fields_index();
|
|
|
|
let external_documents_ids = self.index.external_documents_ids(wtxn)?;
|
|
|
|
let mapping = create_fields_mapping(&mut self.fields_ids_map, &fields_index)?;
|
|
|
|
let primary_key = cursor.primary_key().to_string();
|
|
let primary_key_id =
|
|
self.fields_ids_map.insert(&primary_key).ok_or(UserError::AttributeLimitReached)?;
|
|
|
|
let mut obkv_buffer = Vec::new();
|
|
let mut documents_count = 0;
|
|
let mut docid_buffer: Vec<u8> = Vec::new();
|
|
let mut field_buffer: Vec<(u16, Cow<[u8]>)> = Vec::new();
|
|
while let Some(enriched_document) = cursor.next_enriched_document()? {
|
|
let EnrichedDocument { document, document_id } = enriched_document;
|
|
|
|
// drop_and_reuse is called instead of .clear() to communicate to the compiler that field_buffer
|
|
// does not keep references from the cursor between loop iterations
|
|
let mut field_buffer_cache = drop_and_reuse(field_buffer);
|
|
if self.indexer_settings.log_every_n.map_or(false, |len| documents_count % len == 0) {
|
|
progress_callback(UpdateIndexingStep::RemapDocumentAddition {
|
|
documents_seen: documents_count,
|
|
});
|
|
}
|
|
|
|
// When the document id has been auto-generated by the `enrich_documents_batch`
|
|
// we must insert this document id into the remaped document.
|
|
let external_id = document_id.value();
|
|
if document_id.is_generated() {
|
|
serde_json::to_writer(&mut docid_buffer, external_id)
|
|
.map_err(InternalError::SerdeJson)?;
|
|
field_buffer_cache.push((primary_key_id, Cow::from(&docid_buffer)));
|
|
}
|
|
|
|
for (k, v) in document.iter() {
|
|
let mapped_id =
|
|
*mapping.get(&k).ok_or(InternalError::FieldIdMappingMissingEntry { key: k })?;
|
|
field_buffer_cache.push((mapped_id, Cow::from(v)));
|
|
}
|
|
|
|
// Insertion in a obkv need to be done with keys ordered. For now they are ordered
|
|
// according to the document addition key order, so we sort it according to the
|
|
// fieldids map keys order.
|
|
field_buffer_cache.sort_unstable_by(|(f1, _), (f2, _)| f1.cmp(&f2));
|
|
|
|
// Build the new obkv document.
|
|
let mut writer = obkv::KvWriter::new(&mut obkv_buffer);
|
|
for (k, v) in field_buffer_cache.iter() {
|
|
writer.insert(*k, v)?;
|
|
}
|
|
|
|
let mut original_docid = None;
|
|
|
|
let docid =
|
|
match self.new_external_documents_ids_builder.entry(external_id.clone().into()) {
|
|
Entry::Occupied(entry) => *entry.get() as u32,
|
|
Entry::Vacant(entry) => {
|
|
// If the document was already in the db we mark it as a replaced document.
|
|
// It'll be deleted later. We keep its original docid to insert it in the grenad.
|
|
if let Some(docid) = external_documents_ids.get(entry.key()) {
|
|
self.replaced_documents_ids.insert(docid);
|
|
original_docid = Some(docid);
|
|
}
|
|
let docid = self
|
|
.available_documents_ids
|
|
.next()
|
|
.ok_or(UserError::DocumentLimitReached)?;
|
|
entry.insert(docid as u64);
|
|
docid
|
|
}
|
|
};
|
|
|
|
let mut skip_insertion = false;
|
|
if let Some(original_docid) = original_docid {
|
|
let original_key = BEU32::new(original_docid);
|
|
let base_obkv = self
|
|
.index
|
|
.documents
|
|
.remap_data_type::<heed::types::ByteSlice>()
|
|
.get(wtxn, &original_key)?
|
|
.ok_or(InternalError::DatabaseMissingEntry {
|
|
db_name: db_name::DOCUMENTS,
|
|
key: None,
|
|
})?;
|
|
|
|
// we check if the two documents are exactly equal. If it's the case we can skip this document entirely
|
|
if base_obkv == obkv_buffer {
|
|
// we're not replacing anything
|
|
self.replaced_documents_ids.remove(original_docid);
|
|
// and we need to put back the original id as it was before
|
|
self.new_external_documents_ids_builder.remove(&*external_id);
|
|
skip_insertion = true;
|
|
} else {
|
|
// we associate the base document with the new key, everything will get merged later.
|
|
self.original_sorter.insert(&docid.to_be_bytes(), base_obkv)?;
|
|
match self.flatten_from_fields_ids_map(KvReader::new(&base_obkv))? {
|
|
Some(buffer) => {
|
|
self.flattened_sorter.insert(docid.to_be_bytes(), &buffer)?
|
|
}
|
|
None => self.flattened_sorter.insert(docid.to_be_bytes(), base_obkv)?,
|
|
}
|
|
}
|
|
}
|
|
|
|
if !skip_insertion {
|
|
self.new_documents_ids.insert(docid);
|
|
// We use the extracted/generated user id as the key for this document.
|
|
self.original_sorter.insert(&docid.to_be_bytes(), obkv_buffer.clone())?;
|
|
|
|
match self.flatten_from_fields_ids_map(KvReader::new(&obkv_buffer))? {
|
|
Some(buffer) => self.flattened_sorter.insert(docid.to_be_bytes(), &buffer)?,
|
|
None => {
|
|
self.flattened_sorter.insert(docid.to_be_bytes(), obkv_buffer.clone())?
|
|
}
|
|
}
|
|
}
|
|
documents_count += 1;
|
|
|
|
progress_callback(UpdateIndexingStep::RemapDocumentAddition {
|
|
documents_seen: documents_count,
|
|
});
|
|
|
|
field_buffer = drop_and_reuse(field_buffer_cache);
|
|
docid_buffer.clear();
|
|
obkv_buffer.clear();
|
|
}
|
|
|
|
progress_callback(UpdateIndexingStep::RemapDocumentAddition {
|
|
documents_seen: documents_count,
|
|
});
|
|
|
|
self.index.put_fields_ids_map(wtxn, &self.fields_ids_map)?;
|
|
self.index.put_primary_key(wtxn, &primary_key)?;
|
|
self.documents_count += documents_count;
|
|
// Now that we have a valid sorter that contains the user id and the obkv we
|
|
// give it to the last transforming function which returns the TransformOutput.
|
|
Ok(documents_count)
|
|
}
|
|
|
|
// Flatten a document from the fields ids map contained in self and insert the new
|
|
// created fields. Returns `None` if the document doesn't need to be flattened.
|
|
fn flatten_from_fields_ids_map(&mut self, obkv: KvReader<FieldId>) -> Result<Option<Vec<u8>>> {
|
|
if obkv
|
|
.iter()
|
|
.all(|(_, value)| !json_depth_checker::should_flatten_from_unchecked_slice(value))
|
|
{
|
|
return Ok(None);
|
|
}
|
|
|
|
// store the keys and values the original obkv + the flattened json
|
|
// We first extract all the key+value out of the obkv. If a value is not nested
|
|
// we keep a reference on its value. If the value is nested we'll get its value
|
|
// as an owned `Vec<u8>` after flattening it.
|
|
let mut key_value: Vec<(FieldId, Cow<[u8]>)> = Vec::new();
|
|
|
|
// the object we're going to use to store the fields that need to be flattened.
|
|
let mut doc = serde_json::Map::new();
|
|
|
|
// we recreate a json containing only the fields that needs to be flattened.
|
|
// all the raw values get inserted directly in the `key_value` vec.
|
|
for (key, value) in obkv.iter() {
|
|
if json_depth_checker::should_flatten_from_unchecked_slice(value) {
|
|
let key = self.fields_ids_map.name(key).ok_or(FieldIdMapMissingEntry::FieldId {
|
|
field_id: key,
|
|
process: "Flatten from fields ids map.",
|
|
})?;
|
|
|
|
let value = serde_json::from_slice::<Value>(value)
|
|
.map_err(crate::error::InternalError::SerdeJson)?;
|
|
doc.insert(key.to_string(), value);
|
|
} else {
|
|
key_value.push((key, value.into()));
|
|
}
|
|
}
|
|
|
|
let flattened = flatten_serde_json::flatten(&doc);
|
|
|
|
// Once we have the flattened version we insert all the new generated fields_ids
|
|
// (if any) in the fields ids map and serialize the value.
|
|
for (key, value) in flattened.into_iter() {
|
|
let fid = self.fields_ids_map.insert(&key).ok_or(UserError::AttributeLimitReached)?;
|
|
let value = serde_json::to_vec(&value).map_err(InternalError::SerdeJson)?;
|
|
key_value.push((fid, value.into()));
|
|
}
|
|
|
|
// we sort the key. If there was a conflict between the obkv and the new generated value the
|
|
// keys will be consecutive.
|
|
key_value.sort_unstable_by_key(|(key, _)| *key);
|
|
|
|
let mut buffer = Vec::new();
|
|
Self::create_obkv_from_key_value(&mut key_value, &mut buffer)?;
|
|
Ok(Some(buffer))
|
|
}
|
|
|
|
/// Generate an obkv from a slice of key / value sorted by key.
|
|
fn create_obkv_from_key_value(
|
|
key_value: &mut [(FieldId, Cow<[u8]>)],
|
|
output_buffer: &mut Vec<u8>,
|
|
) -> Result<()> {
|
|
debug_assert!(
|
|
key_value.windows(2).all(|vec| vec[0].0 <= vec[1].0),
|
|
"The slice of key / value pair must be sorted."
|
|
);
|
|
|
|
output_buffer.clear();
|
|
let mut writer = KvWriter::new(output_buffer);
|
|
|
|
let mut skip_next_value = false;
|
|
for things in key_value.windows(2) {
|
|
if skip_next_value {
|
|
skip_next_value = false;
|
|
continue;
|
|
}
|
|
let (key1, value1) = &things[0];
|
|
let (key2, value2) = &things[1];
|
|
|
|
// now we're going to look for conflicts between the keys. For example the following documents would cause a conflict:
|
|
// { "doggo.name": "jean", "doggo": { "name": "paul" } }
|
|
// we should find a first "doggo.name" from the obkv and a second one from the flattening.
|
|
// but we must generate the following document:
|
|
// { "doggo.name": ["jean", "paul"] }
|
|
// thus we're going to merge the value from the obkv and the flattened document in a single array and skip the next
|
|
// iteration.
|
|
if key1 == key2 {
|
|
skip_next_value = true;
|
|
|
|
let value1 = serde_json::from_slice(value1)
|
|
.map_err(crate::error::InternalError::SerdeJson)?;
|
|
let value2 = serde_json::from_slice(value2)
|
|
.map_err(crate::error::InternalError::SerdeJson)?;
|
|
let value = match (value1, value2) {
|
|
(Value::Array(mut left), Value::Array(mut right)) => {
|
|
left.append(&mut right);
|
|
Value::Array(left)
|
|
}
|
|
(Value::Array(mut array), value) | (value, Value::Array(mut array)) => {
|
|
array.push(value);
|
|
Value::Array(array)
|
|
}
|
|
(left, right) => Value::Array(vec![left, right]),
|
|
};
|
|
|
|
let value = serde_json::to_vec(&value).map_err(InternalError::SerdeJson)?;
|
|
writer.insert(*key1, value)?;
|
|
} else {
|
|
writer.insert(*key1, value1)?;
|
|
}
|
|
}
|
|
|
|
if !skip_next_value {
|
|
// the unwrap is safe here, we know there was at least one value in the document
|
|
let (key, value) = key_value.last().unwrap();
|
|
writer.insert(*key, value)?;
|
|
}
|
|
|
|
Ok(())
|
|
}
|
|
|
|
fn remove_deleted_documents_from_field_distribution(
|
|
&self,
|
|
rtxn: &RoTxn,
|
|
field_distribution: &mut FieldDistribution,
|
|
) -> Result<()> {
|
|
for deleted_docid in self.replaced_documents_ids.iter() {
|
|
let obkv = self.index.documents.get(rtxn, &BEU32::new(deleted_docid))?.ok_or(
|
|
InternalError::DatabaseMissingEntry { db_name: db_name::DOCUMENTS, key: None },
|
|
)?;
|
|
|
|
for (key, _) in obkv.iter() {
|
|
let name =
|
|
self.fields_ids_map.name(key).ok_or(FieldIdMapMissingEntry::FieldId {
|
|
field_id: key,
|
|
process: "Computing field distribution in transform.",
|
|
})?;
|
|
// We checked that the document was in the db earlier. If we can't find it it means
|
|
// there is an inconsistency between the field distribution and the field id map.
|
|
let field =
|
|
field_distribution.get_mut(name).ok_or(FieldIdMapMissingEntry::FieldId {
|
|
field_id: key,
|
|
process: "Accessing field distribution in transform.",
|
|
})?;
|
|
*field -= 1;
|
|
if *field == 0 {
|
|
// since we were able to get the field right before it's safe to unwrap here
|
|
field_distribution.remove(name).unwrap();
|
|
}
|
|
}
|
|
}
|
|
Ok(())
|
|
}
|
|
|
|
/// Generate the `TransformOutput` based on the given sorter that can be generated from any
|
|
/// format like CSV, JSON or JSON stream. This sorter must contain a key that is the document
|
|
/// id for the user side and the value must be an obkv where keys are valid fields ids.
|
|
pub(crate) fn output_from_sorter<F>(
|
|
self,
|
|
wtxn: &mut heed::RwTxn,
|
|
progress_callback: F,
|
|
) -> Result<TransformOutput>
|
|
where
|
|
F: Fn(UpdateIndexingStep) + Sync,
|
|
{
|
|
let primary_key = self
|
|
.index
|
|
.primary_key(&wtxn)?
|
|
.ok_or(Error::UserError(UserError::MissingPrimaryKey))?
|
|
.to_string();
|
|
|
|
let mut external_documents_ids = self.index.external_documents_ids(wtxn)?;
|
|
|
|
// We create a final writer to write the new documents in order from the sorter.
|
|
let mut writer = create_writer(
|
|
self.indexer_settings.chunk_compression_type,
|
|
self.indexer_settings.chunk_compression_level,
|
|
tempfile::tempfile()?,
|
|
);
|
|
|
|
// To compute the field distribution we need to;
|
|
// 1. Remove all the deleted documents from the field distribution
|
|
// 2. Add all the new documents to the field distribution
|
|
let mut field_distribution = self.index.field_distribution(wtxn)?;
|
|
|
|
self.remove_deleted_documents_from_field_distribution(wtxn, &mut field_distribution)?;
|
|
|
|
// Here we are going to do the document count + field distribution + `write_into_stream_writer`
|
|
let mut iter = self.original_sorter.into_stream_merger_iter()?;
|
|
// used only for the callback
|
|
let mut documents_count = 0;
|
|
|
|
while let Some((key, val)) = iter.next()? {
|
|
// send a callback to show at which step we are
|
|
documents_count += 1;
|
|
progress_callback(UpdateIndexingStep::ComputeIdsAndMergeDocuments {
|
|
documents_seen: documents_count,
|
|
total_documents: self.documents_count,
|
|
});
|
|
|
|
// We increment all the field of the current document in the field distribution.
|
|
let obkv = KvReader::new(val);
|
|
|
|
for (key, _) in obkv.iter() {
|
|
let name =
|
|
self.fields_ids_map.name(key).ok_or(FieldIdMapMissingEntry::FieldId {
|
|
field_id: key,
|
|
process: "Computing field distribution in transform.",
|
|
})?;
|
|
*field_distribution.entry(name.to_string()).or_insert(0) += 1;
|
|
}
|
|
writer.insert(key, val)?;
|
|
}
|
|
|
|
let mut original_documents = writer.into_inner()?;
|
|
// We then extract the file and reset the seek to be able to read it again.
|
|
original_documents.seek(SeekFrom::Start(0))?;
|
|
|
|
// We create a final writer to write the new documents in order from the sorter.
|
|
let mut writer = create_writer(
|
|
self.indexer_settings.chunk_compression_type,
|
|
self.indexer_settings.chunk_compression_level,
|
|
tempfile::tempfile()?,
|
|
);
|
|
// Once we have written all the documents into the final sorter, we write the documents
|
|
// into this writer, extract the file and reset the seek to be able to read it again.
|
|
self.flattened_sorter.write_into_stream_writer(&mut writer)?;
|
|
let mut flattened_documents = writer.into_inner()?;
|
|
flattened_documents.seek(SeekFrom::Start(0))?;
|
|
|
|
let mut new_external_documents_ids_builder: Vec<_> =
|
|
self.new_external_documents_ids_builder.into_iter().collect();
|
|
|
|
new_external_documents_ids_builder
|
|
.sort_unstable_by(|(left, _), (right, _)| left.cmp(&right));
|
|
let mut fst_new_external_documents_ids_builder = fst::MapBuilder::memory();
|
|
new_external_documents_ids_builder.into_iter().try_for_each(|(key, value)| {
|
|
fst_new_external_documents_ids_builder.insert(key, value)
|
|
})?;
|
|
let new_external_documents_ids = fst_new_external_documents_ids_builder.into_map();
|
|
external_documents_ids.insert_ids(&new_external_documents_ids)?;
|
|
|
|
Ok(TransformOutput {
|
|
primary_key,
|
|
fields_ids_map: self.fields_ids_map,
|
|
field_distribution,
|
|
external_documents_ids: external_documents_ids.into_static(),
|
|
new_documents_ids: self.new_documents_ids,
|
|
replaced_documents_ids: self.replaced_documents_ids,
|
|
documents_count: self.documents_count,
|
|
original_documents,
|
|
flattened_documents,
|
|
})
|
|
}
|
|
|
|
/// Returns a `TransformOutput` with a file that contains the documents of the index
|
|
/// with the attributes reordered accordingly to the `FieldsIdsMap` given as argument.
|
|
// TODO this can be done in parallel by using the rayon `ThreadPool`.
|
|
pub fn remap_index_documents(
|
|
self,
|
|
wtxn: &mut heed::RwTxn,
|
|
old_fields_ids_map: FieldsIdsMap,
|
|
mut new_fields_ids_map: FieldsIdsMap,
|
|
) -> Result<TransformOutput> {
|
|
// There already has been a document addition, the primary key should be set by now.
|
|
let primary_key =
|
|
self.index.primary_key(wtxn)?.ok_or(UserError::MissingPrimaryKey)?.to_string();
|
|
let field_distribution = self.index.field_distribution(wtxn)?;
|
|
let external_documents_ids = self.index.external_documents_ids(wtxn)?;
|
|
let documents_ids = self.index.documents_ids(wtxn)?;
|
|
let documents_count = documents_ids.len() as usize;
|
|
|
|
// We create a final writer to write the new documents in order from the sorter.
|
|
let mut original_writer = create_writer(
|
|
self.indexer_settings.chunk_compression_type,
|
|
self.indexer_settings.chunk_compression_level,
|
|
tempfile::tempfile()?,
|
|
);
|
|
|
|
// We create a final writer to write the new documents in order from the sorter.
|
|
let mut flattened_writer = create_writer(
|
|
self.indexer_settings.chunk_compression_type,
|
|
self.indexer_settings.chunk_compression_level,
|
|
tempfile::tempfile()?,
|
|
);
|
|
|
|
let mut obkv_buffer = Vec::new();
|
|
for result in self.index.documents.iter(wtxn)? {
|
|
let (docid, obkv) = result?;
|
|
let docid = docid.get();
|
|
|
|
obkv_buffer.clear();
|
|
let mut obkv_writer = obkv::KvWriter::<_, FieldId>::new(&mut obkv_buffer);
|
|
|
|
// We iterate over the new `FieldsIdsMap` ids in order and construct the new obkv.
|
|
for (id, name) in new_fields_ids_map.iter() {
|
|
if let Some(val) = old_fields_ids_map.id(name).and_then(|id| obkv.get(id)) {
|
|
obkv_writer.insert(id, val)?;
|
|
}
|
|
}
|
|
|
|
let buffer = obkv_writer.into_inner()?;
|
|
original_writer.insert(docid.to_be_bytes(), &buffer)?;
|
|
|
|
// Once we have the document. We're going to flatten it
|
|
// and insert it in the flattened sorter.
|
|
let mut doc = serde_json::Map::new();
|
|
|
|
let reader = obkv::KvReader::new(buffer);
|
|
for (k, v) in reader.iter() {
|
|
let key = new_fields_ids_map.name(k).ok_or(FieldIdMapMissingEntry::FieldId {
|
|
field_id: k,
|
|
process: "Accessing field distribution in transform.",
|
|
})?;
|
|
let value = serde_json::from_slice::<serde_json::Value>(v)
|
|
.map_err(InternalError::SerdeJson)?;
|
|
doc.insert(key.to_string(), value);
|
|
}
|
|
|
|
let flattened = flatten_serde_json::flatten(&doc);
|
|
|
|
// Once we have the flattened version we can convert it back to obkv and
|
|
// insert all the new generated fields_ids (if any) in the fields ids map.
|
|
let mut buffer: Vec<u8> = Vec::new();
|
|
let mut writer = KvWriter::new(&mut buffer);
|
|
let mut flattened: Vec<_> = flattened.into_iter().collect();
|
|
// we reorder the field to get all the known field first
|
|
flattened.sort_unstable_by_key(|(key, _)| {
|
|
new_fields_ids_map.id(&key).unwrap_or(FieldId::MAX)
|
|
});
|
|
|
|
for (key, value) in flattened {
|
|
let fid =
|
|
new_fields_ids_map.insert(&key).ok_or(UserError::AttributeLimitReached)?;
|
|
let value = serde_json::to_vec(&value).map_err(InternalError::SerdeJson)?;
|
|
writer.insert(fid, &value)?;
|
|
}
|
|
flattened_writer.insert(docid.to_be_bytes(), &buffer)?;
|
|
}
|
|
|
|
// Once we have written all the documents, we extract
|
|
// the file and reset the seek to be able to read it again.
|
|
let mut original_documents = original_writer.into_inner()?;
|
|
original_documents.seek(SeekFrom::Start(0))?;
|
|
|
|
let mut flattened_documents = flattened_writer.into_inner()?;
|
|
flattened_documents.seek(SeekFrom::Start(0))?;
|
|
|
|
Ok(TransformOutput {
|
|
primary_key,
|
|
fields_ids_map: new_fields_ids_map,
|
|
field_distribution,
|
|
external_documents_ids: external_documents_ids.into_static(),
|
|
new_documents_ids: documents_ids,
|
|
replaced_documents_ids: RoaringBitmap::default(),
|
|
documents_count,
|
|
original_documents,
|
|
flattened_documents,
|
|
})
|
|
}
|
|
}
|
|
|
|
/// Drops all the value of type `U` in vec, and reuses the allocation to create a `Vec<T>`.
|
|
///
|
|
/// The size and alignment of T and U must match.
|
|
fn drop_and_reuse<U, T>(mut vec: Vec<U>) -> Vec<T> {
|
|
debug_assert_eq!(std::mem::align_of::<U>(), std::mem::align_of::<T>());
|
|
debug_assert_eq!(std::mem::size_of::<U>(), std::mem::size_of::<T>());
|
|
vec.clear();
|
|
debug_assert!(vec.is_empty());
|
|
vec.into_iter().map(|_| unreachable!()).collect()
|
|
}
|
|
|
|
impl TransformOutput {
|
|
// find and insert the new field ids
|
|
pub fn compute_real_facets(&self, rtxn: &RoTxn, index: &Index) -> Result<HashSet<String>> {
|
|
let user_defined_facets = index.user_defined_faceted_fields(rtxn)?;
|
|
|
|
Ok(self
|
|
.fields_ids_map
|
|
.names()
|
|
.filter(|&field| crate::is_faceted(field, &user_defined_facets))
|
|
.map(|field| field.to_string())
|
|
.collect())
|
|
}
|
|
}
|