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new 0417e543e1 Minor: Update exected output due to logical conflict
(#11824)
0417e543e1 is described below
commit 0417e543e1b0de61f9eb48c9c1dd4af943faa394
Author: Andrew Lamb <[email protected]>
AuthorDate: Mon Aug 5 12:00:58 2024 -0400
Minor: Update exected output due to logical conflict (#11824)
---
datafusion/sqllogictest/test_files/aggregate.slt | 14 +++++++-------
1 file changed, 7 insertions(+), 7 deletions(-)
diff --git a/datafusion/sqllogictest/test_files/aggregate.slt
b/datafusion/sqllogictest/test_files/aggregate.slt
index 9625f02afb..8a52221433 100644
--- a/datafusion/sqllogictest/test_files/aggregate.slt
+++ b/datafusion/sqllogictest/test_files/aggregate.slt
@@ -4530,21 +4530,21 @@ EXPLAIN SELECT DISTINCT c3, min(c1) FROM
aggregate_test_100 group by c3 limit 5;
----
logical_plan
01)Limit: skip=0, fetch=5
-02)--Aggregate: groupBy=[[aggregate_test_100.c3, MIN(aggregate_test_100.c1)]],
aggr=[[]]
-03)----Aggregate: groupBy=[[aggregate_test_100.c3]],
aggr=[[MIN(aggregate_test_100.c1)]]
+02)--Aggregate: groupBy=[[aggregate_test_100.c3, min(aggregate_test_100.c1)]],
aggr=[[]]
+03)----Aggregate: groupBy=[[aggregate_test_100.c3]],
aggr=[[min(aggregate_test_100.c1)]]
04)------TableScan: aggregate_test_100 projection=[c1, c3]
physical_plan
01)GlobalLimitExec: skip=0, fetch=5
02)--CoalescePartitionsExec
03)----LocalLimitExec: fetch=5
-04)------AggregateExec: mode=FinalPartitioned, gby=[c3@0 as c3,
MIN(aggregate_test_100.c1)@1 as MIN(aggregate_test_100.c1)], aggr=[], lim=[5]
+04)------AggregateExec: mode=FinalPartitioned, gby=[c3@0 as c3,
min(aggregate_test_100.c1)@1 as min(aggregate_test_100.c1)], aggr=[], lim=[5]
05)--------CoalesceBatchesExec: target_batch_size=8192
-06)----------RepartitionExec: partitioning=Hash([c3@0,
MIN(aggregate_test_100.c1)@1], 4), input_partitions=4
-07)------------AggregateExec: mode=Partial, gby=[c3@0 as c3,
MIN(aggregate_test_100.c1)@1 as MIN(aggregate_test_100.c1)], aggr=[], lim=[5]
-08)--------------AggregateExec: mode=FinalPartitioned, gby=[c3@0 as c3],
aggr=[MIN(aggregate_test_100.c1)]
+06)----------RepartitionExec: partitioning=Hash([c3@0,
min(aggregate_test_100.c1)@1], 4), input_partitions=4
+07)------------AggregateExec: mode=Partial, gby=[c3@0 as c3,
min(aggregate_test_100.c1)@1 as min(aggregate_test_100.c1)], aggr=[], lim=[5]
+08)--------------AggregateExec: mode=FinalPartitioned, gby=[c3@0 as c3],
aggr=[min(aggregate_test_100.c1)]
09)----------------CoalesceBatchesExec: target_batch_size=8192
10)------------------RepartitionExec: partitioning=Hash([c3@0], 4),
input_partitions=4
-11)--------------------AggregateExec: mode=Partial, gby=[c3@1 as c3],
aggr=[MIN(aggregate_test_100.c1)]
+11)--------------------AggregateExec: mode=Partial, gby=[c3@1 as c3],
aggr=[min(aggregate_test_100.c1)]
12)----------------------RepartitionExec: partitioning=RoundRobinBatch(4),
input_partitions=1
13)------------------------CsvExec: file_groups={1 group:
[[WORKSPACE_ROOT/testing/data/csv/aggregate_test_100.csv]]}, projection=[c1,
c3], has_header=true
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