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record_batch.rs
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64 lines (57 loc) · 2.01 KB
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// 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 crate::utils::wait_for_future;
use datafusion::arrow::pyarrow::PyArrowConvert;
use datafusion::arrow::record_batch::RecordBatch;
use datafusion::physical_plan::SendableRecordBatchStream;
use futures::StreamExt;
use pyo3::{pyclass, pymethods, PyObject, PyResult, Python};
#[pyclass(name = "RecordBatch", module = "datafusion", subclass)]
pub struct PyRecordBatch {
batch: RecordBatch,
}
#[pymethods]
impl PyRecordBatch {
fn to_pyarrow(&self, py: Python) -> PyResult<PyObject> {
self.batch.to_pyarrow(py)
}
}
impl From<RecordBatch> for PyRecordBatch {
fn from(batch: RecordBatch) -> Self {
Self { batch }
}
}
#[pyclass(name = "RecordBatchStream", module = "datafusion", subclass)]
pub struct PyRecordBatchStream {
stream: SendableRecordBatchStream,
}
impl PyRecordBatchStream {
pub fn new(stream: SendableRecordBatchStream) -> Self {
Self { stream }
}
}
#[pymethods]
impl PyRecordBatchStream {
fn next(&mut self, py: Python) -> PyResult<Option<PyRecordBatch>> {
let result = self.stream.next();
match wait_for_future(py, result) {
None => Ok(None),
Some(Ok(b)) => Ok(Some(b.into())),
Some(Err(e)) => Err(e.into()),
}
}
}