[BUG][Spark] DeltaTable.vacuum() does not return metrics as DataFrame

[stevenayers-bge]

Bug

Which Delta project/connector is this regarding?

• Spark

Describe the problem

Operations such as optimize return a DataFrame with the operation's metrics; however, vacuum() returns an empty DataFrame.

Steps to reproduce

from delta import DeltaTable
from pyspark.sql import SparkSession

spark = SparkSession.builder.getOrCreate()
my_table = DeltaTable.forName(spark, "my_schema.my_table")
df = my_table.vacuum()
assert df.isEmpty()

Environment information

• Delta Lake version: 3.2.0
• Spark version: 3.5.2
• Scala version:

Willingness to contribute

The Delta Lake Community encourages bug fix contributions. Would you or another member of your organization be willing to contribute a fix for this bug to the Delta Lake code base?

• Yes. I can contribute a fix for this bug independently.