blob: 1c908bcec0bf4d63cf6217e397b28caa9f15c946 [file] [view]
<!--
~ Licensed to the Apache Software Foundation (ASF) under one
~ or more contributor license agreements. See the NOTICE file
~ distributed with this work for additional information
~ regarding copyright ownership. The ASF licenses this file
~ to you under the Apache License, Version 2.0 (the
~ "License"); you may not use this file except in compliance
~ with the License. You may obtain a copy of the License at
~
~ http://www.apache.org/licenses/LICENSE-2.0
~
~ Unless required by applicable law or agreed to in writing,
~ software distributed under the License is distributed on an
~ "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
~ KIND, either express or implied. See the License for the
~ specific language governing permissions and limitations
~ under the License.
-->
# 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
```````