Release Notes¶

This page summarizes the changes introduced in each ApexBase release, grouped by functional area.

v1.20.1 ¶

2026-06-30

Add dynamic time-based column defaults in CREATE TABLE, including DEFAULT CURRENT_DATE, DEFAULT CURRENT_TIMESTAMP, DEFAULT NOW, and DEFAULT UNIX_TIMESTAMP()
Add row-independent DEFAULT expressions, including arithmetic such as DEFAULT (60 * 60), scalar functions such as DEFAULT LOWER('ACTIVE'), and typed casts such as DEFAULT CAST('2026-01-02' AS DATE)
Add INSERT DEFAULT VALUES and VALUES(DEFAULT, ...) support so rows can explicitly use declared column defaults
Apply defaults during INSERT for omitted columns and explicit DEFAULT values, with type-aware output for DATE, TIMESTAMP, string, integer, and floating-point columns
Persist literal, expression-folded, and dynamic default definitions in on-demand table schemas so constraints survive save/reopen cycles
Store SQL DATE and TIMESTAMP expression values through table and incremental storage paths by mapping them to their numeric backing representation
Reject DEFAULT expressions that reference table columns or subqueries, keeping defaults row-independent and deterministic except for the supported time functions
Add Rust and Python regression coverage for dynamic DEFAULT functions, constant-expression folding, cast defaults, INSERT DEFAULT VALUES, VALUES(DEFAULT, ...), and invalid column-reference defaults
Update Rust crate and Python package version metadata to 1.20.1

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v1.20.0 ¶

2026-06-23

Compare with v1.19.1

Add broad Hive complex SQL support across parser and executor for CTE-heavy ETL workloads, INSERT OVERWRITE ... PARTITION, Hive-style LATERAL VIEW, EXPLODE/POSEXPLODE, STACK, and richer expression handling
Add optimized JSON projection fusion for repeated GET_JSON_OBJECT extraction and Hive array-splitting patterns
Extend query signature detection and fast paths for complex Hive-style query shapes
Improve aggregation, joins, SELECT, DDL, window execution, Python client, embedded API, and bindings to handle the new SQL coverage
Add reproducible Hive complex SQL benchmark suite comparing ApexBase and DuckDB, including three large reference SQL workloads
Add SQLite-equivalent SQL benchmark coverage for the same three Hive workload shapes, with ApexBase, DuckDB, and SQLite result-set equality checks across 100K, 500K, and 1M behavior rows
Add comprehensive Hive complex SQL, CTE/EXPLAIN/INSERT SELECT, and storage architecture regression tests
Add coding-agent prerequisite documentation in precondition.md
Update version metadata to 1.20.0
Enhance build and release workflows with tag-driven scheduled/manual builds, GitHub Release generation, release-note extraction by tag, historical pure-Python version releases, and Rust historical release backfills
Simplify docs publishing/release-note generation flow and remove generated comments from release notes
Simplify installation docs by removing Tool installation and GitHub Pages deployment sections

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Benchmarks	4
Other	1
Tests	3

v1.19.1 ¶

2026-06-11

Compare with v1.19.0

Fix macOS arm64 SIGSEGV crash on ApexStorage init via lazy imports (pyarrow, pandas, polars no longer loaded at import time)
Fix weakref deadlock by switching threading.Lock to threading.RLock in _InstanceRegistry
Fix CI pytest hangs in cross-process memtable tests
Fix numeric range mmap scan offset handling in Python bindings
Remove global warm-query GROUP BY / ORDER BY top-k static cache infrastructure from query executor
Add pandas 3.x compatibility fixes in to_pandas()
Rename invalidate_query_caches to invalidate_read_caches across storage backend
Add test_import_stability.py regression tests and pytest --timeout=120 config

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Other	1
Tests	3

v1.19.0 ¶

2026-05-29

Compare with v1.18.0

Set up comprehensive MkDocs Material documentation site with GitHub Actions deployment
Add FLOAT16 vector column type with f16→f32 byte decoding and ndarray/list conversion in Python bindings
FTS index now backfills rows written through the Python store() API
Async FTS backfill for tables with >100K rows (background thread, non-blocking)
FTS backfill reads string columns directly from mmap for zero-copy performance
Add new documentation pages: concepts, installation, performance, user guides
Add HTAP roadmap document
Replace large inline README section with cross-reference to new docs site

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Tests	4

v1.18.0 ¶

2026-05-20

Compare with v1.17.0

Add LIMIT and OFFSET support in SQL queries (parser, executor, Python client)
Improve index building for streaming batches with batch-size limit
Add mmap_scan numeric range and string equality filter support with LIMIT/row offset
Add Python client fast-path cache for projected string equality with LIMIT/OFFSET
Add retrieve_projected_by_string_eq_limit for direct mmap-backed projected scans in Python bindings
Enhance embedded API register_temp_table with LIMIT/OFFSET support and temp directory cleanup

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Other	1
Tests	2

v1.17.0 ¶

2026-05-06

Compare with v1.16.0

Add temporary table support: register_temp_table and drop_temp_table for CSV, JSON, and Parquet files
Temp tables materialize into native .apex format, auto-cleaned on DB drop
Add window function execution module (window.rs)
Enhance DuckDB result materialization compatibility (to_arrow_table instead of to_arrow)
Improve aggregation, join, and SELECT execution paths with temp table awareness
Add comprehensive temp table tests (CSV, JSON, SQL query access, cleanup, persistence)

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Benchmarks	1
Tests	2

v1.16.0 ¶

2026-05-03

Compare with v1.15.0

Add COPY TO export support: tables exportable to CSV, TSV, JSON, NDJSON with configurable options
Add JSON mutation functions: JSON_SET, JSON_INSERT, JSON_REPLACE, JSON_REMOVE
Add view-aware SQL routing in Python client for persisted views
Add comprehensive test suite for SQL view, COPY, and JSON operations
Optimize expression evaluator with string-based LIKE, GLOB, and REGEXP improvements

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v1.15.0 ¶

2026-05-02

Compare with v1.14.0

WAL-backed transaction durability: commits write TxnBegin/TxnCommit to per-table WAL with optional fsync
Adaptive row group size for on-demand storage with narrow/wide table tests
Add query signature fast paths: projected point lookup, ID batch, full scan, string/numeric range filter
Zone map-based string filtering to skip irrelevant row groups during equality scans
Single-pass filtered string aggregation on mmap tables
Delta string index caching and row count caching for repeated read performance
Separate write_file and delta_file handles with atomic sync-pending bitmask tracking
Add build.rs for macOS Python library rpath linking
Remove old test infrastructure (run_tests.py, test/README)

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Data Layer	5
Rust Embedded API	1
Arrow Flight gRPC	2
Full-Text Search	1
Library Core	1
Python Bindings	4
Query Engine	18
Scaling & Sharding	5
PostgreSQL Wire Protocol	3
Storage Engine	24
Table Catalog	5
Transaction Manager	4
Benchmarks	1
Build System	1
Tests	20

v1.14.0 ¶

2026-03-27

Compare with v1.13.0

Add parallel multi-predicate mmap scan with zone map pruning and rayon-based predicate evaluation
Add parallel column extraction via rayon for 2+ columns and 500+ rows
Add column projection support to skip unrequested columns during Arrow batch construction
Add Binary column type support (ColBuf::Bin, ColBuf::FixedVec, BinaryArray output)
Fix col=value filter pushdown logic with type-specific handling
Add 3 new benchmarks (numeric IN, OR cross-column, numeric OR)

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v1.13.0 ¶

2026-03-26

Compare with v1.12.0

Fix ApexClient with drop_if_exists=True to always create fresh storage instead of reusing shared storage

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v1.12.0 ¶

2026-03-26

Compare with v1.11.0

Add backtick-quoted identifier parsing (identifier, Hive/MySQL style) to SQL parser
Add unit tests for backtick parsing: SELECT, WHERE, ORDER BY, and unterminated identifier error
Update docs to document quoted identifier syntax

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v1.11.0 ¶

2026-03-18

Compare with v1.10.0

Add x86_64 AVX2+FMA SIMD kernels for L2, L1, Linf, inner_product, cosine distance functions
Improve Windows mmap prefault with 3-tier strategy (single-threaded, rayon-parallel, PrefetchVirtualMemory)
Add Windows atomic rename retries with backoff, engine cache invalidation before writes
Increase Windows WAL buffer size from 64KB to 512KB
Remove benchmarks/stress_test.py

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v1.10.0 ¶

2026-03-18

Compare with v1.9.0

Drop V3 file format compatibility — all operations require V4 footer
Replace heap-based GROUP BY with HashMap accumulator supporting SUM/COUNT/AVG
Add read_fixed_scattered_optimized with row-group batching for FixedList/Float16List scatter reads
Add bench_filter_group_order.py and bench_group_by_detail.py benchmark scripts
Rename internal V3-specific constants (MAGIC_V3→MAGIC, HEADER_SIZE_V3→HEADER_SIZE, etc.)

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v1.9.0 ¶

2026-03-17

Compare with v1.8.0

Add Rust Embedded API module (Database/Table structs) for pure-Rust usage without Python
Add query signature/caching system for deduplicating identical queries
Add concurrent query scheduler for parallel batch execution
Add vectorized hash join implementation
Add concurrent storage access with shared table handles and multi-client support
Add FLOAT16_VECTOR column type with f16-quantized storage and all distance metrics
Add batch_topk_distance Python API for batched multi-query vector search
Add execute_batch Python API for parallel SQL execution via scheduler
Add schema evolution: add_column/drop_column on existing tables via Rust Embedded API
Add new docs: RUST_EMBEDDED_API.md, FLOAT16_VECTOR_GUIDE.md, ENGINEERING_GUIDELINES.md

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Query Engine	14
PostgreSQL Wire Protocol	1
Storage Engine	14
Benchmarks	13
Tests	5

v1.8.0 ¶

2026-02-25

Compare with v1.7.0

Add vector_ops.rs module implementing 6 vector distance functions (L2, L1, Linf, cosine, inner_product, array_distance)
Add TopK vector search via ORDER BY array_distance(col, [query]) LIMIT k
Add SQL INSERT with vector array literals and string literal auto-coercion
Add Python topk_distance() API with 6 distance metrics, custom column names, and numpy support
Add SQL explode_rename(topk_distance(...)) for SQL-based top-k with JOIN
Add set_compression/get_compression API (LZ4, Zstd)
Add batch_replace API for bulk row replacement by ID
Add optimize() method to compact storage and get_column_dtype for schema introspection
Add new benchmarks: bench_vector.py, bench_vs_polars.py, bench_no_cache.py, bench_simsimd.py
Add test_vector_ops.py with 1000+ lines of distance tests cross-validated against numpy

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Benchmarks	5
Tests	5

v1.7.0 ¶

2026-02-23

Compare with v1.6.0

Add full-text search (FTS) module with CREATE FTS INDEX SQL syntax and search_text() Python API
Rewrite window function engine: ROW_NUMBER, RANK, DENSE_RANK, LAG, LEAD, FIRST_VALUE, SUM/AVG windows
Fix NULL semantics: LAG/LEAD return NULL at partition boundaries, COUNT(col) excludes NULLs
Add set operations: UNION (dedup), UNION ALL, INTERSECT, EXCEPT with multi-column variants
Add subquery support: scalar subqueries, IN/NOT IN, correlated EXISTS
Add multiple CTE support with chaining and CTE+window function combinations
Add CASE expressions with WHEN/THEN/ELSE, including CASE in GROUP BY
Add comprehensive test suites: test_comprehensive_coverage.py, test_sql_edge_cases.py
Add bench_fts.rs example for FTS in Rust

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Storage Engine	8
Benchmarks	1
Other	1
Tests	4

v1.6.0 ¶

2026-02-21

Compare with v1.5.0

Add in-place UPDATE execution via scan_and_update_inplace — writes directly to disk without full rewrite
Rewrite delta store from log-based to map-based (HashMap) preventing unbounded log growth
Add delta_batch_update_rows for multiple cell-level updates in a single lock acquisition
Add scan_numeric_range_mmap_with_ids — combined WHERE column scan + ID retrieval in one pass
Add pending delta application (apply_pending_deltas_in_place) for save_v4() baking
Add DELETE + window function + FTS benchmarks
Add warm no-gc benchmark mode for measuring without GC interference

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v1.5.0 ¶

2026-02-20

Compare with v1.4.0

Add open_for_read_with_file to save 2 syscalls by reusing pre-opened File handle
Add fast path for SELECT COUNT(*) — bypasses SQL parser, reads directly from active_row_count atomic
Add batch Arrow column → Python list converter (arrow_col_to_pylist) eliminating per-element dispatch
Refactor LRU cache with AtomicU64 for lock-free access time tracking
Add regex pre-compilation in Python client for faster SQL parsing
Merge File::open + metadata into a single syscall in get_cached_backend
Add 8 new benchmarks: full scan→pandas, multi-GROUP BY, LIKE, multi-condition, multi-ORDER BY, COUNT DISTINCT, IN filter, UPDATE

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v1.4.0 ¶

2026-02-20

Compare with v1.3.0

Add FTS auto-sync on INSERT: newly inserted rows automatically indexed
Add FTS auto-sync on DELETE: deleted rows removed from FTS indexes
Add CREATE FTS INDEX backfill: existing rows indexed on creation
Add ALTER FTS INDEX ... ENABLE backfill support
Add cross-database SHOW FTS INDEXES with enabled/disabled status
Remove roadmap/planning docs (HTAP_GAP_ANALYSIS.md, HTAP_ROADMAP.md, P0_IMPLEMENTATION_PLAN.md)

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v1.3.0 ¶

2026-02-20

Compare with v1.2.0

Add SQL-native full-text search DDL: CREATE/DROP/ALTER FTS INDEX, SHOW FTS INDEXES
Add FTS query predicates: MATCH('query') and FUZZY_MATCH('query') in WHERE clauses
Add FTS_GUIDE.md documentation (478 lines) covering architecture, SQL usage, and configuration
Upgrade nanofts to 0.5.0 with zero-copy Arrow indexing (~3.3M docs/s throughput)
Add global FtsManager registry and fts_config.json persistence

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v1.2.0 ¶

2026-02-20

Compare with v1.1.0

Add multi-database support with isolated subdirectories, use_database(), and cross-database SQL
Add Arrow Flight gRPC server with zero-copy columnar data transfer
Add unified apexbase-serve CLI launching both PG Wire and Flight servers
Add bench_flight.py and bench_pg_wire.py comparing server protocol performance
Add mmap-based aggregation path, per-instance backend caching, SQL parse caching
Add TCP_NODELAY on server sockets and per-connection USE/\c database switching
Add comprehensive multi-database test suite (496 lines)

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Arrow Flight gRPC	2
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Python Bindings	3
Query Engine	7
PostgreSQL Wire Protocol	4
Storage Engine	8
Benchmarks	5
Tests	1

v1.1.0 ¶

2026-02-10

Compare with v1.0.0

Add Extended Query Handler for prepared statement support
Add SQL comment stripping (-- and / /) before statement type detection
Add proper PostgreSQL command tags (INSERT oid+rows, DELETE rows, etc.)
Add pg_catalog support for pg_tables, pg_stat_user_tables
Improve DROP TABLE with cleanup of WAL, delta, deltastore files
Add line comment (--) support to SQL parser

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v1.0.0 ¶

2026-02-10

Compare with v0.6.0

Release v1.0 — first stable release
Add PostgreSQL wire protocol server with DBeaver/psql/DataGrip/pgAdmin/Navicat support
Add pg_catalog compatibility layer (pg_namespace, pg_database, pg_class, pg_attribute, information_schema)
Add Arrow type→PostgreSQL type mapping and FieldInfo generation
Major README rewrite with HTAP feature list (transactions, MVCC, indexing, window functions, 70+ built-in functions)

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v0.6.0 ¶

2026-02-09

Compare with v0.5.0

Split monolithic executor.rs (~11554 lines) into modular submodules (aggregation, ddl, dml, expressions, joins, select, window, tests)
Split monolithic on_demand.rs (~10072 lines) into modular submodules (agg_wal, arrow_io, header, mmap_scan, read_write, storage_core, tests, types)
Add window function support (ROW_NUMBER, RANK, DENSE_RANK, NTILE, LAG, LEAD, FIRST_VALUE, LAST_VALUE)
Add CTE (WITH ... AS), EXPLAIN/ANALYZE query plans, UNION/UNION ALL support
Add concurrency stress test, constraint tests, DuckDB memory comparison tests

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Storage Engine	18
Transaction Manager	2
Benchmarks	1
Other	1
Tests	9

v0.5.0 ¶

2026-02-07

Compare with v0.4.2

Add query planner with OLTP (index-based) and OLAP (vectorized) routing
Add indexing subsystem: B-Tree, hash index, index manager with CREATE/DROP/REINDEX SQL
Add transaction support: transaction context, manager, OCC conflict detection
Add MVCC engine: snapshot isolation, row versioning, garbage collection
Add DeltaStore cell-level updates with merge-commit compaction
Add global storage engine registry with LRU cache
Add HTAP architecture support with scaling module (partition, shard, node, router)
Rewrite on_demand.rs (~4000→9939 lines) with full columnar storage, LZ4/Zstd compression, WAL durability

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Storage Engine	17
Transaction Manager	4
Other	1
Benchmarks	1
Tests	23

v0.4.2 ¶

2026-02-02

Compare with v0.4.1

Add persistent Row Group Bloom Filters for fast row group skipping
Add DirectCountAgg for fast counting aggregation using direct array indexing
Remove DuckDB comparison benchmarks and legacy test scripts
Improve on_demand storage with per-column dictionary caching and SIMD filter scanning

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v0.4.1 ¶

2026-02-01

Compare with v0.4.0

Add comprehensive documentation: API_REFERENCE.md (865 lines), EXAMPLES.md, QUICK_START.md
Add benchmark suite comparing ApexBase vs DuckDB
Add bloom filter-based row group skipping in storage engine
Add list_databases() method to Python client

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v0.4.0 ¶

2026-02-01

Compare with v0.3.0

Add adaptive multi-column filter strategy with smart column ordering
Add SIMD-accelerated take/gather operations (AVX2 on x86, NEON on ARM)
Add fast path for Complex (Filter+Group+Order) queries
Add delete(where=) support to Python client
Refactor init.py (~1412→157 lines) by delegating to client.py

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v0.3.0 ¶

2026-01-29

Compare with v0.2.3

Add DML support (INSERT, DELETE, UPDATE, TRUNCATE) to SQL executor
Add DDL support (CREATE/DROP/ALTER TABLE) with schema management
Add comprehensive DDL/DML test suite (~1957 lines)
Add performance optimization fast paths for string/numeric/multi-condition filters
Translate all documentation from Chinese to English

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v0.2.3 ¶

2026-01-27

Compare with v0.2.2

Add multi-platform wheel builds (Windows/macOS/Linux) for Python 3.9-3.13
Refactor GitHub Actions: separate Linux manylinux build job

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v0.2.2 ¶

2026-01-27

Compare with v0.2.1

Add maturin multi-platform wheel builds with Python interpreter path detection
Remove old technical design docs
Improve README with installation, usage, and benchmarks

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v0.2.1 ¶

2026-01-27

Compare with v0.2.0

Version bump and minor CI fixes

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v0.2.0 ¶

2026-01-27

Compare with v0.1.0

Complete core rewrite from Python to Rust with PyO3 bindings
Add Rust-native columnar storage engine with .apex file format
Add Rust-native SQL query executor with vectorized Arrow processing and Cranelift JIT
Add Arrow IPC zero-copy data bridge between Rust and Python
Add comprehensive test suite (~12000 lines)
Replace DuckDB storage with custom columnar storage engine

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Query Engine	7
Storage Engine	4
Table Catalog	5
Tests	17

v0.1.0 ¶

2025-08-02

Compare with v0.0.2

Replace SQLite storage with DuckDB-based storage engine
Add full-text search module with index creation, fuzzy matching, and snippets
Rewrite ApexClient with caching, auto-switch, list_tables, close methods
Add ResultView with to_dict/to_pandas/to_arrow converters
Add comprehensive test suite (test_apex_client.py, 622 lines)

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v0.0.2 ¶

2025-01-25

Compare with v0.0.1

Add package metadata: Apache-2.0 license, PyPI classifiers for Python 3.9–3.13
Fix GitHub Actions CI/CD pipeline for PyPI publishing

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v0.0.1 ¶

2025-01-25

Initial release — project bootstrap
ApexClient Python class for database management (CRUD operations)
SQLite-based Storage with batch operations and LimitedDict LRU cache
Query class with SQL-like filter parsing (WHERE, ORDER BY, LIMIT, BETWEEN, LIKE, IN)
SQLParser/SQLGenerator modules for expression handling
GitHub Actions CI/CD pipeline setup

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