notfilippo commented on code in PR #17478:
URL: https://github.com/apache/datafusion/pull/17478#discussion_r2337917957
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datafusion/substrait/tests/cases/consumer_integration.rs:
##########
@@ -605,26 +605,30 @@ mod tests {
#[tokio::test]
async fn test_multiple_joins() -> Result<()> {
let plan_str = test_plan_to_string("multiple_joins.json").await?;
- assert_eq!(
+ assert_snapshot!(
plan_str,
- "Projection: left.count(Int64(1)) AS count_first, left.category,
left.count(Int64(1)):1 AS count_second, right.count(Int64(1)) AS count_third\
- \n Left Join: left.id = right.id\
- \n SubqueryAlias: left\
- \n Left Join: left.id = right.id\
- \n SubqueryAlias: left\
- \n Left Join: left.id = right.id\
- \n SubqueryAlias: left\
- \n Aggregate: groupBy=[[id]],
aggr=[[count(Int64(1))]]\
- \n Values: (Int64(1)), (Int64(2))\
- \n SubqueryAlias: right\
- \n Aggregate: groupBy=[[id, category]], aggr=[[]]\
- \n Values: (Int64(1), Utf8(\"info\")), (Int64(2),
Utf8(\"low\"))\
- \n SubqueryAlias: right\
- \n Aggregate: groupBy=[[id]], aggr=[[count(Int64(1))]]\
- \n Values: (Int64(1)), (Int64(2))\
- \n SubqueryAlias: right\
- \n Aggregate: groupBy=[[id]], aggr=[[count(Int64(1))]]\
- \n Values: (Int64(1)), (Int64(2))"
+ @r#"
+ Projection: left.count(Int64(1)) AS count_first, left.category,
left.count(Int64(1)):1 AS count_second, right.count(Int64(1)) AS count_third
+ Left Join: left.id = right.id
+ SubqueryAlias: left
+ Projection: left.id, left.count(Int64(1)), left.id:1,
left.category, right.id AS id:2, right.count(Int64(1)) AS count(Int64(1)):1
Review Comment:
I don't think this is an unnecessary projection as the aliases are needed
for the correct semantic representation of `left.count(Int64(1)):1` in the
final projection which actually refers to `right.count(Int64(1))` which gets
aliased to `left`.
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