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fix(core): disable SingleDistinctToGroupBy for distinct aggregation unparsing #985

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Dec 16, 2024
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4 changes: 2 additions & 2 deletions wren-core/core/src/mdl/context.rs
Original file line number Diff line number Diff line change
Expand Up @@ -36,7 +36,6 @@ use datafusion::optimizer::filter_null_join_keys::FilterNullJoinKeys;
use datafusion::optimizer::propagate_empty_relation::PropagateEmptyRelation;
use datafusion::optimizer::replace_distinct_aggregate::ReplaceDistinctWithAggregate;
use datafusion::optimizer::scalar_subquery_to_join::ScalarSubqueryToJoin;
use datafusion::optimizer::single_distinct_to_groupby::SingleDistinctToGroupBy;
use datafusion::optimizer::unwrap_cast_in_comparison::UnwrapCastInComparison;
use datafusion::optimizer::{AnalyzerRule, OptimizerRule};
use datafusion::physical_plan::ExecutionPlan;
Expand Down Expand Up @@ -181,7 +180,8 @@ fn optimize_rule_for_unparsing() -> Vec<Arc<dyn OptimizerRule + Send + Sync>> {
// Arc::new(PushDownLimit::new()),
// Disable PushDownFilter to avoid the casting for bigquery (datetime/timestamp) column be removed
// Arc::new(PushDownFilter::new()),
Arc::new(SingleDistinctToGroupBy::new()),
// Disable SingleDistinctToGroupBy to avoid generate invalid aggregation plan
// Arc::new(SingleDistinctToGroupBy::new()),
// Disable SimplifyExpressions to avoid apply some function locally
// Arc::new(SimplifyExpressions::new()),
Arc::new(UnwrapCastInComparison::new()),
Expand Down
27 changes: 27 additions & 0 deletions wren-core/core/src/mdl/mod.rs
Original file line number Diff line number Diff line change
Expand Up @@ -1308,6 +1308,33 @@ mod test {
Ok(())
}

#[tokio::test]
async fn test_disable_single_distinct_to_group_by() -> Result<()> {
let ctx = SessionContext::new();
let manifest = ManifestBuilder::new()
.catalog("wren")
.schema("test")
.model(
ModelBuilder::new("customer")
.table_reference("customer")
.column(ColumnBuilder::new("c_custkey", "int").build())
.column(ColumnBuilder::new("c_name", "string").build())
.build(),
)
.build();
let sql = r#"SELECT c_custkey, count(distinct c_name) FROM customer GROUP BY c_custkey"#;
let analyzed_mdl = Arc::new(AnalyzedWrenMDL::analyze(manifest)?);
let result =
transform_sql_with_ctx(&ctx, Arc::clone(&analyzed_mdl), &[], sql).await?;
assert_eq!(
result,
"SELECT customer.c_custkey, count(DISTINCT customer.c_name) FROM (SELECT customer.c_custkey, customer.c_name \
FROM (SELECT customer.c_custkey AS c_custkey, customer.c_name AS c_name \
FROM customer) AS customer) AS customer GROUP BY customer.c_custkey"
);
Ok(())
}

/// Return a RecordBatch with made up data about customer
fn customer() -> RecordBatch {
let custkey: ArrayRef = Arc::new(Int64Array::from(vec![1, 2, 3]));
Expand Down
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