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https://github.com/meilisearch/MeiliSearch
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Merge #4203
4203: Extract external document docids from docs on deletion by filter r=Kerollmops a=dureuill This fixes some of the performance regression observed on `diff-indexing` when doing delete-by-filter with a filter matching many documents. To delete 19 768 771 documents (hackernews dataset, all documents matching `type = comment`), here are the observed time: |branch (commit sha1sum)|time|speed-down factor (lower is better)| |--|--|--| |`main` (48865470d7
)|1212.885536s (~20min)|x1.0 (baseline)| |`diff-indexing` (523519fdbf
)|5385.550543s (90min)|x4.44| |**`diff-indexing-extract-primary-key`**(f8289cd974
)|2582.323324s (43min) | x2.13| So we're still suffering a speed-down of x2.13, but that's much better than x4.44. --- Changes: - Refactor the logic of PrimaryKey extraction to a struct - Add a trait to abstract the extraction of field id from a name between `DocumentBatch` and `FieldIdMap`. - Add `Index::external_id_of` to get the external ids of a bitmap of internal ids. - Use this new method to add new Transform and Batch methods to remove documents that are known to be from the DB. - Modify delete-by-filter to use the new method Co-authored-by: Louis Dureuil <louis@meilisearch.com>
This commit is contained in:
commit
72d3fa4898
@ -864,22 +864,12 @@ fn delete_documents_from_ids(index: Index, document_ids_to_delete: Vec<RoaringBi
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let indexer_config = IndexerConfig::default();
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for ids in document_ids_to_delete {
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let external_documents_ids = index.external_documents_ids();
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// FIXME: for filters matching a lot of documents, this will allocate a huge vec of external docids (strings).
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// Since what we have is an iterator, it would be better to delete in chunks
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let external_to_internal: std::result::Result<Vec<_>, RoaringBitmap> =
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external_documents_ids
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.find_external_id_of(&wtxn, ids)
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.unwrap()
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.only_external_ids()
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.collect();
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let ids = external_to_internal.unwrap();
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let config = IndexDocumentsConfig::default();
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let mut builder =
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IndexDocuments::new(&mut wtxn, &index, &indexer_config, config, |_| (), || false)
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.unwrap();
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(builder, _) = builder.remove_documents(ids).unwrap();
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(builder, _) = builder.remove_documents_from_db_no_batch(&ids).unwrap();
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builder.execute().unwrap();
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}
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@ -1534,18 +1534,6 @@ fn delete_document_by_filter<'a>(
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}
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e => e.into(),
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})?;
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let external_documents_ids = index.external_documents_ids();
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// FIXME: for filters matching a lot of documents, this will allocate a huge vec of external docids (strings).
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// Since what we have is an iterator, it would be better to delete in chunks
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let external_to_internal: std::result::Result<Vec<_>, RoaringBitmap> =
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external_documents_ids
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.find_external_id_of(wtxn, candidates)?
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.only_external_ids()
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.collect();
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let document_ids = match external_to_internal {
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Ok(external_ids) => external_ids,
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Err(remaining_ids) => panic!("Couldn't find some external ids {:?}", remaining_ids),
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};
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let config = IndexDocumentsConfig {
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update_method: IndexDocumentsMethod::ReplaceDocuments,
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@ -1561,13 +1549,10 @@ fn delete_document_by_filter<'a>(
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|| must_stop_processing.get(),
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)?;
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let (new_builder, user_result) = builder.remove_documents(document_ids)?;
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let (new_builder, count) = builder.remove_documents_from_db_no_batch(&candidates)?;
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builder = new_builder;
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// Uses Invariant: remove documents actually always returns Ok for the inner result
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let count = user_result.unwrap();
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let _ = builder.execute()?;
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count
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} else {
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0
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@ -1,5 +1,6 @@
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mod builder;
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mod enriched;
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mod primary_key;
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mod reader;
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mod serde_impl;
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@ -11,6 +12,7 @@ use bimap::BiHashMap;
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pub use builder::DocumentsBatchBuilder;
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pub use enriched::{EnrichedDocument, EnrichedDocumentsBatchCursor, EnrichedDocumentsBatchReader};
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use obkv::KvReader;
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pub use primary_key::{DocumentIdExtractionError, FieldIdMapper, PrimaryKey, DEFAULT_PRIMARY_KEY};
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pub use reader::{DocumentsBatchCursor, DocumentsBatchCursorError, DocumentsBatchReader};
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use serde::{Deserialize, Serialize};
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@ -87,6 +89,12 @@ impl DocumentsBatchIndex {
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}
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}
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impl FieldIdMapper for DocumentsBatchIndex {
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fn id(&self, name: &str) -> Option<FieldId> {
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self.id(name)
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}
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}
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#[derive(Debug, thiserror::Error)]
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pub enum Error {
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#[error("Error parsing number {value:?} at line {line}: {error}")]
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|
172
milli/src/documents/primary_key.rs
Normal file
172
milli/src/documents/primary_key.rs
Normal file
@ -0,0 +1,172 @@
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use std::iter;
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use std::result::Result as StdResult;
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use serde_json::Value;
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use crate::{FieldId, InternalError, Object, Result, UserError};
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/// The symbol used to define levels in a nested primary key.
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const PRIMARY_KEY_SPLIT_SYMBOL: char = '.';
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/// The default primary that is used when not specified.
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pub const DEFAULT_PRIMARY_KEY: &str = "id";
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/// Trait for objects that can map the name of a field to its [`FieldId`].
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pub trait FieldIdMapper {
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/// Attempts to map the passed name to its [`FieldId`].
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///
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/// `None` if the field with this name was not found.
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fn id(&self, name: &str) -> Option<FieldId>;
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}
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/// A type that represent the type of primary key that has been set
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/// for this index, a classic flat one or a nested one.
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#[derive(Debug, Clone, Copy)]
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pub enum PrimaryKey<'a> {
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Flat { name: &'a str, field_id: FieldId },
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Nested { name: &'a str },
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}
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pub enum DocumentIdExtractionError {
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InvalidDocumentId(UserError),
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MissingDocumentId,
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TooManyDocumentIds(usize),
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}
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impl<'a> PrimaryKey<'a> {
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pub fn new(path: &'a str, fields: &impl FieldIdMapper) -> Option<Self> {
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Some(if path.contains(PRIMARY_KEY_SPLIT_SYMBOL) {
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Self::Nested { name: path }
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} else {
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let field_id = fields.id(path)?;
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Self::Flat { name: path, field_id }
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})
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}
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pub fn name(&self) -> &str {
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match self {
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PrimaryKey::Flat { name, .. } => name,
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PrimaryKey::Nested { name } => name,
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}
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}
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pub fn document_id(
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&self,
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document: &obkv::KvReader<FieldId>,
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fields: &impl FieldIdMapper,
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) -> Result<StdResult<String, DocumentIdExtractionError>> {
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match self {
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PrimaryKey::Flat { name: _, field_id } => match document.get(*field_id) {
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Some(document_id_bytes) => {
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let document_id = serde_json::from_slice(document_id_bytes)
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.map_err(InternalError::SerdeJson)?;
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match validate_document_id_value(document_id)? {
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Ok(document_id) => Ok(Ok(document_id)),
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Err(user_error) => {
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Ok(Err(DocumentIdExtractionError::InvalidDocumentId(user_error)))
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}
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}
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}
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None => Ok(Err(DocumentIdExtractionError::MissingDocumentId)),
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},
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nested @ PrimaryKey::Nested { .. } => {
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let mut matching_documents_ids = Vec::new();
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for (first_level_name, right) in nested.possible_level_names() {
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if let Some(field_id) = fields.id(first_level_name) {
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if let Some(value_bytes) = document.get(field_id) {
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let object = serde_json::from_slice(value_bytes)
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.map_err(InternalError::SerdeJson)?;
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fetch_matching_values(object, right, &mut matching_documents_ids);
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if matching_documents_ids.len() >= 2 {
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return Ok(Err(DocumentIdExtractionError::TooManyDocumentIds(
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matching_documents_ids.len(),
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)));
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}
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}
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}
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}
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match matching_documents_ids.pop() {
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Some(document_id) => match validate_document_id_value(document_id)? {
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Ok(document_id) => Ok(Ok(document_id)),
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Err(user_error) => {
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Ok(Err(DocumentIdExtractionError::InvalidDocumentId(user_error)))
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}
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},
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None => Ok(Err(DocumentIdExtractionError::MissingDocumentId)),
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}
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}
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}
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}
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/// Returns an `Iterator` that gives all the possible fields names the primary key
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/// can have depending of the first level name and depth of the objects.
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pub fn possible_level_names(&self) -> impl Iterator<Item = (&str, &str)> + '_ {
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let name = self.name();
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name.match_indices(PRIMARY_KEY_SPLIT_SYMBOL)
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.map(move |(i, _)| (&name[..i], &name[i + PRIMARY_KEY_SPLIT_SYMBOL.len_utf8()..]))
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.chain(iter::once((name, "")))
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}
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}
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fn fetch_matching_values(value: Value, selector: &str, output: &mut Vec<Value>) {
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match value {
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Value::Object(object) => fetch_matching_values_in_object(object, selector, "", output),
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otherwise => output.push(otherwise),
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}
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}
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fn fetch_matching_values_in_object(
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object: Object,
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selector: &str,
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base_key: &str,
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output: &mut Vec<Value>,
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) {
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for (key, value) in object {
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let base_key = if base_key.is_empty() {
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key.to_string()
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} else {
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format!("{}{}{}", base_key, PRIMARY_KEY_SPLIT_SYMBOL, key)
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};
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if starts_with(selector, &base_key) {
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match value {
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Value::Object(object) => {
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fetch_matching_values_in_object(object, selector, &base_key, output)
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}
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value => output.push(value),
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}
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}
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}
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}
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fn starts_with(selector: &str, key: &str) -> bool {
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selector.strip_prefix(key).map_or(false, |tail| {
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tail.chars().next().map(|c| c == PRIMARY_KEY_SPLIT_SYMBOL).unwrap_or(true)
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})
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}
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// FIXME: move to a DocumentId struct
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fn validate_document_id(document_id: &str) -> Option<&str> {
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if !document_id.is_empty()
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&& document_id.chars().all(|c| matches!(c, 'a'..='z' | 'A'..='Z' | '0'..='9' | '-' | '_'))
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{
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Some(document_id)
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} else {
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None
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}
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}
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pub fn validate_document_id_value(document_id: Value) -> Result<StdResult<String, UserError>> {
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match document_id {
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Value::String(string) => match validate_document_id(&string) {
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Some(s) if s.len() == string.len() => Ok(Ok(string)),
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Some(s) => Ok(Ok(s.to_string())),
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None => Ok(Err(UserError::InvalidDocumentId { document_id: Value::String(string) })),
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},
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Value::Number(number) if number.is_i64() => Ok(Ok(number.to_string())),
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content => Ok(Err(UserError::InvalidDocumentId { document_id: content })),
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}
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}
|
@ -81,6 +81,12 @@ impl Default for FieldsIdsMap {
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}
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}
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impl crate::documents::FieldIdMapper for FieldsIdsMap {
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fn id(&self, name: &str) -> Option<FieldId> {
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self.id(name)
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}
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}
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#[cfg(test)]
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mod tests {
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use super::*;
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|
@ -12,6 +12,7 @@ use rstar::RTree;
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use time::OffsetDateTime;
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use crate::distance::NDotProductPoint;
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use crate::documents::PrimaryKey;
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use crate::error::{InternalError, UserError};
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use crate::fields_ids_map::FieldsIdsMap;
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use crate::heed_codec::facet::{
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@ -1176,6 +1177,36 @@ impl Index {
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self.iter_documents(rtxn, self.documents_ids(rtxn)?)
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}
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pub fn external_id_of<'a, 't: 'a>(
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&'a self,
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rtxn: &'t RoTxn,
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ids: impl IntoIterator<Item = DocumentId> + 'a,
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) -> Result<impl IntoIterator<Item = Result<String>> + 'a> {
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let fields = self.fields_ids_map(rtxn)?;
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// uses precondition "never called on an empty index"
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let primary_key = self.primary_key(rtxn)?.ok_or(InternalError::DatabaseMissingEntry {
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db_name: db_name::MAIN,
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key: Some(main_key::PRIMARY_KEY_KEY),
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})?;
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let primary_key = PrimaryKey::new(primary_key, &fields).ok_or_else(|| {
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InternalError::FieldIdMapMissingEntry(crate::FieldIdMapMissingEntry::FieldName {
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field_name: primary_key.to_owned(),
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process: "external_id_of",
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})
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})?;
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Ok(self.iter_documents(rtxn, ids)?.map(move |entry| -> Result<_> {
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let (_docid, obkv) = entry?;
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match primary_key.document_id(&obkv, &fields)? {
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Ok(document_id) => Ok(document_id),
|
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Err(_) => Err(InternalError::DocumentsError(
|
||||
crate::documents::Error::InvalidDocumentFormat,
|
||||
)
|
||||
.into()),
|
||||
}
|
||||
}))
|
||||
}
|
||||
|
||||
pub fn facets_distribution<'a>(&'a self, rtxn: &'a RoTxn) -> FacetDistribution<'a> {
|
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FacetDistribution::new(rtxn, self)
|
||||
}
|
||||
|
@ -1,20 +1,17 @@
|
||||
use std::fmt;
|
||||
use std::io::{BufWriter, Read, Seek};
|
||||
use std::result::Result as StdResult;
|
||||
use std::{fmt, iter};
|
||||
|
||||
use serde::{Deserialize, Serialize};
|
||||
use serde_json::Value;
|
||||
|
||||
use crate::documents::{DocumentsBatchIndex, DocumentsBatchReader, EnrichedDocumentsBatchReader};
|
||||
use crate::documents::{
|
||||
DocumentIdExtractionError, DocumentsBatchIndex, DocumentsBatchReader,
|
||||
EnrichedDocumentsBatchReader, PrimaryKey, DEFAULT_PRIMARY_KEY,
|
||||
};
|
||||
use crate::error::{GeoError, InternalError, UserError};
|
||||
use crate::update::index_documents::{obkv_to_object, writer_into_reader};
|
||||
use crate::{FieldId, Index, Object, Result};
|
||||
|
||||
/// The symbol used to define levels in a nested primary key.
|
||||
const PRIMARY_KEY_SPLIT_SYMBOL: char = '.';
|
||||
|
||||
/// The default primary that is used when not specified.
|
||||
const DEFAULT_PRIMARY_KEY: &str = "id";
|
||||
use crate::{FieldId, Index, Result};
|
||||
|
||||
/// This function validates and enrich the documents by checking that:
|
||||
/// - we can infer a primary key,
|
||||
@ -41,14 +38,12 @@ pub fn enrich_documents_batch<R: Read + Seek>(
|
||||
// The primary key *field id* that has already been set for this index or the one
|
||||
// we will guess by searching for the first key that contains "id" as a substring.
|
||||
let primary_key = match index.primary_key(rtxn)? {
|
||||
Some(primary_key) if primary_key.contains(PRIMARY_KEY_SPLIT_SYMBOL) => {
|
||||
PrimaryKey::nested(primary_key)
|
||||
}
|
||||
Some(primary_key) => match documents_batch_index.id(primary_key) {
|
||||
Some(id) => PrimaryKey::flat(primary_key, id),
|
||||
None if autogenerate_docids => {
|
||||
PrimaryKey::flat(primary_key, documents_batch_index.insert(primary_key))
|
||||
}
|
||||
Some(primary_key) => match PrimaryKey::new(primary_key, &documents_batch_index) {
|
||||
Some(primary_key) => primary_key,
|
||||
None if autogenerate_docids => PrimaryKey::Flat {
|
||||
name: primary_key,
|
||||
field_id: documents_batch_index.insert(primary_key),
|
||||
},
|
||||
None => {
|
||||
return match cursor.next_document()? {
|
||||
Some(first_document) => Ok(Err(UserError::MissingDocumentId {
|
||||
@ -76,14 +71,14 @@ pub fn enrich_documents_batch<R: Read + Seek>(
|
||||
});
|
||||
|
||||
match guesses.as_slice() {
|
||||
[] if autogenerate_docids => PrimaryKey::flat(
|
||||
DEFAULT_PRIMARY_KEY,
|
||||
documents_batch_index.insert(DEFAULT_PRIMARY_KEY),
|
||||
),
|
||||
[] if autogenerate_docids => PrimaryKey::Flat {
|
||||
name: DEFAULT_PRIMARY_KEY,
|
||||
field_id: documents_batch_index.insert(DEFAULT_PRIMARY_KEY),
|
||||
},
|
||||
[] => return Ok(Err(UserError::NoPrimaryKeyCandidateFound)),
|
||||
[(field_id, name)] => {
|
||||
log::info!("Primary key was not specified in index. Inferred to '{name}'");
|
||||
PrimaryKey::flat(name, *field_id)
|
||||
PrimaryKey::Flat { name, field_id: *field_id }
|
||||
}
|
||||
multiple => {
|
||||
return Ok(Err(UserError::MultiplePrimaryKeyCandidatesFound {
|
||||
@ -156,92 +151,24 @@ fn fetch_or_generate_document_id(
|
||||
uuid_buffer: &mut [u8; uuid::fmt::Hyphenated::LENGTH],
|
||||
count: u32,
|
||||
) -> Result<StdResult<DocumentId, UserError>> {
|
||||
match primary_key {
|
||||
PrimaryKey::Flat { name: primary_key, field_id: primary_key_id } => {
|
||||
match document.get(primary_key_id) {
|
||||
Some(document_id_bytes) => {
|
||||
let document_id = serde_json::from_slice(document_id_bytes)
|
||||
.map_err(InternalError::SerdeJson)?;
|
||||
match validate_document_id_value(document_id)? {
|
||||
Ok(document_id) => Ok(Ok(DocumentId::retrieved(document_id))),
|
||||
Err(user_error) => Ok(Err(user_error)),
|
||||
}
|
||||
}
|
||||
None if autogenerate_docids => {
|
||||
let uuid = uuid::Uuid::new_v4().as_hyphenated().encode_lower(uuid_buffer);
|
||||
Ok(Ok(DocumentId::generated(uuid.to_string(), count)))
|
||||
}
|
||||
None => Ok(Err(UserError::MissingDocumentId {
|
||||
primary_key: primary_key.to_string(),
|
||||
document: obkv_to_object(document, documents_batch_index)?,
|
||||
})),
|
||||
}
|
||||
Ok(match primary_key.document_id(document, documents_batch_index)? {
|
||||
Ok(document_id) => Ok(DocumentId::Retrieved { value: document_id }),
|
||||
Err(DocumentIdExtractionError::InvalidDocumentId(user_error)) => Err(user_error),
|
||||
Err(DocumentIdExtractionError::MissingDocumentId) if autogenerate_docids => {
|
||||
let uuid = uuid::Uuid::new_v4().as_hyphenated().encode_lower(uuid_buffer);
|
||||
Ok(DocumentId::Generated { value: uuid.to_string(), document_nth: count })
|
||||
}
|
||||
nested @ PrimaryKey::Nested { .. } => {
|
||||
let mut matching_documents_ids = Vec::new();
|
||||
for (first_level_name, right) in nested.possible_level_names() {
|
||||
if let Some(field_id) = documents_batch_index.id(first_level_name) {
|
||||
if let Some(value_bytes) = document.get(field_id) {
|
||||
let object = serde_json::from_slice(value_bytes)
|
||||
.map_err(InternalError::SerdeJson)?;
|
||||
fetch_matching_values(object, right, &mut matching_documents_ids);
|
||||
|
||||
if matching_documents_ids.len() >= 2 {
|
||||
return Ok(Err(UserError::TooManyDocumentIds {
|
||||
primary_key: nested.name().to_string(),
|
||||
document: obkv_to_object(document, documents_batch_index)?,
|
||||
}));
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
match matching_documents_ids.pop() {
|
||||
Some(document_id) => match validate_document_id_value(document_id)? {
|
||||
Ok(document_id) => Ok(Ok(DocumentId::retrieved(document_id))),
|
||||
Err(user_error) => Ok(Err(user_error)),
|
||||
},
|
||||
None => Ok(Err(UserError::MissingDocumentId {
|
||||
primary_key: nested.name().to_string(),
|
||||
document: obkv_to_object(document, documents_batch_index)?,
|
||||
})),
|
||||
}
|
||||
Err(DocumentIdExtractionError::MissingDocumentId) => Err(UserError::MissingDocumentId {
|
||||
primary_key: primary_key.name().to_string(),
|
||||
document: obkv_to_object(document, documents_batch_index)?,
|
||||
}),
|
||||
Err(DocumentIdExtractionError::TooManyDocumentIds(_)) => {
|
||||
Err(UserError::TooManyDocumentIds {
|
||||
primary_key: primary_key.name().to_string(),
|
||||
document: obkv_to_object(document, documents_batch_index)?,
|
||||
})
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/// A type that represent the type of primary key that has been set
|
||||
/// for this index, a classic flat one or a nested one.
|
||||
#[derive(Debug, Clone, Copy)]
|
||||
enum PrimaryKey<'a> {
|
||||
Flat { name: &'a str, field_id: FieldId },
|
||||
Nested { name: &'a str },
|
||||
}
|
||||
|
||||
impl PrimaryKey<'_> {
|
||||
fn flat(name: &str, field_id: FieldId) -> PrimaryKey {
|
||||
PrimaryKey::Flat { name, field_id }
|
||||
}
|
||||
|
||||
fn nested(name: &str) -> PrimaryKey {
|
||||
PrimaryKey::Nested { name }
|
||||
}
|
||||
|
||||
fn name(&self) -> &str {
|
||||
match self {
|
||||
PrimaryKey::Flat { name, .. } => name,
|
||||
PrimaryKey::Nested { name } => name,
|
||||
}
|
||||
}
|
||||
|
||||
/// Returns an `Iterator` that gives all the possible fields names the primary key
|
||||
/// can have depending of the first level name and deepnes of the objects.
|
||||
fn possible_level_names(&self) -> impl Iterator<Item = (&str, &str)> + '_ {
|
||||
let name = self.name();
|
||||
name.match_indices(PRIMARY_KEY_SPLIT_SYMBOL)
|
||||
.map(move |(i, _)| (&name[..i], &name[i + PRIMARY_KEY_SPLIT_SYMBOL.len_utf8()..]))
|
||||
.chain(iter::once((name, "")))
|
||||
}
|
||||
})
|
||||
}
|
||||
|
||||
/// A type that represents a document id that has been retrieved from a document or auto-generated.
|
||||
@ -255,14 +182,6 @@ pub enum DocumentId {
|
||||
}
|
||||
|
||||
impl DocumentId {
|
||||
fn retrieved(value: String) -> DocumentId {
|
||||
DocumentId::Retrieved { value }
|
||||
}
|
||||
|
||||
fn generated(value: String, document_nth: u32) -> DocumentId {
|
||||
DocumentId::Generated { value, document_nth }
|
||||
}
|
||||
|
||||
fn debug(&self) -> String {
|
||||
format!("{:?}", self)
|
||||
}
|
||||
@ -290,66 +209,6 @@ impl fmt::Debug for DocumentId {
|
||||
}
|
||||
}
|
||||
|
||||
fn starts_with(selector: &str, key: &str) -> bool {
|
||||
selector.strip_prefix(key).map_or(false, |tail| {
|
||||
tail.chars().next().map(|c| c == PRIMARY_KEY_SPLIT_SYMBOL).unwrap_or(true)
|
||||
})
|
||||
}
|
||||
|
||||
pub fn fetch_matching_values(value: Value, selector: &str, output: &mut Vec<Value>) {
|
||||
match value {
|
||||
Value::Object(object) => fetch_matching_values_in_object(object, selector, "", output),
|
||||
otherwise => output.push(otherwise),
|
||||
}
|
||||
}
|
||||
|
||||
pub fn fetch_matching_values_in_object(
|
||||
object: Object,
|
||||
selector: &str,
|
||||
base_key: &str,
|
||||
output: &mut Vec<Value>,
|
||||
) {
|
||||
for (key, value) in object {
|
||||
let base_key = if base_key.is_empty() {
|
||||
key.to_string()
|
||||
} else {
|
||||
format!("{}{}{}", base_key, PRIMARY_KEY_SPLIT_SYMBOL, key)
|
||||
};
|
||||
|
||||
if starts_with(selector, &base_key) {
|
||||
match value {
|
||||
Value::Object(object) => {
|
||||
fetch_matching_values_in_object(object, selector, &base_key, output)
|
||||
}
|
||||
value => output.push(value),
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
pub fn validate_document_id(document_id: &str) -> Option<&str> {
|
||||
if !document_id.is_empty()
|
||||
&& document_id.chars().all(|c| matches!(c, 'a'..='z' | 'A'..='Z' | '0'..='9' | '-' | '_'))
|
||||
{
|
||||
Some(document_id)
|
||||
} else {
|
||||
None
|
||||
}
|
||||
}
|
||||
|
||||
/// Parses a Json encoded document id and validate it, returning a user error when it is one.
|
||||
pub fn validate_document_id_value(document_id: Value) -> Result<StdResult<String, UserError>> {
|
||||
match document_id {
|
||||
Value::String(string) => match validate_document_id(&string) {
|
||||
Some(s) if s.len() == string.len() => Ok(Ok(string)),
|
||||
Some(s) => Ok(Ok(s.to_string())),
|
||||
None => Ok(Err(UserError::InvalidDocumentId { document_id: Value::String(string) })),
|
||||
},
|
||||
Value::Number(number) if number.is_i64() => Ok(Ok(number.to_string())),
|
||||
content => Ok(Err(UserError::InvalidDocumentId { document_id: content })),
|
||||
}
|
||||
}
|
||||
|
||||
/// Try to extract an `f64` from a JSON `Value` and return the `Value`
|
||||
/// in the `Err` variant if it failed.
|
||||
pub fn extract_finite_float_from_value(value: Value) -> StdResult<f64, Value> {
|
||||
|
@ -20,10 +20,7 @@ use slice_group_by::GroupBy;
|
||||
use typed_chunk::{write_typed_chunk_into_index, TypedChunk};
|
||||
|
||||
use self::enrich::enrich_documents_batch;
|
||||
pub use self::enrich::{
|
||||
extract_finite_float_from_value, validate_document_id, validate_document_id_value,
|
||||
validate_geo_from_json, DocumentId,
|
||||
};
|
||||
pub use self::enrich::{extract_finite_float_from_value, validate_geo_from_json, DocumentId};
|
||||
pub use self::helpers::{
|
||||
as_cloneable_grenad, create_sorter, create_writer, fst_stream_into_hashset,
|
||||
fst_stream_into_vec, merge_btreeset_string, merge_cbo_roaring_bitmaps, merge_roaring_bitmaps,
|
||||
@ -197,6 +194,39 @@ where
|
||||
Ok((self, Ok(deleted_documents)))
|
||||
}
|
||||
|
||||
/// Removes documents from db using their internal document ids.
|
||||
///
|
||||
/// # Warning
|
||||
///
|
||||
/// This function is dangerous and will only work correctly if:
|
||||
///
|
||||
/// - All the passed ids currently exist in the database
|
||||
/// - No batching using the standards `remove_documents` and `add_documents` took place
|
||||
///
|
||||
/// TODO: make it impossible to call `remove_documents` or `add_documents` on an instance that calls this function.
|
||||
pub fn remove_documents_from_db_no_batch(
|
||||
mut self,
|
||||
to_delete: &RoaringBitmap,
|
||||
) -> Result<(Self, u64)> {
|
||||
puffin::profile_function!();
|
||||
|
||||
// Early return when there is no document to add
|
||||
if to_delete.is_empty() {
|
||||
return Ok((self, 0));
|
||||
}
|
||||
|
||||
let deleted_documents = self
|
||||
.transform
|
||||
.as_mut()
|
||||
.expect("Invalid document deletion state")
|
||||
.remove_documents_from_db_no_batch(to_delete, self.wtxn, &self.should_abort)?
|
||||
as u64;
|
||||
|
||||
self.deleted_documents += deleted_documents;
|
||||
|
||||
Ok((self, deleted_documents))
|
||||
}
|
||||
|
||||
#[logging_timer::time("IndexDocuments::{}")]
|
||||
pub fn execute(mut self) -> Result<DocumentAdditionResult> {
|
||||
puffin::profile_function!();
|
||||
|
@ -421,52 +421,13 @@ impl<'a, 'i> Transform<'a, 'i> {
|
||||
// Then we push the document in sorters in deletion mode.
|
||||
let deleted_from_db = match external_documents_ids.get(wtxn, &to_remove)? {
|
||||
Some(docid) => {
|
||||
self.replaced_documents_ids.insert(docid);
|
||||
|
||||
// fetch the obkv document
|
||||
let original_key = BEU32::new(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,
|
||||
})?;
|
||||
|
||||
// Key is the concatenation of the internal docid and the external one.
|
||||
document_sorter_key_buffer.clear();
|
||||
document_sorter_key_buffer.extend_from_slice(&docid.to_be_bytes());
|
||||
document_sorter_key_buffer.extend_from_slice(to_remove.as_bytes());
|
||||
// push it as to delete in the original_sorter
|
||||
document_sorter_value_buffer.clear();
|
||||
document_sorter_value_buffer.push(Operation::Deletion as u8);
|
||||
into_del_add_obkv(
|
||||
KvReaderU16::new(base_obkv),
|
||||
true,
|
||||
false,
|
||||
self.remove_document_from_db(
|
||||
docid,
|
||||
to_remove,
|
||||
wtxn,
|
||||
&mut document_sorter_key_buffer,
|
||||
&mut document_sorter_value_buffer,
|
||||
)?;
|
||||
self.original_sorter
|
||||
.insert(&document_sorter_key_buffer, &document_sorter_value_buffer)?;
|
||||
|
||||
// flatten it and push it as to delete in the flattened_sorter
|
||||
let flattened_obkv = KvReader::new(base_obkv);
|
||||
if let Some(obkv) = self.flatten_from_fields_ids_map(flattened_obkv)? {
|
||||
// we recreate our buffer with the flattened documents
|
||||
document_sorter_value_buffer.clear();
|
||||
document_sorter_value_buffer.push(Operation::Deletion as u8);
|
||||
into_del_add_obkv(
|
||||
KvReaderU16::new(&obkv),
|
||||
true,
|
||||
false,
|
||||
&mut document_sorter_value_buffer,
|
||||
)?;
|
||||
}
|
||||
self.flattened_sorter
|
||||
.insert(docid.to_be_bytes(), &document_sorter_value_buffer)?;
|
||||
|
||||
true
|
||||
}
|
||||
None => false,
|
||||
@ -481,6 +442,97 @@ impl<'a, 'i> Transform<'a, 'i> {
|
||||
Ok(documents_deleted)
|
||||
}
|
||||
|
||||
/// Removes documents from db using their internal document ids.
|
||||
///
|
||||
/// # Warning
|
||||
///
|
||||
/// This function is dangerous and will only work correctly if:
|
||||
///
|
||||
/// - All the passed ids currently exist in the database
|
||||
/// - No batching using the standards `remove_documents` and `add_documents` took place
|
||||
///
|
||||
/// TODO: make it impossible to call `remove_documents` or `add_documents` on an instance that calls this function.
|
||||
#[logging_timer::time]
|
||||
pub fn remove_documents_from_db_no_batch<FA>(
|
||||
&mut self,
|
||||
to_remove: &RoaringBitmap,
|
||||
wtxn: &mut heed::RwTxn,
|
||||
should_abort: FA,
|
||||
) -> Result<usize>
|
||||
where
|
||||
FA: Fn() -> bool + Sync,
|
||||
{
|
||||
puffin::profile_function!();
|
||||
|
||||
let mut documents_deleted = 0;
|
||||
let mut document_sorter_value_buffer = Vec::new();
|
||||
let mut document_sorter_key_buffer = Vec::new();
|
||||
let external_ids = self.index.external_id_of(wtxn, to_remove.iter())?;
|
||||
|
||||
for (internal_docid, external_docid) in to_remove.iter().zip(external_ids) {
|
||||
let external_docid = external_docid?;
|
||||
if should_abort() {
|
||||
return Err(Error::InternalError(InternalError::AbortedIndexation));
|
||||
}
|
||||
self.remove_document_from_db(
|
||||
internal_docid,
|
||||
external_docid,
|
||||
wtxn,
|
||||
&mut document_sorter_key_buffer,
|
||||
&mut document_sorter_value_buffer,
|
||||
)?;
|
||||
|
||||
documents_deleted += 1;
|
||||
}
|
||||
|
||||
Ok(documents_deleted)
|
||||
}
|
||||
|
||||
fn remove_document_from_db(
|
||||
&mut self,
|
||||
internal_docid: u32,
|
||||
external_docid: String,
|
||||
txn: &heed::RoTxn,
|
||||
document_sorter_key_buffer: &mut Vec<u8>,
|
||||
document_sorter_value_buffer: &mut Vec<u8>,
|
||||
) -> Result<()> {
|
||||
self.replaced_documents_ids.insert(internal_docid);
|
||||
|
||||
// fetch the obkv document
|
||||
let original_key = BEU32::new(internal_docid);
|
||||
let base_obkv = self
|
||||
.index
|
||||
.documents
|
||||
.remap_data_type::<heed::types::ByteSlice>()
|
||||
.get(txn, &original_key)?
|
||||
.ok_or(InternalError::DatabaseMissingEntry {
|
||||
db_name: db_name::DOCUMENTS,
|
||||
key: None,
|
||||
})?;
|
||||
|
||||
// Key is the concatenation of the internal docid and the external one.
|
||||
document_sorter_key_buffer.clear();
|
||||
document_sorter_key_buffer.extend_from_slice(&internal_docid.to_be_bytes());
|
||||
document_sorter_key_buffer.extend_from_slice(external_docid.as_bytes());
|
||||
// push it as to delete in the original_sorter
|
||||
document_sorter_value_buffer.clear();
|
||||
document_sorter_value_buffer.push(Operation::Deletion as u8);
|
||||
into_del_add_obkv(KvReaderU16::new(base_obkv), true, false, document_sorter_value_buffer)?;
|
||||
self.original_sorter.insert(&document_sorter_key_buffer, &document_sorter_value_buffer)?;
|
||||
|
||||
// flatten it and push it as to delete in the flattened_sorter
|
||||
let flattened_obkv = KvReader::new(base_obkv);
|
||||
if let Some(obkv) = self.flatten_from_fields_ids_map(flattened_obkv)? {
|
||||
// we recreate our buffer with the flattened documents
|
||||
document_sorter_value_buffer.clear();
|
||||
document_sorter_value_buffer.push(Operation::Deletion as u8);
|
||||
into_del_add_obkv(KvReaderU16::new(&obkv), true, false, document_sorter_value_buffer)?;
|
||||
}
|
||||
self.flattened_sorter
|
||||
.insert(internal_docid.to_be_bytes(), &document_sorter_value_buffer)?;
|
||||
Ok(())
|
||||
}
|
||||
|
||||
// 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>>> {
|
||||
|
Loading…
Reference in New Issue
Block a user