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statement error | ||
select p, percentile_cont(p) within group (order by x::float8) | ||
from generate_series(1,5) x, | ||
(values (0::float8),(0.1),(0.25),(0.4),(0.5),(0.6),(0.75),(0.9),(1)) v(p) | ||
group by p order by p; | ||
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statement error | ||
select percentile_cont(array[0,1,0.25,0.75,0.5,1,0.3,0.32,0.35,0.38,0.4]) within group (order by x) | ||
from generate_series(1,6) x; | ||
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statement error | ||
select percentile_disc(array[0.25,0.5,0.75]) within group (order by x) | ||
from unnest('{fred,jim,fred,jack,jill,fred,jill,jim,jim,sheila,jim,sheila}'::text[]) u(x); | ||
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statement error | ||
select pg_collation_for(percentile_disc(1) within group (order by x collate "POSIX")) | ||
from (values ('fred'),('jim')) v(x); | ||
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query RR | ||
select | ||
percentile_cont(0.5) within group (order by a), | ||
percentile_disc(0.5) within group (order by a) | ||
from (values(1::float8),(3),(5),(7)) t(a); | ||
---- | ||
4 3 | ||
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query RR | ||
select | ||
percentile_cont(0.25) within group (order by a), | ||
percentile_disc(0.5) within group (order by a) | ||
from (values(1::float8),(3),(5),(7)) t(a); | ||
---- | ||
2.5 3 |
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query I | ||
select abs.abs from abs(-1); | ||
---- | ||
1 | ||
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query I | ||
select alias.alias from abs(-1) alias; | ||
---- | ||
1 | ||
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query I | ||
select alias.col from abs(-1) alias(col); | ||
---- | ||
1 |
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Original file line number | Diff line number | Diff line change |
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// Copyright 2023 RisingWave Labs | ||
// | ||
// 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. | ||
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use risingwave_common::array::*; | ||
use risingwave_common::estimate_size::EstimateSize; | ||
use risingwave_common::types::*; | ||
use risingwave_expr_macro::build_aggregate; | ||
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use super::Aggregator; | ||
use crate::agg::AggCall; | ||
use crate::Result; | ||
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#[build_aggregate("mode(*) -> *")] | ||
fn build(agg: AggCall) -> Result<Box<dyn Aggregator>> { | ||
Ok(Box::new(Mode::new(agg.return_type))) | ||
} | ||
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/// Computes the mode, the most frequent value of the aggregated argument (arbitrarily choosing the | ||
/// first one if there are multiple equally-frequent values). The aggregated argument must be of a | ||
/// sortable type. | ||
/// | ||
/// ```slt | ||
/// query I | ||
/// select mode() within group (order by unnest) from unnest(array[1]); | ||
/// ---- | ||
/// 1 | ||
/// | ||
/// query I | ||
/// select mode() within group (order by unnest) from unnest(array[1,2,2,3,3,4,4,4]); | ||
/// ---- | ||
/// 4 | ||
/// | ||
/// query R | ||
/// select mode() within group (order by unnest) from unnest(array[0.1,0.2,0.2,0.4,0.4,0.3,0.3,0.4]); | ||
/// ---- | ||
/// 0.4 | ||
/// | ||
/// query R | ||
/// select mode() within group (order by unnest) from unnest(array[1,2,2,3,3,4,4,4,3]); | ||
/// ---- | ||
/// 3 | ||
/// | ||
/// query T | ||
/// select mode() within group (order by unnest) from unnest(array['1','2','2','3','3','4','4','4','3']); | ||
/// ---- | ||
/// 3 | ||
/// | ||
/// query I | ||
/// select mode() within group (order by unnest) from unnest(array[]::int[]); | ||
/// ---- | ||
/// NULL | ||
/// ``` | ||
#[derive(Clone, EstimateSize)] | ||
pub struct Mode { | ||
return_type: DataType, | ||
cur_mode: Datum, | ||
cur_mode_freq: usize, | ||
cur_item: Datum, | ||
cur_item_freq: usize, | ||
} | ||
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impl Mode { | ||
pub fn new(return_type: DataType) -> Self { | ||
Self { | ||
return_type, | ||
cur_mode: None, | ||
cur_mode_freq: 0, | ||
cur_item: None, | ||
cur_item_freq: 0, | ||
} | ||
} | ||
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fn add_datum(&mut self, datum_ref: DatumRef<'_>) { | ||
let datum = datum_ref.to_owned_datum(); | ||
if datum.is_some() && self.cur_item == datum { | ||
self.cur_item_freq += 1; | ||
} else if datum.is_some() { | ||
self.cur_item = datum; | ||
self.cur_item_freq = 1; | ||
} | ||
if self.cur_item_freq > self.cur_mode_freq { | ||
self.cur_mode = self.cur_item.clone(); | ||
self.cur_mode_freq = self.cur_item_freq; | ||
} | ||
} | ||
} | ||
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#[async_trait::async_trait] | ||
impl Aggregator for Mode { | ||
fn return_type(&self) -> DataType { | ||
self.return_type.clone() | ||
} | ||
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async fn update_multi( | ||
&mut self, | ||
input: &DataChunk, | ||
start_row_id: usize, | ||
end_row_id: usize, | ||
) -> Result<()> { | ||
let array = input.column_at(0); | ||
for row_id in start_row_id..end_row_id { | ||
self.add_datum(array.value_at(row_id)); | ||
} | ||
Ok(()) | ||
} | ||
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fn output(&mut self, builder: &mut ArrayBuilderImpl) -> Result<()> { | ||
builder.append(self.cur_mode.clone()); | ||
Ok(()) | ||
} | ||
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fn estimated_size(&self) -> usize { | ||
EstimateSize::estimated_size(self) | ||
} | ||
} |
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