findepi commented on code in PR #16625:
URL: https://github.com/apache/datafusion/pull/16625#discussion_r2176664752
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datafusion/sqllogictest/test_files/aggregate.slt:
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@@ -232,9 +282,8 @@ physical_plan
01)AggregateExec: mode=Final, gby=[], aggr=[array_agg(agg_order.c1) ORDER BY
[agg_order.c2 DESC NULLS FIRST, agg_order.c3 ASC NULLS LAST]]
02)--CoalescePartitionsExec
03)----AggregateExec: mode=Partial, gby=[], aggr=[array_agg(agg_order.c1)
ORDER BY [agg_order.c2 DESC NULLS FIRST, agg_order.c3 ASC NULLS LAST]]
-04)------SortExec: expr=[c2@1 DESC, c3@2 ASC NULLS LAST],
preserve_partitioning=[true]
-05)--------RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1
-06)----------DataSourceExec: file_groups={1 group:
[[WORKSPACE_ROOT/datafusion/core/tests/data/aggregate_agg_multi_order.csv]]},
projection=[c1, c2, c3], file_type=csv, has_header=true
+04)------RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1
Review Comment:
for global aggregation -- agreed. but then, a global array_agg aggregation
cannot feasible operate on large amounts of data, can it? (or rather: it can,
but that's unlikely a common scenario)
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