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https://github.com/meilisearch/MeiliSearch
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Enrich uses the new type
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parent
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commit
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@ -1,20 +1,17 @@
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use std::fmt;
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use std::io::{BufWriter, Read, Seek};
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use std::io::{BufWriter, Read, Seek};
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use std::result::Result as StdResult;
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use std::result::Result as StdResult;
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use std::{fmt, iter};
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use serde::{Deserialize, Serialize};
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use serde::{Deserialize, Serialize};
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use serde_json::Value;
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use serde_json::Value;
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use crate::documents::{DocumentsBatchIndex, DocumentsBatchReader, EnrichedDocumentsBatchReader};
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use crate::documents::{
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DocumentIdExtractionError, DocumentsBatchIndex, DocumentsBatchReader,
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EnrichedDocumentsBatchReader, PrimaryKey, DEFAULT_PRIMARY_KEY,
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};
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use crate::error::{GeoError, InternalError, UserError};
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use crate::error::{GeoError, InternalError, UserError};
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use crate::update::index_documents::{obkv_to_object, writer_into_reader};
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use crate::update::index_documents::{obkv_to_object, writer_into_reader};
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use crate::{FieldId, Index, Object, Result};
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use crate::{FieldId, Index, Result};
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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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const DEFAULT_PRIMARY_KEY: &str = "id";
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/// This function validates and enrich the documents by checking that:
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/// This function validates and enrich the documents by checking that:
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/// - we can infer a primary key,
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/// - we can infer a primary key,
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@ -41,14 +38,12 @@ pub fn enrich_documents_batch<R: Read + Seek>(
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// The primary key *field id* that has already been set for this index or the one
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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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// we will guess by searching for the first key that contains "id" as a substring.
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let primary_key = match index.primary_key(rtxn)? {
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let primary_key = match index.primary_key(rtxn)? {
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Some(primary_key) if primary_key.contains(PRIMARY_KEY_SPLIT_SYMBOL) => {
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Some(primary_key) => match PrimaryKey::new(primary_key, &documents_batch_index) {
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PrimaryKey::nested(primary_key)
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Some(primary_key) => primary_key,
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}
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None if autogenerate_docids => PrimaryKey::Flat {
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Some(primary_key) => match documents_batch_index.id(primary_key) {
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name: primary_key,
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Some(id) => PrimaryKey::flat(primary_key, id),
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field_id: documents_batch_index.insert(primary_key),
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None if autogenerate_docids => {
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},
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PrimaryKey::flat(primary_key, documents_batch_index.insert(primary_key))
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}
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None => {
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None => {
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return match cursor.next_document()? {
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return match cursor.next_document()? {
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Some(first_document) => Ok(Err(UserError::MissingDocumentId {
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Some(first_document) => Ok(Err(UserError::MissingDocumentId {
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@ -76,14 +71,14 @@ pub fn enrich_documents_batch<R: Read + Seek>(
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});
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});
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match guesses.as_slice() {
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match guesses.as_slice() {
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[] if autogenerate_docids => PrimaryKey::flat(
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[] if autogenerate_docids => PrimaryKey::Flat {
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DEFAULT_PRIMARY_KEY,
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name: DEFAULT_PRIMARY_KEY,
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documents_batch_index.insert(DEFAULT_PRIMARY_KEY),
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field_id: documents_batch_index.insert(DEFAULT_PRIMARY_KEY),
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),
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},
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[] => return Ok(Err(UserError::NoPrimaryKeyCandidateFound)),
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[] => return Ok(Err(UserError::NoPrimaryKeyCandidateFound)),
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[(field_id, name)] => {
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[(field_id, name)] => {
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log::info!("Primary key was not specified in index. Inferred to '{name}'");
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log::info!("Primary key was not specified in index. Inferred to '{name}'");
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PrimaryKey::flat(name, *field_id)
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PrimaryKey::Flat { name, field_id: *field_id }
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}
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}
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multiple => {
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multiple => {
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return Ok(Err(UserError::MultiplePrimaryKeyCandidatesFound {
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return Ok(Err(UserError::MultiplePrimaryKeyCandidatesFound {
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@ -156,92 +151,24 @@ fn fetch_or_generate_document_id(
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uuid_buffer: &mut [u8; uuid::fmt::Hyphenated::LENGTH],
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uuid_buffer: &mut [u8; uuid::fmt::Hyphenated::LENGTH],
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count: u32,
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count: u32,
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) -> Result<StdResult<DocumentId, UserError>> {
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) -> Result<StdResult<DocumentId, UserError>> {
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match primary_key {
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Ok(match primary_key.document_id(document, documents_batch_index)? {
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PrimaryKey::Flat { name: primary_key, field_id: primary_key_id } => {
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Ok(document_id) => Ok(DocumentId::Retrieved { value: document_id }),
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match document.get(primary_key_id) {
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Err(DocumentIdExtractionError::InvalidDocumentId(user_error)) => Err(user_error),
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Some(document_id_bytes) => {
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Err(DocumentIdExtractionError::MissingDocumentId) if autogenerate_docids => {
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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(DocumentId::retrieved(document_id))),
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Err(user_error) => Ok(Err(user_error)),
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}
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}
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None if autogenerate_docids => {
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let uuid = uuid::Uuid::new_v4().as_hyphenated().encode_lower(uuid_buffer);
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let uuid = uuid::Uuid::new_v4().as_hyphenated().encode_lower(uuid_buffer);
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Ok(Ok(DocumentId::generated(uuid.to_string(), count)))
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Ok(DocumentId::Generated { value: uuid.to_string(), document_nth: count })
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}
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}
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None => Ok(Err(UserError::MissingDocumentId {
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Err(DocumentIdExtractionError::MissingDocumentId) => Err(UserError::MissingDocumentId {
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primary_key: primary_key.to_string(),
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primary_key: primary_key.name().to_string(),
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document: obkv_to_object(document, documents_batch_index)?,
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document: obkv_to_object(document, documents_batch_index)?,
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})),
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}),
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}
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Err(DocumentIdExtractionError::TooManyDocumentIds(_)) => {
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}
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Err(UserError::TooManyDocumentIds {
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nested @ PrimaryKey::Nested { .. } => {
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primary_key: primary_key.name().to_string(),
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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) = documents_batch_index.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(UserError::TooManyDocumentIds {
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primary_key: nested.name().to_string(),
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document: obkv_to_object(document, documents_batch_index)?,
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document: obkv_to_object(document, documents_batch_index)?,
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}));
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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(DocumentId::retrieved(document_id))),
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Err(user_error) => Ok(Err(user_error)),
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},
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None => Ok(Err(UserError::MissingDocumentId {
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primary_key: nested.name().to_string(),
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document: obkv_to_object(document, documents_batch_index)?,
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})),
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}
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}
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}
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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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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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impl PrimaryKey<'_> {
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fn flat(name: &str, field_id: FieldId) -> PrimaryKey {
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PrimaryKey::Flat { name, field_id }
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}
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fn nested(name: &str) -> PrimaryKey {
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PrimaryKey::Nested { name }
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}
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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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/// 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 deepnes of the objects.
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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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})
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}
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}
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/// A type that represents a document id that has been retrieved from a document or auto-generated.
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/// A type that represents a document id that has been retrieved from a document or auto-generated.
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@ -255,14 +182,6 @@ pub enum DocumentId {
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}
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}
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impl DocumentId {
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impl DocumentId {
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fn retrieved(value: String) -> DocumentId {
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DocumentId::Retrieved { value }
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}
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fn generated(value: String, document_nth: u32) -> DocumentId {
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DocumentId::Generated { value, document_nth }
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}
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fn debug(&self) -> String {
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fn debug(&self) -> String {
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format!("{:?}", self)
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format!("{:?}", self)
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}
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}
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@ -290,66 +209,6 @@ impl fmt::Debug for DocumentId {
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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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pub 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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pub 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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pub 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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/// Parses a Json encoded document id and validate it, returning a user error when it is one.
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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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}
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/// Try to extract an `f64` from a JSON `Value` and return the `Value`
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/// Try to extract an `f64` from a JSON `Value` and return the `Value`
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/// in the `Err` variant if it failed.
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/// in the `Err` variant if it failed.
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pub fn extract_finite_float_from_value(value: Value) -> StdResult<f64, Value> {
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pub fn extract_finite_float_from_value(value: Value) -> StdResult<f64, Value> {
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@ -20,10 +20,7 @@ use slice_group_by::GroupBy;
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use typed_chunk::{write_typed_chunk_into_index, TypedChunk};
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use typed_chunk::{write_typed_chunk_into_index, TypedChunk};
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use self::enrich::enrich_documents_batch;
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use self::enrich::enrich_documents_batch;
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pub use self::enrich::{
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pub use self::enrich::{extract_finite_float_from_value, validate_geo_from_json, DocumentId};
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extract_finite_float_from_value, validate_document_id, validate_document_id_value,
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validate_geo_from_json, DocumentId,
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};
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pub use self::helpers::{
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pub use self::helpers::{
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as_cloneable_grenad, create_sorter, create_writer, fst_stream_into_hashset,
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as_cloneable_grenad, create_sorter, create_writer, fst_stream_into_hashset,
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fst_stream_into_vec, merge_btreeset_string, merge_cbo_roaring_bitmaps, merge_roaring_bitmaps,
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fst_stream_into_vec, merge_btreeset_string, merge_cbo_roaring_bitmaps, merge_roaring_bitmaps,
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