Merge pull request #117 from jayshrivastava/js/preserve-file-partitions

physical_optimizer: preserve_file_partitions when num file groups < target_partitions

Author: jayshrivastava

datafusion/physical-optimizer/src/enforce_distribution.rs

@@ -1295,8 +1295,14 @@ pub fn ensure_distribution(
                 })
             );
 
-            let allow_subset_satisfy_partitioning = current_partitions
+            let allow_subset_satisfy_partitioning = (current_partitions
                 >= subset_satisfaction_threshold
+                // `preserve_file_partitions` exposes existing file-group
+                // partitioning to the optimizer. Respect it when the only
+                // reason to repartition would be to increase partition count
+                // beyond the preserved file-group count.
+                || (config.optimizer.preserve_file_partitions > 0
+                    && current_partitions < target_partitions))
                 && !is_partitioned_join
                 && !requires_grouping_id;
 

datafusion/sqllogictest/test_files/preserve_file_partitioning.slt

@@ -704,6 +704,60 @@ A dev 772.4
 B prod 614.4
 C prod 2017.6
 
+##########
+# TEST 13: Partitioned Join where Number of File Groups is less than target_partitions
+# With preserve_file_partitions enabled, we should still avoid repartitioning
+##########
+
+statement ok
+set datafusion.execution.target_partitions = 4;
+
+statement ok
+set datafusion.optimizer.preserve_file_partitions = 1;
+
+query TT
+EXPLAIN SELECT f_dkey, timestamp,
+       COUNT(*), AVG(value)
+FROM fact_table
+GROUP BY f_dkey, timestamp;
+----
+logical_plan
+01)Projection: fact_table.f_dkey, fact_table.timestamp, count(Int64(1)) AS count(*), avg(fact_table.value)
+02)--Aggregate: groupBy=[[fact_table.f_dkey, fact_table.timestamp]], aggr=[[count(Int64(1)), avg(fact_table.value)]]
+03)----TableScan: fact_table projection=[timestamp, value, f_dkey]
+physical_plan
+01)ProjectionExec: expr=[f_dkey@0 as f_dkey, timestamp@1 as timestamp, count(Int64(1))@2 as count(*), avg(fact_table.value)@3 as avg(fact_table.value)]
+02)--AggregateExec: mode=SinglePartitioned, gby=[f_dkey@2 as f_dkey, timestamp@0 as timestamp], aggr=[count(Int64(1)), avg(fact_table.value)]
+03)----DataSourceExec: file_groups={3 groups: [[WORKSPACE_ROOT/datafusion/sqllogictest/test_files/scratch/preserve_file_partitioning/fact/f_dkey=A/data.parquet], [WORKSPACE_ROOT/datafusion/sqllogictest/test_files/scratch/preserve_file_partitioning/fact/f_dkey=B/data.parquet], [WORKSPACE_ROOT/datafusion/sqllogictest/test_files/scratch/preserve_file_partitioning/fact/f_dkey=C/data.parquet]]}, projection=[timestamp, value, f_dkey], file_type=parquet
+
+query TPIR rowsort
+SELECT f_dkey, timestamp,
+       COUNT(*), AVG(value)
+FROM fact_table
+GROUP BY f_dkey, timestamp;
+----
+A 2023-01-01T09:00:00 1 95.5
+A 2023-01-01T09:00:10 1 102.3
+A 2023-01-01T09:00:20 1 98.7
+A 2023-01-01T09:12:20 1 105.1
+A 2023-01-01T09:12:30 1 100
+A 2023-01-01T09:12:40 1 150
+A 2023-01-01T09:12:50 1 120.8
+B 2023-01-01T09:00:00 1 75.2
+B 2023-01-01T09:00:10 1 82.4
+B 2023-01-01T09:00:20 1 78.9
+B 2023-01-01T09:00:30 1 85.6
+B 2023-01-01T09:12:30 1 80
+B 2023-01-01T09:12:40 1 120
+B 2023-01-01T09:12:50 1 92.3
+C 2023-01-01T09:00:00 1 300.5
+C 2023-01-01T09:00:10 1 285.7
+C 2023-01-01T09:00:20 1 310.2
+C 2023-01-01T09:00:30 1 295.8
+C 2023-01-01T09:00:40 1 300
+C 2023-01-01T09:12:40 1 250
+C 2023-01-01T09:12:50 1 275.4
+
 ##########
 # CLEANUP
 ##########