Aliased aggregation expressions not visible in physical explain output

[pepijnve]

Describe the bug

When the an aggregation expression has been aliased the original expression is visible in the logical plan explain output. In the physical output only the alias is printed making it hard to interpret.

To Reproduce

Here's an example logic plan constructed using the data frame API. The problematic line is

AggregateExec: mode=Single, gby=[], aggr=[agg]

Logical plan
============
Aggregate: groupBy=[[]], aggr=[[sum(column1) FILTER (WHERE column2 <= Int64(0)) AS agg]]
  Values: (Int64(1), Int64(100)), (Int64(2), Int64(200)), (Int64(3), Int64(314))

Optimized logical plan
======================
Aggregate: groupBy=[[]], aggr=[[sum(column1) FILTER (WHERE column2 <= Int64(0)) AS agg]]
  Values: (Int64(1), Int64(100)), (Int64(2), Int64(200)), (Int64(3), Int64(314))

Physical plan
=============
AggregateExec: mode=Single, gby=[], aggr=[agg]
  DataSourceExec: partitions=1, partition_sizes=[1]

Expected behavior

Rather than

AggregateExec: mode=Single, gby=[], aggr=[agg]

the explain output should show something like

AggregateExec: mode=Single, gby=[], aggr=[sum(column1@0) FILTER (WHERE column2@1 <= Int64(0)) as agg]

Additional context

No response

[GaneshPatil7517]

take