Update libraries

.github/workflows/build-wheels.yml

@@ -67,6 +67,7 @@ jobs:
             extras: "uv"
           env:
             CIBW_ARCHS: ${{ matrix.cibw_arch }}
+            CIBW_SKIP: "cp313t-*"
 
         - uses: actions/upload-artifact@v4
           with:
@@ -80,7 +81,7 @@ jobs:
       - uses: actions/checkout@v4
 
       - name: Install uv and set the Python version
-        uses: astral-sh/setup-uv@v7
+        uses: astral-sh/setup-uv@v8.3.2
         with:
           python-version: 3.12
           enable-cache: true
@@ -113,7 +114,7 @@ jobs:
         run: ls -l dist
 
       - name: Install uv and set the Python version
-        uses: astral-sh/setup-uv@v7
+        uses: astral-sh/setup-uv@v8.3.2
         with:
           python-version: 3.12
           # No caching needed for publish step

.github/workflows/unittests.yml

@@ -39,24 +39,25 @@ jobs:
       - uses: actions/checkout@v4
 
       - name: Set up Cargo registry cache
-        uses: actions/cache@v3
+        uses: actions/cache@v4
         with:
           path: ~/.cargo/registry
           key: ${{ runner.os }}-cargo-registry-${{ hashFiles('**/Cargo.lock') }}
           restore-keys: |
             ${{ runner.os }}-cargo-registry-
 
       - name: Set up Cargo build cache
-        uses: actions/cache@v3
+        uses: actions/cache@v4
         with:
           path: target
           key: ${{ runner.os }}-cargo-build-${{ hashFiles('**/Cargo.lock') }}
           restore-keys: |
             ${{ runner.os }}-cargo-build-
 
       - name: Install uv and set the Python version
-        uses: astral-sh/setup-uv@v7
+        uses: astral-sh/setup-uv@v8.3.2
         with:
+          version: "latest"
           python-version: ${{ matrix.python-version }}
           enable-cache: true
 
@@ -106,4 +107,4 @@ jobs:
           FAST_MSSQL_TEST_DB_PASSWORD: "YourStrong@Password"
           FAST_MSSQL_TEST_SERVER: "localhost"
           FAST_MSSQL_TEST_PORT: "1433"
-          FAST_MSSQL_TEST_DATABASE: "master"
+          FAST_MSSQL_TEST_DATABASE: "master"

Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "fastmssql_core"
-version = "0.7.3"
+version = "0.7.4"
 edition = "2024"
 
 [lib]
@@ -27,24 +27,24 @@ debug = true               # Keep debug info for development
 opt-level = 2
 
 [dependencies]
-pyo3 = { version = "0.28.3", features = ["extension-module", "abi3-py311", "chrono"] }
-pyo3-async-runtimes = { version = "0.28.0", features = ["tokio", "tokio-runtime"] }
+pyo3 = { version = "0.29.0", features = ["extension-module", "abi3-py311", "chrono"] }
+pyo3-async-runtimes = { version = "0.29.0", features = ["tokio", "tokio-runtime"] }
 tokio = { version = "1.52.3", features = ["rt-multi-thread", "net", "sync", "time", "io-util", "process"] }
 tokio-util = { version = "0.7.18", features = ["compat"] }
 tiberius = { version = "0.12.3", features = ["chrono", "tds73", "rustls"], default-features = false }
 bb8 = "0.9.1"
 
-chrono = { version = "0.4.44" }
-uuid = { version = "1.23.1" }
+chrono = { version = "0.4.45" }
+uuid = { version = "1.23.4" }
 ahash = "0.8.12"              # Faster hashing algorithm (used in optimized_types.rs)
-smallvec = "1.15.1"          # Stack-allocated vectors for small collections
+smallvec = "1.15.2"          # Stack-allocated vectors for small collections
 mimalloc = { version = "0.1.52", default-features = false } # Microsoft's fast memory allocator
 slab = "0.4.12"              # Pinned sub-dependency due to CVE-2025-55159
-bytes = "1.11.1"             # Pinned sub-dependency due to CVE-2026-25541
-quinn-proto = "0.11.14"      # Pinned sub-dependency due to CVE-2026-31812
+bytes = "1.12.0"             # Pinned sub-dependency due to CVE-2026-25541
+quinn-proto = "0.11.15"      # Pinned sub-dependency due to CVE-2026-31812
 
 # Azure authentication dependencies
-reqwest = { version = "0.13.3", features = ["json", "form", "rustls"], default-features = false }
+reqwest = { version = "0.13.4", features = ["json", "form", "rustls"], default-features = false }
 serde_json = "1.0.150"
 
 

README.md

@@ -28,7 +28,6 @@ Great for data ingestion, bulk inserts, and large-scale query workloads.
 - Thread‑safe: safe to use in concurrent apps
 - Cross‑platform: Windows, macOS, Linux
 - Batch operations: high-performance bulk inserts and batch query execution
-- Apache Arrow support
 
 ## Installation
 
@@ -38,14 +37,6 @@ Great for data ingestion, bulk inserts, and large-scale query workloads.
 pip install fastmssql
 ```
 
-### Optional dependencies
-
-**Apache Arrow support** (for `to_arrow()` method):
-
-```bash
-pip install fastmssql[arrow]
-```
-
 ### Prerequisites
 
 - Python 3.11 to 3.14
@@ -352,42 +343,6 @@ async def main_fetching():
 asyncio.run(main_fetching())
 ```
 
-### Apache Arrow
-
-Convert query results to Apache Arrow tables for efficient bulk data processing and interoperability with data science tools:
-
-```python
-import asyncio
-from fastmssql import Connection
-
-async def main():
-    conn_str = "Server=localhost;Database=master;User Id=myuser;Password=mypass"
-    async with Connection(conn_str) as conn:
-        # Execute query and convert to Arrow
-        result = await conn.query("SELECT id, name, salary FROM employees")
-        arrow_table = result.to_arrow()
-
-        # Arrow Table enables:
-        # - Efficient columnar storage and compute
-        # - Integration with Pandas, DuckDB, Polars
-        # - Parquet/ORC serialization
-        df = arrow_table.to_pandas()  # Convert to pandas DataFrame
-        print(df)
-
-        # Write to Parquet for long-term storage
-        import pyarrow.parquet as pq
-        pq.write_table(arrow_table, "employees.parquet")
-
-        # Or use with DuckDB for analytical queries
-        import duckdb
-        result = duckdb.from_arrow(arrow_table).filter("salary > 50000").execute()
-        print(result.fetchall())
-```
-
-**Requirements**: Install PyArrow with `pip install pyarrow`
-
-Note: Results are converted eagerly into Arrow arrays. For very large datasets, consider chunking queries or using iteration-based processing instead.
-
 ### Connection pooling
 
 Tune the pool to fit your workload. Constructor signature:

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "maturin"
 
 [project]
 name = "fastmssql"
-version = "0.7.3"
+version = "0.7.4"
 
 description = "A high-performance async Python library for Microsoft SQL Server built on Rust for heavy workloads and low latency."
 readme = "README.md"
@@ -69,14 +69,14 @@ Repository = "https://github.com/Rivendael/FastMssql"
 "Bug Tracker" = "https://github.com/Rivendael/FastMssql/issues"
 Documentation = "https://github.com/Rivendael/FastMssql#readme"
 
-[project.optional-dependencies]
-arrow = ["pyarrow>=13.0.0"]
-
 [tool.maturin]
 features = ["pyo3/abi3-py311"]
 module-name = "fastmssql"
 python-source = "python"
-include = ["fastmssql.pyi"]
+include = [
+    "python/fastmssql/*.pyi",
+    "python/fastmssql/py.typed",
+]
 
 [tool.pytest.ini_options]
 minversion = "6.0"
@@ -109,9 +109,6 @@ filterwarnings = [
     "ignore::PendingDeprecationWarning",
 ]
 
-[tool.uv]
-required-version = ">=0.9.7"
-
 [tool.cibuildwheel]
 build-frontend = "build[uv]"
 build = "cp311-* cp312-* cp313-* cp313t-* cp314-* cp314t-*"
@@ -142,18 +139,16 @@ MACOSX_DEPLOYMENT_TARGET = "10.15"
 
 [dependency-groups]
 dev = [
-    "ruff>=0.15.11",
-    "pytest==9.0.3",
-    "pytest-asyncio==1.3.0",
+    "ruff>=0.15.20",
+    "pytest==9.1.1",
+    "pytest-asyncio==1.4.0",
     "pytest-timeout==2.4.0",
     "psutil==7.2.2",            # For memory and process monitoring in stress tests
     "pytest-xdist==3.8.0",
-    "maturin==1.13.1",
+    "maturin==1.14.1",
     "python-dotenv==1.2.2",
-    "cibuildwheel[uv]>=3.4.1",
+    "cibuildwheel[uv]>=4.1.0",
     "wheel==0.47.0",
-    "filelock==3.29.0",
-    "pyarrow==23.0.1",
+    "filelock==3.29.5",
     "uvloop==0.22.1"
-
 ]