mirror of
https://github.com/meilisearch/meilisearch.git
synced 2024-11-26 03:55:07 +08:00
Merge #3811
3811: Bring back changes from `release-v1.2.0` to `main` r=Kerollmops a=curquiza Co-authored-by: Loïc Lecrenier <loic.lecrenier@me.com> Co-authored-by: meili-bors[bot] <89034592+meili-bors[bot]@users.noreply.github.com> Co-authored-by: Tamo <tamo@meilisearch.com> Co-authored-by: Filip Bachul <filipbachul@gmail.com> Co-authored-by: Kerollmops <clement@meilisearch.com> Co-authored-by: ManyTheFish <many@meilisearch.com> Co-authored-by: Clément Renault <clement@meilisearch.com>
This commit is contained in:
commit
c1e3cc04b0
6
Cargo.lock
generated
6
Cargo.lock
generated
@ -1794,7 +1794,7 @@ checksum = "95505c38b4572b2d910cecb0281560f54b440a19336cbbcb27bf6ce6adc6f5a8"
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[[package]]
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name = "heed"
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version = "0.12.5"
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source = "git+https://github.com/meilisearch/heed?tag=v0.12.5#4158a6c484752afaaf9e2530a6ee0e7ab0f24ee8"
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source = "git+https://github.com/meilisearch/heed?tag=v0.12.6#8c5b94225fc949c02bb7b900cc50ffaf6b584b1e"
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dependencies = [
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"byteorder",
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"heed-traits",
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@ -1811,12 +1811,12 @@ dependencies = [
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[[package]]
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name = "heed-traits"
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version = "0.7.0"
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source = "git+https://github.com/meilisearch/heed?tag=v0.12.5#4158a6c484752afaaf9e2530a6ee0e7ab0f24ee8"
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source = "git+https://github.com/meilisearch/heed?tag=v0.12.6#8c5b94225fc949c02bb7b900cc50ffaf6b584b1e"
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[[package]]
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name = "heed-types"
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version = "0.7.2"
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source = "git+https://github.com/meilisearch/heed?tag=v0.12.5#4158a6c484752afaaf9e2530a6ee0e7ab0f24ee8"
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source = "git+https://github.com/meilisearch/heed?tag=v0.12.6#8c5b94225fc949c02bb7b900cc50ffaf6b584b1e"
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dependencies = [
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"bincode",
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"heed-traits",
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|
@ -126,3 +126,6 @@ ssl_tickets = false
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# Experimental metrics feature. For more information, see: <https://github.com/meilisearch/meilisearch/discussions/3518>
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# Enables the Prometheus metrics on the `GET /metrics` endpoint.
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experimental_enable_metrics = false
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# Experimental RAM reduction during indexing, do not use in production, see: <https://github.com/meilisearch/product/discussions/652>
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experimental_reduce_indexing_memory_usage = false
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@ -24,6 +24,7 @@ use std::io::BufWriter;
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use dump::IndexMetadata;
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use log::{debug, error, info};
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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};
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use meilisearch_types::milli::heed::CompactionOption;
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@ -1491,7 +1492,12 @@ fn delete_document_by_filter(filter: &serde_json::Value, index: Index) -> Result
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Ok(if let Some(filter) = filter {
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let mut wtxn = index.write_txn()?;
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let candidates = filter.evaluate(&wtxn, &index)?;
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let candidates = filter.evaluate(&wtxn, &index).map_err(|err| match err {
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milli::Error::UserError(milli::UserError::InvalidFilter(_)) => {
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Error::from(err).with_custom_error_code(Code::InvalidDocumentFilter)
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}
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e => e.into(),
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})?;
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let mut delete_operation = DeleteDocuments::new(&mut wtxn, &index)?;
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delete_operation.delete_documents(&candidates);
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let deleted_documents =
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@ -46,6 +46,8 @@ impl From<DateField> for Code {
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#[allow(clippy::large_enum_variant)]
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#[derive(Error, Debug)]
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pub enum Error {
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#[error("{1}")]
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WithCustomErrorCode(Code, Box<Self>),
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#[error("Index `{0}` not found.")]
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IndexNotFound(String),
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#[error("Index `{0}` already exists.")]
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@ -144,6 +146,7 @@ impl Error {
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pub fn is_recoverable(&self) -> bool {
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match self {
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Error::IndexNotFound(_)
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| Error::WithCustomErrorCode(_, _)
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| Error::IndexAlreadyExists(_)
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| Error::SwapDuplicateIndexFound(_)
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| Error::SwapDuplicateIndexesFound(_)
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@ -176,11 +179,16 @@ impl Error {
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Error::PlannedFailure => false,
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}
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}
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pub fn with_custom_error_code(self, code: Code) -> Self {
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Self::WithCustomErrorCode(code, Box::new(self))
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}
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}
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impl ErrorCode for Error {
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fn error_code(&self) -> Code {
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match self {
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Error::WithCustomErrorCode(code, _) => *code,
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Error::IndexNotFound(_) => Code::IndexNotFound,
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Error::IndexAlreadyExists(_) => Code::IndexAlreadyExists,
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Error::SwapDuplicateIndexesFound(_) => Code::InvalidSwapDuplicateIndexFound,
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|
@ -5,6 +5,7 @@ use std::collections::BTreeMap;
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use std::path::Path;
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use std::time::Duration;
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use meilisearch_types::heed::flags::Flags;
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use meilisearch_types::heed::{EnvClosingEvent, EnvOpenOptions};
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use meilisearch_types::milli::Index;
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use time::OffsetDateTime;
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@ -53,6 +54,7 @@ pub struct IndexMap {
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pub struct ClosingIndex {
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uuid: Uuid,
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closing_event: EnvClosingEvent,
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enable_mdb_writemap: bool,
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map_size: usize,
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generation: usize,
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}
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@ -68,6 +70,7 @@ impl ClosingIndex {
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pub fn wait_timeout(self, timeout: Duration) -> Option<ReopenableIndex> {
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self.closing_event.wait_timeout(timeout).then_some(ReopenableIndex {
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uuid: self.uuid,
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enable_mdb_writemap: self.enable_mdb_writemap,
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map_size: self.map_size,
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generation: self.generation,
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})
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@ -76,6 +79,7 @@ impl ClosingIndex {
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pub struct ReopenableIndex {
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uuid: Uuid,
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enable_mdb_writemap: bool,
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map_size: usize,
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generation: usize,
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}
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@ -103,7 +107,7 @@ impl ReopenableIndex {
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return Ok(());
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}
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map.unavailable.remove(&self.uuid);
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map.create(&self.uuid, path, None, self.map_size)?;
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map.create(&self.uuid, path, None, self.enable_mdb_writemap, self.map_size)?;
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}
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Ok(())
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}
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@ -170,16 +174,17 @@ impl IndexMap {
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uuid: &Uuid,
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path: &Path,
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date: Option<(OffsetDateTime, OffsetDateTime)>,
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enable_mdb_writemap: bool,
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map_size: usize,
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) -> Result<Index> {
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if !matches!(self.get_unavailable(uuid), Missing) {
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panic!("Attempt to open an index that was unavailable");
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}
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let index = create_or_open_index(path, date, map_size)?;
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let index = create_or_open_index(path, date, enable_mdb_writemap, map_size)?;
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match self.available.insert(*uuid, index.clone()) {
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InsertionOutcome::InsertedNew => (),
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InsertionOutcome::Evicted(evicted_uuid, evicted_index) => {
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self.close(evicted_uuid, evicted_index, 0);
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self.close(evicted_uuid, evicted_index, enable_mdb_writemap, 0);
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}
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InsertionOutcome::Replaced(_) => {
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panic!("Attempt to open an index that was already opened")
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@ -212,17 +217,30 @@ impl IndexMap {
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/// | Closing | Closing |
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/// | Available | Closing |
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///
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pub fn close_for_resize(&mut self, uuid: &Uuid, map_size_growth: usize) {
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pub fn close_for_resize(
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&mut self,
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uuid: &Uuid,
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enable_mdb_writemap: bool,
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map_size_growth: usize,
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) {
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let Some(index) = self.available.remove(uuid) else { return; };
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self.close(*uuid, index, map_size_growth);
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self.close(*uuid, index, enable_mdb_writemap, map_size_growth);
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}
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fn close(&mut self, uuid: Uuid, index: Index, map_size_growth: usize) {
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fn close(
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&mut self,
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uuid: Uuid,
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index: Index,
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enable_mdb_writemap: bool,
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map_size_growth: usize,
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) {
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let map_size = index.map_size().unwrap_or(DEFAULT_MAP_SIZE) + map_size_growth;
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let closing_event = index.prepare_for_closing();
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let generation = self.next_generation();
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self.unavailable
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.insert(uuid, Some(ClosingIndex { uuid, closing_event, map_size, generation }));
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self.unavailable.insert(
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uuid,
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Some(ClosingIndex { uuid, closing_event, enable_mdb_writemap, map_size, generation }),
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);
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}
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/// Attempts to delete and index.
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@ -282,11 +300,15 @@ impl IndexMap {
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fn create_or_open_index(
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path: &Path,
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date: Option<(OffsetDateTime, OffsetDateTime)>,
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enable_mdb_writemap: bool,
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map_size: usize,
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) -> Result<Index> {
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let mut options = EnvOpenOptions::new();
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options.map_size(clamp_to_page_size(map_size));
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options.max_readers(1024);
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if enable_mdb_writemap {
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unsafe { options.flag(Flags::MdbWriteMap) };
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}
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if let Some((created, updated)) = date {
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Ok(Index::new_with_creation_dates(options, path, created, updated)?)
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|
@ -66,6 +66,8 @@ pub struct IndexMapper {
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index_base_map_size: usize,
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/// The quantity by which the map size of an index is incremented upon reopening, in bytes.
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index_growth_amount: usize,
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/// Whether we open a meilisearch index with the MDB_WRITEMAP option or not.
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enable_mdb_writemap: bool,
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pub indexer_config: Arc<IndexerConfig>,
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}
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@ -132,15 +134,22 @@ impl IndexMapper {
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index_base_map_size: usize,
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index_growth_amount: usize,
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index_count: usize,
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enable_mdb_writemap: bool,
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indexer_config: IndexerConfig,
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) -> Result<Self> {
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let mut wtxn = env.write_txn()?;
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let index_mapping = env.create_database(&mut wtxn, Some(INDEX_MAPPING))?;
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let index_stats = env.create_database(&mut wtxn, Some(INDEX_STATS))?;
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wtxn.commit()?;
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Ok(Self {
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index_map: Arc::new(RwLock::new(IndexMap::new(index_count))),
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index_mapping: env.create_database(Some(INDEX_MAPPING))?,
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index_stats: env.create_database(Some(INDEX_STATS))?,
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index_mapping,
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index_stats,
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base_path,
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index_base_map_size,
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index_growth_amount,
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enable_mdb_writemap,
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indexer_config: Arc::new(indexer_config),
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})
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}
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@ -171,6 +180,7 @@ impl IndexMapper {
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&uuid,
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&index_path,
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date,
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self.enable_mdb_writemap,
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self.index_base_map_size,
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)?;
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@ -282,7 +292,11 @@ impl IndexMapper {
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.ok_or_else(|| Error::IndexNotFound(name.to_string()))?;
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// We remove the index from the in-memory index map.
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self.index_map.write().unwrap().close_for_resize(&uuid, self.index_growth_amount);
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self.index_map.write().unwrap().close_for_resize(
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&uuid,
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self.enable_mdb_writemap,
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self.index_growth_amount,
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);
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Ok(())
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}
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@ -347,6 +361,7 @@ impl IndexMapper {
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&uuid,
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&index_path,
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None,
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self.enable_mdb_writemap,
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self.index_base_map_size,
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)?;
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}
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|
@ -233,6 +233,8 @@ pub struct IndexSchedulerOptions {
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pub task_db_size: usize,
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/// The size, in bytes, with which a meilisearch index is opened the first time of each meilisearch index.
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pub index_base_map_size: usize,
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/// Whether we open a meilisearch index with the MDB_WRITEMAP option or not.
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pub enable_mdb_writemap: bool,
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/// The size, in bytes, by which the map size of an index is increased when it resized due to being full.
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pub index_growth_amount: usize,
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/// The number of indexes that can be concurrently opened in memory.
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@ -374,6 +376,11 @@ impl IndexScheduler {
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std::fs::create_dir_all(&options.indexes_path)?;
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std::fs::create_dir_all(&options.dumps_path)?;
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if cfg!(windows) && options.enable_mdb_writemap {
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// programmer error if this happens: in normal use passing the option on Windows is an error in main
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panic!("Windows doesn't support the MDB_WRITEMAP LMDB option");
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}
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let task_db_size = clamp_to_page_size(options.task_db_size);
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let budget = if options.indexer_config.skip_index_budget {
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IndexBudget {
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@ -396,25 +403,37 @@ impl IndexScheduler {
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.open(options.tasks_path)?;
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let file_store = FileStore::new(&options.update_file_path)?;
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|
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let mut wtxn = env.write_txn()?;
|
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let all_tasks = env.create_database(&mut wtxn, Some(db_name::ALL_TASKS))?;
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let status = env.create_database(&mut wtxn, Some(db_name::STATUS))?;
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let kind = env.create_database(&mut wtxn, Some(db_name::KIND))?;
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let index_tasks = env.create_database(&mut wtxn, Some(db_name::INDEX_TASKS))?;
|
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let canceled_by = env.create_database(&mut wtxn, Some(db_name::CANCELED_BY))?;
|
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let enqueued_at = env.create_database(&mut wtxn, Some(db_name::ENQUEUED_AT))?;
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let started_at = env.create_database(&mut wtxn, Some(db_name::STARTED_AT))?;
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let finished_at = env.create_database(&mut wtxn, Some(db_name::FINISHED_AT))?;
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wtxn.commit()?;
|
||||
|
||||
// allow unreachable_code to get rids of the warning in the case of a test build.
|
||||
let this = Self {
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must_stop_processing: MustStopProcessing::default(),
|
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processing_tasks: Arc::new(RwLock::new(ProcessingTasks::new())),
|
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file_store,
|
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all_tasks: env.create_database(Some(db_name::ALL_TASKS))?,
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status: env.create_database(Some(db_name::STATUS))?,
|
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kind: env.create_database(Some(db_name::KIND))?,
|
||||
index_tasks: env.create_database(Some(db_name::INDEX_TASKS))?,
|
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canceled_by: env.create_database(Some(db_name::CANCELED_BY))?,
|
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enqueued_at: env.create_database(Some(db_name::ENQUEUED_AT))?,
|
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started_at: env.create_database(Some(db_name::STARTED_AT))?,
|
||||
finished_at: env.create_database(Some(db_name::FINISHED_AT))?,
|
||||
all_tasks,
|
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status,
|
||||
kind,
|
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index_tasks,
|
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canceled_by,
|
||||
enqueued_at,
|
||||
started_at,
|
||||
finished_at,
|
||||
index_mapper: IndexMapper::new(
|
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&env,
|
||||
options.indexes_path,
|
||||
budget.map_size,
|
||||
options.index_growth_amount,
|
||||
budget.index_count,
|
||||
options.enable_mdb_writemap,
|
||||
options.indexer_config,
|
||||
)?,
|
||||
env,
|
||||
@ -1509,6 +1528,7 @@ mod tests {
|
||||
dumps_path: tempdir.path().join("dumps"),
|
||||
task_db_size: 1000 * 1000, // 1 MB, we don't use MiB on purpose.
|
||||
index_base_map_size: 1000 * 1000, // 1 MB, we don't use MiB on purpose.
|
||||
enable_mdb_writemap: false,
|
||||
index_growth_amount: 1000 * 1000, // 1 MB
|
||||
index_count: 5,
|
||||
indexer_config,
|
||||
|
@ -466,7 +466,7 @@ impl IndexScheduler {
|
||||
}
|
||||
}
|
||||
Details::DocumentDeletionByFilter { deleted_documents, original_filter: _ } => {
|
||||
assert_eq!(kind.as_kind(), Kind::DocumentDeletionByFilter);
|
||||
assert_eq!(kind.as_kind(), Kind::DocumentDeletion);
|
||||
let (index_uid, _) = if let KindWithContent::DocumentDeletionByFilter {
|
||||
ref index_uid,
|
||||
ref filter_expr,
|
||||
|
@ -55,9 +55,11 @@ impl HeedAuthStore {
|
||||
let path = path.as_ref().join(AUTH_DB_PATH);
|
||||
create_dir_all(&path)?;
|
||||
let env = Arc::new(open_auth_store_env(path.as_ref())?);
|
||||
let keys = env.create_database(Some(KEY_DB_NAME))?;
|
||||
let mut wtxn = env.write_txn()?;
|
||||
let keys = env.create_database(&mut wtxn, Some(KEY_DB_NAME))?;
|
||||
let action_keyid_index_expiration =
|
||||
env.create_database(Some(KEY_ID_ACTION_INDEX_EXPIRATION_DB_NAME))?;
|
||||
env.create_database(&mut wtxn, Some(KEY_ID_ACTION_INDEX_EXPIRATION_DB_NAME))?;
|
||||
wtxn.commit()?;
|
||||
Ok(Self { env, keys, action_keyid_index_expiration, should_close_on_drop: true })
|
||||
}
|
||||
|
||||
|
@ -150,6 +150,7 @@ make_missing_field_convenience_builder!(MissingApiKeyActions, missing_api_key_ac
|
||||
make_missing_field_convenience_builder!(MissingApiKeyExpiresAt, missing_api_key_expires_at);
|
||||
make_missing_field_convenience_builder!(MissingApiKeyIndexes, missing_api_key_indexes);
|
||||
make_missing_field_convenience_builder!(MissingSwapIndexes, missing_swap_indexes);
|
||||
make_missing_field_convenience_builder!(MissingDocumentFilter, missing_document_filter);
|
||||
|
||||
// Integrate a sub-error into a [`DeserrError`] by taking its error message but using
|
||||
// the default error code (C) from `Self`
|
||||
|
@ -214,12 +214,12 @@ InvalidApiKeyUid , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidContentType , InvalidRequest , UNSUPPORTED_MEDIA_TYPE ;
|
||||
InvalidDocumentCsvDelimiter , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidDocumentFields , InvalidRequest , BAD_REQUEST ;
|
||||
MissingDocumentFilter , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidDocumentFilter , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidDocumentGeoField , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidDocumentId , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidDocumentLimit , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidDocumentOffset , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidDocumentDeleteFilter , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidIndexLimit , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidIndexOffset , InvalidRequest , BAD_REQUEST ;
|
||||
InvalidIndexPrimaryKey , InvalidRequest , BAD_REQUEST ;
|
||||
|
@ -395,7 +395,6 @@ impl std::error::Error for ParseTaskStatusError {}
|
||||
pub enum Kind {
|
||||
DocumentAdditionOrUpdate,
|
||||
DocumentDeletion,
|
||||
DocumentDeletionByFilter,
|
||||
SettingsUpdate,
|
||||
IndexCreation,
|
||||
IndexDeletion,
|
||||
@ -412,7 +411,6 @@ impl Kind {
|
||||
match self {
|
||||
Kind::DocumentAdditionOrUpdate
|
||||
| Kind::DocumentDeletion
|
||||
| Kind::DocumentDeletionByFilter
|
||||
| Kind::SettingsUpdate
|
||||
| Kind::IndexCreation
|
||||
| Kind::IndexDeletion
|
||||
@ -430,7 +428,6 @@ impl Display for Kind {
|
||||
match self {
|
||||
Kind::DocumentAdditionOrUpdate => write!(f, "documentAdditionOrUpdate"),
|
||||
Kind::DocumentDeletion => write!(f, "documentDeletion"),
|
||||
Kind::DocumentDeletionByFilter => write!(f, "documentDeletionByFilter"),
|
||||
Kind::SettingsUpdate => write!(f, "settingsUpdate"),
|
||||
Kind::IndexCreation => write!(f, "indexCreation"),
|
||||
Kind::IndexDeletion => write!(f, "indexDeletion"),
|
||||
|
@ -5,7 +5,7 @@ use actix_web::HttpRequest;
|
||||
use meilisearch_types::InstanceUid;
|
||||
use serde_json::Value;
|
||||
|
||||
use super::{find_user_id, Analytics, DocumentDeletionKind};
|
||||
use super::{find_user_id, Analytics, DocumentDeletionKind, DocumentFetchKind};
|
||||
use crate::routes::indexes::documents::UpdateDocumentsQuery;
|
||||
use crate::routes::tasks::TasksFilterQuery;
|
||||
use crate::Opt;
|
||||
@ -71,6 +71,8 @@ impl Analytics for MockAnalytics {
|
||||
_request: &HttpRequest,
|
||||
) {
|
||||
}
|
||||
fn get_fetch_documents(&self, _documents_query: &DocumentFetchKind, _request: &HttpRequest) {}
|
||||
fn post_fetch_documents(&self, _documents_query: &DocumentFetchKind, _request: &HttpRequest) {}
|
||||
fn get_tasks(&self, _query: &TasksFilterQuery, _request: &HttpRequest) {}
|
||||
fn health_seen(&self, _request: &HttpRequest) {}
|
||||
}
|
||||
|
@ -67,6 +67,12 @@ pub enum DocumentDeletionKind {
|
||||
PerFilter,
|
||||
}
|
||||
|
||||
#[derive(Copy, Clone, Debug, PartialEq, Eq)]
|
||||
pub enum DocumentFetchKind {
|
||||
PerDocumentId,
|
||||
Normal { with_filter: bool, limit: usize, offset: usize },
|
||||
}
|
||||
|
||||
pub trait Analytics: Sync + Send {
|
||||
fn instance_uid(&self) -> Option<&InstanceUid>;
|
||||
|
||||
@ -90,6 +96,12 @@ pub trait Analytics: Sync + Send {
|
||||
request: &HttpRequest,
|
||||
);
|
||||
|
||||
// this method should be called to aggregate a fetch documents request
|
||||
fn get_fetch_documents(&self, documents_query: &DocumentFetchKind, request: &HttpRequest);
|
||||
|
||||
// this method should be called to aggregate a fetch documents request
|
||||
fn post_fetch_documents(&self, documents_query: &DocumentFetchKind, request: &HttpRequest);
|
||||
|
||||
// this method should be called to aggregate a add documents request
|
||||
fn delete_documents(&self, kind: DocumentDeletionKind, request: &HttpRequest);
|
||||
|
||||
|
@ -23,7 +23,9 @@ use tokio::select;
|
||||
use tokio::sync::mpsc::{self, Receiver, Sender};
|
||||
use uuid::Uuid;
|
||||
|
||||
use super::{config_user_id_path, DocumentDeletionKind, MEILISEARCH_CONFIG_PATH};
|
||||
use super::{
|
||||
config_user_id_path, DocumentDeletionKind, DocumentFetchKind, MEILISEARCH_CONFIG_PATH,
|
||||
};
|
||||
use crate::analytics::Analytics;
|
||||
use crate::option::{default_http_addr, IndexerOpts, MaxMemory, MaxThreads, ScheduleSnapshot};
|
||||
use crate::routes::indexes::documents::UpdateDocumentsQuery;
|
||||
@ -72,6 +74,8 @@ pub enum AnalyticsMsg {
|
||||
AggregateAddDocuments(DocumentsAggregator),
|
||||
AggregateDeleteDocuments(DocumentsDeletionAggregator),
|
||||
AggregateUpdateDocuments(DocumentsAggregator),
|
||||
AggregateGetFetchDocuments(DocumentsFetchAggregator),
|
||||
AggregatePostFetchDocuments(DocumentsFetchAggregator),
|
||||
AggregateTasks(TasksAggregator),
|
||||
AggregateHealth(HealthAggregator),
|
||||
}
|
||||
@ -139,6 +143,8 @@ impl SegmentAnalytics {
|
||||
add_documents_aggregator: DocumentsAggregator::default(),
|
||||
delete_documents_aggregator: DocumentsDeletionAggregator::default(),
|
||||
update_documents_aggregator: DocumentsAggregator::default(),
|
||||
get_fetch_documents_aggregator: DocumentsFetchAggregator::default(),
|
||||
post_fetch_documents_aggregator: DocumentsFetchAggregator::default(),
|
||||
get_tasks_aggregator: TasksAggregator::default(),
|
||||
health_aggregator: HealthAggregator::default(),
|
||||
});
|
||||
@ -205,6 +211,16 @@ impl super::Analytics for SegmentAnalytics {
|
||||
let _ = self.sender.try_send(AnalyticsMsg::AggregateUpdateDocuments(aggregate));
|
||||
}
|
||||
|
||||
fn get_fetch_documents(&self, documents_query: &DocumentFetchKind, request: &HttpRequest) {
|
||||
let aggregate = DocumentsFetchAggregator::from_query(documents_query, request);
|
||||
let _ = self.sender.try_send(AnalyticsMsg::AggregateGetFetchDocuments(aggregate));
|
||||
}
|
||||
|
||||
fn post_fetch_documents(&self, documents_query: &DocumentFetchKind, request: &HttpRequest) {
|
||||
let aggregate = DocumentsFetchAggregator::from_query(documents_query, request);
|
||||
let _ = self.sender.try_send(AnalyticsMsg::AggregatePostFetchDocuments(aggregate));
|
||||
}
|
||||
|
||||
fn get_tasks(&self, query: &TasksFilterQuery, request: &HttpRequest) {
|
||||
let aggregate = TasksAggregator::from_query(query, request);
|
||||
let _ = self.sender.try_send(AnalyticsMsg::AggregateTasks(aggregate));
|
||||
@ -225,6 +241,7 @@ impl super::Analytics for SegmentAnalytics {
|
||||
struct Infos {
|
||||
env: String,
|
||||
experimental_enable_metrics: bool,
|
||||
experimental_reduce_indexing_memory_usage: bool,
|
||||
db_path: bool,
|
||||
import_dump: bool,
|
||||
dump_dir: bool,
|
||||
@ -258,6 +275,7 @@ impl From<Opt> for Infos {
|
||||
let Opt {
|
||||
db_path,
|
||||
experimental_enable_metrics,
|
||||
experimental_reduce_indexing_memory_usage,
|
||||
http_addr,
|
||||
master_key: _,
|
||||
env,
|
||||
@ -300,6 +318,7 @@ impl From<Opt> for Infos {
|
||||
Self {
|
||||
env,
|
||||
experimental_enable_metrics,
|
||||
experimental_reduce_indexing_memory_usage,
|
||||
db_path: db_path != PathBuf::from("./data.ms"),
|
||||
import_dump: import_dump.is_some(),
|
||||
dump_dir: dump_dir != PathBuf::from("dumps/"),
|
||||
@ -338,6 +357,8 @@ pub struct Segment {
|
||||
add_documents_aggregator: DocumentsAggregator,
|
||||
delete_documents_aggregator: DocumentsDeletionAggregator,
|
||||
update_documents_aggregator: DocumentsAggregator,
|
||||
get_fetch_documents_aggregator: DocumentsFetchAggregator,
|
||||
post_fetch_documents_aggregator: DocumentsFetchAggregator,
|
||||
get_tasks_aggregator: TasksAggregator,
|
||||
health_aggregator: HealthAggregator,
|
||||
}
|
||||
@ -400,6 +421,8 @@ impl Segment {
|
||||
Some(AnalyticsMsg::AggregateAddDocuments(agreg)) => self.add_documents_aggregator.aggregate(agreg),
|
||||
Some(AnalyticsMsg::AggregateDeleteDocuments(agreg)) => self.delete_documents_aggregator.aggregate(agreg),
|
||||
Some(AnalyticsMsg::AggregateUpdateDocuments(agreg)) => self.update_documents_aggregator.aggregate(agreg),
|
||||
Some(AnalyticsMsg::AggregateGetFetchDocuments(agreg)) => self.get_fetch_documents_aggregator.aggregate(agreg),
|
||||
Some(AnalyticsMsg::AggregatePostFetchDocuments(agreg)) => self.post_fetch_documents_aggregator.aggregate(agreg),
|
||||
Some(AnalyticsMsg::AggregateTasks(agreg)) => self.get_tasks_aggregator.aggregate(agreg),
|
||||
Some(AnalyticsMsg::AggregateHealth(agreg)) => self.health_aggregator.aggregate(agreg),
|
||||
None => (),
|
||||
@ -450,6 +473,10 @@ impl Segment {
|
||||
.into_event(&self.user, "Documents Deleted");
|
||||
let update_documents = std::mem::take(&mut self.update_documents_aggregator)
|
||||
.into_event(&self.user, "Documents Updated");
|
||||
let get_fetch_documents = std::mem::take(&mut self.get_fetch_documents_aggregator)
|
||||
.into_event(&self.user, "Documents Fetched GET");
|
||||
let post_fetch_documents = std::mem::take(&mut self.post_fetch_documents_aggregator)
|
||||
.into_event(&self.user, "Documents Fetched POST");
|
||||
let get_tasks =
|
||||
std::mem::take(&mut self.get_tasks_aggregator).into_event(&self.user, "Tasks Seen");
|
||||
let health =
|
||||
@ -473,6 +500,12 @@ impl Segment {
|
||||
if let Some(update_documents) = update_documents {
|
||||
let _ = self.batcher.push(update_documents).await;
|
||||
}
|
||||
if let Some(get_fetch_documents) = get_fetch_documents {
|
||||
let _ = self.batcher.push(get_fetch_documents).await;
|
||||
}
|
||||
if let Some(post_fetch_documents) = post_fetch_documents {
|
||||
let _ = self.batcher.push(post_fetch_documents).await;
|
||||
}
|
||||
if let Some(get_tasks) = get_tasks {
|
||||
let _ = self.batcher.push(get_tasks).await;
|
||||
}
|
||||
@ -1135,3 +1168,76 @@ impl HealthAggregator {
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
#[derive(Default, Serialize)]
|
||||
pub struct DocumentsFetchAggregator {
|
||||
#[serde(skip)]
|
||||
timestamp: Option<OffsetDateTime>,
|
||||
|
||||
// context
|
||||
#[serde(rename = "user-agent")]
|
||||
user_agents: HashSet<String>,
|
||||
|
||||
#[serde(rename = "requests.max_limit")]
|
||||
total_received: usize,
|
||||
|
||||
// a call on ../documents/:doc_id
|
||||
per_document_id: bool,
|
||||
// if a filter was used
|
||||
per_filter: bool,
|
||||
|
||||
// pagination
|
||||
#[serde(rename = "pagination.max_limit")]
|
||||
max_limit: usize,
|
||||
#[serde(rename = "pagination.max_offset")]
|
||||
max_offset: usize,
|
||||
}
|
||||
|
||||
impl DocumentsFetchAggregator {
|
||||
pub fn from_query(query: &DocumentFetchKind, request: &HttpRequest) -> Self {
|
||||
let (limit, offset) = match query {
|
||||
DocumentFetchKind::PerDocumentId => (1, 0),
|
||||
DocumentFetchKind::Normal { limit, offset, .. } => (*limit, *offset),
|
||||
};
|
||||
Self {
|
||||
timestamp: Some(OffsetDateTime::now_utc()),
|
||||
user_agents: extract_user_agents(request).into_iter().collect(),
|
||||
total_received: 1,
|
||||
per_document_id: matches!(query, DocumentFetchKind::PerDocumentId),
|
||||
per_filter: matches!(query, DocumentFetchKind::Normal { with_filter, .. } if *with_filter),
|
||||
max_limit: limit,
|
||||
max_offset: offset,
|
||||
}
|
||||
}
|
||||
|
||||
/// Aggregate one [DocumentsFetchAggregator] into another.
|
||||
pub fn aggregate(&mut self, other: Self) {
|
||||
if self.timestamp.is_none() {
|
||||
self.timestamp = other.timestamp;
|
||||
}
|
||||
for user_agent in other.user_agents {
|
||||
self.user_agents.insert(user_agent);
|
||||
}
|
||||
|
||||
self.total_received = self.total_received.saturating_add(other.total_received);
|
||||
self.per_document_id |= other.per_document_id;
|
||||
self.per_filter |= other.per_filter;
|
||||
|
||||
self.max_limit = self.max_limit.max(other.max_limit);
|
||||
self.max_offset = self.max_offset.max(other.max_offset);
|
||||
}
|
||||
|
||||
pub fn into_event(self, user: &User, event_name: &str) -> Option<Track> {
|
||||
// if we had no timestamp it means we never encountered any events and
|
||||
// thus we don't need to send this event.
|
||||
let timestamp = self.timestamp?;
|
||||
|
||||
Some(Track {
|
||||
timestamp: Some(timestamp),
|
||||
user: user.clone(),
|
||||
event: event_name.to_string(),
|
||||
properties: serde_json::to_value(self).ok()?,
|
||||
..Default::default()
|
||||
})
|
||||
}
|
||||
}
|
||||
|
@ -1,5 +1,6 @@
|
||||
use actix_web as aweb;
|
||||
use aweb::error::{JsonPayloadError, QueryPayloadError};
|
||||
use byte_unit::Byte;
|
||||
use meilisearch_types::document_formats::{DocumentFormatError, PayloadType};
|
||||
use meilisearch_types::error::{Code, ErrorCode, ResponseError};
|
||||
use meilisearch_types::index_uid::{IndexUid, IndexUidFormatError};
|
||||
@ -26,8 +27,8 @@ pub enum MeilisearchHttpError {
|
||||
InvalidExpression(&'static [&'static str], Value),
|
||||
#[error("A {0} payload is missing.")]
|
||||
MissingPayload(PayloadType),
|
||||
#[error("The provided payload reached the size limit.")]
|
||||
PayloadTooLarge,
|
||||
#[error("The provided payload reached the size limit. The maximum accepted payload size is {}.", Byte::from_bytes(*.0 as u64).get_appropriate_unit(true))]
|
||||
PayloadTooLarge(usize),
|
||||
#[error("Two indexes must be given for each swap. The list `[{}]` contains {} indexes.",
|
||||
.0.iter().map(|uid| format!("\"{uid}\"")).collect::<Vec<_>>().join(", "), .0.len()
|
||||
)]
|
||||
@ -60,9 +61,9 @@ impl ErrorCode for MeilisearchHttpError {
|
||||
MeilisearchHttpError::MissingPayload(_) => Code::MissingPayload,
|
||||
MeilisearchHttpError::InvalidContentType(_, _) => Code::InvalidContentType,
|
||||
MeilisearchHttpError::DocumentNotFound(_) => Code::DocumentNotFound,
|
||||
MeilisearchHttpError::EmptyFilter => Code::InvalidDocumentDeleteFilter,
|
||||
MeilisearchHttpError::EmptyFilter => Code::InvalidDocumentFilter,
|
||||
MeilisearchHttpError::InvalidExpression(_, _) => Code::InvalidSearchFilter,
|
||||
MeilisearchHttpError::PayloadTooLarge => Code::PayloadTooLarge,
|
||||
MeilisearchHttpError::PayloadTooLarge(_) => Code::PayloadTooLarge,
|
||||
MeilisearchHttpError::SwapIndexPayloadWrongLength(_) => Code::InvalidSwapIndexes,
|
||||
MeilisearchHttpError::IndexUid(e) => e.error_code(),
|
||||
MeilisearchHttpError::SerdeJson(_) => Code::Internal,
|
||||
|
@ -11,6 +11,7 @@ use crate::error::MeilisearchHttpError;
|
||||
pub struct Payload {
|
||||
payload: Decompress<dev::Payload>,
|
||||
limit: usize,
|
||||
remaining: usize,
|
||||
}
|
||||
|
||||
pub struct PayloadConfig {
|
||||
@ -43,6 +44,7 @@ impl FromRequest for Payload {
|
||||
ready(Ok(Payload {
|
||||
payload: Decompress::from_headers(payload.take(), req.headers()),
|
||||
limit,
|
||||
remaining: limit,
|
||||
}))
|
||||
}
|
||||
}
|
||||
@ -54,12 +56,14 @@ impl Stream for Payload {
|
||||
fn poll_next(mut self: Pin<&mut Self>, cx: &mut Context<'_>) -> Poll<Option<Self::Item>> {
|
||||
match Pin::new(&mut self.payload).poll_next(cx) {
|
||||
Poll::Ready(Some(result)) => match result {
|
||||
Ok(bytes) => match self.limit.checked_sub(bytes.len()) {
|
||||
Ok(bytes) => match self.remaining.checked_sub(bytes.len()) {
|
||||
Some(new_limit) => {
|
||||
self.limit = new_limit;
|
||||
self.remaining = new_limit;
|
||||
Poll::Ready(Some(Ok(bytes)))
|
||||
}
|
||||
None => Poll::Ready(Some(Err(MeilisearchHttpError::PayloadTooLarge))),
|
||||
None => {
|
||||
Poll::Ready(Some(Err(MeilisearchHttpError::PayloadTooLarge(self.limit))))
|
||||
}
|
||||
},
|
||||
x => Poll::Ready(Some(x.map_err(MeilisearchHttpError::from))),
|
||||
},
|
||||
|
@ -232,6 +232,7 @@ fn open_or_create_database_unchecked(
|
||||
dumps_path: opt.dump_dir.clone(),
|
||||
task_db_size: opt.max_task_db_size.get_bytes() as usize,
|
||||
index_base_map_size: opt.max_index_size.get_bytes() as usize,
|
||||
enable_mdb_writemap: opt.experimental_reduce_indexing_memory_usage,
|
||||
indexer_config: (&opt.indexer_options).try_into()?,
|
||||
autobatching_enabled: true,
|
||||
max_number_of_tasks: 1_000_000,
|
||||
|
@ -29,6 +29,11 @@ fn setup(opt: &Opt) -> anyhow::Result<()> {
|
||||
async fn main() -> anyhow::Result<()> {
|
||||
let (opt, config_read_from) = Opt::try_build()?;
|
||||
|
||||
anyhow::ensure!(
|
||||
!(cfg!(windows) && opt.experimental_reduce_indexing_memory_usage),
|
||||
"The `experimental-reduce-indexing-memory-usage` flag is not supported on Windows"
|
||||
);
|
||||
|
||||
setup(&opt)?;
|
||||
|
||||
match (opt.env.as_ref(), &opt.master_key) {
|
||||
|
@ -48,6 +48,8 @@ const MEILI_IGNORE_DUMP_IF_DB_EXISTS: &str = "MEILI_IGNORE_DUMP_IF_DB_EXISTS";
|
||||
const MEILI_DUMP_DIR: &str = "MEILI_DUMP_DIR";
|
||||
const MEILI_LOG_LEVEL: &str = "MEILI_LOG_LEVEL";
|
||||
const MEILI_EXPERIMENTAL_ENABLE_METRICS: &str = "MEILI_EXPERIMENTAL_ENABLE_METRICS";
|
||||
const MEILI_EXPERIMENTAL_REDUCE_INDEXING_MEMORY_USAGE: &str =
|
||||
"MEILI_EXPERIMENTAL_REDUCE_INDEXING_MEMORY_USAGE";
|
||||
|
||||
const DEFAULT_CONFIG_FILE_PATH: &str = "./config.toml";
|
||||
const DEFAULT_DB_PATH: &str = "./data.ms";
|
||||
@ -293,6 +295,11 @@ pub struct Opt {
|
||||
#[serde(default)]
|
||||
pub experimental_enable_metrics: bool,
|
||||
|
||||
/// Experimental RAM reduction during indexing, do not use in production, see: <https://github.com/meilisearch/product/discussions/652>
|
||||
#[clap(long, env = MEILI_EXPERIMENTAL_REDUCE_INDEXING_MEMORY_USAGE)]
|
||||
#[serde(default)]
|
||||
pub experimental_reduce_indexing_memory_usage: bool,
|
||||
|
||||
#[serde(flatten)]
|
||||
#[clap(flatten)]
|
||||
pub indexer_options: IndexerOpts,
|
||||
@ -385,6 +392,7 @@ impl Opt {
|
||||
#[cfg(all(not(debug_assertions), feature = "analytics"))]
|
||||
no_analytics,
|
||||
experimental_enable_metrics: enable_metrics_route,
|
||||
experimental_reduce_indexing_memory_usage: reduce_indexing_memory_usage,
|
||||
} = self;
|
||||
export_to_env_if_not_present(MEILI_DB_PATH, db_path);
|
||||
export_to_env_if_not_present(MEILI_HTTP_ADDR, http_addr);
|
||||
@ -426,6 +434,10 @@ impl Opt {
|
||||
MEILI_EXPERIMENTAL_ENABLE_METRICS,
|
||||
enable_metrics_route.to_string(),
|
||||
);
|
||||
export_to_env_if_not_present(
|
||||
MEILI_EXPERIMENTAL_REDUCE_INDEXING_MEMORY_USAGE,
|
||||
reduce_indexing_memory_usage.to_string(),
|
||||
);
|
||||
indexer_options.export_to_env();
|
||||
}
|
||||
|
||||
|
@ -29,7 +29,7 @@ use tempfile::tempfile;
|
||||
use tokio::fs::File;
|
||||
use tokio::io::{AsyncSeekExt, AsyncWriteExt, BufWriter};
|
||||
|
||||
use crate::analytics::{Analytics, DocumentDeletionKind};
|
||||
use crate::analytics::{Analytics, DocumentDeletionKind, DocumentFetchKind};
|
||||
use crate::error::MeilisearchHttpError;
|
||||
use crate::error::PayloadError::ReceivePayload;
|
||||
use crate::extractors::authentication::policies::*;
|
||||
@ -97,10 +97,14 @@ pub async fn get_document(
|
||||
index_scheduler: GuardedData<ActionPolicy<{ actions::DOCUMENTS_GET }>, Data<IndexScheduler>>,
|
||||
document_param: web::Path<DocumentParam>,
|
||||
params: AwebQueryParameter<GetDocument, DeserrQueryParamError>,
|
||||
req: HttpRequest,
|
||||
analytics: web::Data<dyn Analytics>,
|
||||
) -> Result<HttpResponse, ResponseError> {
|
||||
let DocumentParam { index_uid, document_id } = document_param.into_inner();
|
||||
let index_uid = IndexUid::try_from(index_uid)?;
|
||||
|
||||
analytics.get_fetch_documents(&DocumentFetchKind::PerDocumentId, &req);
|
||||
|
||||
let GetDocument { fields } = params.into_inner();
|
||||
let attributes_to_retrieve = fields.merge_star_and_none();
|
||||
|
||||
@ -161,16 +165,31 @@ pub async fn documents_by_query_post(
|
||||
index_scheduler: GuardedData<ActionPolicy<{ actions::DOCUMENTS_GET }>, Data<IndexScheduler>>,
|
||||
index_uid: web::Path<String>,
|
||||
body: AwebJson<BrowseQuery, DeserrJsonError>,
|
||||
req: HttpRequest,
|
||||
analytics: web::Data<dyn Analytics>,
|
||||
) -> Result<HttpResponse, ResponseError> {
|
||||
debug!("called with body: {:?}", body);
|
||||
|
||||
documents_by_query(&index_scheduler, index_uid, body.into_inner())
|
||||
let body = body.into_inner();
|
||||
|
||||
analytics.post_fetch_documents(
|
||||
&DocumentFetchKind::Normal {
|
||||
with_filter: body.filter.is_some(),
|
||||
limit: body.limit,
|
||||
offset: body.offset,
|
||||
},
|
||||
&req,
|
||||
);
|
||||
|
||||
documents_by_query(&index_scheduler, index_uid, body)
|
||||
}
|
||||
|
||||
pub async fn get_documents(
|
||||
index_scheduler: GuardedData<ActionPolicy<{ actions::DOCUMENTS_GET }>, Data<IndexScheduler>>,
|
||||
index_uid: web::Path<String>,
|
||||
params: AwebQueryParameter<BrowseQueryGet, DeserrQueryParamError>,
|
||||
req: HttpRequest,
|
||||
analytics: web::Data<dyn Analytics>,
|
||||
) -> Result<HttpResponse, ResponseError> {
|
||||
debug!("called with params: {:?}", params);
|
||||
|
||||
@ -191,6 +210,15 @@ pub async fn get_documents(
|
||||
filter,
|
||||
};
|
||||
|
||||
analytics.get_fetch_documents(
|
||||
&DocumentFetchKind::Normal {
|
||||
with_filter: query.filter.is_some(),
|
||||
limit: query.limit,
|
||||
offset: query.offset,
|
||||
},
|
||||
&req,
|
||||
);
|
||||
|
||||
documents_by_query(&index_scheduler, index_uid, query)
|
||||
}
|
||||
|
||||
@ -458,7 +486,7 @@ pub async fn delete_documents_batch(
|
||||
#[derive(Debug, Deserr)]
|
||||
#[deserr(error = DeserrJsonError, rename_all = camelCase, deny_unknown_fields)]
|
||||
pub struct DocumentDeletionByFilter {
|
||||
#[deserr(error = DeserrJsonError<InvalidDocumentDeleteFilter>)]
|
||||
#[deserr(error = DeserrJsonError<InvalidDocumentFilter>, missing_field_error = DeserrJsonError::missing_document_filter)]
|
||||
filter: Value,
|
||||
}
|
||||
|
||||
@ -480,8 +508,8 @@ pub async fn delete_documents_by_filter(
|
||||
|| -> Result<_, ResponseError> {
|
||||
Ok(crate::search::parse_filter(&filter)?.ok_or(MeilisearchHttpError::EmptyFilter)?)
|
||||
}()
|
||||
// and whatever was the error, the error code should always be an InvalidDocumentDeleteFilter
|
||||
.map_err(|err| ResponseError::from_msg(err.message, Code::InvalidDocumentDeleteFilter))?;
|
||||
// and whatever was the error, the error code should always be an InvalidDocumentFilter
|
||||
.map_err(|err| ResponseError::from_msg(err.message, Code::InvalidDocumentFilter))?;
|
||||
let task = KindWithContent::DocumentDeletionByFilter { index_uid, filter_expr: filter };
|
||||
|
||||
let task: SummarizedTaskView =
|
||||
@ -540,7 +568,12 @@ fn retrieve_documents<S: AsRef<str>>(
|
||||
};
|
||||
|
||||
let candidates = if let Some(filter) = filter {
|
||||
filter.evaluate(&rtxn, index)?
|
||||
filter.evaluate(&rtxn, index).map_err(|err| match err {
|
||||
milli::Error::UserError(milli::UserError::InvalidFilter(_)) => {
|
||||
ResponseError::from_msg(err.to_string(), Code::InvalidDocumentFilter)
|
||||
}
|
||||
e => e.into(),
|
||||
})?
|
||||
} else {
|
||||
index.documents_ids(&rtxn)?
|
||||
};
|
||||
|
@ -99,7 +99,7 @@ pub struct DetailsView {
|
||||
#[serde(skip_serializing_if = "Option::is_none")]
|
||||
pub deleted_tasks: Option<Option<u64>>,
|
||||
#[serde(skip_serializing_if = "Option::is_none")]
|
||||
pub original_filter: Option<String>,
|
||||
pub original_filter: Option<Option<String>>,
|
||||
#[serde(skip_serializing_if = "Option::is_none")]
|
||||
pub dump_uid: Option<Option<String>>,
|
||||
#[serde(skip_serializing_if = "Option::is_none")]
|
||||
@ -131,12 +131,13 @@ impl From<Details> for DetailsView {
|
||||
} => DetailsView {
|
||||
provided_ids: Some(received_document_ids),
|
||||
deleted_documents: Some(deleted_documents),
|
||||
original_filter: Some(None),
|
||||
..DetailsView::default()
|
||||
},
|
||||
Details::DocumentDeletionByFilter { original_filter, deleted_documents } => {
|
||||
DetailsView {
|
||||
provided_ids: Some(0),
|
||||
original_filter: Some(original_filter),
|
||||
original_filter: Some(Some(original_filter)),
|
||||
deleted_documents: Some(deleted_documents),
|
||||
..DetailsView::default()
|
||||
}
|
||||
@ -148,7 +149,7 @@ impl From<Details> for DetailsView {
|
||||
DetailsView {
|
||||
matched_tasks: Some(matched_tasks),
|
||||
canceled_tasks: Some(canceled_tasks),
|
||||
original_filter: Some(original_filter),
|
||||
original_filter: Some(Some(original_filter)),
|
||||
..DetailsView::default()
|
||||
}
|
||||
}
|
||||
@ -156,7 +157,7 @@ impl From<Details> for DetailsView {
|
||||
DetailsView {
|
||||
matched_tasks: Some(matched_tasks),
|
||||
deleted_tasks: Some(deleted_tasks),
|
||||
original_filter: Some(original_filter),
|
||||
original_filter: Some(Some(original_filter)),
|
||||
..DetailsView::default()
|
||||
}
|
||||
}
|
||||
@ -729,7 +730,7 @@ mod tests {
|
||||
let err = deserr_query_params::<TaskDeletionOrCancelationQuery>(params).unwrap_err();
|
||||
snapshot!(meili_snap::json_string!(err), @r###"
|
||||
{
|
||||
"message": "Invalid value in parameter `types`: `createIndex` is not a valid task type. Available types are `documentAdditionOrUpdate`, `documentDeletion`, `documentDeletionByFilter`, `settingsUpdate`, `indexCreation`, `indexDeletion`, `indexUpdate`, `indexSwap`, `taskCancelation`, `taskDeletion`, `dumpCreation`, `snapshotCreation`.",
|
||||
"message": "Invalid value in parameter `types`: `createIndex` is not a valid task type. Available types are `documentAdditionOrUpdate`, `documentDeletion`, `settingsUpdate`, `indexCreation`, `indexDeletion`, `indexUpdate`, `indexSwap`, `taskCancelation`, `taskDeletion`, `dumpCreation`, `snapshotCreation`.",
|
||||
"code": "invalid_task_types",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_task_types"
|
||||
|
@ -16,8 +16,11 @@ pub static AUTHORIZATIONS: Lazy<HashMap<(&'static str, &'static str), HashSet<&'
|
||||
("GET", "/indexes/products/search") => hashset!{"search", "*"},
|
||||
("POST", "/indexes/products/documents") => hashset!{"documents.add", "documents.*", "*"},
|
||||
("GET", "/indexes/products/documents") => hashset!{"documents.get", "documents.*", "*"},
|
||||
("POST", "/indexes/products/documents/fetch") => hashset!{"documents.get", "documents.*", "*"},
|
||||
("GET", "/indexes/products/documents/0") => hashset!{"documents.get", "documents.*", "*"},
|
||||
("DELETE", "/indexes/products/documents/0") => hashset!{"documents.delete", "documents.*", "*"},
|
||||
("POST", "/indexes/products/documents/delete-batch") => hashset!{"documents.delete", "documents.*", "*"},
|
||||
("POST", "/indexes/products/documents/delete") => hashset!{"documents.delete", "documents.*", "*"},
|
||||
("GET", "/tasks") => hashset!{"tasks.get", "tasks.*", "*"},
|
||||
("DELETE", "/tasks") => hashset!{"tasks.delete", "tasks.*", "*"},
|
||||
("GET", "/tasks?indexUid=products") => hashset!{"tasks.get", "tasks.*", "*"},
|
||||
|
@ -1781,7 +1781,7 @@ async fn error_add_documents_payload_size() {
|
||||
snapshot!(json_string!(response, { ".duration" => "[duration]", ".enqueuedAt" => "[date]", ".startedAt" => "[date]", ".finishedAt" => "[date]" }),
|
||||
@r###"
|
||||
{
|
||||
"message": "The provided payload reached the size limit.",
|
||||
"message": "The provided payload reached the size limit. The maximum accepted payload size is 10.00 MiB.",
|
||||
"code": "payload_too_large",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#payload_too_large"
|
||||
|
@ -180,9 +180,9 @@ async fn get_all_documents_bad_filter() {
|
||||
snapshot!(json_string!(response), @r###"
|
||||
{
|
||||
"message": "Attribute `doggo` is not filterable. This index does not have configured filterable attributes.\n1:6 doggo=bernese",
|
||||
"code": "invalid_search_filter",
|
||||
"code": "invalid_document_filter",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_search_filter"
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_document_filter"
|
||||
}
|
||||
"###);
|
||||
}
|
||||
@ -547,9 +547,9 @@ async fn delete_document_by_filter() {
|
||||
snapshot!(json_string!(response), @r###"
|
||||
{
|
||||
"message": "Invalid syntax for the filter parameter: `expected String, Array, found: true`.",
|
||||
"code": "invalid_document_delete_filter",
|
||||
"code": "invalid_document_filter",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_document_delete_filter"
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_document_filter"
|
||||
}
|
||||
"###);
|
||||
|
||||
@ -559,9 +559,9 @@ async fn delete_document_by_filter() {
|
||||
snapshot!(json_string!(response), @r###"
|
||||
{
|
||||
"message": "Was expecting an operation `=`, `!=`, `>=`, `>`, `<=`, `<`, `IN`, `NOT IN`, `TO`, `EXISTS`, `NOT EXISTS`, `IS NULL`, `IS NOT NULL`, `IS EMPTY`, `IS NOT EMPTY`, `_geoRadius`, or `_geoBoundingBox` at `hello`.\n1:6 hello",
|
||||
"code": "invalid_document_delete_filter",
|
||||
"code": "invalid_document_filter",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_document_delete_filter"
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_document_filter"
|
||||
}
|
||||
"###);
|
||||
|
||||
@ -571,9 +571,21 @@ async fn delete_document_by_filter() {
|
||||
snapshot!(json_string!(response), @r###"
|
||||
{
|
||||
"message": "Sending an empty filter is forbidden.",
|
||||
"code": "invalid_document_delete_filter",
|
||||
"code": "invalid_document_filter",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_document_delete_filter"
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_document_filter"
|
||||
}
|
||||
"###);
|
||||
|
||||
// do not send any filter
|
||||
let (response, code) = index.delete_document_by_filter(json!({})).await;
|
||||
snapshot!(code, @"400 Bad Request");
|
||||
snapshot!(json_string!(response), @r###"
|
||||
{
|
||||
"message": "Missing field `filter`",
|
||||
"code": "missing_document_filter",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#missing_document_filter"
|
||||
}
|
||||
"###);
|
||||
|
||||
@ -630,9 +642,9 @@ async fn delete_document_by_filter() {
|
||||
},
|
||||
"error": {
|
||||
"message": "Attribute `doggo` is not filterable. This index does not have configured filterable attributes.\n1:6 doggo = bernese",
|
||||
"code": "invalid_search_filter",
|
||||
"code": "invalid_document_filter",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_search_filter"
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_document_filter"
|
||||
},
|
||||
"duration": "[duration]",
|
||||
"enqueuedAt": "[date]",
|
||||
@ -664,9 +676,9 @@ async fn delete_document_by_filter() {
|
||||
},
|
||||
"error": {
|
||||
"message": "Attribute `catto` is not filterable. Available filterable attributes are: `doggo`.\n1:6 catto = jorts",
|
||||
"code": "invalid_search_filter",
|
||||
"code": "invalid_document_filter",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_search_filter"
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_document_filter"
|
||||
},
|
||||
"duration": "[duration]",
|
||||
"enqueuedAt": "[date]",
|
||||
@ -748,4 +760,27 @@ async fn fetch_document_by_filter() {
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_document_filter"
|
||||
}
|
||||
"###);
|
||||
|
||||
let (response, code) = index.get_document_by_filter(json!({ "filter": "cool doggo" })).await;
|
||||
snapshot!(code, @"400 Bad Request");
|
||||
snapshot!(json_string!(response), @r###"
|
||||
{
|
||||
"message": "Was expecting an operation `=`, `!=`, `>=`, `>`, `<=`, `<`, `IN`, `NOT IN`, `TO`, `EXISTS`, `NOT EXISTS`, `IS NULL`, `IS NOT NULL`, `IS EMPTY`, `IS NOT EMPTY`, `_geoRadius`, or `_geoBoundingBox` at `cool doggo`.\n1:11 cool doggo",
|
||||
"code": "invalid_document_filter",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_document_filter"
|
||||
}
|
||||
"###);
|
||||
|
||||
let (response, code) =
|
||||
index.get_document_by_filter(json!({ "filter": "doggo = bernese" })).await;
|
||||
snapshot!(code, @"400 Bad Request");
|
||||
snapshot!(json_string!(response), @r###"
|
||||
{
|
||||
"message": "Attribute `doggo` is not filterable. Available filterable attributes are: `color`.\n1:6 doggo = bernese",
|
||||
"code": "invalid_document_filter",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_document_filter"
|
||||
}
|
||||
"###);
|
||||
}
|
||||
|
@ -946,7 +946,7 @@ async fn sort_unset_ranking_rule() {
|
||||
index.wait_task(1).await;
|
||||
|
||||
let expected_response = json!({
|
||||
"message": "The sort ranking rule must be specified in the ranking rules settings to use the sort parameter at search time.",
|
||||
"message": "You must specify where `sort` is listed in the rankingRules setting to use the sort parameter at search time.",
|
||||
"code": "invalid_search_sort",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_search_sort"
|
||||
|
@ -97,7 +97,7 @@ async fn task_bad_types() {
|
||||
snapshot!(code, @"400 Bad Request");
|
||||
snapshot!(json_string!(response), @r###"
|
||||
{
|
||||
"message": "Invalid value in parameter `types`: `doggo` is not a valid task type. Available types are `documentAdditionOrUpdate`, `documentDeletion`, `documentDeletionByFilter`, `settingsUpdate`, `indexCreation`, `indexDeletion`, `indexUpdate`, `indexSwap`, `taskCancelation`, `taskDeletion`, `dumpCreation`, `snapshotCreation`.",
|
||||
"message": "Invalid value in parameter `types`: `doggo` is not a valid task type. Available types are `documentAdditionOrUpdate`, `documentDeletion`, `settingsUpdate`, `indexCreation`, `indexDeletion`, `indexUpdate`, `indexSwap`, `taskCancelation`, `taskDeletion`, `dumpCreation`, `snapshotCreation`.",
|
||||
"code": "invalid_task_types",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_task_types"
|
||||
@ -108,7 +108,7 @@ async fn task_bad_types() {
|
||||
snapshot!(code, @"400 Bad Request");
|
||||
snapshot!(json_string!(response), @r###"
|
||||
{
|
||||
"message": "Invalid value in parameter `types`: `doggo` is not a valid task type. Available types are `documentAdditionOrUpdate`, `documentDeletion`, `documentDeletionByFilter`, `settingsUpdate`, `indexCreation`, `indexDeletion`, `indexUpdate`, `indexSwap`, `taskCancelation`, `taskDeletion`, `dumpCreation`, `snapshotCreation`.",
|
||||
"message": "Invalid value in parameter `types`: `doggo` is not a valid task type. Available types are `documentAdditionOrUpdate`, `documentDeletion`, `settingsUpdate`, `indexCreation`, `indexDeletion`, `indexUpdate`, `indexSwap`, `taskCancelation`, `taskDeletion`, `dumpCreation`, `snapshotCreation`.",
|
||||
"code": "invalid_task_types",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_task_types"
|
||||
@ -119,7 +119,7 @@ async fn task_bad_types() {
|
||||
snapshot!(code, @"400 Bad Request");
|
||||
snapshot!(json_string!(response), @r###"
|
||||
{
|
||||
"message": "Invalid value in parameter `types`: `doggo` is not a valid task type. Available types are `documentAdditionOrUpdate`, `documentDeletion`, `documentDeletionByFilter`, `settingsUpdate`, `indexCreation`, `indexDeletion`, `indexUpdate`, `indexSwap`, `taskCancelation`, `taskDeletion`, `dumpCreation`, `snapshotCreation`.",
|
||||
"message": "Invalid value in parameter `types`: `doggo` is not a valid task type. Available types are `documentAdditionOrUpdate`, `documentDeletion`, `settingsUpdate`, `indexCreation`, `indexDeletion`, `indexUpdate`, `indexSwap`, `taskCancelation`, `taskDeletion`, `dumpCreation`, `snapshotCreation`.",
|
||||
"code": "invalid_task_types",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_task_types"
|
||||
|
@ -413,7 +413,7 @@ async fn test_summarized_document_addition_or_update() {
|
||||
}
|
||||
|
||||
#[actix_web::test]
|
||||
async fn test_summarized_delete_batch() {
|
||||
async fn test_summarized_delete_documents_by_batch() {
|
||||
let server = Server::new().await;
|
||||
let index = server.index("test");
|
||||
index.delete_batch(vec![1, 2, 3]).await;
|
||||
@ -430,7 +430,8 @@ async fn test_summarized_delete_batch() {
|
||||
"canceledBy": null,
|
||||
"details": {
|
||||
"providedIds": 3,
|
||||
"deletedDocuments": 0
|
||||
"deletedDocuments": 0,
|
||||
"originalFilter": null
|
||||
},
|
||||
"error": {
|
||||
"message": "Index `test` not found.",
|
||||
@ -460,7 +461,8 @@ async fn test_summarized_delete_batch() {
|
||||
"canceledBy": null,
|
||||
"details": {
|
||||
"providedIds": 1,
|
||||
"deletedDocuments": 0
|
||||
"deletedDocuments": 0,
|
||||
"originalFilter": null
|
||||
},
|
||||
"error": null,
|
||||
"duration": "[duration]",
|
||||
@ -472,7 +474,100 @@ async fn test_summarized_delete_batch() {
|
||||
}
|
||||
|
||||
#[actix_web::test]
|
||||
async fn test_summarized_delete_document() {
|
||||
async fn test_summarized_delete_documents_by_filter() {
|
||||
let server = Server::new().await;
|
||||
let index = server.index("test");
|
||||
|
||||
index.delete_document_by_filter(json!({ "filter": "doggo = bernese" })).await;
|
||||
index.wait_task(0).await;
|
||||
let (task, _) = index.get_task(0).await;
|
||||
assert_json_snapshot!(task,
|
||||
{ ".duration" => "[duration]", ".enqueuedAt" => "[date]", ".startedAt" => "[date]", ".finishedAt" => "[date]" },
|
||||
@r###"
|
||||
{
|
||||
"uid": 0,
|
||||
"indexUid": "test",
|
||||
"status": "failed",
|
||||
"type": "documentDeletion",
|
||||
"canceledBy": null,
|
||||
"details": {
|
||||
"providedIds": 0,
|
||||
"deletedDocuments": 0,
|
||||
"originalFilter": "\"doggo = bernese\""
|
||||
},
|
||||
"error": {
|
||||
"message": "Index `test` not found.",
|
||||
"code": "index_not_found",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#index_not_found"
|
||||
},
|
||||
"duration": "[duration]",
|
||||
"enqueuedAt": "[date]",
|
||||
"startedAt": "[date]",
|
||||
"finishedAt": "[date]"
|
||||
}
|
||||
"###);
|
||||
|
||||
index.create(None).await;
|
||||
index.delete_document_by_filter(json!({ "filter": "doggo = bernese" })).await;
|
||||
index.wait_task(2).await;
|
||||
let (task, _) = index.get_task(2).await;
|
||||
assert_json_snapshot!(task,
|
||||
{ ".duration" => "[duration]", ".enqueuedAt" => "[date]", ".startedAt" => "[date]", ".finishedAt" => "[date]" },
|
||||
@r###"
|
||||
{
|
||||
"uid": 2,
|
||||
"indexUid": "test",
|
||||
"status": "failed",
|
||||
"type": "documentDeletion",
|
||||
"canceledBy": null,
|
||||
"details": {
|
||||
"providedIds": 0,
|
||||
"deletedDocuments": 0,
|
||||
"originalFilter": "\"doggo = bernese\""
|
||||
},
|
||||
"error": {
|
||||
"message": "Attribute `doggo` is not filterable. This index does not have configured filterable attributes.\n1:6 doggo = bernese",
|
||||
"code": "invalid_document_filter",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_document_filter"
|
||||
},
|
||||
"duration": "[duration]",
|
||||
"enqueuedAt": "[date]",
|
||||
"startedAt": "[date]",
|
||||
"finishedAt": "[date]"
|
||||
}
|
||||
"###);
|
||||
|
||||
index.update_settings(json!({ "filterableAttributes": ["doggo"] })).await;
|
||||
index.delete_document_by_filter(json!({ "filter": "doggo = bernese" })).await;
|
||||
index.wait_task(4).await;
|
||||
let (task, _) = index.get_task(4).await;
|
||||
assert_json_snapshot!(task,
|
||||
{ ".duration" => "[duration]", ".enqueuedAt" => "[date]", ".startedAt" => "[date]", ".finishedAt" => "[date]" },
|
||||
@r###"
|
||||
{
|
||||
"uid": 4,
|
||||
"indexUid": "test",
|
||||
"status": "succeeded",
|
||||
"type": "documentDeletion",
|
||||
"canceledBy": null,
|
||||
"details": {
|
||||
"providedIds": 0,
|
||||
"deletedDocuments": 0,
|
||||
"originalFilter": "\"doggo = bernese\""
|
||||
},
|
||||
"error": null,
|
||||
"duration": "[duration]",
|
||||
"enqueuedAt": "[date]",
|
||||
"startedAt": "[date]",
|
||||
"finishedAt": "[date]"
|
||||
}
|
||||
"###);
|
||||
}
|
||||
|
||||
#[actix_web::test]
|
||||
async fn test_summarized_delete_document_by_id() {
|
||||
let server = Server::new().await;
|
||||
let index = server.index("test");
|
||||
index.delete_document(1).await;
|
||||
@ -489,7 +584,8 @@ async fn test_summarized_delete_document() {
|
||||
"canceledBy": null,
|
||||
"details": {
|
||||
"providedIds": 1,
|
||||
"deletedDocuments": 0
|
||||
"deletedDocuments": 0,
|
||||
"originalFilter": null
|
||||
},
|
||||
"error": {
|
||||
"message": "Index `test` not found.",
|
||||
@ -519,7 +615,8 @@ async fn test_summarized_delete_document() {
|
||||
"canceledBy": null,
|
||||
"details": {
|
||||
"providedIds": 1,
|
||||
"deletedDocuments": 0
|
||||
"deletedDocuments": 0,
|
||||
"originalFilter": null
|
||||
},
|
||||
"error": null,
|
||||
"duration": "[duration]",
|
||||
|
@ -25,8 +25,13 @@ flatten-serde-json = { path = "../flatten-serde-json" }
|
||||
fst = "0.4.7"
|
||||
fxhash = "0.2.1"
|
||||
geoutils = "0.5.1"
|
||||
grenad = { version = "0.4.4", default-features = false, features = ["tempfile"] }
|
||||
heed = { git = "https://github.com/meilisearch/heed", tag = "v0.12.5", default-features = false, features = ["lmdb", "sync-read-txn"] }
|
||||
grenad = { version = "0.4.4", default-features = false, features = [
|
||||
"tempfile",
|
||||
] }
|
||||
heed = { git = "https://github.com/meilisearch/heed", tag = "v0.12.6", default-features = false, features = [
|
||||
"lmdb",
|
||||
"sync-read-txn",
|
||||
] }
|
||||
json-depth-checker = { path = "../json-depth-checker" }
|
||||
levenshtein_automata = { version = "0.2.1", features = ["fst_automaton"] }
|
||||
memmap2 = "0.5.10"
|
||||
@ -44,7 +49,12 @@ smallvec = "1.10.0"
|
||||
smartstring = "1.0.1"
|
||||
tempfile = "3.5.0"
|
||||
thiserror = "1.0.40"
|
||||
time = { version = "0.3.20", features = ["serde-well-known", "formatting", "parsing", "macros"] }
|
||||
time = { version = "0.3.20", features = [
|
||||
"serde-well-known",
|
||||
"formatting",
|
||||
"parsing",
|
||||
"macros",
|
||||
] }
|
||||
uuid = { version = "1.3.1", features = ["v4"] }
|
||||
|
||||
filter-parser = { path = "../filter-parser" }
|
||||
|
@ -126,7 +126,7 @@ only composed of alphanumeric characters (a-z A-Z 0-9), hyphens (-) and undersco
|
||||
InvalidSortableAttribute { field: String, valid_fields: BTreeSet<String> },
|
||||
#[error("{}", HeedError::BadOpenOptions)]
|
||||
InvalidLmdbOpenOptions,
|
||||
#[error("The sort ranking rule must be specified in the ranking rules settings to use the sort parameter at search time.")]
|
||||
#[error("You must specify where `sort` is listed in the rankingRules setting to use the sort parameter at search time.")]
|
||||
SortRankingRuleMissing,
|
||||
#[error("The database file is in an invalid state.")]
|
||||
InvalidStoreFile,
|
||||
|
@ -170,33 +170,46 @@ impl Index {
|
||||
unsafe { options.flag(Flags::MdbAlwaysFreePages) };
|
||||
|
||||
let env = options.open(path)?;
|
||||
let main = env.create_poly_database(Some(MAIN))?;
|
||||
let word_docids = env.create_database(Some(WORD_DOCIDS))?;
|
||||
let exact_word_docids = env.create_database(Some(EXACT_WORD_DOCIDS))?;
|
||||
let word_prefix_docids = env.create_database(Some(WORD_PREFIX_DOCIDS))?;
|
||||
let exact_word_prefix_docids = env.create_database(Some(EXACT_WORD_PREFIX_DOCIDS))?;
|
||||
let docid_word_positions = env.create_database(Some(DOCID_WORD_POSITIONS))?;
|
||||
let word_pair_proximity_docids = env.create_database(Some(WORD_PAIR_PROXIMITY_DOCIDS))?;
|
||||
let script_language_docids = env.create_database(Some(SCRIPT_LANGUAGE_DOCIDS))?;
|
||||
let mut wtxn = env.write_txn()?;
|
||||
let main = env.create_poly_database(&mut wtxn, Some(MAIN))?;
|
||||
let word_docids = env.create_database(&mut wtxn, Some(WORD_DOCIDS))?;
|
||||
let exact_word_docids = env.create_database(&mut wtxn, Some(EXACT_WORD_DOCIDS))?;
|
||||
let word_prefix_docids = env.create_database(&mut wtxn, Some(WORD_PREFIX_DOCIDS))?;
|
||||
let exact_word_prefix_docids =
|
||||
env.create_database(&mut wtxn, Some(EXACT_WORD_PREFIX_DOCIDS))?;
|
||||
let docid_word_positions = env.create_database(&mut wtxn, Some(DOCID_WORD_POSITIONS))?;
|
||||
let word_pair_proximity_docids =
|
||||
env.create_database(&mut wtxn, Some(WORD_PAIR_PROXIMITY_DOCIDS))?;
|
||||
let script_language_docids =
|
||||
env.create_database(&mut wtxn, Some(SCRIPT_LANGUAGE_DOCIDS))?;
|
||||
let word_prefix_pair_proximity_docids =
|
||||
env.create_database(Some(WORD_PREFIX_PAIR_PROXIMITY_DOCIDS))?;
|
||||
env.create_database(&mut wtxn, Some(WORD_PREFIX_PAIR_PROXIMITY_DOCIDS))?;
|
||||
let prefix_word_pair_proximity_docids =
|
||||
env.create_database(Some(PREFIX_WORD_PAIR_PROXIMITY_DOCIDS))?;
|
||||
let word_position_docids = env.create_database(Some(WORD_POSITION_DOCIDS))?;
|
||||
let word_fid_docids = env.create_database(Some(WORD_FIELD_ID_DOCIDS))?;
|
||||
let field_id_word_count_docids = env.create_database(Some(FIELD_ID_WORD_COUNT_DOCIDS))?;
|
||||
let word_prefix_position_docids = env.create_database(Some(WORD_PREFIX_POSITION_DOCIDS))?;
|
||||
let word_prefix_fid_docids = env.create_database(Some(WORD_PREFIX_FIELD_ID_DOCIDS))?;
|
||||
let facet_id_f64_docids = env.create_database(Some(FACET_ID_F64_DOCIDS))?;
|
||||
let facet_id_string_docids = env.create_database(Some(FACET_ID_STRING_DOCIDS))?;
|
||||
let facet_id_exists_docids = env.create_database(Some(FACET_ID_EXISTS_DOCIDS))?;
|
||||
let facet_id_is_null_docids = env.create_database(Some(FACET_ID_IS_NULL_DOCIDS))?;
|
||||
let facet_id_is_empty_docids = env.create_database(Some(FACET_ID_IS_EMPTY_DOCIDS))?;
|
||||
env.create_database(&mut wtxn, Some(PREFIX_WORD_PAIR_PROXIMITY_DOCIDS))?;
|
||||
let word_position_docids = env.create_database(&mut wtxn, Some(WORD_POSITION_DOCIDS))?;
|
||||
let word_fid_docids = env.create_database(&mut wtxn, Some(WORD_FIELD_ID_DOCIDS))?;
|
||||
let field_id_word_count_docids =
|
||||
env.create_database(&mut wtxn, Some(FIELD_ID_WORD_COUNT_DOCIDS))?;
|
||||
let word_prefix_position_docids =
|
||||
env.create_database(&mut wtxn, Some(WORD_PREFIX_POSITION_DOCIDS))?;
|
||||
let word_prefix_fid_docids =
|
||||
env.create_database(&mut wtxn, Some(WORD_PREFIX_FIELD_ID_DOCIDS))?;
|
||||
let facet_id_f64_docids = env.create_database(&mut wtxn, Some(FACET_ID_F64_DOCIDS))?;
|
||||
let facet_id_string_docids =
|
||||
env.create_database(&mut wtxn, Some(FACET_ID_STRING_DOCIDS))?;
|
||||
let facet_id_exists_docids =
|
||||
env.create_database(&mut wtxn, Some(FACET_ID_EXISTS_DOCIDS))?;
|
||||
let facet_id_is_null_docids =
|
||||
env.create_database(&mut wtxn, Some(FACET_ID_IS_NULL_DOCIDS))?;
|
||||
let facet_id_is_empty_docids =
|
||||
env.create_database(&mut wtxn, Some(FACET_ID_IS_EMPTY_DOCIDS))?;
|
||||
|
||||
let field_id_docid_facet_f64s = env.create_database(Some(FIELD_ID_DOCID_FACET_F64S))?;
|
||||
let field_id_docid_facet_f64s =
|
||||
env.create_database(&mut wtxn, Some(FIELD_ID_DOCID_FACET_F64S))?;
|
||||
let field_id_docid_facet_strings =
|
||||
env.create_database(Some(FIELD_ID_DOCID_FACET_STRINGS))?;
|
||||
let documents = env.create_database(Some(DOCUMENTS))?;
|
||||
env.create_database(&mut wtxn, Some(FIELD_ID_DOCID_FACET_STRINGS))?;
|
||||
let documents = env.create_database(&mut wtxn, Some(DOCUMENTS))?;
|
||||
wtxn.commit()?;
|
||||
|
||||
Index::set_creation_dates(&env, main, created_at, updated_at)?;
|
||||
|
||||
|
@ -46,7 +46,7 @@ use super::logger::SearchLogger;
|
||||
use super::query_graph::QueryNode;
|
||||
use super::ranking_rule_graph::{
|
||||
ConditionDocIdsCache, DeadEndsCache, ExactnessGraph, FidGraph, PositionGraph, ProximityGraph,
|
||||
RankingRuleGraph, RankingRuleGraphTrait, TypoGraph,
|
||||
RankingRuleGraph, RankingRuleGraphTrait, TypoGraph, WordsGraph,
|
||||
};
|
||||
use super::small_bitmap::SmallBitmap;
|
||||
use super::{QueryGraph, RankingRule, RankingRuleOutput, SearchContext};
|
||||
@ -54,6 +54,12 @@ use crate::search::new::query_term::LocatedQueryTermSubset;
|
||||
use crate::search::new::ranking_rule_graph::PathVisitor;
|
||||
use crate::{Result, TermsMatchingStrategy};
|
||||
|
||||
pub type Words = GraphBasedRankingRule<WordsGraph>;
|
||||
impl GraphBasedRankingRule<WordsGraph> {
|
||||
pub fn new(terms_matching_strategy: TermsMatchingStrategy) -> Self {
|
||||
Self::new_with_id("words".to_owned(), Some(terms_matching_strategy))
|
||||
}
|
||||
}
|
||||
pub type Proximity = GraphBasedRankingRule<ProximityGraph>;
|
||||
impl GraphBasedRankingRule<ProximityGraph> {
|
||||
pub fn new(terms_matching_strategy: Option<TermsMatchingStrategy>) -> Self {
|
||||
|
@ -4,7 +4,6 @@ use std::io::{BufWriter, Write};
|
||||
use std::path::{Path, PathBuf};
|
||||
use std::time::Instant;
|
||||
|
||||
// use rand::random;
|
||||
use roaring::RoaringBitmap;
|
||||
|
||||
use crate::search::new::interner::Interned;
|
||||
@ -13,6 +12,7 @@ use crate::search::new::query_term::LocatedQueryTermSubset;
|
||||
use crate::search::new::ranking_rule_graph::{
|
||||
Edge, FidCondition, FidGraph, PositionCondition, PositionGraph, ProximityCondition,
|
||||
ProximityGraph, RankingRuleGraph, RankingRuleGraphTrait, TypoCondition, TypoGraph,
|
||||
WordsCondition, WordsGraph,
|
||||
};
|
||||
use crate::search::new::ranking_rules::BoxRankingRule;
|
||||
use crate::search::new::{QueryGraph, QueryNode, RankingRule, SearchContext, SearchLogger};
|
||||
@ -24,11 +24,12 @@ pub enum SearchEvents {
|
||||
RankingRuleSkipBucket { ranking_rule_idx: usize, bucket_len: u64 },
|
||||
RankingRuleEndIteration { ranking_rule_idx: usize, universe_len: u64 },
|
||||
ExtendResults { new: Vec<u32> },
|
||||
WordsGraph { query_graph: QueryGraph },
|
||||
ProximityGraph { graph: RankingRuleGraph<ProximityGraph> },
|
||||
ProximityPaths { paths: Vec<Vec<Interned<ProximityCondition>>> },
|
||||
TypoGraph { graph: RankingRuleGraph<TypoGraph> },
|
||||
TypoPaths { paths: Vec<Vec<Interned<TypoCondition>>> },
|
||||
WordsGraph { graph: RankingRuleGraph<WordsGraph> },
|
||||
WordsPaths { paths: Vec<Vec<Interned<WordsCondition>>> },
|
||||
FidGraph { graph: RankingRuleGraph<FidGraph> },
|
||||
FidPaths { paths: Vec<Vec<Interned<FidCondition>>> },
|
||||
PositionGraph { graph: RankingRuleGraph<PositionGraph> },
|
||||
@ -139,8 +140,11 @@ impl SearchLogger<QueryGraph> for VisualSearchLogger {
|
||||
let Some(location) = self.location.last() else { return };
|
||||
match location {
|
||||
Location::Words => {
|
||||
if let Some(query_graph) = state.downcast_ref::<QueryGraph>() {
|
||||
self.events.push(SearchEvents::WordsGraph { query_graph: query_graph.clone() });
|
||||
if let Some(graph) = state.downcast_ref::<RankingRuleGraph<WordsGraph>>() {
|
||||
self.events.push(SearchEvents::WordsGraph { graph: graph.clone() });
|
||||
}
|
||||
if let Some(paths) = state.downcast_ref::<Vec<Vec<Interned<WordsCondition>>>>() {
|
||||
self.events.push(SearchEvents::WordsPaths { paths: paths.clone() });
|
||||
}
|
||||
}
|
||||
Location::Typo => {
|
||||
@ -329,7 +333,6 @@ impl<'ctx> DetailedLoggerFinish<'ctx> {
|
||||
SearchEvents::ExtendResults { new } => {
|
||||
self.write_extend_results(new)?;
|
||||
}
|
||||
SearchEvents::WordsGraph { query_graph } => self.write_words_graph(query_graph)?,
|
||||
SearchEvents::ProximityGraph { graph } => self.write_rr_graph(&graph)?,
|
||||
SearchEvents::ProximityPaths { paths } => {
|
||||
self.write_rr_graph_paths::<ProximityGraph>(paths)?;
|
||||
@ -338,6 +341,10 @@ impl<'ctx> DetailedLoggerFinish<'ctx> {
|
||||
SearchEvents::TypoPaths { paths } => {
|
||||
self.write_rr_graph_paths::<TypoGraph>(paths)?;
|
||||
}
|
||||
SearchEvents::WordsGraph { graph } => self.write_rr_graph(&graph)?,
|
||||
SearchEvents::WordsPaths { paths } => {
|
||||
self.write_rr_graph_paths::<WordsGraph>(paths)?;
|
||||
}
|
||||
SearchEvents::FidGraph { graph } => self.write_rr_graph(&graph)?,
|
||||
SearchEvents::FidPaths { paths } => {
|
||||
self.write_rr_graph_paths::<FidGraph>(paths)?;
|
||||
@ -455,7 +462,7 @@ fill: \"#B6E2D3\"
|
||||
shape: class
|
||||
max_nbr_typo: {}",
|
||||
term_subset.description(ctx),
|
||||
term_subset.max_nbr_typos(ctx)
|
||||
term_subset.max_typo_cost(ctx)
|
||||
)?;
|
||||
|
||||
for w in term_subset.all_single_words_except_prefix_db(ctx)? {
|
||||
@ -482,13 +489,6 @@ fill: \"#B6E2D3\"
|
||||
}
|
||||
Ok(())
|
||||
}
|
||||
fn write_words_graph(&mut self, qg: QueryGraph) -> Result<()> {
|
||||
self.make_new_file_for_internal_state_if_needed()?;
|
||||
|
||||
self.write_query_graph(&qg)?;
|
||||
|
||||
Ok(())
|
||||
}
|
||||
fn write_rr_graph<R: RankingRuleGraphTrait>(
|
||||
&mut self,
|
||||
graph: &RankingRuleGraph<R>,
|
||||
|
@ -15,11 +15,7 @@ mod resolve_query_graph;
|
||||
mod small_bitmap;
|
||||
|
||||
mod exact_attribute;
|
||||
// TODO: documentation + comments
|
||||
// implementation is currently an adaptation of the previous implementation to fit with the new model
|
||||
mod sort;
|
||||
// TODO: documentation + comments
|
||||
mod words;
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests;
|
||||
@ -43,10 +39,10 @@ use ranking_rules::{
|
||||
use resolve_query_graph::{compute_query_graph_docids, PhraseDocIdsCache};
|
||||
use roaring::RoaringBitmap;
|
||||
use sort::Sort;
|
||||
use words::Words;
|
||||
|
||||
use self::geo_sort::GeoSort;
|
||||
pub use self::geo_sort::Strategy as GeoSortStrategy;
|
||||
use self::graph_based_ranking_rule::Words;
|
||||
use self::interner::Interned;
|
||||
use crate::search::new::distinct::apply_distinct_rule;
|
||||
use crate::{AscDesc, DocumentId, Filter, Index, Member, Result, TermsMatchingStrategy, UserError};
|
||||
@ -202,6 +198,11 @@ fn get_ranking_rules_for_query_graph_search<'ctx>(
|
||||
let mut sorted_fields = HashSet::new();
|
||||
let mut geo_sorted = false;
|
||||
|
||||
// Don't add the `words` ranking rule if the term matching strategy is `All`
|
||||
if matches!(terms_matching_strategy, TermsMatchingStrategy::All) {
|
||||
words = true;
|
||||
}
|
||||
|
||||
let mut ranking_rules: Vec<BoxRankingRule<QueryGraph>> = vec![];
|
||||
let settings_ranking_rules = ctx.index.criteria(ctx.txn)?;
|
||||
for rr in settings_ranking_rules {
|
||||
@ -397,8 +398,8 @@ pub fn execute_search(
|
||||
None
|
||||
};
|
||||
let bucket_sort_output = if let Some(query_terms) = query_terms {
|
||||
let graph = QueryGraph::from_query(ctx, &query_terms)?;
|
||||
located_query_terms = Some(query_terms);
|
||||
let (graph, new_located_query_terms) = QueryGraph::from_query(ctx, &query_terms)?;
|
||||
located_query_terms = Some(new_located_query_terms);
|
||||
|
||||
let ranking_rules = get_ranking_rules_for_query_graph_search(
|
||||
ctx,
|
||||
|
@ -88,12 +88,15 @@ pub struct QueryGraph {
|
||||
}
|
||||
|
||||
impl QueryGraph {
|
||||
/// Build the query graph from the parsed user search query.
|
||||
/// Build the query graph from the parsed user search query, return an updated list of the located query terms
|
||||
/// which contains ngrams.
|
||||
pub fn from_query(
|
||||
ctx: &mut SearchContext,
|
||||
// NOTE: the terms here must be consecutive
|
||||
terms: &[LocatedQueryTerm],
|
||||
) -> Result<QueryGraph> {
|
||||
) -> Result<(QueryGraph, Vec<LocatedQueryTerm>)> {
|
||||
let mut new_located_query_terms = terms.to_vec();
|
||||
|
||||
let nbr_typos = number_of_typos_allowed(ctx)?;
|
||||
|
||||
let mut nodes_data: Vec<QueryNodeData> = vec![QueryNodeData::Start, QueryNodeData::End];
|
||||
@ -107,10 +110,11 @@ impl QueryGraph {
|
||||
let original_terms_len = terms.len();
|
||||
for term_idx in 0..original_terms_len {
|
||||
let mut new_nodes = vec![];
|
||||
|
||||
let new_node_idx = add_node(
|
||||
&mut nodes_data,
|
||||
QueryNodeData::Term(LocatedQueryTermSubset {
|
||||
term_subset: QueryTermSubset::full(Interned::from_raw(term_idx as u16)),
|
||||
term_subset: QueryTermSubset::full(terms[term_idx].value),
|
||||
positions: terms[term_idx].positions.clone(),
|
||||
term_ids: term_idx as u8..=term_idx as u8,
|
||||
}),
|
||||
@ -121,6 +125,7 @@ impl QueryGraph {
|
||||
if let Some(ngram) =
|
||||
query_term::make_ngram(ctx, &terms[term_idx - 1..=term_idx], &nbr_typos)?
|
||||
{
|
||||
new_located_query_terms.push(ngram.clone());
|
||||
let ngram_idx = add_node(
|
||||
&mut nodes_data,
|
||||
QueryNodeData::Term(LocatedQueryTermSubset {
|
||||
@ -136,6 +141,7 @@ impl QueryGraph {
|
||||
if let Some(ngram) =
|
||||
query_term::make_ngram(ctx, &terms[term_idx - 2..=term_idx], &nbr_typos)?
|
||||
{
|
||||
new_located_query_terms.push(ngram.clone());
|
||||
let ngram_idx = add_node(
|
||||
&mut nodes_data,
|
||||
QueryNodeData::Term(LocatedQueryTermSubset {
|
||||
@ -167,7 +173,7 @@ impl QueryGraph {
|
||||
let mut graph = QueryGraph { root_node, end_node, nodes };
|
||||
graph.build_initial_edges();
|
||||
|
||||
Ok(graph)
|
||||
Ok((graph, new_located_query_terms))
|
||||
}
|
||||
|
||||
/// Remove the given nodes, connecting all their predecessors to all their successors.
|
||||
|
@ -28,16 +28,14 @@ pub enum ZeroOrOneTypo {
|
||||
impl Interned<QueryTerm> {
|
||||
pub fn compute_fully_if_needed(self, ctx: &mut SearchContext) -> Result<()> {
|
||||
let s = ctx.term_interner.get_mut(self);
|
||||
if s.max_nbr_typos == 0 {
|
||||
s.one_typo = Lazy::Init(OneTypoTerm::default());
|
||||
s.two_typo = Lazy::Init(TwoTypoTerm::default());
|
||||
} else if s.max_nbr_typos == 1 && s.one_typo.is_uninit() {
|
||||
if s.max_levenshtein_distance <= 1 && s.one_typo.is_uninit() {
|
||||
assert!(s.two_typo.is_uninit());
|
||||
// Initialize one_typo subterm even if max_nbr_typo is 0 because of split words
|
||||
self.initialize_one_typo_subterm(ctx)?;
|
||||
let s = ctx.term_interner.get_mut(self);
|
||||
assert!(s.one_typo.is_init());
|
||||
s.two_typo = Lazy::Init(TwoTypoTerm::default());
|
||||
} else if s.max_nbr_typos > 1 && s.two_typo.is_uninit() {
|
||||
} else if s.max_levenshtein_distance > 1 && s.two_typo.is_uninit() {
|
||||
assert!(s.two_typo.is_uninit());
|
||||
self.initialize_one_and_two_typo_subterm(ctx)?;
|
||||
let s = ctx.term_interner.get_mut(self);
|
||||
@ -187,7 +185,7 @@ pub fn partially_initialized_term_from_word(
|
||||
original: ctx.word_interner.insert(word.to_owned()),
|
||||
ngram_words: None,
|
||||
is_prefix: false,
|
||||
max_nbr_typos: 0,
|
||||
max_levenshtein_distance: 0,
|
||||
zero_typo: <_>::default(),
|
||||
one_typo: Lazy::Init(<_>::default()),
|
||||
two_typo: Lazy::Init(<_>::default()),
|
||||
@ -258,7 +256,7 @@ pub fn partially_initialized_term_from_word(
|
||||
Ok(QueryTerm {
|
||||
original: word_interned,
|
||||
ngram_words: None,
|
||||
max_nbr_typos: max_typo,
|
||||
max_levenshtein_distance: max_typo,
|
||||
is_prefix,
|
||||
zero_typo,
|
||||
one_typo: Lazy::Uninit,
|
||||
@ -277,7 +275,16 @@ fn find_split_words(ctx: &mut SearchContext, word: &str) -> Result<Option<Intern
|
||||
impl Interned<QueryTerm> {
|
||||
fn initialize_one_typo_subterm(self, ctx: &mut SearchContext) -> Result<()> {
|
||||
let self_mut = ctx.term_interner.get_mut(self);
|
||||
let QueryTerm { original, is_prefix, one_typo, .. } = self_mut;
|
||||
|
||||
let allows_split_words = self_mut.allows_split_words();
|
||||
let QueryTerm {
|
||||
original,
|
||||
is_prefix,
|
||||
one_typo,
|
||||
max_levenshtein_distance: max_nbr_typos,
|
||||
..
|
||||
} = self_mut;
|
||||
|
||||
let original = *original;
|
||||
let is_prefix = *is_prefix;
|
||||
// let original_str = ctx.word_interner.get(*original).to_owned();
|
||||
@ -286,6 +293,7 @@ impl Interned<QueryTerm> {
|
||||
}
|
||||
let mut one_typo_words = BTreeSet::new();
|
||||
|
||||
if *max_nbr_typos > 0 {
|
||||
find_zero_one_typo_derivations(ctx, original, is_prefix, |derived_word, nbr_typos| {
|
||||
match nbr_typos {
|
||||
ZeroOrOneTypo::Zero => {}
|
||||
@ -299,13 +307,19 @@ impl Interned<QueryTerm> {
|
||||
}
|
||||
Ok(ControlFlow::Continue(()))
|
||||
})?;
|
||||
}
|
||||
|
||||
let split_words = if allows_split_words {
|
||||
let original_str = ctx.word_interner.get(original).to_owned();
|
||||
let split_words = find_split_words(ctx, original_str.as_str())?;
|
||||
find_split_words(ctx, original_str.as_str())?
|
||||
} else {
|
||||
None
|
||||
};
|
||||
|
||||
let self_mut = ctx.term_interner.get_mut(self);
|
||||
|
||||
// Only add the split words to the derivations if:
|
||||
// 1. the term is not an ngram; OR
|
||||
// 1. the term is neither an ngram nor a phrase; OR
|
||||
// 2. the term is an ngram, but the split words are different from the ngram's component words
|
||||
let split_words = if let Some((ngram_words, split_words)) =
|
||||
self_mut.ngram_words.as_ref().zip(split_words.as_ref())
|
||||
@ -327,7 +341,13 @@ impl Interned<QueryTerm> {
|
||||
}
|
||||
fn initialize_one_and_two_typo_subterm(self, ctx: &mut SearchContext) -> Result<()> {
|
||||
let self_mut = ctx.term_interner.get_mut(self);
|
||||
let QueryTerm { original, is_prefix, two_typo, .. } = self_mut;
|
||||
let QueryTerm {
|
||||
original,
|
||||
is_prefix,
|
||||
two_typo,
|
||||
max_levenshtein_distance: max_nbr_typos,
|
||||
..
|
||||
} = self_mut;
|
||||
let original_str = ctx.word_interner.get(*original).to_owned();
|
||||
if two_typo.is_init() {
|
||||
return Ok(());
|
||||
@ -335,6 +355,7 @@ impl Interned<QueryTerm> {
|
||||
let mut one_typo_words = BTreeSet::new();
|
||||
let mut two_typo_words = BTreeSet::new();
|
||||
|
||||
if *max_nbr_typos > 0 {
|
||||
find_zero_one_two_typo_derivations(
|
||||
*original,
|
||||
*is_prefix,
|
||||
@ -363,6 +384,8 @@ impl Interned<QueryTerm> {
|
||||
Ok(ControlFlow::Continue(()))
|
||||
},
|
||||
)?;
|
||||
}
|
||||
|
||||
let split_words = find_split_words(ctx, original_str.as_str())?;
|
||||
let self_mut = ctx.term_interner.get_mut(self);
|
||||
|
||||
|
@ -43,7 +43,7 @@ pub struct QueryTermSubset {
|
||||
pub struct QueryTerm {
|
||||
original: Interned<String>,
|
||||
ngram_words: Option<Vec<Interned<String>>>,
|
||||
max_nbr_typos: u8,
|
||||
max_levenshtein_distance: u8,
|
||||
is_prefix: bool,
|
||||
zero_typo: ZeroTypoTerm,
|
||||
// May not be computed yet
|
||||
@ -342,10 +342,16 @@ impl QueryTermSubset {
|
||||
}
|
||||
None
|
||||
}
|
||||
pub fn max_nbr_typos(&self, ctx: &SearchContext) -> u8 {
|
||||
pub fn max_typo_cost(&self, ctx: &SearchContext) -> u8 {
|
||||
let t = ctx.term_interner.get(self.original);
|
||||
match t.max_nbr_typos {
|
||||
0 => 0,
|
||||
match t.max_levenshtein_distance {
|
||||
0 => {
|
||||
if t.allows_split_words() {
|
||||
1
|
||||
} else {
|
||||
0
|
||||
}
|
||||
}
|
||||
1 => {
|
||||
if self.one_typo_subset.is_empty() {
|
||||
0
|
||||
@ -438,6 +444,9 @@ impl QueryTerm {
|
||||
|
||||
self.zero_typo.is_empty() && one_typo.is_empty() && two_typo.is_empty()
|
||||
}
|
||||
fn allows_split_words(&self) -> bool {
|
||||
self.zero_typo.phrase.is_none()
|
||||
}
|
||||
}
|
||||
|
||||
impl Interned<QueryTerm> {
|
||||
|
@ -77,13 +77,9 @@ pub fn located_query_terms_from_tokens(
|
||||
}
|
||||
}
|
||||
TokenKind::Separator(separator_kind) => {
|
||||
match separator_kind {
|
||||
SeparatorKind::Hard => {
|
||||
position += 1;
|
||||
}
|
||||
SeparatorKind::Soft => {
|
||||
position += 0;
|
||||
}
|
||||
// add penalty for hard separators
|
||||
if let SeparatorKind::Hard = separator_kind {
|
||||
position = position.wrapping_add(1);
|
||||
}
|
||||
|
||||
phrase = 'phrase: {
|
||||
@ -217,7 +213,7 @@ pub fn make_ngram(
|
||||
original: ngram_str_interned,
|
||||
ngram_words: Some(words_interned),
|
||||
is_prefix,
|
||||
max_nbr_typos,
|
||||
max_levenshtein_distance: max_nbr_typos,
|
||||
zero_typo: term.zero_typo,
|
||||
one_typo: Lazy::Uninit,
|
||||
two_typo: Lazy::Uninit,
|
||||
@ -271,7 +267,7 @@ impl PhraseBuilder {
|
||||
QueryTerm {
|
||||
original: ctx.word_interner.insert(phrase_desc),
|
||||
ngram_words: None,
|
||||
max_nbr_typos: 0,
|
||||
max_levenshtein_distance: 0,
|
||||
is_prefix: false,
|
||||
zero_typo: ZeroTypoTerm {
|
||||
phrase: Some(phrase),
|
||||
@ -288,3 +284,36 @@ impl PhraseBuilder {
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use charabia::TokenizerBuilder;
|
||||
|
||||
use super::*;
|
||||
use crate::index::tests::TempIndex;
|
||||
|
||||
fn temp_index_with_documents() -> TempIndex {
|
||||
let temp_index = TempIndex::new();
|
||||
temp_index
|
||||
.add_documents(documents!([
|
||||
{ "id": 1, "name": "split this world westfali westfalia the Ŵôřlḑôle" },
|
||||
{ "id": 2, "name": "Westfália" },
|
||||
{ "id": 3, "name": "Ŵôřlḑôle" },
|
||||
]))
|
||||
.unwrap();
|
||||
temp_index
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn start_with_hard_separator() -> Result<()> {
|
||||
let tokenizer = TokenizerBuilder::new().build();
|
||||
let tokens = tokenizer.tokenize(".");
|
||||
let index = temp_index_with_documents();
|
||||
let rtxn = index.read_txn()?;
|
||||
let mut ctx = SearchContext::new(&index, &rtxn);
|
||||
// panics with `attempt to add with overflow` before <https://github.com/meilisearch/meilisearch/issues/3785>
|
||||
let located_query_terms = located_query_terms_from_tokens(&mut ctx, tokens, None)?;
|
||||
assert!(located_query_terms.is_empty());
|
||||
Ok(())
|
||||
}
|
||||
}
|
||||
|
@ -205,18 +205,12 @@ impl<G: RankingRuleGraphTrait> VisitorState<G> {
|
||||
impl<G: RankingRuleGraphTrait> RankingRuleGraph<G> {
|
||||
pub fn find_all_costs_to_end(&self) -> MappedInterner<QueryNode, Vec<u64>> {
|
||||
let mut costs_to_end = self.query_graph.nodes.map(|_| vec![]);
|
||||
let mut enqueued = SmallBitmap::new(self.query_graph.nodes.len());
|
||||
|
||||
let mut node_stack = VecDeque::new();
|
||||
|
||||
self.traverse_breadth_first_backward(self.query_graph.end_node, |cur_node| {
|
||||
if cur_node == self.query_graph.end_node {
|
||||
*costs_to_end.get_mut(self.query_graph.end_node) = vec![0];
|
||||
|
||||
for prev_node in self.query_graph.nodes.get(self.query_graph.end_node).predecessors.iter() {
|
||||
node_stack.push_back(prev_node);
|
||||
enqueued.insert(prev_node);
|
||||
return;
|
||||
}
|
||||
|
||||
while let Some(cur_node) = node_stack.pop_front() {
|
||||
let mut self_costs = Vec::<u64>::new();
|
||||
|
||||
let cur_node_edges = &self.edges_of_node.get(cur_node);
|
||||
@ -232,13 +226,7 @@ impl<G: RankingRuleGraphTrait> RankingRuleGraph<G> {
|
||||
self_costs.dedup();
|
||||
|
||||
*costs_to_end.get_mut(cur_node) = self_costs;
|
||||
for prev_node in self.query_graph.nodes.get(cur_node).predecessors.iter() {
|
||||
if !enqueued.contains(prev_node) {
|
||||
node_stack.push_back(prev_node);
|
||||
enqueued.insert(prev_node);
|
||||
}
|
||||
}
|
||||
}
|
||||
});
|
||||
costs_to_end
|
||||
}
|
||||
|
||||
@ -247,17 +235,12 @@ impl<G: RankingRuleGraphTrait> RankingRuleGraph<G> {
|
||||
node_with_removed_outgoing_conditions: Interned<QueryNode>,
|
||||
costs: &mut MappedInterner<QueryNode, Vec<u64>>,
|
||||
) {
|
||||
let mut enqueued = SmallBitmap::new(self.query_graph.nodes.len());
|
||||
let mut node_stack = VecDeque::new();
|
||||
|
||||
enqueued.insert(node_with_removed_outgoing_conditions);
|
||||
node_stack.push_back(node_with_removed_outgoing_conditions);
|
||||
|
||||
'main_loop: while let Some(cur_node) = node_stack.pop_front() {
|
||||
// Traverse the graph backward from the target node, recomputing the cost for each of its predecessors.
|
||||
// We first check that no other node is contributing the same total cost to a predecessor before removing
|
||||
// the cost from the predecessor.
|
||||
self.traverse_breadth_first_backward(node_with_removed_outgoing_conditions, |cur_node| {
|
||||
let mut costs_to_remove = FxHashSet::default();
|
||||
for c in costs.get(cur_node) {
|
||||
costs_to_remove.insert(*c);
|
||||
}
|
||||
costs_to_remove.extend(costs.get(cur_node).iter().copied());
|
||||
|
||||
let cur_node_edges = &self.edges_of_node.get(cur_node);
|
||||
for edge_idx in cur_node_edges.iter() {
|
||||
@ -265,22 +248,75 @@ impl<G: RankingRuleGraphTrait> RankingRuleGraph<G> {
|
||||
for cost in costs.get(edge.dest_node).iter() {
|
||||
costs_to_remove.remove(&(*cost + edge.cost as u64));
|
||||
if costs_to_remove.is_empty() {
|
||||
continue 'main_loop;
|
||||
return;
|
||||
}
|
||||
}
|
||||
}
|
||||
if costs_to_remove.is_empty() {
|
||||
continue 'main_loop;
|
||||
return;
|
||||
}
|
||||
let mut new_costs = BTreeSet::from_iter(costs.get(cur_node).iter().copied());
|
||||
for c in costs_to_remove {
|
||||
new_costs.remove(&c);
|
||||
}
|
||||
*costs.get_mut(cur_node) = new_costs.into_iter().collect();
|
||||
});
|
||||
}
|
||||
|
||||
/// Traverse the graph backwards from the given node such that every time
|
||||
/// a node is visited, we are guaranteed that all its successors either:
|
||||
/// 1. have already been visited; OR
|
||||
/// 2. were not reachable from the given node
|
||||
pub fn traverse_breadth_first_backward(
|
||||
&self,
|
||||
from: Interned<QueryNode>,
|
||||
mut visit: impl FnMut(Interned<QueryNode>),
|
||||
) {
|
||||
let mut reachable = SmallBitmap::for_interned_values_in(&self.query_graph.nodes);
|
||||
{
|
||||
// go backward to get the set of all reachable nodes from the given node
|
||||
// the nodes that are not reachable will be set as `visited`
|
||||
let mut stack = VecDeque::new();
|
||||
let mut enqueued = SmallBitmap::for_interned_values_in(&self.query_graph.nodes);
|
||||
enqueued.insert(from);
|
||||
stack.push_back(from);
|
||||
while let Some(n) = stack.pop_front() {
|
||||
if reachable.contains(n) {
|
||||
continue;
|
||||
}
|
||||
reachable.insert(n);
|
||||
for prev_node in self.query_graph.nodes.get(n).predecessors.iter() {
|
||||
if !enqueued.contains(prev_node) && !reachable.contains(prev_node) {
|
||||
stack.push_back(prev_node);
|
||||
enqueued.insert(prev_node);
|
||||
}
|
||||
}
|
||||
}
|
||||
};
|
||||
let mut unreachable_or_visited =
|
||||
SmallBitmap::for_interned_values_in(&self.query_graph.nodes);
|
||||
for (n, _) in self.query_graph.nodes.iter() {
|
||||
if !reachable.contains(n) {
|
||||
unreachable_or_visited.insert(n);
|
||||
}
|
||||
}
|
||||
|
||||
let mut enqueued = SmallBitmap::for_interned_values_in(&self.query_graph.nodes);
|
||||
let mut stack = VecDeque::new();
|
||||
|
||||
enqueued.insert(from);
|
||||
stack.push_back(from);
|
||||
|
||||
while let Some(cur_node) = stack.pop_front() {
|
||||
if !self.query_graph.nodes.get(cur_node).successors.is_subset(&unreachable_or_visited) {
|
||||
stack.push_back(cur_node);
|
||||
continue;
|
||||
}
|
||||
unreachable_or_visited.insert(cur_node);
|
||||
visit(cur_node);
|
||||
for prev_node in self.query_graph.nodes.get(cur_node).predecessors.iter() {
|
||||
if !enqueued.contains(prev_node) {
|
||||
node_stack.push_back(prev_node);
|
||||
if !enqueued.contains(prev_node) && !unreachable_or_visited.contains(prev_node) {
|
||||
stack.push_back(prev_node);
|
||||
enqueued.insert(prev_node);
|
||||
}
|
||||
}
|
||||
|
@ -20,6 +20,8 @@ mod position;
|
||||
mod proximity;
|
||||
/// Implementation of the `typo` ranking rule
|
||||
mod typo;
|
||||
/// Implementation of the `words` ranking rule
|
||||
mod words;
|
||||
|
||||
use std::collections::BTreeSet;
|
||||
use std::hash::Hash;
|
||||
@ -33,6 +35,7 @@ pub use position::{PositionCondition, PositionGraph};
|
||||
pub use proximity::{ProximityCondition, ProximityGraph};
|
||||
use roaring::RoaringBitmap;
|
||||
pub use typo::{TypoCondition, TypoGraph};
|
||||
pub use words::{WordsCondition, WordsGraph};
|
||||
|
||||
use super::interner::{DedupInterner, FixedSizeInterner, Interned, MappedInterner};
|
||||
use super::query_term::LocatedQueryTermSubset;
|
||||
|
@ -111,23 +111,16 @@ impl RankingRuleGraphTrait for PositionGraph {
|
||||
|
||||
fn cost_from_position(sum_positions: u32) -> u32 {
|
||||
match sum_positions {
|
||||
0 | 1 | 2 | 3 => sum_positions,
|
||||
4 | 5 => 4,
|
||||
6 | 7 => 5,
|
||||
8 | 9 => 6,
|
||||
10 | 11 => 7,
|
||||
12 | 13 => 8,
|
||||
14 | 15 => 9,
|
||||
16 | 17..=24 => 10,
|
||||
25..=32 => 11,
|
||||
33..=64 => 12,
|
||||
65..=128 => 13,
|
||||
129..=256 => 14,
|
||||
257..=512 => 15,
|
||||
513..=1024 => 16,
|
||||
1025..=2048 => 17,
|
||||
2049..=4096 => 18,
|
||||
4097..=8192 => 19,
|
||||
_ => 20,
|
||||
0 => 0,
|
||||
1 => 1,
|
||||
2..=4 => 2,
|
||||
5..=7 => 3,
|
||||
8..=11 => 4,
|
||||
12..=16 => 5,
|
||||
17..=24 => 6,
|
||||
25..=64 => 7,
|
||||
65..=256 => 8,
|
||||
257..=1024 => 9,
|
||||
_ => 10,
|
||||
}
|
||||
}
|
||||
|
@ -50,7 +50,7 @@ impl RankingRuleGraphTrait for TypoGraph {
|
||||
// 3-gram -> equivalent to 2 typos
|
||||
let base_cost = if term.term_ids.len() == 1 { 0 } else { term.term_ids.len() as u32 };
|
||||
|
||||
for nbr_typos in 0..=term.term_subset.max_nbr_typos(ctx) {
|
||||
for nbr_typos in 0..=term.term_subset.max_typo_cost(ctx) {
|
||||
let mut term = term.clone();
|
||||
match nbr_typos {
|
||||
0 => {
|
||||
|
49
milli/src/search/new/ranking_rule_graph/words/mod.rs
Normal file
49
milli/src/search/new/ranking_rule_graph/words/mod.rs
Normal file
@ -0,0 +1,49 @@
|
||||
use roaring::RoaringBitmap;
|
||||
|
||||
use super::{ComputedCondition, RankingRuleGraphTrait};
|
||||
use crate::search::new::interner::{DedupInterner, Interned};
|
||||
use crate::search::new::query_term::LocatedQueryTermSubset;
|
||||
use crate::search::new::resolve_query_graph::compute_query_term_subset_docids;
|
||||
use crate::search::new::SearchContext;
|
||||
use crate::Result;
|
||||
|
||||
#[derive(Clone, PartialEq, Eq, Hash)]
|
||||
pub struct WordsCondition {
|
||||
term: LocatedQueryTermSubset,
|
||||
}
|
||||
|
||||
pub enum WordsGraph {}
|
||||
|
||||
impl RankingRuleGraphTrait for WordsGraph {
|
||||
type Condition = WordsCondition;
|
||||
|
||||
fn resolve_condition(
|
||||
ctx: &mut SearchContext,
|
||||
condition: &Self::Condition,
|
||||
universe: &RoaringBitmap,
|
||||
) -> Result<ComputedCondition> {
|
||||
let WordsCondition { term, .. } = condition;
|
||||
// maybe compute_query_term_subset_docids should accept a universe as argument
|
||||
let mut docids = compute_query_term_subset_docids(ctx, &term.term_subset)?;
|
||||
docids &= universe;
|
||||
|
||||
Ok(ComputedCondition {
|
||||
docids,
|
||||
universe_len: universe.len(),
|
||||
start_term_subset: None,
|
||||
end_term_subset: term.clone(),
|
||||
})
|
||||
}
|
||||
|
||||
fn build_edges(
|
||||
_ctx: &mut SearchContext,
|
||||
conditions_interner: &mut DedupInterner<Self::Condition>,
|
||||
_from: Option<&LocatedQueryTermSubset>,
|
||||
to_term: &LocatedQueryTermSubset,
|
||||
) -> Result<Vec<(u32, Interned<Self::Condition>)>> {
|
||||
Ok(vec![(
|
||||
to_term.term_ids.len() as u32,
|
||||
conditions_interner.insert(WordsCondition { term: to_term.clone() }),
|
||||
)])
|
||||
}
|
||||
}
|
@ -138,7 +138,7 @@ fn test_attribute_position_simple() {
|
||||
s.terms_matching_strategy(TermsMatchingStrategy::All);
|
||||
s.query("quick brown");
|
||||
let SearchResult { documents_ids, .. } = s.execute().unwrap();
|
||||
insta::assert_snapshot!(format!("{documents_ids:?}"), @"[10, 11, 12, 13, 3, 4, 2, 1, 0, 6, 8, 7, 9, 5]");
|
||||
insta::assert_snapshot!(format!("{documents_ids:?}"), @"[10, 11, 12, 13, 2, 3, 4, 1, 0, 6, 8, 7, 9, 5]");
|
||||
}
|
||||
#[test]
|
||||
fn test_attribute_position_repeated() {
|
||||
@ -163,7 +163,7 @@ fn test_attribute_position_different_fields() {
|
||||
s.terms_matching_strategy(TermsMatchingStrategy::All);
|
||||
s.query("quick brown");
|
||||
let SearchResult { documents_ids, .. } = s.execute().unwrap();
|
||||
insta::assert_snapshot!(format!("{documents_ids:?}"), @"[10, 11, 12, 13, 3, 4, 2, 1, 0, 6, 8, 7, 9, 5]");
|
||||
insta::assert_snapshot!(format!("{documents_ids:?}"), @"[10, 11, 12, 13, 2, 3, 4, 1, 0, 6, 8, 7, 9, 5]");
|
||||
}
|
||||
|
||||
#[test]
|
||||
@ -176,5 +176,5 @@ fn test_attribute_position_ngrams() {
|
||||
s.terms_matching_strategy(TermsMatchingStrategy::All);
|
||||
s.query("quick brown");
|
||||
let SearchResult { documents_ids, .. } = s.execute().unwrap();
|
||||
insta::assert_snapshot!(format!("{documents_ids:?}"), @"[10, 11, 12, 13, 3, 4, 2, 1, 0, 6, 8, 7, 9, 5]");
|
||||
insta::assert_snapshot!(format!("{documents_ids:?}"), @"[10, 11, 12, 13, 2, 3, 4, 1, 0, 6, 8, 7, 9, 5]");
|
||||
}
|
||||
|
@ -3,9 +3,9 @@ This module tests the following properties:
|
||||
|
||||
1. Two consecutive words from a query can be combined into a "2gram"
|
||||
2. Three consecutive words from a query can be combined into a "3gram"
|
||||
3. A word from the query can be split into two consecutive words (split words)
|
||||
3. A word from the query can be split into two consecutive words (split words), no matter how short it is
|
||||
4. A 2gram can be split into two words
|
||||
5. A 3gram cannot be split into two words
|
||||
5. A 3gram can be split into two words
|
||||
6. 2grams can contain up to 1 typo
|
||||
7. 3grams cannot have typos
|
||||
8. 2grams and 3grams can be prefix tolerant
|
||||
@ -14,6 +14,7 @@ This module tests the following properties:
|
||||
11. Disabling typo tolerance does not disable ngram tolerance
|
||||
12. Prefix tolerance is disabled for the last word if a space follows it
|
||||
13. Ngrams cannot be formed by combining a phrase and a word or two phrases
|
||||
14. Split words are not disabled by the `disableOnAttribute` or `disableOnWords` typo settings
|
||||
*/
|
||||
|
||||
use crate::index::tests::TempIndex;
|
||||
@ -56,6 +57,10 @@ fn create_index() -> TempIndex {
|
||||
{
|
||||
"id": 5,
|
||||
"text": "sunflowering is not a verb"
|
||||
},
|
||||
{
|
||||
"id": 6,
|
||||
"text": "xy z"
|
||||
}
|
||||
]))
|
||||
.unwrap();
|
||||
@ -263,11 +268,12 @@ fn test_disable_split_words() {
|
||||
s.query("sunflower ");
|
||||
let SearchResult { documents_ids, .. } = s.execute().unwrap();
|
||||
// no document containing `sun flower`
|
||||
insta::assert_snapshot!(format!("{documents_ids:?}"), @"[3]");
|
||||
insta::assert_snapshot!(format!("{documents_ids:?}"), @"[1, 3]");
|
||||
let texts = collect_field_values(&index, &txn, "text", &documents_ids);
|
||||
insta::assert_debug_snapshot!(texts, @r###"
|
||||
[
|
||||
"\"the sun flower is tall\"",
|
||||
"\"the sunflower is tall\"",
|
||||
]
|
||||
"###);
|
||||
}
|
||||
@ -307,10 +313,11 @@ fn test_3gram_no_split_words() {
|
||||
let SearchResult { documents_ids, .. } = s.execute().unwrap();
|
||||
|
||||
// no document with `sun flower`
|
||||
insta::assert_snapshot!(format!("{documents_ids:?}"), @"[2, 3, 5]");
|
||||
insta::assert_snapshot!(format!("{documents_ids:?}"), @"[1, 2, 3, 5]");
|
||||
let texts = collect_field_values(&index, &txn, "text", &documents_ids);
|
||||
insta::assert_debug_snapshot!(texts, @r###"
|
||||
[
|
||||
"\"the sun flower is tall\"",
|
||||
"\"the sunflowers are pretty\"",
|
||||
"\"the sunflower is tall\"",
|
||||
"\"sunflowering is not a verb\"",
|
||||
@ -369,3 +376,50 @@ fn test_no_ngram_phrases() {
|
||||
]
|
||||
"###);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_short_split_words() {
|
||||
let index = create_index();
|
||||
let txn = index.read_txn().unwrap();
|
||||
|
||||
let mut s = Search::new(&txn, &index);
|
||||
s.terms_matching_strategy(TermsMatchingStrategy::All);
|
||||
s.query("xyz");
|
||||
let SearchResult { documents_ids, .. } = s.execute().unwrap();
|
||||
|
||||
insta::assert_snapshot!(format!("{documents_ids:?}"), @"[6]");
|
||||
let texts = collect_field_values(&index, &txn, "text", &documents_ids);
|
||||
insta::assert_debug_snapshot!(texts, @r###"
|
||||
[
|
||||
"\"xy z\"",
|
||||
]
|
||||
"###);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_split_words_never_disabled() {
|
||||
let index = create_index();
|
||||
|
||||
index
|
||||
.update_settings(|s| {
|
||||
s.set_exact_words(["sunflower"].iter().map(ToString::to_string).collect());
|
||||
s.set_exact_attributes(["text"].iter().map(ToString::to_string).collect());
|
||||
})
|
||||
.unwrap();
|
||||
|
||||
let txn = index.read_txn().unwrap();
|
||||
|
||||
let mut s = Search::new(&txn, &index);
|
||||
s.terms_matching_strategy(TermsMatchingStrategy::All);
|
||||
s.query("the sunflower is tall");
|
||||
let SearchResult { documents_ids, .. } = s.execute().unwrap();
|
||||
|
||||
insta::assert_snapshot!(format!("{documents_ids:?}"), @"[1, 3]");
|
||||
let texts = collect_field_values(&index, &txn, "text", &documents_ids);
|
||||
insta::assert_debug_snapshot!(texts, @r###"
|
||||
[
|
||||
"\"the sun flower is tall\"",
|
||||
"\"the sunflower is tall\"",
|
||||
]
|
||||
"###);
|
||||
}
|
||||
|
@ -9,7 +9,7 @@ This module tests the following properties:
|
||||
6. A typo on the first letter of a word counts as two typos
|
||||
7. Phrases are not typo tolerant
|
||||
8. 2grams can have 1 typo if they are larger than `min_word_len_two_typos`
|
||||
9. 3grams are not typo tolerant
|
||||
9. 3grams are not typo tolerant (but they can be split into two words)
|
||||
10. The `typo` ranking rule assumes the role of the `words` ranking rule implicitly
|
||||
if `words` doesn't exist before it.
|
||||
11. The `typo` ranking rule places documents with the same number of typos in the same bucket
|
||||
@ -287,15 +287,16 @@ fn test_typo_exact_word() {
|
||||
]
|
||||
"###);
|
||||
|
||||
// exact words do not disable prefix (sunflowering OK, but no sunflowar or sun flower)
|
||||
// exact words do not disable prefix (sunflowering OK, but no sunflowar)
|
||||
let mut s = Search::new(&txn, &index);
|
||||
s.terms_matching_strategy(TermsMatchingStrategy::All);
|
||||
s.query("network interconnection sunflower");
|
||||
let SearchResult { documents_ids, .. } = s.execute().unwrap();
|
||||
insta::assert_snapshot!(format!("{documents_ids:?}"), @"[16, 18]");
|
||||
insta::assert_snapshot!(format!("{documents_ids:?}"), @"[16, 17, 18]");
|
||||
let texts = collect_field_values(&index, &txn, "text", &documents_ids);
|
||||
insta::assert_debug_snapshot!(texts, @r###"
|
||||
[
|
||||
"\"network interconnection sunflower\"",
|
||||
"\"network interconnection sun flower\"",
|
||||
"\"network interconnection sunflowering\"",
|
||||
]
|
||||
|
@ -1,87 +0,0 @@
|
||||
use roaring::RoaringBitmap;
|
||||
|
||||
use super::logger::SearchLogger;
|
||||
use super::query_graph::QueryNode;
|
||||
use super::resolve_query_graph::compute_query_graph_docids;
|
||||
use super::small_bitmap::SmallBitmap;
|
||||
use super::{QueryGraph, RankingRule, RankingRuleOutput, SearchContext};
|
||||
use crate::{Result, TermsMatchingStrategy};
|
||||
|
||||
pub struct Words {
|
||||
exhausted: bool, // TODO: remove
|
||||
query_graph: Option<QueryGraph>,
|
||||
nodes_to_remove: Vec<SmallBitmap<QueryNode>>,
|
||||
terms_matching_strategy: TermsMatchingStrategy,
|
||||
}
|
||||
impl Words {
|
||||
pub fn new(terms_matching_strategy: TermsMatchingStrategy) -> Self {
|
||||
Self {
|
||||
exhausted: true,
|
||||
query_graph: None,
|
||||
nodes_to_remove: vec![],
|
||||
terms_matching_strategy,
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> RankingRule<'ctx, QueryGraph> for Words {
|
||||
fn id(&self) -> String {
|
||||
"words".to_owned()
|
||||
}
|
||||
fn start_iteration(
|
||||
&mut self,
|
||||
ctx: &mut SearchContext<'ctx>,
|
||||
_logger: &mut dyn SearchLogger<QueryGraph>,
|
||||
_universe: &RoaringBitmap,
|
||||
parent_query_graph: &QueryGraph,
|
||||
) -> Result<()> {
|
||||
self.exhausted = false;
|
||||
self.query_graph = Some(parent_query_graph.clone());
|
||||
self.nodes_to_remove = match self.terms_matching_strategy {
|
||||
TermsMatchingStrategy::Last => {
|
||||
let mut ns = parent_query_graph.removal_order_for_terms_matching_strategy_last(ctx);
|
||||
ns.reverse();
|
||||
ns
|
||||
}
|
||||
TermsMatchingStrategy::All => {
|
||||
vec![]
|
||||
}
|
||||
};
|
||||
Ok(())
|
||||
}
|
||||
|
||||
fn next_bucket(
|
||||
&mut self,
|
||||
ctx: &mut SearchContext<'ctx>,
|
||||
logger: &mut dyn SearchLogger<QueryGraph>,
|
||||
universe: &RoaringBitmap,
|
||||
) -> Result<Option<RankingRuleOutput<QueryGraph>>> {
|
||||
if self.exhausted {
|
||||
return Ok(None);
|
||||
}
|
||||
let Some(query_graph) = &mut self.query_graph else { panic!() };
|
||||
logger.log_internal_state(query_graph);
|
||||
|
||||
let this_bucket = compute_query_graph_docids(ctx, query_graph, universe)?;
|
||||
|
||||
let child_query_graph = query_graph.clone();
|
||||
|
||||
if self.nodes_to_remove.is_empty() {
|
||||
self.exhausted = true;
|
||||
} else {
|
||||
let nodes_to_remove = self.nodes_to_remove.pop().unwrap();
|
||||
query_graph.remove_nodes_keep_edges(&nodes_to_remove.iter().collect::<Vec<_>>());
|
||||
}
|
||||
Ok(Some(RankingRuleOutput { query: child_query_graph, candidates: this_bucket }))
|
||||
}
|
||||
|
||||
fn end_iteration(
|
||||
&mut self,
|
||||
_ctx: &mut SearchContext<'ctx>,
|
||||
_logger: &mut dyn SearchLogger<QueryGraph>,
|
||||
) {
|
||||
self.exhausted = true;
|
||||
self.nodes_to_remove = vec![];
|
||||
self.query_graph = None;
|
||||
}
|
||||
}
|
@ -261,7 +261,9 @@ pub(crate) mod test_helpers {
|
||||
let options = options.map_size(4096 * 4 * 1000 * 100);
|
||||
let tempdir = tempfile::TempDir::new().unwrap();
|
||||
let env = options.open(tempdir.path()).unwrap();
|
||||
let content = env.create_database(None).unwrap();
|
||||
let mut wtxn = env.write_txn().unwrap();
|
||||
let content = env.create_database(&mut wtxn, None).unwrap();
|
||||
wtxn.commit().unwrap();
|
||||
|
||||
FacetIndex {
|
||||
content,
|
||||
|
Loading…
Reference in New Issue
Block a user