Commit Graph

77 Commits

Author SHA1 Message Date
Yin Yongqi 16c14dc64b
fix(collection): allow writes and reads to proceed during Optimize (#614) 2026-08-05 14:46:42 +08:00
egolearner 6eed986ac5
fix: properly handle larger final IPC chunk in mmap store (#645) 2026-08-04 16:58:10 +08:00
egolearner 58375ff7b8
feat(fts): add ngram tokenizer (#593) 2026-08-03 14:06:15 +08:00
luoxiaojian 1ad6df2539
refactor(thread-pool): make CPU affinity opt-in (#623) 2026-07-29 15:30:04 +08:00
egolearner 31be25598a
fix(db): persist delete-only writing segment records (#618) 2026-07-28 20:36:02 +08:00
Zhuanglin Zheng a4347e31f1
Add a preprocessor in Turbo (#548)
Co-authored-by: ray <rui.xing@alibaba-inc.com>
2026-07-24 14:01:52 +08:00
feihongxu0824 e89be98bb3
fix: optimize after crash recovery without opening wal (#600) 2026-07-17 16:56:21 +08:00
mrcs64 a5dfec6a65
fix(segment): propagate forward-store writer open failure instead of crashing (#579)
Co-authored-by: mrcs64 <9069178+mrcs64@users.noreply.github.com>
2026-07-17 16:13:50 +08:00
egolearner 23538ab876
fix(collection): preserve writing segment on DDL failure (#574) 2026-07-16 10:54:56 +08:00
Jalin Wang 1afdea8dc5
feat(python): expose group-by search to Python API (#561)
Co-authored-by: jiliang.ljl <jiliang.ljl@alibaba-inc.com>
2026-07-13 20:22:07 +08:00
egolearner 4de76fdbde
fix(fts): allow global doc id gaps during compaction (#588) 2026-07-13 10:54:30 +08:00
egolearner a90ec5b1d6
fix(fts): preserve zero-match filter semantics (#584) 2026-07-10 15:20:51 +08:00
egolearner 20f9be250c
perf(fts): add block-max skip and score early-exit to ConjunctionIterator (#441) 2026-07-10 11:40:47 +08:00
egolearner 821a9333fc
fix(index): snapshot read-only indexes without flush (#569) 2026-07-10 10:55:50 +08:00
egolearner 7449d7193b
fix(fts): restore writing segment stats on reopen (#566) 2026-07-10 10:52:46 +08:00
egolearner df6af2f05d
feat: Implement standard tokenizer based on UAX29 (#547) 2026-07-09 10:01:56 +08:00
Jalin Wang 468c565f86
feat(core, indexer): support group_by searching and fix hnsw sparse (#527) 2026-07-07 17:15:12 +08:00
egolearner c35d24e215
feat(fts): add stemmer token filter based on Snowball 3.1.1 (#513) 2026-07-07 14:14:13 +08:00
egolearner 59e04ae4cc
refactor: remove QueryParams::set_type() (#518) 2026-07-02 17:05:26 +08:00
egolearner b9ce030593
feat(fts): add UTF-8 support for tokenizer and token filters via utf8proc (#515) 2026-07-02 11:31:44 +08:00
lichen2015 a03ea929ed
fix(collection): open LOCK file read-only when collection is read-only (#541) 2026-07-01 14:39:33 +08:00
Zhuanglin Zheng c54f5e16e9
rotate: add an optional random rotation feature in INT8/INT4 quantization method (#483)
Co-authored-by: rayx <rui.xing@alibaba-inc.com>
Co-authored-by: Jalin Wang <wangjianning.wjn@alibaba-inc.com>
Co-authored-by: Copilot Autofix powered by AI <223894421+github-code-quality[bot]@users.noreply.github.com>
2026-06-26 19:16:19 +08:00
feihongxu0824 0ac294a9fd
fix: clean up RocksDB files on drop_index so create_index can be repeated (#485) 2026-06-22 16:13:59 +08:00
egolearner aad5718112
feat(query): add VectorViewClause zero-copy path and unify validate (#478)
* feat(query): add VectorViewClause zero-copy path and unify validate

- Add VectorViewClause (string_view-based) as zero-copy counterpart to
  VectorClause; variant now holds VectorClause | VectorViewClause | FtsClause
- Add QueryTarget::get_vector_view() unified accessor via std::visit,
  returns optional<VectorViewClause> regardless of which variant is held
- Split validate_and_sanitize into QueryTarget::validate (read-only) +
  sanitize_sparse_vector (mutate); validate handles both VectorClause and
  VectorViewClause via get_vector_view()
- Collection::Query passes original request directly to sqlengine when no
  sparse sanitization is needed; only copies when sort is required
- Change build_query_info/BuildSQLInfoFromSearchQuery to take const
  SearchQuery& so VectorMatrixNode string_views point to caller's data
2026-06-22 11:32:26 +08:00
feihongxu0824 4679a8f39d
feat: support zvec core-only build (#481) 2026-06-09 23:45:42 +08:00
Cuiys 0923f7c691
refactor: make Reranker stateless with std::variant value semantics (… (#471)
* refactor: make Reranker stateless with std::variant value semantics (#461)

Replace class hierarchy (Reranker/ScoreBasedReranker/RrfReranker/
WeightedReranker/CallbackReranker) with std::variant<RrfParams,
WeightedParams, CallbackParams> value type and a stateless free function
reranker::rerank().

Key changes:
- reranker.h: define RerankParams variant + reranker::rerank() API
- query.h: MultiQuery::reranker (shared_ptr) -> MultiQuery::rerank (value)
- schema.h: add CollectionSchema::get_field_ptr() returning FieldSchema::Ptr
- collection.cc: push field lookup to caller, pass vector<FieldSchema::Ptr>
- c_api: remove opaque zvec_reranker_t, add zvec_multi_query_set_rerank_*
- python binding: expose _RrfParams/_WeightedParams/_CallbackParams + setters
- python layer: WeightedReRanker(list[float]), remove Python rerank logic
- all tests updated to new interface

Benefits:
- Thread-safe by design: no mutable state, safe to share across threads
- Collection-decoupled: no bind_schema(), field info passed as parameter
- Simpler lifecycle: value semantics, no shared_ptr management

Closes #461

* chore: remove nightly_build.yml unrelated to reranker refactor

* chore: remove uv.lock unrelated to reranker refactor

* fix: raise ValueError when multi-query has no reranker

After the reranker stateless refactor the C++ MultiQuery rerank
strategy uses a std::variant with a default value, so the implicit
'reranker required' validation no longer triggered. Restore the
check in QueryExecutor._execute_multi_query so that a hybrid
(multi-query) request without a reranker raises ValueError.

* fix(reranker): use index_type FTS check for non-vector normalization

Replace dynamic_cast nullptr check with explicit IndexType::FTS check
and map FTS/BM25 positive scores to (0.0, 1.0) via 2*atan(score)/pi.

* refactor(reranker): move Params types into reranker namespace and qualify usages

Move RrfParams, WeightedParams, CallbackParams and RerankParams into the
zvec::reranker namespace, and add explicit reranker:: qualification at all
usage sites outside the reranker module (query.h, python/c bindings, tests).

* refactor(query): drop unused PendingQuery wrapper, use std::vector<SearchQuery> directly

* refactor(reranker): make _to_cpp_params non-abstract with default NotImplementedError

Remove @abstractmethod from RerankFunction._to_cpp_params and provide a
default implementation raising NotImplementedError. Drop the redundant
_to_cpp_params overrides from Qwen and Sentence rerankers since they use
the Python rerank path and don't need the C++ conversion.
2026-06-09 12:44:17 +08:00
Qinren Zhou e8b888f26b
minor: fix python doc string for ivf index params (#473) 2026-06-09 11:41:03 +08:00
rayx e720c1fd20
feat: add diskann index (#369) 2026-06-04 20:52:43 +08:00
Cuiys c46efe1241
refactor: change rerank interface from map-based to vector-based (#458)
* refactor: change rerank interface from map-based to vector-based (#452)

- Define QueryResult = list[Doc] type alias in doc.py
- Change C++ Reranker::rerank() signature from map<string, DocPtrList> to vector<DocPtrList>
- Extend bind_schema() to accept field_names for index-based field lookup
- Update ScoreBasedReranker/WeightedReranker/CallbackReranker implementations
- Adapt collection.cc MultiQuery path to use vector<DocPtrList>
- Update Python binding to expose rerank() and use vector<double> weights
- Refactor Python RerankFunction interface to list[QueryResult] -> QueryResult
- Remove Python-layer rerank logic from RrfReRanker/WeightedReRanker (delegate to C++)
- Update query_executor to return list[list[Doc]] instead of dict
- Update all related unit tests (C++ and Python)

* refactor: replace list[Doc] with QueryResult type alias in executor and rerank functions

* refactor: replace list[list[Doc]] with list[QueryResult] in query_executor

* fix: remove unused Doc import in rerank_function.py (ruff F401)

* refactor(query_executor): merge duplicate rerank return paths

* refactor: RrfReRanker/WeightedReRanker.rerank() directly call C++ reranker

* refactor: simplify QueryExecutor into unified class, remove Factory/subclasses/validation/concurrency

* refactor: rename _VectorQuery to _SearchQuery, from_vector_query to from_search_query

* refactor(query_executor): split execute into single/multi paths, rename core_vector to search_query, drop unused core_vectors

* style: apply ruff formatter to test_reranker.py and query_executor.py

* refactor: make rescore() private in ScoreBasedReranker hierarchy

* style: apply clang-format to reranker.h

* style: apply clang-format to all modified C++ files

* refactor: rename private methods in QueryExecutor for clearer semantics

* refactor: rename mvq to multi_query for clarity

* fix: make BasicRRF test order-independent for equal scores

* fix: update collection_test to use vector-based reranker interface

* fix: update reranker tests to expect TypeError instead of NotImplementedError

* refactor: remove PendingQuery wrapper, use SearchQuery directly in MultiQuery path

* refactor: simplify MultiQuery path - remove seen_fields, merge field_names into main loop

* fix: address review comments - defensive checks and remove fields param from C API

- ScoreBasedReranker::rerank(): early return empty list when topn <= 0
- WeightedReranker::rescore(): null-check schema_ before use
- CallbackReranker::rerank(): check callback_ is not empty before invoke
- C API zvec_reranker_create_weighted(): remove unused fields parameter

* fix: remove duplicate field name test (check was intentionally removed)

* fix: address egolearner review comments

- Rename QueryResult to DocList for clarity (见名知义)
- Change docstring to #: comment for type alias
- Fix output_fields check: use 'is not None' instead of truthy check
  (None means unset, [] means explicit empty list - different semantics)
- Raise ValueError when search-by-id finds no document

* refactor: remove redundant output_fields assignment in _build_search_query

* refactor: address egolearner review comments (C++ refactoring)

- c_api.cc: simplify weighted reranker creation with inline vector ctor
- python_reranker.cc: refactor unwrap_rerank_result - take by value,
  early error return, move semantics
- Rename C API functions for consistent naming:
  zvec_reranker_create_rrf -> zvec_create_rrf_reranker
  zvec_reranker_create_weighted -> zvec_create_weighted_reranker
  zvec_reranker_destroy -> zvec_destroy_reranker
  zvec_reranker_get_rank_constant -> zvec_get_reranker_rank_constant
- reranker.h/cc: bind_schema returns Result<void>, caches
  vector<const FieldSchema*> to avoid repeated schema lookups in rescore
- python_param.cc: rename py::arg vector_query to search_query

* revert: rollback bind_schema refactoring due to thread-safety concern

The field_schemas_ caching approach introduces a data race when the same
WeightedReranker instance is shared across concurrent queries: bind_schema()
writes field_schemas_ while rerank() reads it concurrently.

Revert to storing schema_ + field_names_ and looking up fields in rescore().
Add @note thread-safety warning to WeightedReranker class documentation.

* fix: unify error message format in collection.cc

Change 'Vector field not found: X' to 'Invalid query: field X not found'
for consistent error formatting as suggested by zhourrr.

* fix: sort __all__ and remove duplicates in __init__.pyi

Fix RUF022 lint error: sort __all__ alphabetically and remove duplicate
entries (DenseEmbeddingFunction, ReRanker).

* style: format query_executor.py with ruff formatter

* fix: resolve Python test failures after FTS rebase integration

- test_query_executor.py: update method names to match refactored API
  (_do_build -> _build_queries, _do_merge_rerank_results -> _merge_and_rerank)
- test_reranker.py: fix expected exception type (TypeError from pybind11)
- test_collection_fts.py: update error message match patterns
- test_collection_fts_vector_hybrid.py: remove obsolete 'metrics' param,
  update weights from dict to positional list, adapt validation tests
  for multi-vector queries (now supported with reranker)
- test_collection_dql.py: remove 'metrics' param, update weights format
- collection.cc: distinguish FTS vs vector fields in MultiQuery path
  using get_fts_clause() to route field lookup correctly
- reranker.cc: use get_field() instead of get_vector_field() in rescore
  to support FTS+vector hybrid weighted reranking

* refactor: pass topn as rerank() parameter, move rerank_field to model rerankers

* fix: address review comments - rename test functions and restore duplicate field check

* refactor: simplify MultiQuery field lookup, let validate_and_sanitize handle type check
2026-06-04 16:03:28 +08:00
Jalin Wang f562bdd636
fix(segment): use raw vectors for RaBitQ merge during compaction (#456)
* fix: rabitQ recall=0

* re-enable rabitQ SegmentCompactReuseTest

* chore: simplify the comment

* chore: simplify the comment
2026-06-03 21:47:12 +08:00
egolearner 443500dc45
feat: add FTS support for Collection::CreateIndex/DropIndex (#445)
* feat: add FTS support for Collection::CreateIndex/DropIndex

Enable dynamic creation and removal of FTS indexes on existing STRING
columns through the standard CreateIndex/DropIndex API, matching the
lifecycle model already used by vector and scalar (invert) indexes.

Key changes:
- New FtsIndexer class (fts_indexer.h/cc) encapsulating per-segment FTS
  RocksDB management: multi-field lifecycle, snapshot, insert, seal
- New BlockType::FTS_INDEX with block_id-based directory naming
  (fts.<block_id>.rocksdb) for crash-safe snapshot-and-swap
- Segment::create_fts_index builds FTS index on a snapshot copy by
  scanning forward store, then outputs new SegmentMeta + FtsIndexer
  for atomic reload (same pattern as create_scalar_index)
- Segment::drop_fts_index snapshots, removes field CFs, outputs updated
  meta (or nullptr when last FTS field is removed)
- Collection layer wires FTS into the existing task dispatch, version
  update, and reload loops alongside vector/invert paths
- CreateIndex/DropIndex reject unsupported index types explicitly
  instead of falling through to the wrong branch

* fixup! feat: add FTS support for Collection::CreateIndex/DropIndex

    fix: address review comments for FTS CreateIndex/DropIndex

    - Reject CreateIndex when column already has a different index type
      (e.g. FTS on an INVERT-indexed column) at both Collection and
      Segment layers
    - Allow same-type different-params CreateIndex to rebuild the index
      (remove old + create new + replay data), aligned with INVERT behavior
    - Return OK when CreateIndex is called with identical params
    - Rename operator[] to get() in both FtsIndexer and InvertedIndexer
    - Add test cases: create→drop→create→drop cycle, and params-change
      rebuild with case-sensitivity verification

* android skip Feature_CreateOrDropFtsIndex

* fixup! feat: add FTS support for Collection::CreateIndex/DropIndex
2026-06-03 17:56:56 +08:00
Qinren Zhou dbea635019
refactor: clarify segment-local row ID handling and tests and fixes bugs (#432) 2026-06-03 15:20:45 +08:00
Jalin Wang 95e5ad5105
perf(segment): reuse first vector index file as merge base during compaction (#440)
Add a fast path that copies the first segment's index file as the merge base and only merges the tail segments into it. Limited to streaming indexes (HNSW, HNSW_RABITQ, FLAT) with matching index_type + quantize_type and no filter; IVF/VAMANA always rebuild (their Merge is dump-then-reopen and would drop the base docs).
Also, fix the incorrect concurrency of the compaction task.
2026-06-03 14:22:07 +08:00
egolearner 8d79f74214
fix: rename LogLevel enums to kStyle to avoid windows.h ERROR macro conflict (#435)
Windows.h defines ERROR as a macro which collides with LogLevel::ERROR.
Rename all LogLevel enum values to kDebug/kInfo/kWarn/kError/kFatal style,
and remove the now-unnecessary #undef ERROR workaround in jieba_tokenizer.
2026-06-02 11:32:50 +08:00
ZeFeng Yin 8ce8e3e228
chore: rm buffer manager (#437) 2026-06-02 09:51:41 +08:00
Qinren Zhou 8e8bb81db0
refactor: tidy query APIs and execution (#431) 2026-06-01 21:07:35 +08:00
egolearner 02bfb31cf5
feat: add fts support (#408)
Add BM25-based full-text search with CJK (jieba) tokenization, supporting
  query_string and match_string syntax, phrase queries, boolean operators
  (AND/OR/NOT/MUST), and hybrid retrieval with existing vector search.

  ## Core
  - BitPacked posting format with block-max WAND pruning
  - Tokenizer pipeline: jieba (cut/cut_for_search/hmm/full), whitespace,
    lowercase, with extensible pipeline composition
  - Query parser: boolean operators, phrase queries, field scoping,
    boost, MUST(+) modifier inside OR (ES query_string semantics)
  - AST rewriter: dedup repeated terms with linear boost aggregation,
    flatten same-type composites, canonicalize OR-with-must_not into AND
    wrapper, empty-node propagation, contradiction detection
  - FTS reduce/merge integrated into Optimize compaction
  - Multi-segment score-descending sort
  - Auto-register bundled jieba dict on SDK import

  ## Performance
  - Block-max WAND with cached block_max_info_for (single binary search)
  - AVX2/SSE bitpacked encoding with cross-arch scalar fallback
  - MultiGet for batch posting retrieval and phrase position verification
  - HashSkipList memtable for posting writes
  - PinnableSlice zero-copy reads
  - Filter pushdown into composite iterators (Disjunction/Conjunction/Phrase)
  - Candidate-driven (brute-force) evaluation for selective invert filters
  - Precomputed BM25 IDF weights, cached SIMD dispatch pointers
  - Shortest-list anchor for phrase position matching
  - Single-open per-term posting iterator

  ## Query
  - Tokenize query terms through the same pipeline as indexing
  - EmptyNode for zero-token queries (all stop-words / punctuation)
  - Backslash unescape after lexing in query parser
  - Schema allows collections without vector fields (FTS-only use case)
  - Create/Drop Index validates supported index types
  - FTS fields disallowed in SQL filter expressions

  ## Bindings
  - C API: fts query params, brute-force ratio config
  - Python SDK: FTS search, jieba dict auto-registration

  ## Internals
  - Bypass cppjieba::Jieba to drop KeywordExtractor (~12MB fewer required files)
  - Hide tokenizer pipeline from public header (Pimpl-style FtsState)
  - ListColumnFamilies to avoid double-open on segment load
  - Reorganized fts_column into tokenizer/, posting/, iterator/ subdirs
2026-06-01 15:02:54 +08:00
ZeFeng Yin 74beb2a828
feat: buffer storage write (#414) 2026-06-01 10:40:49 +08:00
egolearner 8dcb6cbd7f
refactor: drop VectorQuery, unify single-target query on SearchQuery (#428) 2026-05-29 16:36:09 +08:00
lichen2015 f539580138
feat: migrate multi-vector query and reranker logic to C++ (#405)
* feat: migrate multi-vector query and reranker logic to C++

- Add Reranker base class with RrfReRanker and WeightedReRanker implementations
- Add Collection::MultiQuery interface for multi-vector queries with reranking
- Add MultiVectorQuery struct in doc.h with forward declaration for Reranker
- Add C API bindings for reranker and MultiQuery (zvec_reranker_*, zvec_multi_vector_query_*, zvec_collection_multi_query)
- Add Python binding for reranker classes with py::function bridge for callback
- Validate duplicate field names in multi-vector queries (C++ and Python consistent)
- Remove TODO comment about concurrent execution (SQLEngine is not thread-safe)
- Update collection.h MultiQuery doc comment from concurrently to sequentially
- Add C++ collection tests (6 MultiQuery test cases)
- Add C API tests (reranker functions + multi_vector_query end-to-end)
- Implement Python test cases (11 previously skipped tests now active)
- Simplify Python query_executor validation for unified duplicate field check

* style: format Python files with ruff

* fix: adapt to main branch API changes (VectorQuery->Query rename, validate_and_sanitize)

* fix: multi_vector tests now use multiple same-type vector fields (dense2, sparse2)

* fix: suppress RET501 for intentional default return None in RerankFunction._get_object

* style: ruff format test_collection.py

* refact multi vector query

* format code

* fix(multi-vector): expose SubVectorQuery in Python binding, fix tests

- Register _SubVectorQuery in pybind11 with from_vector_query() factory
- Convert _VectorQuery to _SubVectorQuery in MultiVectorQueryExecutor
- Relax RRF/Weighted score assertion tolerance from 1e-10 to 1e-6
- Fix WeightedReRanker test metric to IP (matching HnswIndexParam default)

* style: ruff format query_executor.py

* fix: define _USE_MATH_DEFINES for M_PI on Windows (MSVC)

* refactor: include reranker.h directly in query.h instead of forward declaration

* refactor(reranker): move topn from member variable to rerank() parameter

* refact code

* style(python): fix ruff UP035/UP037 in multi_vector_reranker

- import Callable from collections.abc instead of typing (UP035)
- remove redundant quotes around MetricType annotations (UP037)

* chore: trigger PR sync

* refact code

* fix(examples): restore CMakeLists.txt formatting broken by clang-format

* refactor(reranker): remove redundant metrics_ map by querying schema directly, and use insert return value to avoid duplicate set lookup

* refactor(reranker): defer schema binding to query time and remove C API callback reranker
2026-05-29 10:10:41 +08:00
lichen2015 e0ba23179b
feat: fetch() add output_fields param (#358) 2026-05-27 22:58:49 +08:00
egolearner f336c5c955
fix: train rabitq converter in compact-path ReduceVectorIndex (#425)
Extract the shared train+attach logic into
SegmentHelper::PrepareQuantizeField, used by both
SegmentImpl::create_vector_index and SegmentHelper::ReduceVectorIndex.
2026-05-27 12:06:21 +08:00
Qinren Zhou e6c10f96be
minor: rewrite repeated optimize unit tests to cover more indexes (#423) 2026-05-26 18:51:09 +08:00
ZeFeng Yin d9b0920ac7
fix: ivf provider sorted by local id (#422) 2026-05-26 10:33:44 +08:00
lichen2015 bdf58fc2d2
fix: prevent SIGABRT when adding nullable column to multi-segment collection (#415) (#416)
When add_column is called on a multi-segment collection with a nullable
field and no expression, segment.cc previously sliced an Arrow ChunkedArray
with an offset that exceeded the array length, triggering SIGABRT in
Arrow's chunked_array.cc:170 assertion.

Fix the slicing logic in segment.cc to materialize null values per segment.
Add comprehensive tests in collection_test.cc and segment_test.cc covering
multi-segment add_column scenarios (nullable/non-nullable, with/without
expression, with/without unflushed data, drop+re-add).
2026-05-24 14:13:57 +08:00
Qinren Zhou d351637da8
fix: optimize allocated wrong names for vector index (#421) 2026-05-23 11:15:22 +08:00
egolearner 9aae7494ad
chore: enable modernize-use-override and fix existing violations (#419)
Add modernize-use-override to .clang-tidy and apply fixes across
src/ and tests/: replace redundant virtual with override, annotate
missing override on derived methods, and drop redundant virtual on
already-overridden methods.
2026-05-21 19:05:32 +08:00
feihongxu0824 a9008b0fd2
fix: nullable scalar field filter leaks null documents without inverted index (#410)
When a nullable scalar field has no inverted index, the forward filter path
fails to handle null values from Arrow's filter evaluation:

1. get_forward_bit(): BooleanArray::operator[] returns nullopt for null entries,
   which is_filtered() treats as "no filter" (not filtered), letting null docs
   through. Fix: use value_or(false) to treat null as "not matched".

2. is_matched_by_forward_filter(): reads BooleanScalar.value without checking
   is_valid, which is UB for null scalars. Fix: check is_valid first.

Closes #409

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-05-18 20:25:06 +08:00
Cuiys 42958caef5
feat(test): enable parallel tests (#384)
- Set unique WORKING_DIRECTORY per test binary via cc_test()/cuda_test() to prevent filesystem path conflicts when running tests in parallel. Each test runs in ${CMAKE_BINARY_DIR}/test_tmp/${test_name}/.

- Enable parallel ctest execution in the unittest target with ProcessorCount-based --parallel flag (defaults to NPROC - 1).

- Set TEST_BINARY_DIR environment variable for crash recovery tests so they can locate helper binaries from isolated working directories.

- Update LocateDataGenerator() and LocateOptimizeGenerator() to search TEST_BINARY_DIR and TEST_BINARY_DIR/bin for helper executables.
2026-05-12 23:14:17 +08:00
Jalin Wang 1d4ae0b1b5
refactor: support UTF-8 file paths via std::filesystem (#359)
Rewrite file/path handling to use std::filesystem and UTF-8-safe helpers.
Switch Windows file open/create paths to wide-char APIs, replace manual
separator concatenation with PathJoin, and enable RocksDB UTF-8 filenames.

Also add UTF-8 path coverage for file IO, version manager recovery, and
collection open/flush/reopen flows.
2026-05-08 17:44:22 +08:00