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# PyPaimon Rust

This project builds the Rust-powered core for [PyPaimon](https://paimon.apache.org/docs/master/pypaimon/overview/) while also providing DataFusion integration for querying Paimon tables.

## Usage

```python
import pyarrow as pa
from pypaimon_rust.datafusion import SQLContext

# Create a SQL context and register a Paimon catalog
ctx = SQLContext()
ctx.register_catalog("paimon", {"warehouse": "/tmp/paimon-warehouse"})

# Create a table and insert data
ctx.sql("CREATE SCHEMA paimon.my_db")
ctx.sql("CREATE TABLE paimon.my_db.users (id INT, name STRING, PRIMARY KEY (id))")
ctx.sql("INSERT INTO paimon.my_db.users VALUES (1, 'alice'), (2, 'bob')")

# Query data
batches = ctx.sql("SELECT id, name FROM paimon.my_db.users ORDER BY id")

# Register a temporary table from a PyArrow RecordBatch
batch = pa.record_batch([[1, 2], ["alice", "bob"]], names=["id", "name"])
ctx.register_batch("paimon.default.my_temp", batch)
batches = ctx.sql("SELECT * FROM paimon.default.my_temp")

# Drop it via SQL when no longer needed
ctx.sql("DROP TEMPORARY TABLE paimon.default.my_temp")
```

For the full SQL reference, see the [SQL Integration docs](https://paimon.apache.org/docs/master/sql/).

## Setup

Install [uv](https://docs.astral.sh/uv/getting-started/installation/):

```shell
pip install uv
```

Set up the development environment:

```shell
make install
```

## Build

```shell
make build
```

## Test

Python integration tests expect the shared Paimon test warehouse to be prepared
first from the repository root:

```shell
make docker-up
cd bindings/python
```

```shell
make test
```````