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approx_median to UDAF (apache#10840)
* move tdigest to physical-expr-common * move approx_percentile_cont_accumulator to function-aggregate * implement approx_meidan udaf * remove approx_median aggregation function * fix sqllogictests * add removed type tests * cargo fmt and clippy * add logical roundtrip test * fix dataframe test * fix test and proto gen * update lock in datafusion-cli * fix typo * fix test and doc * fix sql_integration * cargo fmt * follow the checking style like other udaf * add comment and modified dependency * update lock and fmt * add missing test annotation
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,129 @@ | ||
| // 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. | ||
|
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| //! Defines physical expressions for APPROX_MEDIAN that can be evaluated MEDIAN at runtime during query execution | ||
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| use std::any::Any; | ||
| use std::fmt::Debug; | ||
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| use arrow::{datatypes::DataType, datatypes::Field}; | ||
| use arrow_schema::DataType::{Float64, UInt64}; | ||
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| use datafusion_common::{not_impl_err, plan_err, Result}; | ||
| use datafusion_expr::function::{AccumulatorArgs, StateFieldsArgs}; | ||
| use datafusion_expr::type_coercion::aggregates::NUMERICS; | ||
| use datafusion_expr::utils::format_state_name; | ||
| use datafusion_expr::{Accumulator, AggregateUDFImpl, Signature, Volatility}; | ||
| use datafusion_physical_expr_common::aggregate::utils::down_cast_any_ref; | ||
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| use crate::approx_percentile_cont::ApproxPercentileAccumulator; | ||
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| make_udaf_expr_and_func!( | ||
| ApproxMedian, | ||
| approx_median, | ||
| expression, | ||
| "Computes the approximate median of a set of numbers", | ||
| approx_median_udaf | ||
| ); | ||
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| /// APPROX_MEDIAN aggregate expression | ||
| pub struct ApproxMedian { | ||
| signature: Signature, | ||
| } | ||
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| impl Debug for ApproxMedian { | ||
| fn fmt(&self, f: &mut std::fmt::Formatter) -> std::fmt::Result { | ||
| f.debug_struct("ApproxMedian") | ||
| .field("name", &self.name()) | ||
| .field("signature", &self.signature) | ||
| .finish() | ||
| } | ||
| } | ||
|
|
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| impl Default for ApproxMedian { | ||
| fn default() -> Self { | ||
| Self::new() | ||
| } | ||
| } | ||
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| impl ApproxMedian { | ||
| /// Create a new APPROX_MEDIAN aggregate function | ||
| pub fn new() -> Self { | ||
| Self { | ||
| signature: Signature::uniform(1, NUMERICS.to_vec(), Volatility::Immutable), | ||
| } | ||
| } | ||
| } | ||
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| impl AggregateUDFImpl for ApproxMedian { | ||
| /// Return a reference to Any that can be used for downcasting | ||
| fn as_any(&self) -> &dyn Any { | ||
| self | ||
| } | ||
|
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| fn state_fields(&self, args: StateFieldsArgs) -> Result<Vec<Field>> { | ||
| Ok(vec![ | ||
| Field::new(format_state_name(args.name, "max_size"), UInt64, false), | ||
| Field::new(format_state_name(args.name, "sum"), Float64, false), | ||
| Field::new(format_state_name(args.name, "count"), Float64, false), | ||
| Field::new(format_state_name(args.name, "max"), Float64, false), | ||
| Field::new(format_state_name(args.name, "min"), Float64, false), | ||
| Field::new_list( | ||
| format_state_name(args.name, "centroids"), | ||
| Field::new("item", Float64, true), | ||
| false, | ||
| ), | ||
| ]) | ||
| } | ||
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| fn name(&self) -> &str { | ||
| "approx_median" | ||
| } | ||
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| fn signature(&self) -> &Signature { | ||
| &self.signature | ||
| } | ||
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| fn return_type(&self, arg_types: &[DataType]) -> Result<DataType> { | ||
| if !arg_types[0].is_numeric() { | ||
| return plan_err!("ApproxMedian requires numeric input types"); | ||
| } | ||
| Ok(arg_types[0].clone()) | ||
| } | ||
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| fn accumulator(&self, acc_args: AccumulatorArgs) -> Result<Box<dyn Accumulator>> { | ||
| if acc_args.is_distinct { | ||
| return not_impl_err!( | ||
| "APPROX_MEDIAN(DISTINCT) aggregations are not available" | ||
| ); | ||
| } | ||
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| Ok(Box::new(ApproxPercentileAccumulator::new( | ||
| 0.5_f64, | ||
| acc_args.input_type.clone(), | ||
| ))) | ||
| } | ||
| } | ||
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| impl PartialEq<dyn Any> for ApproxMedian { | ||
| fn eq(&self, other: &dyn Any) -> bool { | ||
| down_cast_any_ref(other) | ||
| .downcast_ref::<Self>() | ||
| .map(|x| self.signature == x.signature) | ||
| .unwrap_or(false) | ||
| } | ||
| } |
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