ApexBase v1.32.0

2026-08-29

Compare with v1.31.1

• Add a true process-local in-memory backend for ApexClient(":memory:"), with the same table, SQL, DDL, DML, index, and full-text query paths as disk-backed databases while avoiding database, catalog, WAL, delta, and index files
• Add the process-local apexbase.execute() convenience API, backed by a lazily initialized shared in-memory connection for small embedded SQL workflows
• Preserve in-memory read-your-write behavior across table creation, schema changes, inserts, updates, deletes, truncation, table listing, and database cleanup
• Add direct file fast paths for CSV/TSV reads, including COUNT(*), bounded LIMIT/OFFSET, scalar aggregates, filtered aggregation, and string or numeric GROUP BY queries
• Reduce query-planning and scan overhead for GROUP BY, HAVING, join aggregation, dictionary-backed projections, null checks, and mmap TopK paths while retaining generic fallbacks for unsupported shapes
• Add bounded analytical result caching with lazy Python-dictionary or Arrow representations, file-generation and table-epoch invalidation, transaction/volatile-query protection, and write-visible invalidation for in-memory tables
• Harden dictionary-indexed projections so mixed, nullable, or out-of-range dictionary data safely falls back to the general reader instead of constructing invalid arrays
• Make Lance conversion safe for source columns containing dotted names by producing unique top-level field names
• Add cross-engine default-execute and in-memory comparisons, expanded CSV/file-read and cache-invalidation regression coverage, and a recovered full TFTP OLAP benchmark covering native, in-memory, and raw-file workloads
• Update the Rust crate and Python package version metadata to 1.32.0