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Implement specialized group values for single Uft8/LargeUtf8/Binary/LargeBinary column #8827
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66e90e8
Implement GroupValuesBinary special case for for handling single colu…
alamb 61c0284
Avoid overflow checking
alamb 53e7274
avoid offsest validation
alamb 3e6422c
Update datafusion/physical-plan/src/aggregates/group_values/bytes.rs
alamb 0d31780
Merge remote-tracking branch 'apache/main' into alamb/specialized_gro…
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90 changes: 90 additions & 0 deletions
90
datafusion/physical-expr/src/aggregate/count_distinct/bytes.rs
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|---|---|---|
| @@ -0,0 +1,90 @@ | ||
| // 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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| //! [`BytesDistinctCountAccumulator`] for Utf8/LargeUtf8/Binary/LargeBinary values | ||
| use crate::binary_map::{ArrowBytesSet, OutputType}; | ||
| use arrow_array::{ArrayRef, OffsetSizeTrait}; | ||
| use datafusion_common::cast::as_list_array; | ||
| use datafusion_common::utils::array_into_list_array; | ||
| use datafusion_common::ScalarValue; | ||
| use datafusion_expr::Accumulator; | ||
| use std::fmt::Debug; | ||
| use std::sync::Arc; | ||
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| /// Specialized implementation of | ||
| /// `COUNT DISTINCT` for [`StringArray`] [`LargeStringArray`], | ||
| /// [`BinaryArray`] and [`LargeBinaryArray`]. | ||
| /// | ||
| /// [`StringArray`]: arrow::array::StringArray | ||
| /// [`LargeStringArray`]: arrow::array::LargeStringArray | ||
| /// [`BinaryArray`]: arrow::array::BinaryArray | ||
| /// [`LargeBinaryArray`]: arrow::array::LargeBinaryArray | ||
| #[derive(Debug)] | ||
| pub(super) struct BytesDistinctCountAccumulator<O: OffsetSizeTrait>(ArrowBytesSet<O>); | ||
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| impl<O: OffsetSizeTrait> BytesDistinctCountAccumulator<O> { | ||
| pub(super) fn new(output_type: OutputType) -> Self { | ||
| Self(ArrowBytesSet::new(output_type)) | ||
| } | ||
| } | ||
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| impl<O: OffsetSizeTrait> Accumulator for BytesDistinctCountAccumulator<O> { | ||
| fn state(&mut self) -> datafusion_common::Result<Vec<ScalarValue>> { | ||
| let set = self.0.take(); | ||
| let arr = set.into_state(); | ||
| let list = Arc::new(array_into_list_array(arr)); | ||
| Ok(vec![ScalarValue::List(list)]) | ||
| } | ||
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| fn update_batch(&mut self, values: &[ArrayRef]) -> datafusion_common::Result<()> { | ||
| if values.is_empty() { | ||
| return Ok(()); | ||
| } | ||
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| self.0.insert(&values[0]); | ||
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| Ok(()) | ||
| } | ||
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| fn merge_batch(&mut self, states: &[ArrayRef]) -> datafusion_common::Result<()> { | ||
| if states.is_empty() { | ||
| return Ok(()); | ||
| } | ||
| assert_eq!( | ||
| states.len(), | ||
| 1, | ||
| "count_distinct states must be single array" | ||
| ); | ||
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| let arr = as_list_array(&states[0])?; | ||
| arr.iter().try_for_each(|maybe_list| { | ||
| if let Some(list) = maybe_list { | ||
| self.0.insert(&list); | ||
| }; | ||
| Ok(()) | ||
| }) | ||
| } | ||
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| fn evaluate(&mut self) -> datafusion_common::Result<ScalarValue> { | ||
| Ok(ScalarValue::Int64(Some(self.0.non_null_len() as i64))) | ||
| } | ||
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| fn size(&self) -> usize { | ||
| std::mem::size_of_val(self) + self.0.size() | ||
| } | ||
| } | ||
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
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@@ -15,8 +15,8 @@ | |
| // specific language governing permissions and limitations | ||
| // under the License. | ||
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| mod bytes; | ||
| mod native; | ||
| mod strings; | ||
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| use std::any::Any; | ||
| use std::collections::HashSet; | ||
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@@ -37,11 +37,12 @@ use arrow_array::types::{ | |
| use datafusion_common::{Result, ScalarValue}; | ||
| use datafusion_expr::Accumulator; | ||
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| use crate::aggregate::count_distinct::bytes::BytesDistinctCountAccumulator; | ||
| use crate::aggregate::count_distinct::native::{ | ||
| FloatDistinctCountAccumulator, PrimitiveDistinctCountAccumulator, | ||
| }; | ||
| use crate::aggregate::count_distinct::strings::StringDistinctCountAccumulator; | ||
| use crate::aggregate::utils::down_cast_any_ref; | ||
| use crate::binary_map::OutputType; | ||
| use crate::expressions::format_state_name; | ||
| use crate::{AggregateExpr, PhysicalExpr}; | ||
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@@ -144,8 +145,16 @@ impl AggregateExpr for DistinctCount { | |
| Float32 => Box::new(FloatDistinctCountAccumulator::<Float32Type>::new()), | ||
| Float64 => Box::new(FloatDistinctCountAccumulator::<Float64Type>::new()), | ||
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| Utf8 => Box::new(StringDistinctCountAccumulator::<i32>::new()), | ||
| LargeUtf8 => Box::new(StringDistinctCountAccumulator::<i64>::new()), | ||
| Utf8 => Box::new(BytesDistinctCountAccumulator::<i32>::new(OutputType::Utf8)), | ||
| LargeUtf8 => { | ||
| Box::new(BytesDistinctCountAccumulator::<i64>::new(OutputType::Utf8)) | ||
| } | ||
| Binary => Box::new(BytesDistinctCountAccumulator::<i32>::new( | ||
|
Contributor
Author
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. here is the new support for COUNT DISTINCT on binary data |
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| OutputType::Binary, | ||
| )), | ||
| LargeBinary => Box::new(BytesDistinctCountAccumulator::<i64>::new( | ||
| OutputType::Binary, | ||
| )), | ||
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| _ => Box::new(DistinctCountAccumulator { | ||
| values: HashSet::default(), | ||
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@@ -175,7 +184,7 @@ impl PartialEq<dyn Any> for DistinctCount { | |
| /// General purpose distinct accumulator that works for any DataType by using | ||
| /// [`ScalarValue`]. Some types have specialized accumulators that are (much) | ||
| /// more efficient such as [`PrimitiveDistinctCountAccumulator`] and | ||
| /// [`StringDistinctCountAccumulator`] | ||
| /// [`BytesDistinctCountAccumulator`] | ||
| #[derive(Debug)] | ||
| struct DistinctCountAccumulator { | ||
| values: HashSet<ScalarValue, RandomState>, | ||
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This is a more general version of the string distinct count accumulator that also handles Binary and LargeBinary -- it uses the same underlying
ArrowBytesMapunder the covers