mirror of
https://github.com/meilisearch/MeiliSearch
synced 2024-11-09 14:38:56 +01:00
Support guessing primary key again
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parent
2a0ad0982f
commit
3e9198ebaa
@ -29,14 +29,17 @@ use meilisearch_types::error::Code;
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use meilisearch_types::heed::{RoTxn, RwTxn};
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use meilisearch_types::milli::documents::{obkv_to_object, DocumentsBatchReader, PrimaryKey};
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use meilisearch_types::milli::heed::CompactionOption;
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use meilisearch_types::milli::update::new::indexer::{self, guess_primary_key, DocumentChanges};
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use meilisearch_types::milli::update::new::indexer::{
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self, retrieve_or_guess_primary_key, DocumentChanges,
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};
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use meilisearch_types::milli::update::new::TopLevelMap;
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use meilisearch_types::milli::update::{
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IndexDocumentsConfig, IndexDocumentsMethod, IndexerConfig, Settings as MilliSettings,
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};
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use meilisearch_types::milli::vector::parsed_vectors::{
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ExplicitVectors, VectorOrArrayOfVectors, RESERVED_VECTORS_FIELD_NAME,
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};
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use meilisearch_types::milli::{self, Filter, Object};
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use meilisearch_types::milli::{self, Filter, InternalError, Object};
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use meilisearch_types::settings::{apply_settings_to_builder, Settings, Unchecked};
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use meilisearch_types::tasks::{Details, IndexSwap, Kind, KindWithContent, Status, Task};
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use meilisearch_types::{compression, Index, VERSION_FILE_NAME};
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@ -1296,22 +1299,34 @@ impl IndexScheduler {
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})
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.unwrap();
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// let content_file = self.file_store.get_update(*first_addition_uuid)?;
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// let reader =
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// DocumentsBatchReader::from_reader(content_file).map_err(milli::Error::from)?;
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// let (cursor, documents_batch_index) = reader.into_cursor_and_fields_index();
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// let primary_key =
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// guess_primary_key(&rtxn, index, cursor, &documents_batch_index)?.unwrap();
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let mut content_files = Vec::new();
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for operation in &operations {
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if let DocumentOperation::Add(content_uuid) = operation {
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let content_file = self.file_store.get_update(*content_uuid)?;
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let mmap = unsafe { memmap2::Mmap::map(&content_file)? };
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content_files.push(mmap);
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if !mmap.is_empty() {
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content_files.push(mmap);
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}
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}
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}
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let mut fields_ids_map = index.fields_ids_map(&rtxn)?;
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let first_document = match content_files.first() {
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Some(mmap) => {
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let mut iter = serde_json::Deserializer::from_slice(mmap).into_iter();
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iter.next().transpose().map_err(|e| e.into()).map_err(Error::IoError)?
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}
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None => None,
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};
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let primary_key = retrieve_or_guess_primary_key(
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&rtxn,
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index,
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&mut fields_ids_map,
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first_document.as_ref(),
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)?
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.unwrap();
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let mut content_files_iter = content_files.iter();
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let mut indexer = indexer::DocumentOperation::new(method);
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for (operation, task) in operations.into_iter().zip(tasks.iter_mut()) {
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@ -1364,21 +1379,9 @@ impl IndexScheduler {
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}
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if !tasks.iter().all(|res| res.error.is_some()) {
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let mut fields_ids_map = index.fields_ids_map(&rtxn)?;
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/// TODO create a pool if needed
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// let pool = indexer_config.thread_pool.unwrap();
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let pool = rayon::ThreadPoolBuilder::new().build().unwrap();
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// let fields_ids_map = RwLock::new(fields_ids_map);
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/// TODO correctly guess the primary key in a NDJSON
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let pk = match std::env::var("MEILI_PRIMARY_KEY") {
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Ok(pk) => pk,
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Err(VarError::NotPresent) => "id".to_string(),
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Err(e) => panic!("primary key error: {e}"),
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};
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fields_ids_map.insert(&pk);
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let primary_key = PrimaryKey::new(&pk, &fields_ids_map).unwrap();
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let param = (index, &rtxn, &primary_key);
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let document_changes = indexer.document_changes(&mut fields_ids_map, param)?;
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@ -22,7 +22,7 @@ use crate::documents::{
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};
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use crate::update::new::channel::{DatabaseType, ExtractorSender};
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use crate::update::GrenadParameters;
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use crate::{FieldsIdsMap, GlobalFieldsIdsMap, Index, Result, UserError};
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use crate::{FieldsIdsMap, GlobalFieldsIdsMap, Index, InternalError, Result, UserError};
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mod document_deletion;
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mod document_operation;
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@ -242,53 +242,46 @@ fn extract_and_send_docids<E: SearchableExtractor, D: DatabaseType>(
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Ok(sender.send_searchable::<D>(merger).unwrap())
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}
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/// Returns the primary key *field id* that has already been set for this index or the
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/// one we will guess by searching for the first key that contains "id" as a substring.
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/// TODO move this elsewhere
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pub fn guess_primary_key<'a>(
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pub fn retrieve_or_guess_primary_key<'a>(
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rtxn: &'a RoTxn<'a>,
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index: &Index,
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mut cursor: DocumentsBatchCursor<File>,
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documents_batch_index: &'a DocumentsBatchIndex,
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fields_ids_map: &mut FieldsIdsMap,
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first_document: Option<&'a TopLevelMap<'_>>,
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) -> Result<StdResult<PrimaryKey<'a>, UserError>> {
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// The primary key *field id* that has already been set for this index or the one
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// we will guess by searching for the first key that contains "id" as a substring.
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match index.primary_key(rtxn)? {
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Some(primary_key) => match PrimaryKey::new(primary_key, documents_batch_index) {
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Some(primary_key) => match PrimaryKey::new(primary_key, fields_ids_map) {
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Some(primary_key) => Ok(Ok(primary_key)),
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None => match cursor.next_document()? {
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Some(first_document) => Ok(Err(UserError::MissingDocumentId {
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primary_key: primary_key.to_string(),
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document: obkv_to_object(first_document, documents_batch_index)?,
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})),
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None => unreachable!("Called with reader.is_empty()"),
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},
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None => unreachable!("Why is the primary key not in the fidmap?"),
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},
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None => {
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let mut guesses: Vec<(u16, &str)> = documents_batch_index
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.iter()
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.filter(|(_, name)| name.to_lowercase().ends_with(DEFAULT_PRIMARY_KEY))
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.map(|(field_id, name)| (*field_id, name.as_str()))
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let first_document = match first_document {
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Some(document) => document,
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None => return Ok(Err(UserError::NoPrimaryKeyCandidateFound)),
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};
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let mut guesses: Vec<&str> = first_document
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.keys()
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.map(AsRef::as_ref)
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.filter(|name| name.to_lowercase().ends_with(DEFAULT_PRIMARY_KEY))
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.collect();
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// sort the keys in a deterministic, obvious way, so that fields are always in the same order.
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guesses.sort_by(|(_, left_name), (_, right_name)| {
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// shortest name first
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left_name.len().cmp(&right_name.len()).then_with(
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// then alphabetical order
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|| left_name.cmp(right_name),
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)
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});
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// sort the keys in lexicographical order, so that fields are always in the same order.
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guesses.sort_unstable();
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match guesses.as_slice() {
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[] => Ok(Err(UserError::NoPrimaryKeyCandidateFound)),
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[(field_id, name)] => {
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[name] => {
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tracing::info!("Primary key was not specified in index. Inferred to '{name}'");
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Ok(Ok(PrimaryKey::Flat { name, field_id: *field_id }))
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match fields_ids_map.insert(name) {
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Some(field_id) => Ok(Ok(PrimaryKey::Flat { name, field_id })),
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None => Ok(Err(UserError::AttributeLimitReached)),
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}
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}
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multiple => Ok(Err(UserError::MultiplePrimaryKeyCandidatesFound {
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candidates: multiple
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.iter()
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.map(|(_, candidate)| candidate.to_string())
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.collect(),
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candidates: multiple.iter().map(|candidate| candidate.to_string()).collect(),
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})),
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}
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}
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@ -1,13 +1,41 @@
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use std::borrow::{Borrow, Cow};
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use std::collections::BTreeMap;
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use std::fmt;
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use std::{fmt, ops};
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use serde::{Deserialize, Serialize};
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use serde_json::value::RawValue;
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use serde_json::{Map, Value};
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#[derive(Deserialize, Serialize)]
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pub struct TopLevelMap<'p>(#[serde(borrow)] pub BTreeMap<CowStr<'p>, &'p RawValue>);
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impl TryFrom<&'_ TopLevelMap<'_>> for Map<String, Value> {
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type Error = serde_json::Error;
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fn try_from(tlmap: &TopLevelMap<'_>) -> Result<Self, Self::Error> {
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let mut object = Map::new();
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for (k, v) in &tlmap.0 {
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let value = serde_json::from_str(v.get())?;
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object.insert(k.to_string(), value);
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}
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Ok(object)
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}
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}
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impl<'p> ops::Deref for TopLevelMap<'p> {
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type Target = BTreeMap<CowStr<'p>, &'p RawValue>;
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fn deref(&self) -> &Self::Target {
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&self.0
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}
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}
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impl ops::DerefMut for TopLevelMap<'_> {
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fn deref_mut(&mut self) -> &mut Self::Target {
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&mut self.0
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}
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}
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#[derive(Deserialize, Serialize, PartialEq, Eq, PartialOrd, Ord, Hash, Clone)]
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pub struct CowStr<'p>(#[serde(borrow)] pub Cow<'p, str>);
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