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* refactor: unify function registry (Part 1) Signed-off-by: Zhenchi <zhongzc_arch@outlook.com> * refactor: simplify via register_scalar Signed-off-by: Zhenchi <zhongzc_arch@outlook.com> --------- Signed-off-by: Zhenchi <zhongzc_arch@outlook.com>
64 lines
1.8 KiB
Rust
64 lines
1.8 KiB
Rust
// Copyright 2023 Greptime Team
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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use std::sync::Arc;
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use datafusion_expr::ScalarUDF;
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use crate::function::{FunctionContext, FunctionRef};
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use crate::scalars::udf::create_udf;
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/// A factory for creating `ScalarUDF` that require a function context.
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#[derive(Clone)]
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pub struct ScalarFunctionFactory {
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name: String,
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factory: Arc<dyn Fn(FunctionContext) -> ScalarUDF + Send + Sync>,
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}
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impl ScalarFunctionFactory {
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/// Returns the name of the function.
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pub fn name(&self) -> &str {
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&self.name
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}
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/// Returns a `ScalarUDF` when given a function context.
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pub fn provide(&self, ctx: FunctionContext) -> ScalarUDF {
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(self.factory)(ctx)
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}
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}
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impl From<ScalarUDF> for ScalarFunctionFactory {
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fn from(df_udf: ScalarUDF) -> Self {
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let name = df_udf.name().to_string();
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let func = Arc::new(move |_ctx| df_udf.clone());
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Self {
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name,
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factory: func,
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}
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}
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}
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impl From<FunctionRef> for ScalarFunctionFactory {
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fn from(func: FunctionRef) -> Self {
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let name = func.name().to_string();
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let func = Arc::new(move |ctx: FunctionContext| {
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create_udf(func.clone(), ctx.query_ctx, ctx.state)
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});
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Self {
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name,
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factory: func,
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}
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}
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}
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