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142 lines (123 loc) · 4.48 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.
#[cfg(feature = "mimalloc")]
use mimalloc::MiMalloc;
use pyo3::prelude::*;
// Re-export Apache Arrow DataFusion dependencies
pub use datafusion;
pub use datafusion::common as datafusion_common;
pub use datafusion::logical_expr as datafusion_expr;
pub use datafusion::optimizer;
pub use datafusion::sql as datafusion_sql;
#[cfg(feature = "substrait")]
pub use datafusion_substrait;
#[allow(clippy::borrow_deref_ref)]
pub mod catalog;
pub mod common;
#[allow(clippy::borrow_deref_ref)]
mod config;
#[allow(clippy::borrow_deref_ref)]
pub mod context;
#[allow(clippy::borrow_deref_ref)]
pub mod dataframe;
mod dataset;
mod dataset_exec;
pub mod errors;
#[allow(clippy::borrow_deref_ref)]
pub mod expr;
#[allow(clippy::borrow_deref_ref)]
mod functions;
pub mod physical_plan;
mod pyarrow_filter_expression;
pub mod pyarrow_util;
mod record_batch;
pub mod sql;
pub mod store;
pub mod unparser;
#[cfg(feature = "substrait")]
pub mod substrait;
#[allow(clippy::borrow_deref_ref)]
mod udaf;
#[allow(clippy::borrow_deref_ref)]
mod udf;
pub mod udtf;
mod udwf;
pub mod utils;
#[cfg(feature = "mimalloc")]
#[global_allocator]
static GLOBAL: MiMalloc = MiMalloc;
// Used to define Tokio Runtime as a Python module attribute
pub(crate) struct TokioRuntime(tokio::runtime::Runtime);
/// Low-level DataFusion internal package.
///
/// The higher-level public API is defined in pure python files under the
/// datafusion directory.
#[pymodule]
fn _internal(py: Python, m: Bound<'_, PyModule>) -> PyResult<()> {
// Initialize logging
pyo3_log::init();
// Register the python classes
m.add_class::<context::PyRuntimeEnvBuilder>()?;
m.add_class::<context::PySessionConfig>()?;
m.add_class::<context::PySessionContext>()?;
m.add_class::<context::PySQLOptions>()?;
m.add_class::<dataframe::PyDataFrame>()?;
m.add_class::<dataframe::PyParquetColumnOptions>()?;
m.add_class::<dataframe::PyParquetWriterOptions>()?;
m.add_class::<udf::PyScalarUDF>()?;
m.add_class::<udaf::PyAggregateUDF>()?;
m.add_class::<udwf::PyWindowUDF>()?;
m.add_class::<udtf::PyTableFunction>()?;
m.add_class::<config::PyConfig>()?;
m.add_class::<sql::logical::PyLogicalPlan>()?;
m.add_class::<physical_plan::PyExecutionPlan>()?;
m.add_class::<record_batch::PyRecordBatch>()?;
m.add_class::<record_batch::PyRecordBatchStream>()?;
let catalog = PyModule::new(py, "catalog")?;
catalog::init_module(&catalog)?;
m.add_submodule(&catalog)?;
// Register `common` as a submodule. Matching `datafusion-common` https://docs.rs/datafusion-common/latest/datafusion_common/
let common = PyModule::new(py, "common")?;
common::init_module(&common)?;
m.add_submodule(&common)?;
// Register `expr` as a submodule. Matching `datafusion-expr` https://docs.rs/datafusion-expr/latest/datafusion_expr/
let expr = PyModule::new(py, "expr")?;
expr::init_module(&expr)?;
m.add_submodule(&expr)?;
let unparser = PyModule::new(py, "unparser")?;
unparser::init_module(&unparser)?;
m.add_submodule(&unparser)?;
// Register the functions as a submodule
let funcs = PyModule::new(py, "functions")?;
functions::init_module(&funcs)?;
m.add_submodule(&funcs)?;
let store = PyModule::new(py, "object_store")?;
store::init_module(&store)?;
m.add_submodule(&store)?;
// Register substrait as a submodule
#[cfg(feature = "substrait")]
setup_substrait_module(py, &m)?;
m.add_class::<dataframe::DistributedPlan>()?;
Ok(())
}
#[cfg(feature = "substrait")]
fn setup_substrait_module(py: Python, m: &Bound<'_, PyModule>) -> PyResult<()> {
let substrait = PyModule::new(py, "substrait")?;
substrait::init_module(&substrait)?;
m.add_submodule(&substrait)?;
Ok(())
}