Bump version to 1.1.6; fix storage bugs, tests, CI pipeline and Docker config
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Storage fixes: - Fix bloom filter hash2 OverflowDefect (uint64 instead of int Hash) - Fix MemTable.put size calculation on overwrite (was leaking size) - Fix fuzz_test duplicate-key issues in LSM delete and SSTable tests Test fixes: - Fix stress_test.nim: replace deprecated threadpool with std/threads - Fix fuzz_test.nim: add missing imports (tables, algorithm, sets) - Fix fuzz_test.nim: var sst for close() compatibility - Remove unused imports from test_all.nim and bench_all.nim Docker / CI fixes: - Fix Dockerfile.source: invalid nimlang/nim:2.2.10-alpine tag → 2.2.10 + ubuntu:24.04 runtime - Fix Dockerfile.source healthcheck (--spider → -qO- for 200 OK) - Fix Dockerfile run comment ports (9470/9471 → 9912/9913) - Fix scripts/docker-run.sh healthcheck port (9470 → 9912) - Add ARG BUILD_DATE/VCS_REF to Dockerfile for docker-build.sh - Update all version strings 1.1.4 → 1.1.6 across nimble/docker/source/docs
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@@ -4,7 +4,7 @@
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**A multimodal database engine written in Nim — 100% native, zero dependencies.**
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[](baradadb.nimble)
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[](baradadb.nimble)
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[](docs/index.md)
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[](https://github.com/katehonz/barabaDB)
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@@ -1456,7 +1456,7 @@ nim c -d:release -r benchmarks/bench_all.nim
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| Protocol (binary + HTTP + WS + pool + auth + ratelimit) | ✅ | 100% | v1.0.0 |
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| Schema (inheritance + computed + migrations) | ✅ | 100% | v1.0.0 |
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| Vector engine (HNSW + IVF-PQ + quant + SIMD + metadata) | ✅ | 100% | v1.0.0 |
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| Vector SQL Integration (VECTOR type, distance functions, <->, HNSW indexes) | ✅ | 100% | v1.1.4 |
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| Vector SQL Integration (VECTOR type, distance functions, <->, HNSW indexes) | ✅ | 100% | v1.1.6 |
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| Graph engine (all algorithms + pattern matching) | ✅ | 100% | v1.0.0 |
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| FTS (BM25 + TF-IDF + fuzzy + regex + multi-language) | ✅ | 100% | v1.0.0 |
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| CLI shell | ✅ | 100% | v1.0.0 |
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@@ -1464,13 +1464,13 @@ nim c -d:release -r benchmarks/bench_all.nim
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| Cross-modal queries | ✅ | 100% | v1.0.0 |
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| Backup & Recovery | ✅ | 100% | v1.0.0 |
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| Client SDKs (JS, Python, Nim, Rust) | ✅ | 100% | v1.0.0 |
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| Graph SQL Integration (CREATE GRAPH, GRAPH_TABLE, Cypher) | ✅ | 100% | v1.1.4 |
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| Hybrid RAG Search (vector + FTS + RRF reranking) | ✅ | 100% | v1.1.4 |
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| AI Chunking & Auto-Embedding (`chunk()`, `embed_text()`) | ✅ | 100% | v1.1.4 |
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| NL→SQL (`nl_to_sql()`, `schema_prompt()`) | ✅ | 100% | v1.1.4 |
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| MCP Server (STDIO JSON-RPC for AI agents) | ✅ | 100% | v1.1.4 |
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| LangChain Vector Store (Python + JS) | ✅ | 100% | v1.1.4 |
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| Production Hardening (prop tests, fuzz tests, thread safety) | ✅ | 100% | v1.1.4 |
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| Graph SQL Integration (CREATE GRAPH, GRAPH_TABLE, Cypher) | ✅ | 100% | v1.1.6 |
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| Hybrid RAG Search (vector + FTS + RRF reranking) | ✅ | 100% | v1.1.6 |
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| AI Chunking & Auto-Embedding (`chunk()`, `embed_text()`) | ✅ | 100% | v1.1.6 |
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| NL→SQL (`nl_to_sql()`, `schema_prompt()`) | ✅ | 100% | v1.1.6 |
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| MCP Server (STDIO JSON-RPC for AI agents) | ✅ | 100% | v1.1.6 |
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| LangChain Vector Store (Python + JS) | ✅ | 100% | v1.1.6 |
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| Production Hardening (prop tests, fuzz tests, thread safety) | ✅ | 100% | v1.1.6 |
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## Current Limitations
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