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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.
//! Array Functions for [DataFusion].
//!
//! This crate contains a collection of array functions implemented using the
//! extension API.
//!
//! [DataFusion]: https://crates.io/crates/datafusion
//!
//! You can register the functions in this crate using the [`register_all`] function.
//!
#[macro_use]
pub mod macros;
mod kernels;
mod udf;
use datafusion_common::Result;
use datafusion_execution::FunctionRegistry;
use datafusion_expr::ScalarUDF;
use log::debug;
use std::sync::Arc;
/// Fluent-style API for creating `Expr`s
pub mod expr_fn {
pub use super::udf::array_to_string;
}
/// Registers all enabled packages with a [`FunctionRegistry`]
pub fn register_all(registry: &mut dyn FunctionRegistry) -> Result<()> {
let functions: Vec<Arc<ScalarUDF>> = vec![udf::array_to_string_udf()];
functions.into_iter().try_for_each(|udf| {
let existing_udf = registry.register_udf(udf)?;
if let Some(existing_udf) = existing_udf {
debug!("Overwrite existing UDF: {}", existing_udf.name());
}
Ok(()) as Result<()>
})?;
Ok(())
}