blob: 0a0c35c90976fbe1d2f5fe3c78ca2bff7516fdf5 [file]
// 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.
use std::sync::Arc;
use pyo3::prelude::*;
use crate::schema::PyTableSchema;
#[pyclass(name = "Table", module = "pypaimon_rust.datafusion")]
pub struct PyTable {
pub(crate) inner: Arc<paimon::table::Table>,
}
impl PyTable {
pub fn new(inner: Arc<paimon::table::Table>) -> Self {
Self { inner }
}
}
#[pymethods]
impl PyTable {
fn identifier(&self) -> String {
let id = self.inner.identifier();
format!("{}.{}", id.database(), id.object())
}
fn location(&self) -> String {
self.inner.location().to_string()
}
fn schema(&self) -> PyTableSchema {
PyTableSchema::new(self.inner.schema().clone())
}
}