jorgecarleitao commented on a change in pull request #8709:
URL: https://github.com/apache/arrow/pull/8709#discussion_r526892568
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File path: rust/datafusion/src/physical_plan/mod.rs
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@@ -89,6 +89,8 @@ pub trait ExecutionPlan: Debug + Send + Sync {
pub enum Partitioning {
/// Unknown partitioning scheme
UnknownPartitioning(usize),
+ /// parts hashed by columns and `N` partitions
+ HashPartitioning(Vec<String>, usize),
Review comment:
You are right, I was working on the repartition and join at the same
time at some point, and this slipped through the cracks.
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File path: rust/datafusion/src/physical_plan/hash_join.rs
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@@ -0,0 +1,467 @@
+// 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.
+
+//! Defines the join plan for executing partitions in parallel and then
joining the results
+//! into a set of partitions.
+
+use std::sync::Arc;
+use std::{
+ any::Any,
+ collections::{HashMap, HashSet},
+};
+
+use async_trait::async_trait;
+use futures::{Stream, StreamExt, TryStreamExt};
+
+use arrow::array::{make_array, Array, MutableArrayData};
+use arrow::datatypes::{Schema, SchemaRef};
+use arrow::error::Result as ArrowResult;
+use arrow::record_batch::RecordBatch;
+
+use super::hash_utils::{build_join_schema, check_join_is_valid, JoinHow};
+use super::{expressions::col, hash_aggregate::create_key};
+use crate::error::{DataFusionError, Result};
+
+use super::{
+ group_scalar::GroupByScalar, ExecutionPlan, Partitioning,
RecordBatchStream,
+ SendableRecordBatchStream,
+};
+
+// An index of (batch, row) uniquely identifying a row in a part.
+type Index = (usize, usize);
+// None represents a null (e.g. in case of a left join, some right indices are
null)
+type JoinIndex = (usize, usize);
+// A mapping "on" value -> list of row indexes with this key's value
+// E.g. [1, 2] -> [(0, 3), (1, 6), (0, 8)] indicates that (column1, column2) =
[1, 2] is true
+// for rows 3 and 8 from batch 0 and row 6 from batch 1.
+type JoinHashMap = HashMap<Vec<GroupByScalar>, Vec<Index>>;
+type JoinLeftData = (JoinHashMap, Vec<RecordBatch>);
+
+/// join execution plan executes partitions in parallel and combines them into
a set of
+/// partitions.
+#[derive(Debug)]
+pub struct HashJoinExec {
+ /// left side
+ left: Arc<dyn ExecutionPlan>,
+ /// right side
+ right: Arc<dyn ExecutionPlan>,
+ /// Set of common columns used to join on
+ on: HashSet<String>,
Review comment:
Agreed. I will have this fixed: I do not see any technical challenge
here (apart from the schema changes).
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