common_query/logical_plan/
udaf.rs

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
// Copyright 2023 Greptime 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.

//! Udaf module contains functions and structs supporting user-defined aggregate functions.
//!
//! Modified from DataFusion.

use std::any::Any;
use std::fmt::{self, Debug, Formatter};
use std::sync::Arc;

use datafusion::arrow::datatypes::Field;
use datafusion_common::Result;
use datafusion_expr::function::{AccumulatorArgs, StateFieldsArgs};
use datafusion_expr::{
    Accumulator, AccumulatorFactoryFunction, AggregateUDF as DfAggregateUdf, AggregateUDFImpl,
};
use datatypes::arrow::datatypes::DataType as ArrowDataType;
use datatypes::data_type::DataType;

use crate::function::{
    to_df_return_type, AccumulatorFunctionImpl, ReturnTypeFunction, StateTypeFunction,
};
use crate::logical_plan::accumulator::DfAccumulatorAdaptor;
use crate::logical_plan::AggregateFunctionCreatorRef;
use crate::signature::Signature;

/// Logical representation of a user-defined aggregate function (UDAF)
/// A UDAF is different from a UDF in that it is stateful across batches.
#[derive(Clone)]
pub struct AggregateFunction {
    /// name
    pub name: String,
    /// signature
    pub signature: Signature,
    /// Return type
    pub return_type: ReturnTypeFunction,
    /// actual implementation
    pub accumulator: AccumulatorFunctionImpl,
    /// the accumulator's state's description as a function of the return type
    pub state_type: StateTypeFunction,
    /// the creator that creates aggregate functions
    creator: AggregateFunctionCreatorRef,
}

impl Debug for AggregateFunction {
    fn fmt(&self, f: &mut Formatter) -> fmt::Result {
        f.debug_struct("AggregateUDF")
            .field("name", &self.name)
            .field("signature", &self.signature)
            .field("fun", &"<FUNC>")
            .finish()
    }
}

impl PartialEq for AggregateFunction {
    fn eq(&self, other: &Self) -> bool {
        self.name == other.name && self.signature == other.signature
    }
}

impl AggregateFunction {
    /// Create a new AggregateUDF
    pub fn new(
        name: String,
        signature: Signature,
        return_type: ReturnTypeFunction,
        accumulator: AccumulatorFunctionImpl,
        state_type: StateTypeFunction,
        creator: AggregateFunctionCreatorRef,
    ) -> Self {
        Self {
            name,
            signature,
            return_type,
            accumulator,
            state_type,
            creator,
        }
    }
}

struct DfUdafAdapter {
    name: String,
    signature: datafusion_expr::Signature,
    return_type_func: datafusion_expr::ReturnTypeFunction,
    accumulator: AccumulatorFactoryFunction,
    creator: AggregateFunctionCreatorRef,
}

impl Debug for DfUdafAdapter {
    fn fmt(&self, f: &mut Formatter<'_>) -> fmt::Result {
        f.debug_struct("DfUdafAdapter")
            .field("name", &self.name)
            .field("signature", &self.signature)
            .finish()
    }
}

impl AggregateUDFImpl for DfUdafAdapter {
    fn as_any(&self) -> &dyn Any {
        self
    }

    fn name(&self) -> &str {
        &self.name
    }

    fn signature(&self) -> &datafusion_expr::Signature {
        &self.signature
    }

    fn return_type(&self, arg_types: &[ArrowDataType]) -> Result<ArrowDataType> {
        (self.return_type_func)(arg_types).map(|x| x.as_ref().clone())
    }

    fn accumulator(&self, acc_args: AccumulatorArgs) -> Result<Box<dyn Accumulator>> {
        (self.accumulator)(acc_args)
    }

    fn state_fields(&self, args: StateFieldsArgs) -> Result<Vec<Field>> {
        let state_types = self.creator.state_types()?;
        let fields = state_types
            .into_iter()
            .enumerate()
            .map(|(i, t)| {
                let name = format!("{}_{i}", args.name);
                Field::new(name, t.as_arrow_type(), true)
            })
            .collect::<Vec<_>>();
        Ok(fields)
    }
}

impl From<AggregateFunction> for DfAggregateUdf {
    fn from(udaf: AggregateFunction) -> Self {
        DfAggregateUdf::new_from_impl(DfUdafAdapter {
            name: udaf.name,
            signature: udaf.signature.into(),
            return_type_func: to_df_return_type(udaf.return_type),
            accumulator: to_df_accumulator_func(udaf.accumulator, udaf.creator.clone()),
            creator: udaf.creator,
        })
    }
}

fn to_df_accumulator_func(
    accumulator: AccumulatorFunctionImpl,
    creator: AggregateFunctionCreatorRef,
) -> AccumulatorFactoryFunction {
    Arc::new(move |_| {
        let accumulator = accumulator()?;
        let creator = creator.clone();
        Ok(Box::new(DfAccumulatorAdaptor::new(accumulator, creator)) as _)
    })
}