jiangzhx commented on code in PR #6675: URL: https://github.com/apache/arrow-datafusion/pull/6675#discussion_r1231162724
########## datafusion/core/tests/sql/subqueries.rs: ########## @@ -21,91 +21,6 @@ use datafusion::assert_batches_eq; use datafusion::prelude::SessionContext; use log::debug; -#[tokio::test] -async fn non_aggregated_correlated_scalar_subquery_with_single_row() -> Result<()> { - let ctx = create_join_context("t1_id", "t2_id", true)?; - - let sql = "SELECT t1_id, (SELECT t2_int FROM t2 WHERE t2.t2_int = t1.t1_int limit 1) as t2_int from t1"; - let msg = format!("Creating logical plan for '{sql}'"); - let dataframe = ctx.sql(sql).await.expect(&msg); - let plan = dataframe.into_optimized_plan()?; - - let expected = vec![ - "Projection: t1.t1_id, (<subquery>) AS t2_int [t1_id:UInt32;N, t2_int:UInt32;N]", - " Subquery: [t2_int:UInt32;N]", - " Limit: skip=0, fetch=1 [t2_int:UInt32;N]", - " Projection: t2.t2_int [t2_int:UInt32;N]", - " Filter: t2.t2_int = outer_ref(t1.t1_int) [t2_id:UInt32;N, t2_name:Utf8;N, t2_int:UInt32;N]", - " TableScan: t2 [t2_id:UInt32;N, t2_name:Utf8;N, t2_int:UInt32;N]", - " TableScan: t1 projection=[t1_id] [t1_id:UInt32;N]", - ]; - let formatted = plan.display_indent_schema().to_string(); - let actual: Vec<&str> = formatted.trim().lines().collect(); - assert_eq!( - expected, actual, - "\n\nexpected:\n\n{expected:#?}\nactual:\n\n{actual:#?}\n\n" - ); - - let sql = "SELECT t1_id from t1 where t1_int = (SELECT t2_int FROM t2 WHERE t2.t2_int = t1.t1_int limit 1)"; - let msg = format!("Creating logical plan for '{sql}'"); - let dataframe = ctx.sql(sql).await.expect(&msg); - let plan = dataframe.into_optimized_plan()?; - - let expected = vec![ - "Projection: t1.t1_id [t1_id:UInt32;N]", - " Filter: t1.t1_int = (<subquery>) [t1_id:UInt32;N, t1_int:UInt32;N]", - " Subquery: [t2_int:UInt32;N]", - " Limit: skip=0, fetch=1 [t2_int:UInt32;N]", - " Projection: t2.t2_int [t2_int:UInt32;N]", - " Filter: t2.t2_int = outer_ref(t1.t1_int) [t2_id:UInt32;N, t2_name:Utf8;N, t2_int:UInt32;N]", - " TableScan: t2 [t2_id:UInt32;N, t2_name:Utf8;N, t2_int:UInt32;N]", - " TableScan: t1 projection=[t1_id, t1_int] [t1_id:UInt32;N, t1_int:UInt32;N]", - ]; - let formatted = plan.display_indent_schema().to_string(); - let actual: Vec<&str> = formatted.trim().lines().collect(); - assert_eq!( - expected, actual, - "\n\nexpected:\n\n{expected:#?}\nactual:\n\n{actual:#?}\n\n" - ); - - let sql = "SELECT t1_id, (SELECT a FROM (select 1 as a) WHERE a = t1.t1_int) as t2_int from t1"; - let msg = format!("Creating logical plan for '{sql}'"); - let dataframe = ctx.sql(sql).await.expect(&msg); - let plan = dataframe.into_optimized_plan()?; - - let expected = vec![ - "Projection: t1.t1_id, __scalar_sq_5.a AS t2_int [t1_id:UInt32;N, t2_int:Int64;N]", - " Left Join: CAST(t1.t1_int AS Int64) = __scalar_sq_5.a [t1_id:UInt32;N, t1_int:UInt32;N, a:Int64;N]", - " TableScan: t1 projection=[t1_id, t1_int] [t1_id:UInt32;N, t1_int:UInt32;N]", - " SubqueryAlias: __scalar_sq_5 [a:Int64]", - " Projection: Int64(1) AS a [a:Int64]", - " EmptyRelation []", - ]; - let formatted = plan.display_indent_schema().to_string(); - let actual: Vec<&str> = formatted.trim().lines().collect(); - assert_eq!( - expected, actual, - "\n\nexpected:\n\n{expected:#?}\nactual:\n\n{actual:#?}\n\n" - ); - - // TODO infer nullability in the schema has bug - // // assert data - // let results = execute_to_batches(&ctx, sql).await; - // let expected = vec![ - // "+-------+--------+", - // "| t1_id | t2_int |", - // "+-------+--------+", - // "| 22 | |", - // "| 33 | |", - // "| 11 | 1 |", - // "| 44 | |", - // "+-------+--------+", - // ]; - // assert_batches_eq!(expected, &results); Review Comment: Why was this test case commented out even though it's working correctly? @mingmwang, if you have time, could you please help me understand,i'm working on move rs to sqllogicatest -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: github-unsubscr...@arrow.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org