Files
rustfs/crates/s3select-query/src/function/simple_func_manager.rs
T
houseme 5826396cd0 refactor: Restructure project layout and clean up dependencies (#30)
This commit introduces a significant reorganization of the project structure to improve maintainability and clarity.

Key changes include:
- Adjusted the directory layout for a more logical module organization.
- Removed unused crate dependencies, reducing the overall project size and potentially speeding up build times.
- Updated import paths and configuration files to reflect the structural changes.
2025-07-02 19:33:12 +08:00

120 lines
4.2 KiB
Rust

// Copyright 2024 RustFS Team
//
// Licensed 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::collections::HashMap;
use std::sync::Arc;
use datafusion::execution::SessionStateDefaults;
use datafusion::logical_expr::{AggregateUDF, ScalarUDF, WindowUDF};
use rustfs_s3select_api::query::function::FunctionMetadataManager;
use rustfs_s3select_api::{QueryError, QueryResult};
use tracing::debug;
pub type SimpleFunctionMetadataManagerRef = Arc<SimpleFunctionMetadataManager>;
#[derive(Debug)]
pub struct SimpleFunctionMetadataManager {
/// Scalar functions that are registered with the context
pub scalar_functions: HashMap<String, Arc<ScalarUDF>>,
/// Aggregate functions registered in the context
pub aggregate_functions: HashMap<String, Arc<AggregateUDF>>,
/// Window functions registered in the context
pub window_functions: HashMap<String, Arc<WindowUDF>>,
}
impl Default for SimpleFunctionMetadataManager {
fn default() -> Self {
let mut func_meta_manager = Self {
scalar_functions: Default::default(),
aggregate_functions: Default::default(),
window_functions: Default::default(),
};
SessionStateDefaults::default_scalar_functions().into_iter().for_each(|udf| {
let existing_udf = func_meta_manager.register_udf(udf.clone());
if let Ok(()) = existing_udf {
debug!("Overwrote an existing UDF: {}", udf.name());
}
});
SessionStateDefaults::default_aggregate_functions()
.into_iter()
.for_each(|udaf| {
let existing_udaf = func_meta_manager.register_udaf(udaf.clone());
if let Ok(()) = existing_udaf {
debug!("Overwrote an existing UDAF: {}", udaf.name());
}
});
SessionStateDefaults::default_window_functions().into_iter().for_each(|udwf| {
let existing_udwf = func_meta_manager.register_udwf(udwf.clone());
if let Ok(()) = existing_udwf {
debug!("Overwrote an existing UDWF: {}", udwf.name());
}
});
func_meta_manager
}
}
impl FunctionMetadataManager for SimpleFunctionMetadataManager {
fn register_udf(&mut self, f: Arc<ScalarUDF>) -> QueryResult<()> {
self.scalar_functions.insert(f.inner().name().to_uppercase(), f);
Ok(())
}
fn register_udaf(&mut self, f: Arc<AggregateUDF>) -> QueryResult<()> {
self.aggregate_functions.insert(f.inner().name().to_uppercase(), f);
Ok(())
}
fn register_udwf(&mut self, f: Arc<WindowUDF>) -> QueryResult<()> {
self.window_functions.insert(f.inner().name().to_uppercase(), f);
Ok(())
}
fn udf(&self, name: &str) -> QueryResult<Arc<ScalarUDF>> {
let result = self.scalar_functions.get(&name.to_uppercase());
result
.cloned()
.ok_or_else(|| QueryError::FunctionExists { name: name.to_string() })
}
fn udaf(&self, name: &str) -> QueryResult<Arc<AggregateUDF>> {
let result = self.aggregate_functions.get(&name.to_uppercase());
result
.cloned()
.ok_or_else(|| QueryError::FunctionNotExists { name: name.to_string() })
}
fn udwf(&self, name: &str) -> QueryResult<Arc<WindowUDF>> {
let result = self.window_functions.get(&name.to_uppercase());
result
.cloned()
.ok_or_else(|| QueryError::FunctionNotExists { name: name.to_string() })
}
fn udfs(&self) -> Vec<String> {
self.scalar_functions.keys().cloned().collect()
}
fn udafs(&self) -> Vec<String> {
self.aggregate_functions.keys().cloned().collect()
}
fn udwfs(&self) -> Vec<String> {
self.window_functions.keys().cloned().collect()
}
}