qroissant/PKG-INFO

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Metadata-Version: 2.4
Name: qroissant
Version: 0.3.0
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Rust
Summary: q/kdb+ IPC client library with Arrow-native Python interoperability
Keywords: kdb,q,ipc,arrow,pyo3
Author: qroissant contributors
License-Expression: Apache-2.0
Requires-Python: >=3.10
Description-Content-Type: text/markdown; charset=UTF-8; variant=GFM
# qroissant
qroissant is a minimal q/kdb+ IPC client library with first-class support for the Apache Arrow ecosystem.
- **Lightweight** — qroissant is a minimal library weighing in at less than 4 MiB with no required dependencies.
- **Fast** — qroissant is written in Rust, a safe and high-performance systems programming language. Moreover, qroissant uses your system resources to the best extent possible by leveraging zero-copy, multithreading, and other vectorization techniques such as SIMD.
- **Modular** — qroissant relies heavily on the [Apache Arrow PyCapsule Interface](https://arrow.apache.org/docs/format/CDataInterface/PyCapsuleInterface.html) for communicating with other libraries from the Apache Arrow ecosystem with zero-copy. This includes pyarrow, polars, duckdb, pandas, datafusion, and more.
- **Type hints** — qroissant provides type annotations for all of its functionality.
---
## Installation
```bash
pip install qroissant
```
Requires Python 3.10+. Wheels are available for Linux (x86\_64, aarch64), macOS (universal2), and Windows (x86\_64).
---
## Quick start
### Connect and query
```python
import qroissant as q
endpoint = q.Endpoint.tcp("localhost", 5000)
with q.Connection(endpoint) as conn:
result = conn.query("select from trade where date = .z.d")
print(result) # Table
```
### To Arrow / Polars / PyArrow
Decoded values implement the Arrow PyCapsule protocol — pass them straight to any Arrow-aware library:
```python
import polars as pl
import pyarrow as pa
with q.Connection(endpoint) as conn:
table = conn.query("select from trade")
# zero-copy — no intermediate Python objects
df = pl.from_arrow(table)
pa_table = pa.RecordBatch.from_batches([pa.record_batch(table)])
```
### Async
```python
import asyncio
import qroissant as q
async def main():
endpoint = q.Endpoint.tcp("localhost", 5000)
async with q.AsyncConnection(endpoint) as conn:
result = await conn.query("1 + 1")
print(result) # Atom → 2
asyncio.run(main())
```
### Connection pool
```python
pool_opts = q.PoolOptions(
max_size=10,
min_idle=2,
checkout_timeout_ms=5_000,
test_on_checkout=True,
)
with q.Pool(endpoint, pool=pool_opts) as pool:
pool.prewarm() # open idle connections eagerly
result = pool.query("count trade") # checked out and returned automatically
print(pool.metrics()) # PoolMetrics(connections=2, idle=2, …)
```
### Streaming raw response
For large results you can stream the raw IPC bytes before decoding:
```python
with q.Connection(endpoint) as conn:
with conn.query("select from trade", raw=True) as resp:
print(resp.header) # MessageHeader(size=…, compression=…)
value = resp.decode() # decode on demand
```
### Standalone encode / decode
```python
# decode an IPC payload you already have
payload: bytes = ...
value = q.decode(payload)
# encode a value back to IPC bytes
frame = q.encode(value, message_type=q.MessageType.SYNCHRONOUS)
```
---
## Value types
Every `conn.query()` call returns a `Value` subclass:
| q type | Python type | Arrow export |
|--------|------------|--------------|
| scalar (atom) | `Atom` | `__arrow_c_array__` |
| typed list | `Vector` | `__arrow_c_array__` |
| mixed list | `List` | `__arrow_c_array__` |
| dictionary | `Dictionary` | `__arrow_c_array__` (StructArray) |
| table | `Table` | `__arrow_c_stream__` |
---
## Decode options
Control how IPC data is projected into Arrow:
```python
opts = (
q.DecodeOptions.builder()
.with_symbol_interpretation(q.SymbolInterpretation.DICTIONARY) # dict-encode symbols
.with_temporal_nulls(True) # map q null sentinels → None
.with_treat_infinity_as_null(True) # map ±∞ → None
.with_parallel(True) # decode table columns in parallel
.build()
)
with q.Connection(endpoint, options=opts) as conn:
result = conn.query("select from trade")
```
---
## Endpoints
```python
# TCP
endpoint = q.Endpoint.tcp(
"localhost", 5000,
username="user",
password="pass",
timeout_ms=3_000,
)
# Unix domain socket
endpoint = q.Endpoint.unix(
"/tmp/qroissant.sock",
username="user",
password="pass",
)
```
---
## Error handling
```python
from qroissant import (
QroissantError, # base class
DecodeError, # malformed IPC payload
ProtocolError, # bad frame header
TransportError, # socket / IO failure
QRuntimeError, # q process returned an error
PoolError, # pool management failure
PoolClosedError, # operation on a closed pool
)
try:
result = conn.query("invalid expression")
except q.QRuntimeError as e:
print(f"q error: {e}")
except q.TransportError as e:
print(f"connection lost: {e}")
```
---
## Architecture
qroissant is organized as a Rust workspace with strict crate boundaries:
```
crates/
├── qroissant-core # q protocol, value types, encode/decode
├── qroissant-transport # sync & async TCP/Unix socket connections
├── qroissant-arrow # zero-copy Arrow projection
├── qroissant-kernels # SIMD / nightly-sensitive hot paths
└── qroissant-python # PyO3 bindings (the _native extension module)
```
The Python package at `python/qroissant/` re-exports everything from the compiled `_native` extension. The `.pyi` stub files in that directory define the public API contract.
---
## Development
```bash
# Install Python dependencies
uv sync --group dev --group docs
# Build the Rust extension (required before running Python tests)
uv run maturin develop
# Run tests
uv run pytest
cargo test --workspace
# Lint and format
uv run ruff check python/ tests/
cargo fmt --all
```
Transport integration tests require a q binary. Set `Q_BIN` to the path of your q executable before running `pytest`.
---
## License
Apache 2.0 — see [LICENSE](LICENSE).