-
Notifications
You must be signed in to change notification settings - Fork 1.9k
feat: support Set Comparison Subquery #19109
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Changes from all commits
51d78a6
a555416
8f40a43
c1faa88
5d12582
02f19c2
38f0248
2b7a450
2e12048
07e23bd
c53451c
9a77e6f
bf60b20
275bd1f
File filter
Filter by extension
Conversations
Jump to
Diff view
Diff view
There are no files selected for viewing
Some generated files are not rendered by default. Learn more about how customized files appear on GitHub.
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,193 @@ | ||
| // Licensed to the Apache Software Foundation (ASF) under one | ||
| // or more contributor license agreements. See the NOTICE file | ||
| // distributed with this work for additional information | ||
| // regarding copyright ownership. The ASF licenses this file | ||
| // to you under the Apache License, Version 2.0 (the | ||
| // "License"); you may not use this file except in compliance | ||
| // with the License. You may obtain a copy of the License at | ||
| // | ||
| // http://www.apache.org/licenses/LICENSE-2.0 | ||
| // | ||
| // Unless required by applicable law or agreed to in writing, | ||
| // software distributed under the License is distributed on an | ||
| // "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY | ||
| // KIND, either express or implied. See the License for the | ||
| // specific language governing permissions and limitations | ||
| // under the License. | ||
|
|
||
| use std::sync::Arc; | ||
|
|
||
| use arrow::array::{Int32Array, StringArray}; | ||
| use arrow::datatypes::{DataType, Field, Schema}; | ||
| use arrow::record_batch::RecordBatch; | ||
| use datafusion::prelude::SessionContext; | ||
| use datafusion_common::{Result, assert_batches_eq, assert_contains}; | ||
|
|
||
| fn build_table(values: &[i32]) -> Result<RecordBatch> { | ||
| let schema = Arc::new(Schema::new(vec![Field::new("v", DataType::Int32, true)])); | ||
| let array = | ||
| Arc::new(Int32Array::from(values.to_vec())) as Arc<dyn arrow::array::Array>; | ||
| RecordBatch::try_new(schema, vec![array]).map_err(Into::into) | ||
| } | ||
|
|
||
| #[tokio::test] | ||
| async fn set_comparison_any() -> Result<()> { | ||
| let ctx = SessionContext::new(); | ||
|
|
||
| ctx.register_batch("t", build_table(&[1, 6, 10])?)?; | ||
| // Include a NULL in the subquery input to ensure we propagate UNKNOWN correctly. | ||
| ctx.register_batch("s", { | ||
| let schema = Arc::new(Schema::new(vec![Field::new("v", DataType::Int32, true)])); | ||
| let array = Arc::new(Int32Array::from(vec![Some(5), None])) | ||
| as Arc<dyn arrow::array::Array>; | ||
| RecordBatch::try_new(schema, vec![array])? | ||
| })?; | ||
|
|
||
| let df = ctx | ||
| .sql("select v from t where v > any(select v from s)") | ||
| .await?; | ||
| let results = df.collect().await?; | ||
|
|
||
| assert_batches_eq!( | ||
| &["+----+", "| v |", "+----+", "| 6 |", "| 10 |", "+----+",], | ||
| &results | ||
| ); | ||
| Ok(()) | ||
| } | ||
|
|
||
| #[tokio::test] | ||
| async fn set_comparison_any_aggregate_subquery() -> Result<()> { | ||
| let ctx = SessionContext::new(); | ||
|
|
||
| ctx.register_batch("t", build_table(&[1, 7])?)?; | ||
| ctx.register_batch("s", build_table(&[1, 2, 3])?)?; | ||
|
|
||
| let df = ctx | ||
| .sql( | ||
| "select v from t where v > any(select sum(v) from s group by v % 2) order by v", | ||
| ) | ||
| .await?; | ||
| let results = df.collect().await?; | ||
|
|
||
| assert_batches_eq!(&["+---+", "| v |", "+---+", "| 7 |", "+---+",], &results); | ||
| Ok(()) | ||
| } | ||
|
|
||
| #[tokio::test] | ||
| async fn set_comparison_all_empty() -> Result<()> { | ||
| let ctx = SessionContext::new(); | ||
|
|
||
| ctx.register_batch("t", build_table(&[1, 6, 10])?)?; | ||
| ctx.register_batch( | ||
| "e", | ||
| RecordBatch::new_empty(Arc::new(Schema::new(vec![Field::new( | ||
| "v", | ||
| DataType::Int32, | ||
| true, | ||
| )]))), | ||
| )?; | ||
|
|
||
| let df = ctx | ||
| .sql("select v from t where v < all(select v from e)") | ||
|
Contributor
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. I think tests for:
Member
Author
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more.
Contributor
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. @waynexia
Member
Author
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Hi @kosiew, CI is all green now, please take another look, thank you! |
||
| .await?; | ||
| let results = df.collect().await?; | ||
|
|
||
| assert_batches_eq!( | ||
| &[ | ||
| "+----+", "| v |", "+----+", "| 1 |", "| 6 |", "| 10 |", "+----+", | ||
| ], | ||
| &results | ||
| ); | ||
| Ok(()) | ||
| } | ||
|
|
||
| #[tokio::test] | ||
| async fn set_comparison_type_mismatch() -> Result<()> { | ||
| let ctx = SessionContext::new(); | ||
|
|
||
| ctx.register_batch("t", build_table(&[1])?)?; | ||
| ctx.register_batch("strings", { | ||
| let schema = Arc::new(Schema::new(vec![Field::new("s", DataType::Utf8, true)])); | ||
| let array = Arc::new(StringArray::from(vec![Some("a"), Some("b")])) | ||
| as Arc<dyn arrow::array::Array>; | ||
| RecordBatch::try_new(schema, vec![array])? | ||
| })?; | ||
|
|
||
| let df = ctx | ||
| .sql("select v from t where v > any(select s from strings)") | ||
| .await?; | ||
| let err = df.collect().await.unwrap_err(); | ||
| assert_contains!( | ||
| err.to_string(), | ||
| "expr type Int32 can't cast to Utf8 in SetComparison" | ||
| ); | ||
| Ok(()) | ||
| } | ||
|
|
||
| #[tokio::test] | ||
| async fn set_comparison_multiple_operators() -> Result<()> { | ||
| let ctx = SessionContext::new(); | ||
|
|
||
| ctx.register_batch("t", build_table(&[1, 2, 3, 4])?)?; | ||
| ctx.register_batch("s", build_table(&[2, 3])?)?; | ||
|
|
||
| let df = ctx | ||
| .sql("select v from t where v = any(select v from s) order by v") | ||
| .await?; | ||
| let results = df.collect().await?; | ||
| assert_batches_eq!( | ||
| &["+---+", "| v |", "+---+", "| 2 |", "| 3 |", "+---+",], | ||
| &results | ||
| ); | ||
|
|
||
| let df = ctx | ||
| .sql("select v from t where v != all(select v from s) order by v") | ||
| .await?; | ||
| let results = df.collect().await?; | ||
| assert_batches_eq!( | ||
| &["+---+", "| v |", "+---+", "| 1 |", "| 4 |", "+---+",], | ||
| &results | ||
| ); | ||
|
|
||
| let df = ctx | ||
| .sql("select v from t where v >= all(select v from s) order by v") | ||
| .await?; | ||
| let results = df.collect().await?; | ||
| assert_batches_eq!( | ||
| &["+---+", "| v |", "+---+", "| 3 |", "| 4 |", "+---+",], | ||
| &results | ||
| ); | ||
|
|
||
| let df = ctx | ||
| .sql("select v from t where v <= any(select v from s) order by v") | ||
| .await?; | ||
| let results = df.collect().await?; | ||
| assert_batches_eq!( | ||
| &[ | ||
| "+---+", "| v |", "+---+", "| 1 |", "| 2 |", "| 3 |", "+---+", | ||
| ], | ||
| &results | ||
| ); | ||
| Ok(()) | ||
| } | ||
|
|
||
| #[tokio::test] | ||
| async fn set_comparison_null_semantics_all() -> Result<()> { | ||
| let ctx = SessionContext::new(); | ||
|
|
||
| ctx.register_batch("t", build_table(&[5])?)?; | ||
| ctx.register_batch("s", { | ||
| let schema = Arc::new(Schema::new(vec![Field::new("v", DataType::Int32, true)])); | ||
| let array = Arc::new(Int32Array::from(vec![Some(1), None])) | ||
| as Arc<dyn arrow::array::Array>; | ||
| RecordBatch::try_new(schema, vec![array])? | ||
| })?; | ||
|
|
||
| let df = ctx | ||
| .sql("select v from t where v != all(select v from s)") | ||
| .await?; | ||
| let results = df.collect().await?; | ||
| let row_count: usize = results.iter().map(|batch| batch.num_rows()).sum(); | ||
| assert_eq!(0, row_count); | ||
| Ok(()) | ||
| } | ||
| Original file line number | Diff line number | Diff line change |
|---|---|---|
|
|
@@ -47,6 +47,7 @@ use datafusion_physical_plan::ExecutionPlanProperties; | |
| use datafusion_sql::unparser::Unparser; | ||
| use datafusion_sql::unparser::dialect::DefaultDialect; | ||
| use itertools::Itertools; | ||
| use recursive::{set_minimum_stack_size, set_stack_allocation_size}; | ||
|
|
||
| /// Paths to benchmark query files (supports running from repo root or different working directories). | ||
| const BENCHMARK_PATHS: &[&str] = &["../../benchmarks/", "./benchmarks/"]; | ||
|
|
@@ -458,5 +459,8 @@ async fn test_clickbench_unparser_roundtrip() { | |
|
|
||
| #[tokio::test] | ||
| async fn test_tpch_unparser_roundtrip() { | ||
| // Grow stacker segments earlier to avoid deep unparser recursion overflow in q20. | ||
| set_minimum_stack_size(512 * 1024); | ||
| set_stack_allocation_size(8 * 1024 * 1024); | ||
|
Comment on lines
+462
to
+464
Member
Author
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. This case got stack overflow after I rebased against the latest main branch, and this is a workaround. I'm thinking of rewriting unparser to avoid deep nested recursion, to some iterative flavor in the follow-up PR.
Contributor
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Let's create an issue to track this.
Member
Author
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. created #19787 |
||
| run_roundtrip_tests("TPC-H", tpch_queries(), tpch_test_context).await; | ||
| } | ||
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
how about adding
too?