mirror of
https://github.com/meilisearch/MeiliSearch
synced 2025-07-04 20:37:15 +02:00
Merge #3571
3571: Introduce two filters to select documents with `null` and empty fields r=irevoire a=Kerollmops # Pull Request ## Related issue This PR implements the `X IS NULL`, `X IS NOT NULL`, `X IS EMPTY`, `X IS NOT EMPTY` filters that [this comment](https://github.com/meilisearch/product/discussions/539#discussioncomment-5115884) is describing in a very detailed manner. ## What does this PR do? ### `IS NULL` and `IS NOT NULL` This PR will be exposed as a prototype for now. Below is the copy/pasted version of a spec that defines this filter. - `IS NULL` matches fields that `EXISTS` AND `= IS NULL` - `IS NOT NULL` matches fields that `NOT EXISTS` OR `!= IS NULL` 1. `{"name": "A", "price": null}` 2. `{"name": "A", "price": 10}` 3. `{"name": "A"}` `price IS NULL` would match 1 `price IS NOT NULL` or `NOT price IS NULL` would match 2,3 `price EXISTS` would match 1, 2 `price NOT EXISTS` or `NOT price EXISTS` would match 3 common query : `(price EXISTS) AND (price IS NOT NULL)` would match 2 ### `IS EMPTY` and `IS NOT EMPTY` - `IS EMPTY` matches Array `[]`, Object `{}`, or String `""` fields that `EXISTS` and are empty - `IS NOT EMPTY` matches fields that `NOT EXISTS` OR are not empty. 1. `{"name": "A", "tags": null}` 2. `{"name": "A", "tags": [null]}` 3. `{"name": "A", "tags": []}` 4. `{"name": "A", "tags": ["hello","world"]}` 5. `{"name": "A", "tags": [""]}` 6. `{"name": "A"}` 7. `{"name": "A", "tags": {}}` 8. `{"name": "A", "tags": {"t1":"v1"}}` 9. `{"name": "A", "tags": {"t1":""}}` 10. `{"name": "A", "tags": ""}` `tags IS EMPTY` would match 3,7,10 `tags IS NOT EMPTY` or `NOT tags IS EMPTY` would match 1,2,4,5,6,8,9 `tags IS NULL` would match 1 `tags IS NOT NULL` or `NOT tags IS NULL` would match 2,3,4,5,6,7,8,9,10 `tags EXISTS` would match 1,2,3,4,5,7,8,9,10 `tags NOT EXISTS` or `NOT tags EXISTS` would match 6 common query : `(tags EXISTS) AND (tags IS NOT NULL) AND (tags IS NOT EMPTY)` would match 2,4,5,8,9 ## What should the reviewer do? - Check that I tested the filters - Check that I deleted the ids of the documents when deleting documents Co-authored-by: Clément Renault <clement@meilisearch.com> Co-authored-by: Kerollmops <clement@meilisearch.com>
This commit is contained in:
commit
414b3fae89
18 changed files with 730 additions and 118 deletions
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@ -181,7 +181,7 @@ fn json_to_string<'a>(value: &'a Value, buffer: &'a mut String) -> Option<&'a st
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fn inner(value: &Value, output: &mut String) -> bool {
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use std::fmt::Write;
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match value {
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Value::Null => false,
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Value::Null | Value::Object(_) => false,
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Value::Bool(boolean) => write!(output, "{}", boolean).is_ok(),
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Value::Number(number) => write!(output, "{}", number).is_ok(),
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Value::String(string) => write!(output, "{}", string).is_ok(),
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@ -196,23 +196,6 @@ fn json_to_string<'a>(value: &'a Value, buffer: &'a mut String) -> Option<&'a st
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// check that at least one value was written
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count != 0
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}
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Value::Object(object) => {
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let mut buffer = String::new();
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let mut count = 0;
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for (key, value) in object {
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buffer.clear();
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let _ = write!(&mut buffer, "{}: ", key);
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if inner(value, &mut buffer) {
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buffer.push_str(". ");
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// We write the "key: value. " pair only when
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// we are sure that the value can be written.
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output.push_str(&buffer);
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count += 1;
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}
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}
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// check that at least one value was written
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count != 0
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}
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}
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}
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@ -7,7 +7,7 @@ use std::mem::size_of;
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use heed::zerocopy::AsBytes;
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use heed::BytesEncode;
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use roaring::RoaringBitmap;
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use serde_json::Value;
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use serde_json::{from_slice, Value};
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use super::helpers::{create_sorter, keep_first, sorter_into_reader, GrenadParameters};
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use crate::error::InternalError;
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@ -15,6 +15,15 @@ use crate::facet::value_encoding::f64_into_bytes;
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use crate::update::index_documents::{create_writer, writer_into_reader};
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use crate::{CboRoaringBitmapCodec, DocumentId, FieldId, Result, BEU32, MAX_FACET_VALUE_LENGTH};
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/// The extracted facet values stored in grenad files by type.
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pub struct ExtractedFacetValues {
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pub docid_fid_facet_numbers_chunk: grenad::Reader<File>,
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pub docid_fid_facet_strings_chunk: grenad::Reader<File>,
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pub fid_facet_is_null_docids_chunk: grenad::Reader<File>,
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pub fid_facet_is_empty_docids_chunk: grenad::Reader<File>,
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pub fid_facet_exists_docids_chunk: grenad::Reader<File>,
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}
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/// Extracts the facet values of each faceted field of each document.
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///
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/// Returns the generated grenad reader containing the docid the fid and the orginal value as key
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@ -24,7 +33,7 @@ pub fn extract_fid_docid_facet_values<R: io::Read + io::Seek>(
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obkv_documents: grenad::Reader<R>,
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indexer: GrenadParameters,
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faceted_fields: &HashSet<FieldId>,
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) -> Result<(grenad::Reader<File>, grenad::Reader<File>, grenad::Reader<File>)> {
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) -> Result<ExtractedFacetValues> {
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let max_memory = indexer.max_memory_by_thread();
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let mut fid_docid_facet_numbers_sorter = create_sorter(
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@ -46,6 +55,8 @@ pub fn extract_fid_docid_facet_values<R: io::Read + io::Seek>(
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);
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let mut facet_exists_docids = BTreeMap::<FieldId, RoaringBitmap>::new();
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let mut facet_is_null_docids = BTreeMap::<FieldId, RoaringBitmap>::new();
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let mut facet_is_empty_docids = BTreeMap::<FieldId, RoaringBitmap>::new();
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let mut key_buffer = Vec::new();
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let mut cursor = obkv_documents.into_cursor()?;
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@ -69,33 +80,44 @@ pub fn extract_fid_docid_facet_values<R: io::Read + io::Seek>(
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// For the other extraction tasks, prefix the key with the field_id and the document_id
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key_buffer.extend_from_slice(docid_bytes);
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let value =
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serde_json::from_slice(field_bytes).map_err(InternalError::SerdeJson)?;
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let value = from_slice(field_bytes).map_err(InternalError::SerdeJson)?;
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let (numbers, strings) = extract_facet_values(&value);
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// insert facet numbers in sorter
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for number in numbers {
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key_buffer.truncate(size_of::<FieldId>() + size_of::<DocumentId>());
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if let Some(value_bytes) = f64_into_bytes(number) {
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key_buffer.extend_from_slice(&value_bytes);
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key_buffer.extend_from_slice(&number.to_be_bytes());
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fid_docid_facet_numbers_sorter.insert(&key_buffer, ().as_bytes())?;
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match extract_facet_values(&value) {
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FilterableValues::Null => {
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facet_is_null_docids.entry(field_id).or_default().insert(document);
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}
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}
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FilterableValues::Empty => {
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facet_is_empty_docids.entry(field_id).or_default().insert(document);
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}
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FilterableValues::Values { numbers, strings } => {
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// insert facet numbers in sorter
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for number in numbers {
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key_buffer.truncate(size_of::<FieldId>() + size_of::<DocumentId>());
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if let Some(value_bytes) = f64_into_bytes(number) {
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key_buffer.extend_from_slice(&value_bytes);
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key_buffer.extend_from_slice(&number.to_be_bytes());
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// insert normalized and original facet string in sorter
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for (normalized, original) in strings.into_iter().filter(|(n, _)| !n.is_empty()) {
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let normalised_truncated_value: String = normalized
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.char_indices()
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.take_while(|(idx, _)| idx + 4 < MAX_FACET_VALUE_LENGTH)
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.map(|(_, c)| c)
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.collect();
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fid_docid_facet_numbers_sorter
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.insert(&key_buffer, ().as_bytes())?;
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}
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}
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key_buffer.truncate(size_of::<FieldId>() + size_of::<DocumentId>());
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key_buffer.extend_from_slice(normalised_truncated_value.as_bytes());
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fid_docid_facet_strings_sorter.insert(&key_buffer, original.as_bytes())?;
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// insert normalized and original facet string in sorter
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for (normalized, original) in
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strings.into_iter().filter(|(n, _)| !n.is_empty())
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{
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let normalized_truncated_value: String = normalized
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.char_indices()
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.take_while(|(idx, _)| idx + 4 < MAX_FACET_VALUE_LENGTH)
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.map(|(_, c)| c)
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.collect();
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key_buffer.truncate(size_of::<FieldId>() + size_of::<DocumentId>());
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key_buffer.extend_from_slice(normalized_truncated_value.as_bytes());
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fid_docid_facet_strings_sorter
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.insert(&key_buffer, original.as_bytes())?;
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}
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}
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}
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}
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}
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@ -112,14 +134,48 @@ pub fn extract_fid_docid_facet_values<R: io::Read + io::Seek>(
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}
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let facet_exists_docids_reader = writer_into_reader(facet_exists_docids_writer)?;
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Ok((
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sorter_into_reader(fid_docid_facet_numbers_sorter, indexer)?,
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sorter_into_reader(fid_docid_facet_strings_sorter, indexer)?,
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facet_exists_docids_reader,
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))
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let mut facet_is_null_docids_writer = create_writer(
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indexer.chunk_compression_type,
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indexer.chunk_compression_level,
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tempfile::tempfile()?,
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);
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for (fid, bitmap) in facet_is_null_docids.into_iter() {
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let bitmap_bytes = CboRoaringBitmapCodec::bytes_encode(&bitmap).unwrap();
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facet_is_null_docids_writer.insert(fid.to_be_bytes(), &bitmap_bytes)?;
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}
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let facet_is_null_docids_reader = writer_into_reader(facet_is_null_docids_writer)?;
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let mut facet_is_empty_docids_writer = create_writer(
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indexer.chunk_compression_type,
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indexer.chunk_compression_level,
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tempfile::tempfile()?,
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);
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for (fid, bitmap) in facet_is_empty_docids.into_iter() {
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let bitmap_bytes = CboRoaringBitmapCodec::bytes_encode(&bitmap).unwrap();
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facet_is_empty_docids_writer.insert(fid.to_be_bytes(), &bitmap_bytes)?;
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}
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let facet_is_empty_docids_reader = writer_into_reader(facet_is_empty_docids_writer)?;
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Ok(ExtractedFacetValues {
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docid_fid_facet_numbers_chunk: sorter_into_reader(fid_docid_facet_numbers_sorter, indexer)?,
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docid_fid_facet_strings_chunk: sorter_into_reader(fid_docid_facet_strings_sorter, indexer)?,
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fid_facet_is_null_docids_chunk: facet_is_null_docids_reader,
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fid_facet_is_empty_docids_chunk: facet_is_empty_docids_reader,
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fid_facet_exists_docids_chunk: facet_exists_docids_reader,
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})
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}
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fn extract_facet_values(value: &Value) -> (Vec<f64>, Vec<(String, String)>) {
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/// Represent what a document field contains.
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enum FilterableValues {
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/// Corresponds to the JSON `null` value.
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Null,
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/// Corresponds to either, an empty string `""`, an empty array `[]`, or an empty object `{}`.
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Empty,
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/// Represents all the numbers and strings values found in this document field.
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Values { numbers: Vec<f64>, strings: Vec<(String, String)> },
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}
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fn extract_facet_values(value: &Value) -> FilterableValues {
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fn inner_extract_facet_values(
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value: &Value,
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can_recurse: bool,
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@ -149,9 +205,16 @@ fn extract_facet_values(value: &Value) -> (Vec<f64>, Vec<(String, String)>) {
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}
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}
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let mut facet_number_values = Vec::new();
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let mut facet_string_values = Vec::new();
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inner_extract_facet_values(value, true, &mut facet_number_values, &mut facet_string_values);
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(facet_number_values, facet_string_values)
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match value {
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Value::Null => FilterableValues::Null,
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Value::String(s) if s.is_empty() => FilterableValues::Empty,
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Value::Array(a) if a.is_empty() => FilterableValues::Empty,
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Value::Object(o) if o.is_empty() => FilterableValues::Empty,
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otherwise => {
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let mut numbers = Vec::new();
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let mut strings = Vec::new();
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inner_extract_facet_values(otherwise, true, &mut numbers, &mut strings);
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FilterableValues::Values { numbers, strings }
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}
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}
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}
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|
|
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@ -18,7 +18,7 @@ use rayon::prelude::*;
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use self::extract_docid_word_positions::extract_docid_word_positions;
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use self::extract_facet_number_docids::extract_facet_number_docids;
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use self::extract_facet_string_docids::extract_facet_string_docids;
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use self::extract_fid_docid_facet_values::extract_fid_docid_facet_values;
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use self::extract_fid_docid_facet_values::{extract_fid_docid_facet_values, ExtractedFacetValues};
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use self::extract_fid_word_count_docids::extract_fid_word_count_docids;
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use self::extract_geo_points::extract_geo_points;
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use self::extract_word_docids::extract_word_docids;
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|
@ -55,28 +55,35 @@ pub(crate) fn data_from_obkv_documents(
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.collect::<Result<()>>()?;
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#[allow(clippy::type_complexity)]
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let result: Result<(Vec<_>, (Vec<_>, (Vec<_>, Vec<_>)))> = flattened_obkv_chunks
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.par_bridge()
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.map(|flattened_obkv_chunks| {
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send_and_extract_flattened_documents_data(
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flattened_obkv_chunks,
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indexer,
|
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lmdb_writer_sx.clone(),
|
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&searchable_fields,
|
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&faceted_fields,
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primary_key_id,
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geo_fields_ids,
|
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&stop_words,
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max_positions_per_attributes,
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)
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})
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.collect();
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let result: Result<(Vec<_>, (Vec<_>, (Vec<_>, (Vec<_>, (Vec<_>, Vec<_>)))))> =
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flattened_obkv_chunks
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.par_bridge()
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.map(|flattened_obkv_chunks| {
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send_and_extract_flattened_documents_data(
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flattened_obkv_chunks,
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indexer,
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lmdb_writer_sx.clone(),
|
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&searchable_fields,
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&faceted_fields,
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primary_key_id,
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geo_fields_ids,
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&stop_words,
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max_positions_per_attributes,
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)
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})
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.collect();
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let (
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docid_word_positions_chunks,
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(
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docid_fid_facet_numbers_chunks,
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(docid_fid_facet_strings_chunks, facet_exists_docids_chunks),
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(
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docid_fid_facet_strings_chunks,
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(
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facet_is_null_docids_chunks,
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(facet_is_empty_docids_chunks, facet_exists_docids_chunks),
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),
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),
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),
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) = result?;
|
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|
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|
@ -96,6 +103,38 @@ pub(crate) fn data_from_obkv_documents(
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});
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}
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// merge facet_is_null_docids and send them as a typed chunk
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{
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let lmdb_writer_sx = lmdb_writer_sx.clone();
|
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rayon::spawn(move || {
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debug!("merge {} database", "facet-id-is-null-docids");
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match facet_is_null_docids_chunks.merge(merge_cbo_roaring_bitmaps, &indexer) {
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Ok(reader) => {
|
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let _ = lmdb_writer_sx.send(Ok(TypedChunk::FieldIdFacetIsNullDocids(reader)));
|
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}
|
||||
Err(e) => {
|
||||
let _ = lmdb_writer_sx.send(Err(e));
|
||||
}
|
||||
}
|
||||
});
|
||||
}
|
||||
|
||||
// merge facet_is_empty_docids and send them as a typed chunk
|
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{
|
||||
let lmdb_writer_sx = lmdb_writer_sx.clone();
|
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rayon::spawn(move || {
|
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debug!("merge {} database", "facet-id-is-empty-docids");
|
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match facet_is_empty_docids_chunks.merge(merge_cbo_roaring_bitmaps, &indexer) {
|
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Ok(reader) => {
|
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let _ = lmdb_writer_sx.send(Ok(TypedChunk::FieldIdFacetIsEmptyDocids(reader)));
|
||||
}
|
||||
Err(e) => {
|
||||
let _ = lmdb_writer_sx.send(Err(e));
|
||||
}
|
||||
}
|
||||
});
|
||||
}
|
||||
|
||||
spawn_extraction_task::<_, _, Vec<grenad::Reader<File>>>(
|
||||
docid_word_positions_chunks.clone(),
|
||||
indexer,
|
||||
|
@ -235,7 +274,10 @@ fn send_and_extract_flattened_documents_data(
|
|||
grenad::Reader<CursorClonableMmap>,
|
||||
(
|
||||
grenad::Reader<CursorClonableMmap>,
|
||||
(grenad::Reader<CursorClonableMmap>, grenad::Reader<File>),
|
||||
(
|
||||
grenad::Reader<CursorClonableMmap>,
|
||||
(grenad::Reader<File>, (grenad::Reader<File>, grenad::Reader<File>)),
|
||||
),
|
||||
),
|
||||
)> {
|
||||
let flattened_documents_chunk =
|
||||
|
@ -281,11 +323,13 @@ fn send_and_extract_flattened_documents_data(
|
|||
Ok(docid_word_positions_chunk)
|
||||
},
|
||||
|| {
|
||||
let (
|
||||
let ExtractedFacetValues {
|
||||
docid_fid_facet_numbers_chunk,
|
||||
docid_fid_facet_strings_chunk,
|
||||
fid_facet_is_null_docids_chunk,
|
||||
fid_facet_is_empty_docids_chunk,
|
||||
fid_facet_exists_docids_chunk,
|
||||
) = extract_fid_docid_facet_values(
|
||||
} = extract_fid_docid_facet_values(
|
||||
flattened_documents_chunk.clone(),
|
||||
indexer,
|
||||
faceted_fields,
|
||||
|
@ -309,7 +353,13 @@ fn send_and_extract_flattened_documents_data(
|
|||
|
||||
Ok((
|
||||
docid_fid_facet_numbers_chunk,
|
||||
(docid_fid_facet_strings_chunk, fid_facet_exists_docids_chunk),
|
||||
(
|
||||
docid_fid_facet_strings_chunk,
|
||||
(
|
||||
fid_facet_is_null_docids_chunk,
|
||||
(fid_facet_is_empty_docids_chunk, fid_facet_exists_docids_chunk),
|
||||
),
|
||||
),
|
||||
))
|
||||
},
|
||||
);
|
||||
|
|
Loading…
Add table
Add a link
Reference in a new issue