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datafusion/core/src/physical_optimizer/push_down_order_limit.rs
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// 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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//! CombinePartialFinalAggregate optimizer rule checks the adjacent Partial and Final AggregateExecs | ||
//! and try to combine them if necessary | ||
use itertools::Itertools; | ||
use std::sync::Arc; | ||
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use crate::error::Result; | ||
use crate::physical_optimizer::PhysicalOptimizerRule; | ||
use datafusion_common::config::ConfigOptions; | ||
use datafusion_common::tree_node::{Transformed, TreeNode}; | ||
use datafusion_physical_expr::expressions::Column; | ||
use datafusion_physical_expr::LexOrdering; | ||
use datafusion_physical_plan::aggregates::{AggregateExec, AggregateMode}; | ||
use datafusion_physical_plan::coalesce_batches::CoalesceBatchesExec; | ||
use datafusion_physical_plan::filter::FilterExec; | ||
use datafusion_physical_plan::repartition::RepartitionExec; | ||
use datafusion_physical_plan::sorts::sort::SortExec; | ||
use datafusion_physical_plan::ExecutionPlan; | ||
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#[derive(Default)] | ||
pub struct PushDownOderLimit {} | ||
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impl PushDownOderLimit { | ||
#[allow(missing_docs)] | ||
pub fn new() -> Self { | ||
Self {} | ||
} | ||
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fn transform_partial_agg( | ||
aggr: &AggregateExec, | ||
sort: &SortExec, | ||
) -> Option<Arc<dyn ExecutionPlan>> { | ||
// let (field, desc) = aggr.get_minmax_desc()?; | ||
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// let group_key = aggr.group_expr().expr().iter().exactly_one().ok()?; | ||
// let kt = group_key.0.data_type(&aggr.input().schema()).ok()?; | ||
// if !kt.is_primitive() && kt != DataType::Utf8 { | ||
// return None; | ||
// } | ||
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// if aggr.filter_expr().iter().any(|e| e.is_some()) { | ||
// return None; | ||
// } | ||
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// // ensure the sort is on the same field as the aggregate output | ||
// let col = order.expr.as_any().downcast_ref::<Column>()?; | ||
// if col.name() != field.name() { | ||
// return None; | ||
// } | ||
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// We found what we want: clone, copy the limit down, and return modified node | ||
let new_aggr = AggregateExec::try_new( | ||
*aggr.mode(), | ||
aggr.group_by().clone(), | ||
aggr.aggr_expr().to_vec(), | ||
aggr.filter_expr().to_vec(), | ||
aggr.input().clone(), | ||
aggr.input_schema(), | ||
) | ||
.expect("Unable to copy Aggregate!") | ||
.with_limit(sort.fetch()) | ||
.with_ordering(reorder(sort, aggr)); | ||
Some(Arc::new(new_aggr)) | ||
} | ||
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fn transform_sort_limit( | ||
plan: Arc<dyn ExecutionPlan>, | ||
) -> Option<Arc<dyn ExecutionPlan>> { | ||
let sort = plan.as_any().downcast_ref::<SortExec>()?; | ||
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let children = sort.children(); | ||
let child = children.iter().exactly_one().ok()?; | ||
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let is_cardinality_preserving = |plan: Arc<dyn ExecutionPlan>| { | ||
plan.as_any() | ||
.downcast_ref::<CoalesceBatchesExec>() | ||
.is_some() | ||
|| plan.as_any().downcast_ref::<RepartitionExec>().is_some() | ||
|| plan.as_any().downcast_ref::<FilterExec>().is_some() | ||
}; | ||
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let mut cardinality_preserved = true; | ||
let mut closure = |plan: Arc<dyn ExecutionPlan>| { | ||
if !cardinality_preserved { | ||
return Ok(Transformed::No(plan)); | ||
} | ||
if let Some(aggr) = plan.as_any().downcast_ref::<AggregateExec>() { | ||
if matches!(aggr.mode(), AggregateMode::Partial) | ||
&& can_push_down(aggr, sort) | ||
{ | ||
// either we run into an Aggregate and transform it | ||
match Self::transform_partial_agg(aggr, sort) { | ||
None => cardinality_preserved = false, | ||
Some(plan) => return Ok(Transformed::Yes(plan)), | ||
} | ||
} else { | ||
return Ok(Transformed::No(plan)); | ||
} | ||
} else { | ||
// or we continue down whitelisted nodes of other types | ||
if !is_cardinality_preserving(plan.clone()) { | ||
cardinality_preserved = false; | ||
} | ||
} | ||
Ok(Transformed::No(plan)) | ||
}; | ||
let child = child.clone().transform_down_mut(&mut closure).ok()?; | ||
let sort = SortExec::new(sort.expr().to_vec(), child) | ||
.with_fetch(sort.fetch()) | ||
.with_preserve_partitioning(sort.preserve_partitioning()); | ||
Some(Arc::new(sort)) | ||
} | ||
} | ||
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impl PhysicalOptimizerRule for PushDownOderLimit { | ||
fn optimize( | ||
&self, | ||
plan: Arc<dyn ExecutionPlan>, | ||
_config: &ConfigOptions, | ||
) -> Result<Arc<dyn ExecutionPlan>> { | ||
let plan = plan.transform_down(&|plan| { | ||
Ok( | ||
if let Some(plan) = | ||
PushDownOderLimit::transform_sort_limit(plan.clone()) | ||
{ | ||
Transformed::Yes(plan) | ||
} else { | ||
Transformed::No(plan) | ||
}, | ||
) | ||
})?; | ||
Ok(plan) | ||
} | ||
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fn name(&self) -> &str { | ||
"PushDownOderLimit" | ||
} | ||
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fn schema_check(&self) -> bool { | ||
true | ||
} | ||
} | ||
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fn reorder(sort: &SortExec, aggr: &AggregateExec) -> Option<LexOrdering> { | ||
let old = aggr | ||
.group_expr() | ||
.expr() | ||
.iter() | ||
.map(|(_, name)| name.as_str()) | ||
.collect::<Vec<_>>(); | ||
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let mut common_columns = Vec::new(); | ||
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sort.expr() | ||
.iter() | ||
.map(|expr| (expr.expr.as_any().downcast_ref::<Column>().unwrap(), expr)) | ||
.for_each(|(column, expr)| { | ||
if old.contains(&column.name()) { | ||
common_columns.push(expr.clone()); | ||
} | ||
}); | ||
Some(common_columns) | ||
} | ||
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fn can_push_down(aggr: &AggregateExec, sort: &SortExec) -> bool { | ||
let columns = aggr | ||
.group_expr() | ||
.expr() | ||
.iter() | ||
.map(|(_, name)| name.as_str()) | ||
.collect::<Vec<_>>(); | ||
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sort.expr() | ||
.iter() | ||
.filter(|expr| { | ||
if let Some(column) = expr.expr.as_any().downcast_ref::<Column>() { | ||
columns.contains(&column.name()) | ||
} else { | ||
false | ||
} | ||
}) | ||
.count() | ||
> 0 | ||
} |
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