// 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 arrow::datatypes::{DataType, Field, Schema};

use datafusion_common::{
    Column, DFSchema, DFSchemaRef, DataFusionError, Result, TableReference,
    assert_contains,
};
use datafusion_expr::expr::{WindowFunction, WindowFunctionParams};
use datafusion_expr::test::function_stub::{
    count_udaf, max, max_udaf, min_udaf, sum, sum_udaf,
};
use datafusion_expr::{
    ColumnarValue, EmptyRelation, Expr, Extension, LogicalPlan, LogicalPlanBuilder,
    ScalarFunctionArgs, ScalarUDF, ScalarUDFImpl, Signature, Union,
    UserDefinedLogicalNode, UserDefinedLogicalNodeCore, Volatility, WindowFrame,
    WindowFunctionDefinition, cast, col, exists, in_subquery, lit, scalar_subquery,
    table_scan, wildcard,
};
use datafusion_functions::unicode;
use datafusion_functions_aggregate::grouping::grouping_udaf;
use datafusion_functions_nested::make_array::make_array_udf;
use datafusion_functions_nested::map::map_udf;
use datafusion_functions_window::rank::rank_udwf;
use datafusion_functions_window::row_number::row_number_udwf;
use datafusion_sql::planner::{ContextProvider, PlannerContext, SqlToRel};
use datafusion_sql::unparser::dialect::{
    BigQueryDialect, CustomDialectBuilder, DefaultDialect as UnparserDefaultDialect,
    DefaultDialect, Dialect as UnparserDialect, MySqlDialect as UnparserMySqlDialect,
    PostgreSqlDialect as UnparserPostgreSqlDialect, SnowflakeDialect, SqliteDialect,
};
use datafusion_sql::unparser::{Unparser, expr_to_sql, plan_to_sql};
use insta::assert_snapshot;
use sqlparser::ast::Statement;
use std::hash::Hash;
use std::ops::Add;
use std::sync::Arc;
use std::{fmt, vec};

use crate::common::{MockContextProvider, MockSessionState};
use datafusion_expr::builder::{
    project, subquery_alias, table_scan_with_filter_and_fetch, table_scan_with_filters,
};
use datafusion_functions::core::planner::CoreFunctionPlanner;
use datafusion_functions::unicode::planner::UnicodeFunctionPlanner;
use datafusion_functions_nested::extract::array_element_udf;
use datafusion_functions_nested::planner::{FieldAccessPlanner, NestedFunctionPlanner};
use datafusion_sql::unparser::ast::{
    DerivedRelationBuilder, QueryBuilder, RelationBuilder, SelectBuilder,
};
use datafusion_sql::unparser::extension_unparser::{
    UnparseToStatementResult, UnparseWithinStatementResult,
    UserDefinedLogicalNodeUnparser,
};
use sqlparser::dialect::{Dialect, GenericDialect, MySqlDialect};
use sqlparser::parser::Parser;

#[test]
fn test_roundtrip_expr_1() {
    let expr = roundtrip_expr(TableReference::bare("person"), "age > 35").unwrap();
    assert_snapshot!(expr, @"(age > 35)");
}

#[test]
fn test_roundtrip_expr_2() {
    let expr = roundtrip_expr(TableReference::bare("person"), "id = '10'").unwrap();
    assert_snapshot!(expr, @"(id = '10')");
}

#[test]
fn test_roundtrip_expr_3() {
    let expr =
        roundtrip_expr(TableReference::bare("person"), "CAST(id AS VARCHAR)").unwrap();
    assert_snapshot!(expr, @"CAST(id AS VARCHAR)");
}

#[test]
fn test_roundtrip_expr_4() {
    let expr = roundtrip_expr(TableReference::bare("person"), "sum((age * 2))").unwrap();
    assert_snapshot!(expr, @"sum((age * 2))");
}

fn roundtrip_expr(table: TableReference, sql: &str) -> Result<String> {
    let dialect = GenericDialect {};
    let sql_expr = Parser::new(&dialect).try_with_sql(sql)?.parse_expr()?;
    let state = MockSessionState::default().with_aggregate_function(sum_udaf());
    let context = MockContextProvider { state };
    let schema = context.get_table_source(table)?.schema();
    let df_schema = DFSchema::try_from(schema)?;
    let sql_to_rel = SqlToRel::new(&context);
    let expr =
        sql_to_rel.sql_to_expr(sql_expr, &df_schema, &mut PlannerContext::new())?;

    let ast = expr_to_sql(&expr)?;

    Ok(ast.to_string())
}

#[test]
fn roundtrip_statement() -> Result<()> {
    let tests: Vec<&str> = vec![
            "select 1;",
            "select 1 limit 0;",
            "select ta.j1_id from j1 ta join (select 1 as j1_id) tb on ta.j1_id = tb.j1_id;",
            "select ta.j1_id from j1 ta join (select 1 as j1_id) tb using (j1_id);",
            "select ta.j1_id from j1 ta join (select 1 as j1_id) tb on ta.j1_id = tb.j1_id where ta.j1_id > 1;",
            "select ta.j1_id from (select 1 as j1_id) ta;",
            "select ta.j1_id from j1 ta;",
            "select ta.j1_id from j1 ta order by ta.j1_id;",
            "select * from j1 ta order by ta.j1_id, ta.j1_string desc;",
            "select * from j1 limit 10;",
            "select ta.j1_id from j1 ta where ta.j1_id > 1;",
            "select ta.j1_id, tb.j2_string from j1 ta join j2 tb on (ta.j1_id = tb.j2_id);",
            "select ta.j1_id, tb.j2_string, tc.j3_string from j1 ta join j2 tb on (ta.j1_id = tb.j2_id) join j3 tc on (ta.j1_id = tc.j3_id);",
            "select * from (select id, first_name from person)",
            "select * from (select id, first_name from (select * from person))",
            "select id, count(*) as cnt from (select id from person) group by id",
            "select (id-1)/2, count(*) / (sum(id/10)-1) as agg_expr from (select (id-1) as id from person) group by id",
            "select CAST(id/2 as VARCHAR) NOT LIKE 'foo*' from person where NOT EXISTS (select ta.j1_id, tb.j2_string from j1 ta join j2 tb on (ta.j1_id = tb.j2_id))",
            r#"select "First Name" from person_quoted_cols"#,
            "select DISTINCT id FROM person",
            "select DISTINCT on (id) id, first_name from person",
            "select DISTINCT on (id) id, first_name from person order by id",
            r#"select id, count("First Name") as cnt from (select id, "First Name" from person_quoted_cols) group by id"#,
            "select id, count(*) as cnt from (select p1.id as id from person p1 inner join person p2 on p1.id=p2.id) group by id",
            "select id, count(*), first_name from person group by first_name, id",
            "select id, sum(age), first_name from person group by first_name, id",
            "select id, count(*), first_name
            from person
            where id!=3 and first_name=='test'
            group by first_name, id
            having count(*)>5 and count(*)<10
            order by count(*)",
            r#"select id, count("First Name") as count_first_name, "Last Name"
            from person_quoted_cols
            where id!=3 and "First Name"=='test'
            group by "Last Name", id
            having count_first_name>5 and count_first_name<10
            order by count_first_name, "Last Name""#,
            r#"select p.id, count("First Name") as count_first_name,
            "Last Name", sum(qp.id/p.id - (select sum(id) from person_quoted_cols) ) / (select count(*) from person)
            from (select id, "First Name", "Last Name" from person_quoted_cols) qp
            inner join (select * from person) p
            on p.id = qp.id
            where p.id!=3 and "First Name"=='test' and qp.id in
            (select id from (select id, count(*) from person group by id having count(*) > 0))
            group by "Last Name", p.id
            having count_first_name>5 and count_first_name<10
            order by count_first_name, "Last Name""#,
            r#"SELECT j1_string as string FROM j1
            UNION ALL
            SELECT j2_string as string FROM j2"#,
            r#"SELECT j1_string as string FROM j1
            UNION ALL
            SELECT j2_string as string FROM j2
            ORDER BY string DESC
            LIMIT 10"#,
            r#"SELECT col1, id FROM (
                SELECT j1_string AS col1, j1_id AS id FROM j1
                UNION ALL
                SELECT j2_string AS col1, j2_id AS id FROM j2
                UNION ALL
                SELECT j3_string AS col1, j3_id AS id FROM j3
            ) AS subquery GROUP BY col1, id ORDER BY col1 ASC, id ASC"#,
            r#"SELECT col1, id FROM (
                SELECT j1_string AS col1, j1_id AS id FROM j1
                UNION
                SELECT j2_string AS col1, j2_id AS id FROM j2
                UNION
                SELECT j3_string AS col1, j3_id AS id FROM j3
            ) AS subquery ORDER BY col1 ASC, id ASC"#,
            "SELECT id, count(*) over (PARTITION BY first_name ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING),
            last_name, sum(id) over (PARTITION BY first_name ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING),
            first_name from person",
            r#"SELECT id, count(distinct id) over (ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING),
            sum(id) OVER (PARTITION BY first_name ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) from person"#,
            "SELECT id, sum(id) OVER (PARTITION BY first_name ROWS BETWEEN 5 PRECEDING AND 2 FOLLOWING) from person",
            "WITH t1 AS (SELECT j1_id AS id, j1_string name FROM j1), t2 AS (SELECT j2_id AS id, j2_string name FROM j2) SELECT * FROM t1 JOIN t2 USING (id, name)",
            "WITH w1 AS (SELECT 'a' as col), w2 AS (SELECT 'b' as col), w3 as (SELECT 'c' as col) SELECT * FROM w1 UNION ALL SELECT * FROM w2 UNION ALL SELECT * FROM w3",
            "WITH w1 AS (SELECT 'a' as col), w2 AS (SELECT 'b' as col), w3 as (SELECT 'c' as col), w4 as (SELECT 'd' as col) SELECT * FROM w1 UNION ALL SELECT * FROM w2 UNION ALL SELECT * FROM w3 UNION ALL SELECT * FROM w4",
            "WITH w1 AS (SELECT 'a' as col), w2 AS (SELECT 'b' as col) SELECT * FROM w1 JOIN w2 ON w1.col = w2.col UNION ALL SELECT * FROM w1 JOIN w2 ON w1.col = w2.col UNION ALL SELECT * FROM w1 JOIN w2 ON w1.col = w2.col",
            r#"SELECT id, first_name,
            SUM(id) AS total_sum,
            SUM(id) OVER (PARTITION BY first_name ROWS BETWEEN 5 PRECEDING AND 2 FOLLOWING) AS moving_sum,
            MAX(SUM(id)) OVER (PARTITION BY first_name ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS max_total
            FROM person JOIN orders ON person.id = orders.customer_id GROUP BY id, first_name"#,
            r#"SELECT id, first_name,
            SUM(id) AS total_sum,
            SUM(id) OVER (PARTITION BY first_name ROWS BETWEEN 5 PRECEDING AND 2 FOLLOWING) AS moving_sum,
            MAX(SUM(id)) OVER (PARTITION BY first_name ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS max_total
            FROM (SELECT id, first_name from person) person JOIN (SELECT customer_id FROM orders) orders ON person.id = orders.customer_id GROUP BY id, first_name"#,
            r#"SELECT id, first_name, last_name, customer_id, SUM(id) AS total_sum
            FROM person
            JOIN orders ON person.id = orders.customer_id
            GROUP BY ROLLUP(id, first_name, last_name, customer_id)"#,
            r#"SELECT id, first_name, last_name,
            SUM(id) AS total_sum,
            COUNT(*) AS total_count,
            SUM(id) OVER (ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS running_total
            FROM person
            GROUP BY GROUPING SETS ((id, first_name, last_name), (first_name, last_name), (last_name))"#,
            "SELECT ARRAY[1, 2, 3]",
            "SELECT ARRAY[1, 2, 3][1]",
            "SELECT [1, 2, 3]",
            "SELECT [1, 2, 3][1]",
            "SELECT left[1] FROM array",
            "SELECT {a:1, b:2}",
            "SELECT s.a FROM (SELECT {a:1, b:2} AS s)",
            "SELECT MAP {'a': 1, 'b': 2}"
    ];

    // For each test sql string, we transform as follows:
    // sql -> ast::Statement (s1) -> LogicalPlan (p1) -> ast::Statement (s2) -> LogicalPlan (p2)
    // We test not that s1==s2, but rather p1==p2. This ensures that unparser preserves the logical
    // query information of the original sql string and disreguards other differences in syntax or
    // quoting.
    for query in tests {
        let dialect = GenericDialect {};
        let statement = Parser::new(&dialect)
            .try_with_sql(query)?
            .parse_statement()?;
        let state = MockSessionState::default()
            .with_scalar_function(make_array_udf())
            .with_scalar_function(array_element_udf())
            .with_scalar_function(map_udf())
            .with_aggregate_function(sum_udaf())
            .with_aggregate_function(count_udaf())
            .with_aggregate_function(max_udaf())
            .with_expr_planner(Arc::new(CoreFunctionPlanner::default()))
            .with_expr_planner(Arc::new(NestedFunctionPlanner))
            .with_expr_planner(Arc::new(FieldAccessPlanner));
        let context = MockContextProvider { state };
        let sql_to_rel = SqlToRel::new(&context);
        let plan = sql_to_rel.sql_statement_to_plan(statement).unwrap();

        let roundtrip_statement = plan_to_sql(&plan)?;

        let plan_roundtrip = sql_to_rel
            .sql_statement_to_plan(roundtrip_statement.clone())
            .unwrap();

        assert_eq!(plan, plan_roundtrip);
    }

    Ok(())
}

#[test]
fn roundtrip_crossjoin() -> Result<()> {
    let query = "select j1.j1_id, j2.j2_string from j1, j2";

    let dialect = GenericDialect {};
    let statement = Parser::new(&dialect)
        .try_with_sql(query)?
        .parse_statement()?;

    let state = MockSessionState::default()
        .with_expr_planner(Arc::new(CoreFunctionPlanner::default()));

    let context = MockContextProvider { state };
    let sql_to_rel = SqlToRel::new(&context);
    let plan = sql_to_rel.sql_statement_to_plan(statement).unwrap();

    let roundtrip_statement = plan_to_sql(&plan)?;

    let actual = &roundtrip_statement.to_string();
    println!("roundtrip sql: {actual}");
    println!("plan {}", plan.display_indent());

    let plan_roundtrip = sql_to_rel
        .sql_statement_to_plan(roundtrip_statement)
        .unwrap();
    assert_snapshot!(
        plan_roundtrip,
        @r"
    Projection: j1.j1_id, j2.j2_string
      Cross Join:
        TableScan: j1
        TableScan: j2
    "
    );

    Ok(())
}

#[macro_export]
macro_rules! roundtrip_statement_with_dialect_helper {
    (
        sql: $sql:expr,
        parser_dialect: $parser_dialect:expr,
        unparser_dialect: $unparser_dialect:expr,
        expected: @ $expected:literal $(,)?
    ) => {{
        let statement = Parser::new(&$parser_dialect)
            .try_with_sql($sql)?
            .parse_statement()?;

        let state = MockSessionState::default()
            .with_aggregate_function(max_udaf())
            .with_aggregate_function(min_udaf())
            .with_expr_planner(Arc::new(CoreFunctionPlanner::default()))
            .with_expr_planner(Arc::new(NestedFunctionPlanner))
            .with_expr_planner(Arc::new(FieldAccessPlanner));

        let context = MockContextProvider { state };
        let sql_to_rel = SqlToRel::new(&context);
        let plan = sql_to_rel
            .sql_statement_to_plan(statement)
            .unwrap_or_else(|e| panic!("Failed to parse sql: {}\n{e}", $sql));

        let unparser = Unparser::new(&$unparser_dialect);
        let roundtrip_statement = unparser.plan_to_sql(&plan)?;

        let actual = &roundtrip_statement.to_string();
        insta::assert_snapshot!(actual, @ $expected);
    }};
}

#[test]
fn roundtrip_statement_with_dialect_1() -> Result<(), DataFusionError> {
    roundtrip_statement_with_dialect_helper!(
        sql: "select min(ta.j1_id) as j1_min from j1 ta order by min(ta.j1_id) limit 10;",
        parser_dialect: MySqlDialect {},
        unparser_dialect: UnparserMySqlDialect {},
        expected: @"SELECT min(`ta`.`j1_id`) AS `j1_min` FROM `j1` AS `ta` ORDER BY `j1_min` ASC LIMIT 10",
    );
    Ok(())
}

#[test]
fn roundtrip_statement_with_dialect_2() -> Result<(), DataFusionError> {
    roundtrip_statement_with_dialect_helper!(
        sql: "select min(ta.j1_id) as j1_min from j1 ta order by min(ta.j1_id) limit 10;",
        parser_dialect: GenericDialect {},
        unparser_dialect: UnparserDefaultDialect {},
        expected: @"SELECT min(ta.j1_id) AS j1_min FROM j1 AS ta ORDER BY j1_min ASC NULLS LAST LIMIT 10",
    );
    Ok(())
}

#[test]
fn roundtrip_statement_with_dialect_3() -> Result<(), DataFusionError> {
    roundtrip_statement_with_dialect_helper!(
        sql: "select min(ta.j1_id) as j1_min, max(tb.j1_max) from j1 ta, (select distinct max(ta.j1_id) as j1_max from j1 ta order by max(ta.j1_id)) tb order by min(ta.j1_id) limit 10;",
        parser_dialect: MySqlDialect {},
        unparser_dialect: UnparserMySqlDialect {},
        expected: @"SELECT min(`ta`.`j1_id`) AS `j1_min`, max(`tb`.`j1_max`) FROM `j1` AS `ta` CROSS JOIN (SELECT DISTINCT max(`ta`.`j1_id`) AS `j1_max` FROM `j1` AS `ta`) AS `tb` ORDER BY `j1_min` ASC LIMIT 10",
    );
    Ok(())
}

#[test]
fn roundtrip_statement_postgres_any_array_expr() -> Result<(), DataFusionError> {
    roundtrip_statement_with_dialect_helper!(
        sql: "select left from array where 1 = any(left);",
        parser_dialect: GenericDialect {},
        unparser_dialect: UnparserPostgreSqlDialect {},
        expected: @r#"SELECT "array"."left" FROM "array" WHERE 1 = ANY("array"."left")"#,
    );
    Ok(())
}

#[test]
fn roundtrip_statement_with_dialect_4() -> Result<(), DataFusionError> {
    roundtrip_statement_with_dialect_helper!(
        sql: "select j1_id from (select 1 as j1_id);",
        parser_dialect: MySqlDialect {},
        unparser_dialect: UnparserMySqlDialect {},
        expected: @"SELECT `j1_id` FROM (SELECT 1 AS `j1_id`) AS `derived_projection`",
    );
    Ok(())
}

#[test]
fn roundtrip_statement_with_dialect_5() -> Result<(), DataFusionError> {
    roundtrip_statement_with_dialect_helper!(
        sql: "select j1_id from (select j1_id from j1 limit 10);",
        parser_dialect: MySqlDialect {},
        unparser_dialect: UnparserMySqlDialect {},
        expected: @"SELECT `j1`.`j1_id` FROM (SELECT `j1`.`j1_id` FROM `j1` LIMIT 10) AS `derived_limit`",
    );
    Ok(())
}

#[test]
fn roundtrip_statement_with_dialect_6() -> Result<(), DataFusionError> {
    roundtrip_statement_with_dialect_helper!(
        sql: "select ta.j1_id from j1 ta order by j1_id limit 10;",
        parser_dialect: MySqlDialect {},
        unparser_dialect: UnparserMySqlDialect {},
        expected: @"SELECT `ta`.`j1_id` FROM `j1` AS `ta` ORDER BY `ta`.`j1_id` ASC LIMIT 10",
    );
    Ok(())
}

#[test]
fn roundtrip_statement_with_dialect_7() -> Result<(), DataFusionError> {
    roundtrip_statement_with_dialect_helper!(
        sql: "select ta.j1_id from j1 ta order by j1_id limit 10;",
        parser_dialect: GenericDialect {},
        unparser_dialect: UnparserDefaultDialect {},
        expected: @"SELECT ta.j1_id FROM j1 AS ta ORDER BY ta.j1_id ASC NULLS LAST LIMIT 10",
    );
    Ok(())
}

#[test]
fn roundtrip_statement_with_dialect_8() -> Result<(), DataFusionError> {
    roundtrip_statement_with_dialect_helper!(
        sql: "SELECT j1_id FROM j1
                  UNION ALL
                  SELECT tb.j2_id as j1_id FROM j2 tb
                  ORDER BY j1_id
                  LIMIT 10;",
        parser_dialect: GenericDialect {},
        unparser_dialect: UnparserDefaultDialect {},
        expected: @"SELECT j1.j1_id FROM j1 UNION ALL SELECT tb.j2_id AS j1_id FROM j2 AS tb ORDER BY j1_id ASC NULLS LAST LIMIT 10",
    );
    Ok(())
}

// Test query with derived tables that put distinct,sort,limit on the wrong level
#[test]
fn roundtrip_statement_with_dialect_9() -> Result<(), DataFusionError> {
    roundtrip_statement_with_dialect_helper!(
        sql: "SELECT j1_string from j1 order by j1_id",
        parser_dialect: GenericDialect {},
        unparser_dialect: UnparserDefaultDialect {},
        expected: @"SELECT j1.j1_string FROM j1 ORDER BY j1.j1_id ASC NULLS LAST",
    );
    Ok(())
}

#[test]
fn roundtrip_statement_with_dialect_10() -> Result<(), DataFusionError> {
    roundtrip_statement_with_dialect_helper!(
        sql: "SELECT j1_string AS a from j1 order by j1_id",
        parser_dialect: GenericDialect {},
        unparser_dialect: UnparserDefaultDialect {},
        expected: @"SELECT j1.j1_string AS a FROM j1 ORDER BY j1.j1_id ASC NULLS LAST",
    );
    Ok(())
}

#[test]
fn roundtrip_statement_with_dialect_11() -> Result<(), DataFusionError> {
    roundtrip_statement_with_dialect_helper!(
        sql: "SELECT j1_string from j1 join j2 on j1.j1_id = j2.j2_id order by j1_id",
        parser_dialect: GenericDialect {},
        unparser_dialect: UnparserDefaultDialect {},
        expected: @"SELECT j1.j1_string FROM j1 INNER JOIN j2 ON (j1.j1_id = j2.j2_id) ORDER BY j1.j1_id ASC NULLS LAST",
    );
    Ok(())
}

#[test]
fn roundtrip_statement_with_dialect_12() -> Result<(), DataFusionError> {
    roundtrip_statement_with_dialect_helper!(
        sql: "
                SELECT
                  j1_string,
                  j2_string
                FROM
                  (
                    SELECT
                      distinct j1_id,
                      j1_string,
                      j2_string
                    from
                      j1
                      INNER join j2 ON j1.j1_id = j2.j2_id
                    order by
                      j1.j1_id desc
                    limit
                      10
                  ) abc
                ORDER BY
                  abc.j2_string",
        parser_dialect: GenericDialect {},
        unparser_dialect: UnparserDefaultDialect {},
        expected: @"SELECT abc.j1_string, abc.j2_string FROM (SELECT DISTINCT j1.j1_id, j1.j1_string, j2.j2_string FROM j1 INNER JOIN j2 ON (j1.j1_id = j2.j2_id) ORDER BY j1.j1_id DESC NULLS FIRST LIMIT 10) AS abc ORDER BY abc.j2_string ASC NULLS LAST",
    );
    Ok(())
}

// more tests around subquery/derived table roundtrip
#[test]
fn roundtrip_statement_with_dialect_13() -> Result<(), DataFusionError> {
    roundtrip_statement_with_dialect_helper!(
        sql: "SELECT string_count FROM (
                    SELECT
                        j1_id,
                        min(j2_string)
                    FROM
                        j1 LEFT OUTER JOIN j2 ON
                                    j1_id = j2_id
                    GROUP BY
                        j1_id
                ) AS agg (id, string_count)
            ",
        parser_dialect: GenericDialect {},
        unparser_dialect: UnparserDefaultDialect {},
        expected: @"SELECT agg.string_count FROM (SELECT j1.j1_id, min(j2.j2_string) FROM j1 LEFT OUTER JOIN j2 ON (j1.j1_id = j2.j2_id) GROUP BY j1.j1_id) AS agg (id, string_count)",
    );
    Ok(())
}

#[test]
fn roundtrip_statement_with_dialect_14() -> Result<(), DataFusionError> {
    roundtrip_statement_with_dialect_helper!(
        sql: "
                SELECT
                  j1_string,
                  j2_string
                FROM
                  (
                    SELECT
                      j1_id,
                      j1_string,
                      j2_string
                    from
                      j1
                      INNER join j2 ON j1.j1_id = j2.j2_id
                    group by
                      j1_id,
                      j1_string,
                      j2_string
                    order by
                      j1.j1_id desc
                    limit
                      10
                  ) abc
                ORDER BY
                  abc.j2_string",
        parser_dialect: GenericDialect {},
        unparser_dialect: UnparserDefaultDialect {},
        expected: @"SELECT abc.j1_string, abc.j2_string FROM (SELECT j1.j1_id, j1.j1_string, j2.j2_string FROM j1 INNER JOIN j2 ON (j1.j1_id = j2.j2_id) GROUP BY j1.j1_id, j1.j1_string, j2.j2_string ORDER BY j1.j1_id DESC NULLS FIRST LIMIT 10) AS abc ORDER BY abc.j2_string ASC NULLS LAST",
    );
    Ok(())
}

// Test query that order by columns are not in select columns
#[test]
fn roundtrip_statement_with_dialect_15() -> Result<(), DataFusionError> {
    roundtrip_statement_with_dialect_helper!(
        sql: "
                SELECT
                  j1_string
                FROM
                  (
                    SELECT
                      j1_string,
                      j2_string
                    from
                      j1
                      INNER join j2 ON j1.j1_id = j2.j2_id
                    order by
                      j1.j1_id desc,
                      j2.j2_id desc
                    limit
                      10
                  ) abc
                ORDER BY
                  j2_string",
        parser_dialect: GenericDialect {},
        unparser_dialect: UnparserDefaultDialect {},
        expected: @"SELECT abc.j1_string FROM (SELECT j1.j1_string, j2.j2_string FROM j1 INNER JOIN j2 ON (j1.j1_id = j2.j2_id) ORDER BY j1.j1_id DESC NULLS FIRST, j2.j2_id DESC NULLS FIRST LIMIT 10) AS abc ORDER BY abc.j2_string ASC NULLS LAST",
    );
    Ok(())
}

#[test]
fn roundtrip_statement_with_dialect_16() -> Result<(), DataFusionError> {
    roundtrip_statement_with_dialect_helper!(
        sql: "SELECT id FROM (SELECT j1_id from j1) AS c (id)",
        parser_dialect: GenericDialect {},
        unparser_dialect: UnparserDefaultDialect {},
        expected: @"SELECT c.id FROM (SELECT j1.j1_id FROM j1) AS c (id)",
    );
    Ok(())
}

#[test]
fn roundtrip_statement_with_dialect_17() -> Result<(), DataFusionError> {
    roundtrip_statement_with_dialect_helper!(
        sql: "SELECT id FROM (SELECT j1_id as id from j1) AS c",
        parser_dialect: GenericDialect {},
        unparser_dialect: UnparserDefaultDialect {},
        expected: @"SELECT c.id FROM (SELECT j1.j1_id AS id FROM j1) AS c",
    );
    Ok(())
}

// Test query that has calculation in derived table with columns
#[test]
fn roundtrip_statement_with_dialect_18() -> Result<(), DataFusionError> {
    roundtrip_statement_with_dialect_helper!(
        sql: "SELECT id FROM (SELECT j1_id + 1 * 3 from j1) AS c (id)",
        parser_dialect: GenericDialect {},
        unparser_dialect: UnparserDefaultDialect {},
        expected: @"SELECT c.id FROM (SELECT (j1.j1_id + (1 * 3)) FROM j1) AS c (id)",
    );
    Ok(())
}

// Test query that has limit/distinct/order in derived table with columns
#[test]
fn roundtrip_statement_with_dialect_19() -> Result<(), DataFusionError> {
    roundtrip_statement_with_dialect_helper!(
        sql: "SELECT id FROM (SELECT distinct (j1_id + 1 * 3) FROM j1 LIMIT 1) AS c (id)",
        parser_dialect: GenericDialect {},
        unparser_dialect: UnparserDefaultDialect {},
        expected: @"SELECT c.id FROM (SELECT DISTINCT (j1.j1_id + (1 * 3)) FROM j1 LIMIT 1) AS c (id)",
    );
    Ok(())
}

#[test]
fn roundtrip_statement_with_dialect_20() -> Result<(), DataFusionError> {
    roundtrip_statement_with_dialect_helper!(
        sql: "SELECT id FROM (SELECT j1_id + 1 FROM j1 ORDER BY j1_id DESC LIMIT 1) AS c (id)",
        parser_dialect: GenericDialect {},
        unparser_dialect: UnparserDefaultDialect {},
        expected: @"SELECT c.id FROM (SELECT (j1.j1_id + 1) FROM j1 ORDER BY j1.j1_id DESC NULLS FIRST LIMIT 1) AS c (id)",
    );
    Ok(())
}

#[test]
fn roundtrip_statement_with_dialect_21() -> Result<(), DataFusionError> {
    roundtrip_statement_with_dialect_helper!(
        sql: "SELECT id FROM (SELECT CAST((CAST(j1_id as BIGINT) + 1) as int) * 10 FROM j1 LIMIT 1) AS c (id)",
        parser_dialect: GenericDialect {},
        unparser_dialect: UnparserDefaultDialect {},
        expected: @"SELECT c.id FROM (SELECT (CAST((CAST(j1.j1_id AS BIGINT) + 1) AS INTEGER) * 10) FROM j1 LIMIT 1) AS c (id)",
    );
    Ok(())
}

#[test]
fn roundtrip_statement_with_dialect_22() -> Result<(), DataFusionError> {
    roundtrip_statement_with_dialect_helper!(
        sql: "SELECT id FROM (SELECT CAST(j1_id as BIGINT) + 1 FROM j1 ORDER BY j1_id LIMIT 1) AS c (id)",
        parser_dialect: GenericDialect {},
        unparser_dialect: UnparserDefaultDialect {},
        expected: @"SELECT c.id FROM (SELECT (CAST(j1.j1_id AS BIGINT) + 1) FROM j1 ORDER BY j1.j1_id ASC NULLS LAST LIMIT 1) AS c (id)",
    );
    Ok(())
}

#[test]
fn roundtrip_statement_with_dialect_23() -> Result<(), DataFusionError> {
    roundtrip_statement_with_dialect_helper!(
        sql: "SELECT temp_j.id2 FROM (SELECT j1_id, j1_string FROM j1) AS temp_j(id2, string2)",
        parser_dialect: GenericDialect {},
        unparser_dialect: UnparserDefaultDialect {},
        expected: @"SELECT temp_j.id2 FROM (SELECT j1.j1_id, j1.j1_string FROM j1) AS temp_j (id2, string2)",
    );
    Ok(())
}

#[test]
fn roundtrip_statement_with_dialect_24() -> Result<(), DataFusionError> {
    roundtrip_statement_with_dialect_helper!(
        sql: "SELECT temp_j.id2 FROM (SELECT j1_id, j1_string FROM j1) AS temp_j(id2, string2)",
        parser_dialect: GenericDialect {},
        unparser_dialect: SqliteDialect {},
        expected: @"SELECT `temp_j`.`id2` FROM (SELECT `j1`.`j1_id` AS `id2`, `j1`.`j1_string` AS `string2` FROM `j1`) AS `temp_j`",
    );
    Ok(())
}

#[test]
fn roundtrip_statement_with_dialect_25() -> Result<(), DataFusionError> {
    roundtrip_statement_with_dialect_helper!(
        sql: "SELECT * FROM (SELECT j1_id + 1 FROM j1) AS temp_j(id2)",
        parser_dialect: GenericDialect {},
        unparser_dialect: SqliteDialect {},
        expected: @"SELECT `temp_j`.`id2` FROM (SELECT (`j1`.`j1_id` + 1) AS `id2` FROM `j1`) AS `temp_j`",
    );
    Ok(())
}

#[test]
fn roundtrip_statement_with_dialect_26() -> Result<(), DataFusionError> {
    roundtrip_statement_with_dialect_helper!(
        sql: "SELECT * FROM (SELECT j1_id FROM j1 LIMIT 1) AS temp_j(id2)",
        parser_dialect: GenericDialect {},
        unparser_dialect: SqliteDialect {},
        expected: @"SELECT `temp_j`.`id2` FROM (SELECT `j1`.`j1_id` AS `id2` FROM `j1` LIMIT 1) AS `temp_j`",
    );
    Ok(())
}

#[test]
fn roundtrip_statement_with_dialect_27() -> Result<(), DataFusionError> {
    roundtrip_statement_with_dialect_helper!(
        sql: "SELECT * FROM UNNEST([1,2,3])",
        parser_dialect: GenericDialect {},
        unparser_dialect: UnparserDefaultDialect {},
        expected: @r#"SELECT "UNNEST(make_array(Int64(1),Int64(2),Int64(3)))" FROM (SELECT UNNEST([1, 2, 3]) AS "UNNEST(make_array(Int64(1),Int64(2),Int64(3)))") AS derived_projection ("UNNEST(make_array(Int64(1),Int64(2),Int64(3)))")"#,
    );
    Ok(())
}

#[test]
fn roundtrip_statement_with_dialect_28() -> Result<(), DataFusionError> {
    roundtrip_statement_with_dialect_helper!(
        sql: "SELECT * FROM UNNEST([1,2,3]) AS t1 (c1)",
        parser_dialect: GenericDialect {},
        unparser_dialect: UnparserDefaultDialect {},
        expected: @r#"SELECT t1.c1 FROM (SELECT UNNEST([1, 2, 3]) AS "UNNEST(make_array(Int64(1),Int64(2),Int64(3)))") AS t1 (c1)"#,
    );
    Ok(())
}

#[test]
fn roundtrip_statement_with_dialect_29() -> Result<(), DataFusionError> {
    roundtrip_statement_with_dialect_helper!(
        sql: "SELECT * FROM UNNEST([1,2,3]), j1",
        parser_dialect: GenericDialect {},
        unparser_dialect: UnparserDefaultDialect {},
        expected: @r#"SELECT "UNNEST(make_array(Int64(1),Int64(2),Int64(3)))", j1.j1_id, j1.j1_string FROM (SELECT UNNEST([1, 2, 3]) AS "UNNEST(make_array(Int64(1),Int64(2),Int64(3)))") AS derived_projection ("UNNEST(make_array(Int64(1),Int64(2),Int64(3)))") CROSS JOIN j1"#,
    );
    Ok(())
}

#[test]
fn roundtrip_statement_with_dialect_30() -> Result<(), DataFusionError> {
    roundtrip_statement_with_dialect_helper!(
        sql: "SELECT * FROM UNNEST([1,2,3]) u(c1) JOIN j1 ON u.c1 = j1.j1_id",
        parser_dialect: GenericDialect {},
        unparser_dialect: UnparserDefaultDialect {},
        expected: @r#"SELECT u.c1, j1.j1_id, j1.j1_string FROM (SELECT UNNEST([1, 2, 3]) AS "UNNEST(make_array(Int64(1),Int64(2),Int64(3)))") AS u (c1) INNER JOIN j1 ON (u.c1 = j1.j1_id)"#,
    );
    Ok(())
}

#[test]
fn roundtrip_statement_with_dialect_31() -> Result<(), DataFusionError> {
    roundtrip_statement_with_dialect_helper!(
        sql: "SELECT * FROM UNNEST([1,2,3]) u(c1) UNION ALL SELECT * FROM UNNEST([4,5,6]) u(c1)",
        parser_dialect: GenericDialect {},
        unparser_dialect: UnparserDefaultDialect {},
        expected: @r#"SELECT u.c1 FROM (SELECT UNNEST([1, 2, 3]) AS "UNNEST(make_array(Int64(1),Int64(2),Int64(3)))") AS u (c1) UNION ALL SELECT u.c1 FROM (SELECT UNNEST([4, 5, 6]) AS "UNNEST(make_array(Int64(4),Int64(5),Int64(6)))") AS u (c1)"#,
    );
    Ok(())
}

#[test]
fn roundtrip_statement_with_dialect_32() -> Result<(), DataFusionError> {
    let unparser = CustomDialectBuilder::default()
        .with_unnest_as_table_factor(true)
        .build();
    roundtrip_statement_with_dialect_helper!(
        sql: "SELECT * FROM UNNEST([1,2,3])",
        parser_dialect: GenericDialect {},
        unparser_dialect: unparser,
        expected: @"SELECT UNNEST(make_array(Int64(1),Int64(2),Int64(3))) FROM UNNEST([1, 2, 3])",
    );
    Ok(())
}

#[test]
fn roundtrip_statement_with_dialect_33() -> Result<(), DataFusionError> {
    roundtrip_statement_with_dialect_helper!(
        sql: "SELECT * FROM unnest_table u, UNNEST(u.array_col)",
        parser_dialect: GenericDialect {},
        unparser_dialect: UnparserDefaultDialect {},
        expected: @r#"SELECT u.array_col, u.struct_col, "UNNEST(outer_ref(u.array_col))" FROM unnest_table AS u CROSS JOIN LATERAL (SELECT UNNEST(u.array_col) AS "UNNEST(outer_ref(u.array_col))")"#,
    );
    Ok(())
}

#[test]
fn roundtrip_statement_with_dialect_34() -> Result<(), DataFusionError> {
    let unparser = CustomDialectBuilder::default()
        .with_unnest_as_table_factor(true)
        .build();
    roundtrip_statement_with_dialect_helper!(
        sql: "SELECT * FROM UNNEST([1,2,3]) AS t1 (c1)",
        parser_dialect: GenericDialect {},
        unparser_dialect: unparser,
        expected: @"SELECT t1.c1 FROM UNNEST([1, 2, 3]) AS t1 (c1)",
    );
    Ok(())
}

#[test]
fn roundtrip_statement_with_dialect_35() -> Result<(), DataFusionError> {
    let unparser = CustomDialectBuilder::default()
        .with_unnest_as_table_factor(true)
        .build();
    roundtrip_statement_with_dialect_helper!(
        sql: "SELECT * FROM UNNEST([1,2,3]), j1",
        parser_dialect: GenericDialect {},
        unparser_dialect: unparser,
        expected: @"SELECT UNNEST(make_array(Int64(1),Int64(2),Int64(3))), j1.j1_id, j1.j1_string FROM UNNEST([1, 2, 3]) CROSS JOIN j1",
    );
    Ok(())
}

#[test]
fn roundtrip_statement_with_dialect_36() -> Result<(), DataFusionError> {
    let unparser = CustomDialectBuilder::default()
        .with_unnest_as_table_factor(true)
        .build();
    roundtrip_statement_with_dialect_helper!(
        sql: "SELECT * FROM UNNEST([1,2,3]) u(c1) JOIN j1 ON u.c1 = j1.j1_id",
        parser_dialect: GenericDialect {},
        unparser_dialect: unparser,
        expected: @"SELECT u.c1, j1.j1_id, j1.j1_string FROM UNNEST([1, 2, 3]) AS u (c1) INNER JOIN j1 ON (u.c1 = j1.j1_id)",
    );
    Ok(())
}

#[test]
fn roundtrip_statement_with_dialect_37() -> Result<(), DataFusionError> {
    let unparser = CustomDialectBuilder::default()
        .with_unnest_as_table_factor(true)
        .build();
    roundtrip_statement_with_dialect_helper!(
        sql: "SELECT * FROM UNNEST([1,2,3]) u(c1) UNION ALL SELECT * FROM UNNEST([4,5,6]) u(c1)",
        parser_dialect: GenericDialect {},
        unparser_dialect: unparser,
        expected: @"SELECT u.c1 FROM UNNEST([1, 2, 3]) AS u (c1) UNION ALL SELECT u.c1 FROM UNNEST([4, 5, 6]) AS u (c1)",
    );
    Ok(())
}

#[test]
fn roundtrip_statement_with_dialect_38() -> Result<(), DataFusionError> {
    let unparser = CustomDialectBuilder::default()
        .with_unnest_as_table_factor(true)
        .build();
    roundtrip_statement_with_dialect_helper!(
        sql: "SELECT UNNEST([1,2,3])",
        parser_dialect: GenericDialect {},
        unparser_dialect: unparser,
        expected: @"SELECT * FROM UNNEST([1, 2, 3])",
    );
    Ok(())
}

#[test]
fn roundtrip_statement_with_dialect_39() -> Result<(), DataFusionError> {
    let unparser = CustomDialectBuilder::default()
        .with_unnest_as_table_factor(true)
        .build();
    roundtrip_statement_with_dialect_helper!(
        sql: "SELECT UNNEST([1,2,3]) as c1",
        parser_dialect: GenericDialect {},
        unparser_dialect: unparser,
        expected: @"SELECT UNNEST([1, 2, 3]) AS c1",
    );
    Ok(())
}

#[test]
fn roundtrip_statement_with_dialect_40() -> Result<(), DataFusionError> {
    let unparser = CustomDialectBuilder::default()
        .with_unnest_as_table_factor(true)
        .build();
    roundtrip_statement_with_dialect_helper!(
        sql: "SELECT UNNEST([1,2,3]), 1",
        parser_dialect: GenericDialect {},
        unparser_dialect: unparser,
        expected: @"SELECT UNNEST([1, 2, 3]) AS UNNEST(make_array(Int64(1),Int64(2),Int64(3))), Int64(1)",
    );
    Ok(())
}

#[test]
fn roundtrip_statement_with_dialect_41() -> Result<(), DataFusionError> {
    let unparser = CustomDialectBuilder::default()
        .with_unnest_as_table_factor(true)
        .build();
    roundtrip_statement_with_dialect_helper!(
        sql: "SELECT * FROM unnest_table u, UNNEST(u.array_col)",
        parser_dialect: GenericDialect {},
        unparser_dialect: unparser,
        expected: @"SELECT u.array_col, u.struct_col, UNNEST(outer_ref(u.array_col)) FROM unnest_table AS u CROSS JOIN UNNEST(u.array_col)",
    );
    Ok(())
}

#[test]
fn roundtrip_statement_with_dialect_42() -> Result<(), DataFusionError> {
    let unparser = CustomDialectBuilder::default()
        .with_unnest_as_table_factor(true)
        .build();
    roundtrip_statement_with_dialect_helper!(
        sql: "SELECT * FROM unnest_table u, UNNEST(u.array_col) AS t1 (c1)",
        parser_dialect: GenericDialect {},
        unparser_dialect: unparser,
        expected: @"SELECT u.array_col, u.struct_col, t1.c1 FROM unnest_table AS u CROSS JOIN UNNEST(u.array_col) AS t1 (c1)",
    );
    Ok(())
}

#[test]
fn roundtrip_statement_with_dialect_43() -> Result<(), DataFusionError> {
    let unparser = CustomDialectBuilder::default()
        .with_unnest_as_table_factor(true)
        .build();
    roundtrip_statement_with_dialect_helper!(
        sql: "SELECT unnest([1, 2, 3, 4]) from unnest([1, 2, 3]);",
        parser_dialect: GenericDialect {},
        unparser_dialect: unparser,
        expected: @"SELECT UNNEST([1, 2, 3, 4]) AS UNNEST(make_array(Int64(1),Int64(2),Int64(3),Int64(4))) FROM UNNEST([1, 2, 3])",
    );
    Ok(())
}

#[test]
fn roundtrip_statement_with_dialect_45() -> Result<(), DataFusionError> {
    roundtrip_statement_with_dialect_helper!(
        sql: "SELECT * FROM unnest_table u, UNNEST(u.array_col) AS t1 (c1)",
        parser_dialect: GenericDialect {},
        unparser_dialect: UnparserDefaultDialect {},
        expected: @r#"SELECT u.array_col, u.struct_col, t1.c1 FROM unnest_table AS u CROSS JOIN LATERAL (SELECT UNNEST(u.array_col) AS "UNNEST(outer_ref(u.array_col))") AS t1 (c1)"#,
    );
    Ok(())
}

#[test]
fn roundtrip_statement_with_dialect_special_char_alias() -> Result<(), DataFusionError> {
    roundtrip_statement_with_dialect_helper!(
        sql: "select min(a) as \"min(a)\" from (select 1 as a)",
        parser_dialect: GenericDialect {},
        unparser_dialect: BigQueryDialect {},
        expected: @"SELECT min(`a`) AS `min_40a_41` FROM (SELECT 1 AS `a`)",
    );
    roundtrip_statement_with_dialect_helper!(
        sql: "select a as \"a*\", b as \"b@\" from (select 1 as a , 2 as b)",
        parser_dialect: GenericDialect {},
        unparser_dialect: BigQueryDialect {},
        expected: @"SELECT `a` AS `a_42`, `b` AS `b_64` FROM (SELECT 1 AS `a`, 2 AS `b`)",
    );
    roundtrip_statement_with_dialect_helper!(
        sql: "select a as \"a*\", b , c as \"c@\" from (select 1 as a , 2 as b, 3 as c)",
        parser_dialect: GenericDialect {},
        unparser_dialect: BigQueryDialect {},
        expected: @"SELECT `a` AS `a_42`, `b`, `c` AS `c_64` FROM (SELECT 1 AS `a`, 2 AS `b`, 3 AS `c`)",
    );
    roundtrip_statement_with_dialect_helper!(
        sql: "select * from (select a as \"a*\", b as \"b@\" from (select 1 as a , 2 as b)) where \"a*\" = 1",
        parser_dialect: GenericDialect {},
        unparser_dialect: BigQueryDialect {},
        expected: @"SELECT `a_42`, `b_64` FROM (SELECT `a` AS `a_42`, `b` AS `b_64` FROM (SELECT 1 AS `a`, 2 AS `b`)) WHERE (`a_42` = 1)",
    );
    roundtrip_statement_with_dialect_helper!(
        sql: "select * from (select a as \"a*\", b as \"b@\" from (select 1 as a , 2 as b)) where \"a*\" = 1",
        parser_dialect: GenericDialect {},
        unparser_dialect: UnparserDefaultDialect {},
        expected: @r#"SELECT "a*", "b@" FROM (SELECT a AS "a*", b AS "b@" FROM (SELECT 1 AS a, 2 AS b)) WHERE ("a*" = 1)"#,
    );
    Ok(())
}

#[test]
fn test_unnest_logical_plan() -> Result<()> {
    let query = "select unnest(struct_col), unnest(array_col), struct_col, array_col from unnest_table";

    let dialect = GenericDialect {};
    let statement = Parser::new(&dialect)
        .try_with_sql(query)?
        .parse_statement()?;

    let context = MockContextProvider {
        state: MockSessionState::default(),
    };
    let sql_to_rel = SqlToRel::new(&context);
    let plan = sql_to_rel.sql_statement_to_plan(statement).unwrap();
    assert_snapshot!(
        plan,
        @r"
    Projection: __unnest_placeholder(unnest_table.struct_col).field1 AS unnest_table.struct_col.field1, __unnest_placeholder(unnest_table.struct_col).field2 AS unnest_table.struct_col.field2, __unnest_placeholder(unnest_table.array_col,depth=1) AS UNNEST(unnest_table.array_col), unnest_table.struct_col, unnest_table.array_col
      Unnest: lists[__unnest_placeholder(unnest_table.array_col)|depth=1] structs[__unnest_placeholder(unnest_table.struct_col)]
        Projection: unnest_table.struct_col AS __unnest_placeholder(unnest_table.struct_col), unnest_table.array_col AS __unnest_placeholder(unnest_table.array_col), unnest_table.struct_col, unnest_table.array_col
          TableScan: unnest_table
    "
    );

    Ok(())
}

#[test]
fn test_aggregation_without_projection() -> Result<()> {
    let schema = Schema::new(vec![
        Field::new("name", DataType::Utf8, false),
        Field::new("age", DataType::UInt8, false),
    ]);

    let plan = LogicalPlanBuilder::from(
        table_scan(Some("users"), &schema, Some(vec![0, 1]))?.build()?,
    )
    .aggregate(vec![col("name")], vec![sum(col("age"))])?
    .build()?;

    let unparser = Unparser::default();
    let statement = unparser.plan_to_sql(&plan)?;
    assert_snapshot!(
        statement,
        @r#"SELECT sum(users.age), users."name" FROM users GROUP BY users."name""#
    );

    Ok(())
}

/// return a schema with two string columns: "id" and "value"
fn test_schema() -> Schema {
    Schema::new(vec![
        Field::new("id", DataType::Utf8, false),
        Field::new("value", DataType::Utf8, false),
    ])
}

#[test]
fn test_table_references_in_plan_to_sql_1() {
    let table_name = "catalog.schema.table";
    let schema = test_schema();
    let sql = table_references_in_plan_helper(
        table_name,
        schema,
        vec![col("id"), col("value")],
        &DefaultDialect {},
    );
    assert_snapshot!(
        sql,
        @r#"SELECT "table".id, "table"."value" FROM "catalog"."schema"."table""#
    );
}

#[test]
fn test_table_references_in_plan_to_sql_2() {
    let table_name = "schema.table";
    let schema = test_schema();
    let sql = table_references_in_plan_helper(
        table_name,
        schema,
        vec![col("id"), col("value")],
        &DefaultDialect {},
    );
    assert_snapshot!(
        sql,
        @r#"SELECT "table".id, "table"."value" FROM "schema"."table""#
    );
}

#[test]
fn test_table_references_in_plan_to_sql_3() {
    let table_name = "table";
    let schema = test_schema();
    let sql = table_references_in_plan_helper(
        table_name,
        schema,
        vec![col("id"), col("value")],
        &DefaultDialect {},
    );
    assert_snapshot!(
        sql,
        @r#"SELECT "table".id, "table"."value" FROM "table""#
    );
}

#[test]
fn test_table_references_in_plan_to_sql_4() {
    let table_name = "catalog.schema.table";
    let schema = test_schema();
    let custom_dialect = CustomDialectBuilder::default()
        .with_full_qualified_col(true)
        .with_identifier_quote_style('"')
        .build();

    let sql = table_references_in_plan_helper(
        table_name,
        schema,
        vec![col("id"), col("value")],
        &custom_dialect,
    );
    assert_snapshot!(
        sql,
        @r#"SELECT "catalog"."schema"."table"."id", "catalog"."schema"."table"."value" FROM "catalog"."schema"."table""#
    );
}

#[test]
fn test_table_references_in_plan_to_sql_5() {
    let table_name = "schema.table";
    let schema = test_schema();
    let custom_dialect = CustomDialectBuilder::default()
        .with_full_qualified_col(true)
        .with_identifier_quote_style('"')
        .build();

    let sql = table_references_in_plan_helper(
        table_name,
        schema,
        vec![col("id"), col("value")],
        &custom_dialect,
    );
    assert_snapshot!(
        sql,
        @r#"SELECT "schema"."table"."id", "schema"."table"."value" FROM "schema"."table""#
    );
}

#[test]
fn test_table_references_in_plan_to_sql_6() {
    let table_name = "table";
    let schema = test_schema();
    let custom_dialect = CustomDialectBuilder::default()
        .with_full_qualified_col(true)
        .with_identifier_quote_style('"')
        .build();

    let sql = table_references_in_plan_helper(
        table_name,
        schema,
        vec![col("id"), col("value")],
        &custom_dialect,
    );
    assert_snapshot!(
        sql,
        @r#"SELECT "table"."id", "table"."value" FROM "table""#
    );
}

fn table_references_in_plan_helper(
    table_name: &str,
    table_schema: Schema,
    expr: impl IntoIterator<Item = impl Into<datafusion_expr::select_expr::SelectExpr>>,
    dialect: &impl UnparserDialect,
) -> Statement {
    let plan = table_scan(Some(table_name), &table_schema, None)
        .unwrap()
        .project(expr)
        .unwrap()
        .build()
        .unwrap();
    let unparser = Unparser::new(dialect);
    unparser.plan_to_sql(&plan).unwrap()
}

#[test]
fn test_table_scan_with_none_projection_in_plan_to_sql_1() {
    let schema = test_schema();
    let table_name = "catalog.schema.table";
    let plan = table_scan_with_empty_projection_and_none_projection_helper(
        table_name, schema, None,
    );
    let sql = plan_to_sql(&plan).unwrap();
    assert_snapshot!(
        sql,
        @r#"SELECT * FROM "catalog"."schema"."table""#
    );
}

#[test]
fn test_table_scan_with_none_projection_in_plan_to_sql_2() {
    let schema = test_schema();
    let table_name = "schema.table";
    let plan = table_scan_with_empty_projection_and_none_projection_helper(
        table_name, schema, None,
    );
    let sql = plan_to_sql(&plan).unwrap();
    assert_snapshot!(
        sql,
        @r#"SELECT * FROM "schema"."table""#
    );
}

#[test]
fn test_table_scan_with_none_projection_in_plan_to_sql_3() {
    let schema = test_schema();
    let table_name = "table";
    let plan = table_scan_with_empty_projection_and_none_projection_helper(
        table_name, schema, None,
    );
    let sql = plan_to_sql(&plan).unwrap();
    assert_snapshot!(
        sql,
        @r#"SELECT * FROM "table""#
    );
}

#[test]
fn test_table_scan_with_empty_projection_in_plan_to_sql_1() {
    let schema = test_schema();
    let table_name = "catalog.schema.table";
    let plan = table_scan_with_empty_projection_and_none_projection_helper(
        table_name,
        schema,
        Some(vec![]),
    );
    let sql = plan_to_sql(&plan).unwrap();
    assert_snapshot!(
        sql,
        @r#"SELECT 1 FROM "catalog"."schema"."table""#
    );
}

#[test]
fn test_table_scan_with_empty_projection_in_plan_to_sql_2() {
    let schema = test_schema();
    let table_name = "schema.table";
    let plan = table_scan_with_empty_projection_and_none_projection_helper(
        table_name,
        schema,
        Some(vec![]),
    );
    let sql = plan_to_sql(&plan).unwrap();
    assert_snapshot!(
        sql,
        @r#"SELECT 1 FROM "schema"."table""#
    );
}

#[test]
fn test_table_scan_with_empty_projection_in_plan_to_sql_3() {
    let schema = test_schema();
    let table_name = "table";
    let plan = table_scan_with_empty_projection_and_none_projection_helper(
        table_name,
        schema,
        Some(vec![]),
    );
    let sql = plan_to_sql(&plan).unwrap();
    assert_snapshot!(
        sql,
        @r#"SELECT 1 FROM "table""#
    );
}

#[test]
fn test_table_scan_with_empty_projection_in_plan_to_sql_postgres() {
    let schema = test_schema();
    let table_name = "table";
    let plan = table_scan_with_empty_projection_and_none_projection_helper(
        table_name,
        schema,
        Some(vec![]),
    );
    let unparser = Unparser::new(&UnparserPostgreSqlDialect {});
    let sql = unparser.plan_to_sql(&plan).unwrap();
    assert_snapshot!(
        sql,
        @r#"SELECT FROM "table""#
    );
}

#[test]
fn test_table_scan_with_empty_projection_in_plan_to_sql_default_dialect() {
    let schema = test_schema();
    let table_name = "table";
    let plan = table_scan_with_empty_projection_and_none_projection_helper(
        table_name,
        schema,
        Some(vec![]),
    );
    let unparser = Unparser::new(&UnparserDefaultDialect {});
    let sql = unparser.plan_to_sql(&plan).unwrap();
    assert_snapshot!(
        sql,
        @r#"SELECT 1 FROM "table""#
    );
}

#[test]
fn test_table_scan_with_empty_projection_and_filter_postgres() {
    let schema = test_schema();
    let table_name = "table";
    let plan = table_scan_with_filter_and_fetch(
        Some(table_name),
        &schema,
        Some(vec![]),
        vec![col("id").gt(lit(10))],
        None,
    )
    .unwrap()
    .build()
    .unwrap();
    let unparser = Unparser::new(&UnparserPostgreSqlDialect {});
    let sql = unparser.plan_to_sql(&plan).unwrap();
    assert_snapshot!(
        sql,
        @r#"SELECT FROM "table" WHERE ("table"."id" > 10)"#
    );
}

#[test]
fn test_table_scan_with_empty_projection_and_filter_default_dialect() {
    let schema = test_schema();
    let table_name = "table";
    let plan = table_scan_with_filter_and_fetch(
        Some(table_name),
        &schema,
        Some(vec![]),
        vec![col("id").gt(lit(10))],
        None,
    )
    .unwrap()
    .build()
    .unwrap();
    let unparser = Unparser::new(&UnparserDefaultDialect {});
    let sql = unparser.plan_to_sql(&plan).unwrap();
    assert_snapshot!(
        sql,
        @r#"SELECT 1 FROM "table" WHERE ("table".id > 10)"#
    );
}

fn table_scan_with_empty_projection_and_none_projection_helper(
    table_name: &str,
    table_schema: Schema,
    projection: Option<Vec<usize>>,
) -> LogicalPlan {
    table_scan(Some(table_name), &table_schema, projection)
        .unwrap()
        .build()
        .unwrap()
}

#[test]
fn test_pretty_roundtrip() -> Result<()> {
    let schema = Schema::new(vec![
        Field::new("id", DataType::Utf8, false),
        Field::new("age", DataType::Utf8, false),
    ]);

    let df_schema = DFSchema::try_from(schema)?;

    let context = MockContextProvider {
        state: MockSessionState::default(),
    };
    let sql_to_rel = SqlToRel::new(&context);

    let unparser = Unparser::default().with_pretty(true);

    let sql_to_pretty_unparse = vec![
        ("((id < 5) OR (age = 8))", "id < 5 OR age = 8"),
        ("((id + 5) * (age * 8))", "(id + 5) * age * 8"),
        ("(3 + (5 * 6) * 3)", "3 + 5 * 6 * 3"),
        ("((3 * (5 + 6)) * 3)", "3 * (5 + 6) * 3"),
        ("((3 AND (5 OR 6)) * 3)", "(3 AND (5 OR 6)) * 3"),
        ("((3 + (5 + 6)) * 3)", "(3 + 5 + 6) * 3"),
        ("((3 + (5 + 6)) + 3)", "3 + 5 + 6 + 3"),
        ("3 + 5 + 6 + 3", "3 + 5 + 6 + 3"),
        ("3 + (5 + (6 + 3))", "3 + 5 + 6 + 3"),
        ("3 + ((5 + 6) + 3)", "3 + 5 + 6 + 3"),
        ("(3 + 5) + (6 + 3)", "3 + 5 + 6 + 3"),
        ("((3 + 5) + (6 + 3))", "3 + 5 + 6 + 3"),
        (
            "((id > 10) OR (age BETWEEN 10 AND 20))",
            "id > 10 OR age BETWEEN 10 AND 20",
        ),
        (
            "((id > 10) * (age BETWEEN 10 AND 20))",
            "(id > 10) * (age BETWEEN 10 AND 20)",
        ),
        ("id - (age - 8)", "id - (age - 8)"),
        ("((id - age) - 8)", "id - age - 8"),
        ("(id OR (age - 8))", "id OR age - 8"),
        ("(id / (age - 8))", "id / (age - 8)"),
        ("((id / age) * 8)", "id / age * 8"),
        ("((age + 10) < 20) IS TRUE", "(age + 10 < 20) IS TRUE"),
        (
            "(20 > (age + 5)) IS NOT FALSE",
            "(20 > age + 5) IS NOT FALSE",
        ),
        ("(true AND false) IS FALSE", "(true AND false) IS FALSE"),
        ("true AND (false IS FALSE)", "true AND false IS FALSE"),
    ];

    for (sql, pretty) in sql_to_pretty_unparse.iter() {
        let sql_expr = Parser::new(&GenericDialect {})
            .try_with_sql(sql)?
            .parse_expr()?;
        let expr =
            sql_to_rel.sql_to_expr(sql_expr, &df_schema, &mut PlannerContext::new())?;
        let round_trip_sql = unparser.expr_to_sql(&expr)?.to_string();
        assert_eq!((*pretty).to_string(), round_trip_sql);

        // verify that the pretty string parses to the same underlying Expr
        let pretty_sql_expr = Parser::new(&GenericDialect {})
            .try_with_sql(pretty)?
            .parse_expr()?;

        let pretty_expr = sql_to_rel.sql_to_expr(
            pretty_sql_expr,
            &df_schema,
            &mut PlannerContext::new(),
        )?;

        assert_eq!(expr.to_string(), pretty_expr.to_string());
    }

    Ok(())
}

fn generate_round_trip_statement<D>(dialect: D, sql: &str) -> Statement
where
    D: Dialect,
{
    let statement = Parser::new(&dialect)
        .try_with_sql(sql)
        .unwrap()
        .parse_statement()
        .unwrap();

    let context = MockContextProvider {
        state: MockSessionState::default()
            .with_aggregate_function(sum_udaf())
            .with_aggregate_function(max_udaf())
            .with_aggregate_function(grouping_udaf())
            .with_window_function(rank_udwf())
            .with_scalar_function(Arc::new(unicode::substr().as_ref().clone()))
            .with_scalar_function(make_array_udf())
            .with_expr_planner(Arc::new(CoreFunctionPlanner::default()))
            .with_expr_planner(Arc::new(UnicodeFunctionPlanner))
            .with_expr_planner(Arc::new(NestedFunctionPlanner))
            .with_expr_planner(Arc::new(FieldAccessPlanner)),
    };
    let sql_to_rel = SqlToRel::new(&context);
    let plan = sql_to_rel.sql_statement_to_plan(statement).unwrap();

    plan_to_sql(&plan).unwrap()
}

#[test]
fn test_table_scan_alias() -> Result<()> {
    let schema = Schema::new(vec![
        Field::new("id", DataType::Utf8, false),
        Field::new("age", DataType::Utf8, false),
    ]);

    let plan = table_scan(Some("t1"), &schema, None)?
        .project(vec![col("id")])?
        .alias("a")?
        .build()?;
    let sql = plan_to_sql(&plan)?;
    assert_snapshot!(
        sql,
        @"SELECT * FROM (SELECT t1.id FROM t1) AS a"
    );

    let plan = table_scan(Some("t1"), &schema, None)?
        .project(vec![col("id")])?
        .alias("a")?
        .build()?;

    let sql = plan_to_sql(&plan)?;
    assert_snapshot!(
        sql,
        @"SELECT * FROM (SELECT t1.id FROM t1) AS a"
    );

    let plan = table_scan(Some("t1"), &schema, None)?
        .filter(col("id").gt(lit(5)))?
        .project(vec![col("id")])?
        .alias("a")?
        .build()?;
    let sql = plan_to_sql(&plan)?;
    assert_snapshot!(
        sql,
        @"SELECT * FROM (SELECT t1.id FROM t1 WHERE (t1.id > 5)) AS a"
    );

    let table_scan_with_two_filter = table_scan_with_filters(
        Some("t1"),
        &schema,
        None,
        vec![col("id").gt(lit(1)), col("age").lt(lit(2))],
    )?
    .project(vec![col("id")])?
    .alias("a")?
    .build()?;
    let table_scan_with_two_filter = plan_to_sql(&table_scan_with_two_filter)?;
    assert_snapshot!(
        table_scan_with_two_filter,
        @"SELECT a.id FROM t1 AS a WHERE ((a.id > 1) AND (a.age < 2))"
    );

    let table_scan_with_fetch =
        table_scan_with_filter_and_fetch(Some("t1"), &schema, None, vec![], Some(10))?
            .project(vec![col("id")])?
            .alias("a")?
            .build()?;
    let table_scan_with_fetch = plan_to_sql(&table_scan_with_fetch)?;
    assert_snapshot!(
        table_scan_with_fetch,
        @"SELECT a.id FROM (SELECT * FROM t1 LIMIT 10) AS a"
    );

    let table_scan_with_pushdown_all = table_scan_with_filter_and_fetch(
        Some("t1"),
        &schema,
        Some(vec![0, 1]),
        vec![col("id").gt(lit(1))],
        Some(10),
    )?
    .project(vec![col("id")])?
    .alias("a")?
    .build()?;
    let table_scan_with_pushdown_all = plan_to_sql(&table_scan_with_pushdown_all)?;
    assert_snapshot!(
        table_scan_with_pushdown_all,
        @"SELECT a.id FROM (SELECT a.id, a.age FROM t1 AS a WHERE (a.id > 1) LIMIT 10) AS a"
    );
    Ok(())
}

#[test]
fn test_table_scan_pushdown() -> Result<()> {
    let schema = Schema::new(vec![
        Field::new("id", DataType::Utf8, false),
        Field::new("age", DataType::Utf8, false),
    ]);
    let scan_with_projection =
        table_scan(Some("t1"), &schema, Some(vec![0, 1]))?.build()?;
    let scan_with_projection = plan_to_sql(&scan_with_projection)?;
    assert_snapshot!(
        scan_with_projection,
        @"SELECT t1.id, t1.age FROM t1"
    );

    let scan_with_projection = table_scan(Some("t1"), &schema, Some(vec![1]))?.build()?;
    let scan_with_projection = plan_to_sql(&scan_with_projection)?;
    assert_snapshot!(
        scan_with_projection,
        @"SELECT t1.age FROM t1"
    );

    let scan_with_no_projection = table_scan(Some("t1"), &schema, None)?.build()?;
    let scan_with_no_projection = plan_to_sql(&scan_with_no_projection)?;
    assert_snapshot!(
        scan_with_no_projection,
        @"SELECT * FROM t1"
    );

    let table_scan_with_projection_alias =
        table_scan(Some("t1"), &schema, Some(vec![0, 1]))?
            .alias("ta")?
            .build()?;
    let table_scan_with_projection_alias =
        plan_to_sql(&table_scan_with_projection_alias)?;
    assert_snapshot!(
        table_scan_with_projection_alias,
        @"SELECT ta.id, ta.age FROM t1 AS ta"
    );

    let table_scan_with_projection_alias =
        table_scan(Some("t1"), &schema, Some(vec![1]))?
            .alias("ta")?
            .build()?;
    let table_scan_with_projection_alias =
        plan_to_sql(&table_scan_with_projection_alias)?;
    assert_snapshot!(
        table_scan_with_projection_alias,
        @"SELECT ta.age FROM t1 AS ta"
    );

    let table_scan_with_no_projection_alias = table_scan(Some("t1"), &schema, None)?
        .alias("ta")?
        .build()?;
    let table_scan_with_no_projection_alias =
        plan_to_sql(&table_scan_with_no_projection_alias)?;
    assert_snapshot!(
        table_scan_with_no_projection_alias,
        @"SELECT * FROM t1 AS ta"
    );

    let query_from_table_scan_with_projection = LogicalPlanBuilder::from(
        table_scan(Some("t1"), &schema, Some(vec![0, 1]))?.build()?,
    )
    .project(vec![col("id"), col("age")])?
    .build()?;
    let query_from_table_scan_with_projection =
        plan_to_sql(&query_from_table_scan_with_projection)?;
    assert_snapshot!(
        query_from_table_scan_with_projection,
        @"SELECT t1.id, t1.age FROM t1"
    );

    let query_from_table_scan_with_two_projections = LogicalPlanBuilder::from(
        table_scan(Some("t1"), &schema, Some(vec![0, 1]))?.build()?,
    )
    .project(vec![col("id"), col("age")])?
    .project(vec![wildcard()])?
    .build()?;
    let query_from_table_scan_with_two_projections =
        plan_to_sql(&query_from_table_scan_with_two_projections)?;
    assert_snapshot!(
        query_from_table_scan_with_two_projections,
        @"SELECT t1.id, t1.age FROM (SELECT t1.id, t1.age FROM t1)"
    );

    let table_scan_with_filter = table_scan_with_filters(
        Some("t1"),
        &schema,
        None,
        vec![col("id").gt(col("age"))],
    )?
    .build()?;
    let table_scan_with_filter = plan_to_sql(&table_scan_with_filter)?;
    assert_snapshot!(
        table_scan_with_filter,
        @"SELECT * FROM t1 WHERE (t1.id > t1.age)"
    );

    let table_scan_with_two_filter = table_scan_with_filters(
        Some("t1"),
        &schema,
        None,
        vec![col("id").gt(lit(1)), col("age").lt(lit(2))],
    )?
    .build()?;
    let table_scan_with_two_filter = plan_to_sql(&table_scan_with_two_filter)?;
    assert_snapshot!(
        table_scan_with_two_filter,
        @"SELECT * FROM t1 WHERE ((t1.id > 1) AND (t1.age < 2))"
    );

    let table_scan_with_filter_alias = table_scan_with_filters(
        Some("t1"),
        &schema,
        None,
        vec![col("id").gt(col("age"))],
    )?
    .alias("ta")?
    .build()?;
    let table_scan_with_filter_alias = plan_to_sql(&table_scan_with_filter_alias)?;
    assert_snapshot!(
        table_scan_with_filter_alias,
        @"SELECT * FROM t1 AS ta WHERE (ta.id > ta.age)"
    );

    let table_scan_with_projection_and_filter = table_scan_with_filters(
        Some("t1"),
        &schema,
        Some(vec![0, 1]),
        vec![col("id").gt(col("age"))],
    )?
    .build()?;
    let table_scan_with_projection_and_filter =
        plan_to_sql(&table_scan_with_projection_and_filter)?;
    assert_snapshot!(
        table_scan_with_projection_and_filter,
        @"SELECT t1.id, t1.age FROM t1 WHERE (t1.id > t1.age)"
    );

    let table_scan_with_projection_and_filter = table_scan_with_filters(
        Some("t1"),
        &schema,
        Some(vec![1]),
        vec![col("id").gt(col("age"))],
    )?
    .build()?;
    let table_scan_with_projection_and_filter =
        plan_to_sql(&table_scan_with_projection_and_filter)?;
    assert_snapshot!(
        table_scan_with_projection_and_filter,
        @"SELECT t1.age FROM t1 WHERE (t1.id > t1.age)"
    );

    let table_scan_with_inline_fetch =
        table_scan_with_filter_and_fetch(Some("t1"), &schema, None, vec![], Some(10))?
            .build()?;
    let table_scan_with_inline_fetch = plan_to_sql(&table_scan_with_inline_fetch)?;
    assert_snapshot!(
        table_scan_with_inline_fetch,
        @"SELECT * FROM t1 LIMIT 10"
    );

    let table_scan_with_projection_and_inline_fetch = table_scan_with_filter_and_fetch(
        Some("t1"),
        &schema,
        Some(vec![0, 1]),
        vec![],
        Some(10),
    )?
    .build()?;
    let table_scan_with_projection_and_inline_fetch =
        plan_to_sql(&table_scan_with_projection_and_inline_fetch)?;
    assert_snapshot!(
        table_scan_with_projection_and_inline_fetch,
        @"SELECT t1.id, t1.age FROM t1 LIMIT 10"
    );

    let table_scan_with_all = table_scan_with_filter_and_fetch(
        Some("t1"),
        &schema,
        Some(vec![0, 1]),
        vec![col("id").gt(col("age"))],
        Some(10),
    )?
    .build()?;
    let table_scan_with_all = plan_to_sql(&table_scan_with_all)?;
    assert_snapshot!(
        table_scan_with_all,
        @"SELECT t1.id, t1.age FROM t1 WHERE (t1.id > t1.age) LIMIT 10"
    );

    let table_scan_with_additional_filter = table_scan_with_filters(
        Some("t1"),
        &schema,
        None,
        vec![col("id").gt(col("age"))],
    )?
    .filter(col("id").eq(lit(5)))?
    .build()?;
    let table_scan_with_filter = plan_to_sql(&table_scan_with_additional_filter)?;
    assert_snapshot!(
        table_scan_with_filter,
        @"SELECT * FROM t1 WHERE (t1.id = 5) AND (t1.id > t1.age)"
    );

    Ok(())
}

#[test]
fn test_sort_with_push_down_fetch() -> Result<()> {
    let schema = Schema::new(vec![
        Field::new("id", DataType::Utf8, false),
        Field::new("age", DataType::Utf8, false),
    ]);

    let plan = table_scan(Some("t1"), &schema, None)?
        .project(vec![col("id"), col("age")])?
        .sort_with_limit(vec![col("age").sort(true, true)], Some(10))?
        .build()?;

    let sql = plan_to_sql(&plan)?;
    assert_snapshot!(
        sql,
        @"SELECT t1.id, t1.age FROM t1 ORDER BY t1.age ASC NULLS FIRST LIMIT 10"
    );
    Ok(())
}

#[test]
fn test_sort_with_scalar_fn_and_push_down_fetch() -> Result<()> {
    let schema = Schema::new(vec![
        Field::new("search_phrase", DataType::Utf8, false),
        Field::new("event_time", DataType::Utf8, false),
    ]);

    let substr_udf = unicode::substr();

    // Build a plan that mimics the DF52 optimizer output:
    // Projection(search_phrase) → Sort(substr(event_time), fetch=10)
    //   → Projection(search_phrase, event_time) → Filter → TableScan
    // This triggers a subquery because the outer projection differs from the inner one.
    // The ORDER BY scalar function must not reference the inner table qualifier.
    let plan = table_scan(Some("t1"), &schema, None)?
        .filter(col("search_phrase").not_eq(lit("")))?
        .project(vec![col("search_phrase"), col("event_time")])?
        .sort_with_limit(
            vec![
                substr_udf
                    .call(vec![col("event_time"), lit(1), lit(5)])
                    .sort(true, true),
            ],
            Some(10),
        )?
        .project(vec![col("search_phrase")])?
        .build()?;

    let sql = plan_to_sql(&plan)?;
    assert_snapshot!(
        sql,
        @"SELECT t1.search_phrase FROM (SELECT t1.search_phrase, t1.event_time FROM t1 WHERE (t1.search_phrase <> '') ORDER BY substr(t1.event_time, 1, 5) ASC NULLS FIRST LIMIT 10)"
    );
    Ok(())
}

#[test]
fn test_join_with_table_scan_filters() -> Result<()> {
    let schema_left = Schema::new(vec![
        Field::new("id", DataType::Utf8, false),
        Field::new("name", DataType::Utf8, false),
    ]);

    let schema_right = Schema::new(vec![
        Field::new("id", DataType::Utf8, false),
        Field::new("age", DataType::Utf8, false),
    ]);

    let left_plan = table_scan_with_filters(
        Some("left_table"),
        &schema_left,
        None,
        vec![col("name").like(lit("some_name"))],
    )?
    .alias("left")?
    .build()?;

    let right_plan = table_scan_with_filters(
        Some("right_table"),
        &schema_right,
        None,
        vec![col("age").gt(lit(10))],
    )?
    .build()?;

    let join_plan_with_filter = LogicalPlanBuilder::from(left_plan.clone())
        .join(
            right_plan.clone(),
            datafusion_expr::JoinType::Inner,
            (vec!["left.id"], vec!["right_table.id"]),
            Some(col("left.id").gt(lit(5))),
        )?
        .build()?;

    let sql = plan_to_sql(&join_plan_with_filter)?;
    assert_snapshot!(
        sql,
        @r#"SELECT * FROM left_table AS "left" INNER JOIN right_table ON "left".id = right_table.id AND ("left".id > 5) WHERE "left"."name" LIKE 'some_name' AND (age > 10)"#
    );

    let join_plan_no_filter = LogicalPlanBuilder::from(left_plan.clone())
        .join(
            right_plan,
            datafusion_expr::JoinType::Inner,
            (vec!["left.id"], vec!["right_table.id"]),
            None,
        )?
        .build()?;

    let sql = plan_to_sql(&join_plan_no_filter)?;
    assert_snapshot!(
        sql,
        @r#"SELECT * FROM left_table AS "left" INNER JOIN right_table ON "left".id = right_table.id WHERE "left"."name" LIKE 'some_name' AND (age > 10)"#
    );

    let right_plan_with_filter = table_scan_with_filters(
        Some("right_table"),
        &schema_right,
        None,
        vec![col("age").gt(lit(10))],
    )?
    .filter(col("right_table.name").eq(lit("before_join_filter_val")))?
    .build()?;

    let join_plan_multiple_filters = LogicalPlanBuilder::from(left_plan.clone())
        .join(
            right_plan_with_filter,
            datafusion_expr::JoinType::Inner,
            (vec!["left.id"], vec!["right_table.id"]),
            Some(col("left.id").gt(lit(5))),
        )?
        .filter(col("left.name").eq(lit("after_join_filter_val")))?
        .build()?;

    let sql = plan_to_sql(&join_plan_multiple_filters)?;
    assert_snapshot!(
        sql,
        @r#"SELECT * FROM left_table AS "left" INNER JOIN right_table ON "left".id = right_table.id AND ("left".id > 5) WHERE ("left"."name" = 'after_join_filter_val') AND "left"."name" LIKE 'some_name' AND (right_table."name" = 'before_join_filter_val') AND (age > 10)"#
    );

    let right_plan_with_filter_schema = table_scan_with_filters(
        Some("right_table"),
        &schema_right,
        None,
        vec![
            col("right_table.age").gt(lit(10)),
            col("right_table.age").lt(lit(11)),
        ],
    )?
    .build()?;
    let right_plan_with_duplicated_filter =
        LogicalPlanBuilder::from(right_plan_with_filter_schema.clone())
            .filter(col("right_table.age").gt(lit(10)))?
            .build()?;

    let join_plan_duplicated_filter = LogicalPlanBuilder::from(left_plan)
        .join(
            right_plan_with_duplicated_filter,
            datafusion_expr::JoinType::Inner,
            (vec!["left.id"], vec!["right_table.id"]),
            Some(col("left.id").gt(lit(5))),
        )?
        .build()?;

    let sql = plan_to_sql(&join_plan_duplicated_filter)?;
    assert_snapshot!(
        sql,
        @r#"SELECT * FROM left_table AS "left" INNER JOIN right_table ON "left".id = right_table.id AND ("left".id > 5) WHERE "left"."name" LIKE 'some_name' AND (right_table.age > 10) AND (right_table.age < 11)"#
    );

    // Inner join with a scalar subquery in table_scan_filters. The subquery filter should appear in WHERE, not in JOIN ON,
    // since dialects like BigQuery reject subqueries in join predicates.
    let schema_subquery = Schema::new(vec![Field::new("id", DataType::Utf8, false)]);
    let subquery_plan = table_scan(Some("subquery_table"), &schema_subquery, None)?
        .aggregate(vec![] as Vec<Expr>, vec![max(col("subquery_table.id"))])?
        .build()?;
    let right_plan_with_subquery = table_scan_with_filters(
        Some("right_table"),
        &schema_right,
        None,
        vec![col("right_table.id").eq(scalar_subquery(Arc::new(subquery_plan)))],
    )?
    .build()?;

    let left_plan =
        table_scan(Some("left_table"), &schema_left, Some(vec![0, 1]))?.build()?;

    let join_plan_subquery_filter = LogicalPlanBuilder::from(left_plan)
        .join(
            right_plan_with_subquery,
            datafusion_expr::JoinType::Inner,
            (vec!["left_table.id"], vec!["right_table.id"]),
            None,
        )?
        .build()?;

    let sql = plan_to_sql(&join_plan_subquery_filter)?;
    assert_snapshot!(
        sql,
        @r#"SELECT left_table.id, left_table."name" FROM left_table INNER JOIN right_table ON left_table.id = right_table.id WHERE (right_table.id = (SELECT max(subquery_table.id) FROM subquery_table))"#
    );

    // Inner join with an IN subquery in table_scan_filters.
    let subquery_plan_in = table_scan(Some("subquery_table"), &schema_subquery, None)?
        .project(vec![col("subquery_table.id")])?
        .build()?;
    let right_plan_with_in = table_scan_with_filters(
        Some("right_table"),
        &schema_right,
        None,
        vec![in_subquery(
            col("right_table.id"),
            Arc::new(subquery_plan_in),
        )],
    )?
    .build()?;

    let left_plan_in =
        table_scan(Some("left_table"), &schema_left, Some(vec![0, 1]))?.build()?;

    let join_plan_in_subquery = LogicalPlanBuilder::from(left_plan_in)
        .join(
            right_plan_with_in,
            datafusion_expr::JoinType::Inner,
            (vec!["left_table.id"], vec!["right_table.id"]),
            None,
        )?
        .build()?;

    let sql = plan_to_sql(&join_plan_in_subquery)?;
    assert_snapshot!(
        sql,
        @r#"SELECT left_table.id, left_table."name" FROM left_table INNER JOIN right_table ON left_table.id = right_table.id WHERE right_table.id IN (SELECT subquery_table.id FROM subquery_table)"#
    );

    // Inner join with an EXISTS subquery in table_scan_filters.
    let subquery_plan_exists =
        table_scan(Some("subquery_table"), &schema_subquery, None)?
            .filter(col("subquery_table.id").eq(col("right_table.id")))?
            .build()?;
    let right_plan_with_exists = table_scan_with_filters(
        Some("right_table"),
        &schema_right,
        None,
        vec![exists(Arc::new(subquery_plan_exists))],
    )?
    .build()?;

    let left_plan_exists =
        table_scan(Some("left_table"), &schema_left, Some(vec![0, 1]))?.build()?;

    let join_plan_exists = LogicalPlanBuilder::from(left_plan_exists)
        .join(
            right_plan_with_exists,
            datafusion_expr::JoinType::Inner,
            (vec!["left_table.id"], vec!["right_table.id"]),
            None,
        )?
        .build()?;

    let sql = plan_to_sql(&join_plan_exists)?;
    assert_snapshot!(
        sql,
        @r#"SELECT left_table.id, left_table."name" FROM left_table INNER JOIN right_table ON left_table.id = right_table.id WHERE EXISTS (SELECT * FROM subquery_table WHERE (subquery_table.id = right_table.id))"#
    );

    Ok(())
}

#[test]
fn test_interval_lhs_eq() {
    let statement = generate_round_trip_statement(
        GenericDialect {},
        "select interval '2 seconds' = interval '2 seconds'",
    );
    assert_snapshot!(
        statement,
        @"SELECT (INTERVAL '2.000000000 SECS' = INTERVAL '2.000000000 SECS')"
    )
}

#[test]
fn test_interval_lhs_lt() {
    let statement = generate_round_trip_statement(
        GenericDialect {},
        "select interval '2 seconds' < interval '2 seconds'",
    );
    assert_snapshot!(
        statement,
        @"SELECT (INTERVAL '2.000000000 SECS' < INTERVAL '2.000000000 SECS')"
    )
}

#[test]
fn test_without_offset() {
    let statement = generate_round_trip_statement(MySqlDialect {}, "select 1");
    assert_snapshot!(
        statement,
        @"SELECT 1"
    )
}

#[test]
fn test_cast_to_tinyint() -> Result<(), DataFusionError> {
    roundtrip_statement_with_dialect_helper!(
        sql: "select cast(3 as tinyint)",
        parser_dialect: GenericDialect {},
        unparser_dialect: UnparserPostgreSqlDialect {},
        expected: @"SELECT CAST(3 AS SMALLINT)",
    );
    Ok(())
}

#[test]
fn test_cast_to_tinyint_default_dialect() -> Result<(), DataFusionError> {
    roundtrip_statement_with_dialect_helper!(
        sql: "select cast(3 as tinyint)",
        parser_dialect: GenericDialect {},
        unparser_dialect: UnparserDefaultDialect {},
        expected: @"SELECT CAST(3 AS TINYINT)",
    );
    Ok(())
}

#[test]
fn test_with_offset0() {
    let statement = generate_round_trip_statement(MySqlDialect {}, "select 1 offset 0");
    assert_snapshot!(
        statement,
        @"SELECT 1 OFFSET 0"
    )
}

#[test]
fn test_with_offset95() {
    let statement = generate_round_trip_statement(MySqlDialect {}, "select 1 offset 95");
    assert_snapshot!(
        statement,
        @"SELECT 1 OFFSET 95"
    )
}

#[test]
fn test_order_by_to_sql_1() {
    // order by aggregation function
    let statement = generate_round_trip_statement(
        GenericDialect {},
        r#"SELECT id, first_name, SUM(id) FROM person GROUP BY id, first_name ORDER BY SUM(id) ASC, first_name DESC, id, first_name LIMIT 10"#,
    );
    assert_snapshot!(
        statement,
        @"SELECT person.id, person.first_name, sum(person.id) FROM person GROUP BY person.id, person.first_name ORDER BY sum(person.id) ASC NULLS LAST, person.first_name DESC NULLS FIRST, person.id ASC NULLS LAST, person.first_name ASC NULLS LAST LIMIT 10"
    );
}

#[test]
fn test_order_by_to_sql_2() {
    // order by aggregation function alias
    let statement = generate_round_trip_statement(
        GenericDialect {},
        r#"SELECT id, first_name, SUM(id) as total_sum FROM person GROUP BY id, first_name ORDER BY total_sum ASC, first_name DESC, id, first_name LIMIT 10"#,
    );
    assert_snapshot!(
        statement,
        @"SELECT person.id, person.first_name, sum(person.id) AS total_sum FROM person GROUP BY person.id, person.first_name ORDER BY total_sum ASC NULLS LAST, person.first_name DESC NULLS FIRST, person.id ASC NULLS LAST, person.first_name ASC NULLS LAST LIMIT 10"
    );
}

#[test]
fn test_order_by_to_sql_3() {
    let statement = generate_round_trip_statement(
        GenericDialect {},
        r#"SELECT id, first_name, substr(first_name,0,5) FROM person ORDER BY id, substr(first_name,0,5)"#,
    );
    assert_snapshot!(
        statement,
        @"SELECT person.id, person.first_name, substr(person.first_name, 0, 5) FROM person ORDER BY person.id ASC NULLS LAST, substr(person.first_name, 0, 5) ASC NULLS LAST"
    );
}

#[test]
fn test_complex_order_by_with_grouping() -> Result<()> {
    let state = MockSessionState::default().with_aggregate_function(grouping_udaf());

    let context = MockContextProvider { state };
    let sql_to_rel = SqlToRel::new(&context);

    // This SQL is based on a simplified version of the TPC-DS query 36.
    let statement = Parser::new(&GenericDialect {})
        .try_with_sql(
            r#"SELECT
            j1_id,
            j1_string,
            grouping(j1_id) + grouping(j1_string) as lochierarchy
        FROM
            j1
        GROUP BY
            ROLLUP (j1_id, j1_string)
        ORDER BY
            grouping(j1_id) + grouping(j1_string) DESC,
            CASE
                WHEN grouping(j1_id) + grouping(j1_string) = 0 THEN j1_id
            END
        LIMIT 100"#,
        )?
        .parse_statement()?;

    let plan = sql_to_rel.sql_statement_to_plan(statement)?;
    let unparser = Unparser::default();
    let sql = unparser.plan_to_sql(&plan)?;
    insta::with_settings!({
        filters => vec![
            // Force a deterministic order for the grouping pairs
            (r#"grouping\(j1\.(?:j1_id|j1_string)\),\s*grouping\(j1\.(?:j1_id|j1_string)\)"#, "grouping(j1.j1_string), grouping(j1.j1_id)")
        ],
    }, {
        assert_snapshot!(
            sql,
            @"SELECT j1.j1_id, j1.j1_string, (grouping(j1.j1_id) + grouping(j1.j1_string)) AS lochierarchy FROM j1 GROUP BY ROLLUP (j1.j1_id, j1.j1_string) ORDER BY lochierarchy DESC NULLS FIRST, CASE WHEN (lochierarchy = 0) THEN j1.j1_id END ASC NULLS LAST LIMIT 100"
        );
    });

    Ok(())
}

#[test]
fn test_aggregation_to_sql() {
    let sql = r#"SELECT id, first_name,
        SUM(id) AS total_sum,
        SUM(id) OVER (PARTITION BY first_name ROWS BETWEEN 5 PRECEDING AND 2 FOLLOWING) AS moving_sum,
        SUM(id) FILTER (WHERE id > 50 AND first_name = 'John') OVER (PARTITION BY first_name ROWS BETWEEN 5 PRECEDING AND 2 FOLLOWING) AS filtered_sum,
        MAX(SUM(id)) OVER (PARTITION BY first_name ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS max_total,
        rank() OVER (PARTITION BY grouping(id) + grouping(age), CASE WHEN grouping(age) = 0 THEN id END ORDER BY sum(id) DESC) AS rank_within_parent_1,
        rank() OVER (PARTITION BY grouping(age) + grouping(id), CASE WHEN (CAST(grouping(age) AS BIGINT) = 0) THEN id END ORDER BY sum(id) DESC) AS rank_within_parent_2
        FROM person
        GROUP BY id, first_name"#;
    let statement = generate_round_trip_statement(GenericDialect {}, sql);
    assert_snapshot!(
        statement,
        @"SELECT person.id, person.first_name, sum(person.id) AS total_sum, sum(person.id) OVER (PARTITION BY person.first_name ROWS BETWEEN 5 PRECEDING AND 2 FOLLOWING) AS moving_sum, sum(person.id) FILTER (WHERE ((person.id > 50) AND (person.first_name = 'John'))) OVER (PARTITION BY person.first_name ROWS BETWEEN 5 PRECEDING AND 2 FOLLOWING) AS filtered_sum, max(sum(person.id)) OVER (PARTITION BY person.first_name ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS max_total, rank() OVER (PARTITION BY (grouping(person.id) + grouping(person.age)), CASE WHEN (grouping(person.age) = 0) THEN person.id END ORDER BY sum(person.id) DESC NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS rank_within_parent_1, rank() OVER (PARTITION BY (grouping(person.age) + grouping(person.id)), CASE WHEN (CAST(grouping(person.age) AS BIGINT) = 0) THEN person.id END ORDER BY sum(person.id) DESC NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS rank_within_parent_2 FROM person GROUP BY person.id, person.first_name",
    );
}

#[test]
fn test_unnest_to_sql_1() {
    let statement = generate_round_trip_statement(
        GenericDialect {},
        r#"SELECT unnest(array_col) as u1, struct_col, array_col FROM unnest_table WHERE array_col != NULL ORDER BY struct_col, array_col"#,
    );
    assert_snapshot!(
        statement,
        @"SELECT UNNEST(unnest_table.array_col) AS u1, unnest_table.struct_col, unnest_table.array_col FROM unnest_table WHERE (unnest_table.array_col <> NULL) ORDER BY unnest_table.struct_col ASC NULLS LAST, unnest_table.array_col ASC NULLS LAST"
    );
}

#[test]
fn test_unnest_to_sql_2() {
    let statement = generate_round_trip_statement(
        GenericDialect {},
        r#"SELECT unnest(make_array(1, 2, 2, 5, NULL)) as u1"#,
    );
    assert_snapshot!(
        statement,
        @"SELECT UNNEST([1, 2, 2, 5, NULL]) AS u1"
    );
}

#[test]
fn test_join_with_no_conditions() {
    let statement = generate_round_trip_statement(
        GenericDialect {},
        "SELECT j1.j1_id, j1.j1_string FROM j1 CROSS JOIN j2",
    );
    assert_snapshot!(
        statement,
        @"SELECT j1.j1_id, j1.j1_string FROM j1 CROSS JOIN j2"
    );
}

#[derive(Debug, PartialEq, Eq, Hash, PartialOrd)]
struct MockUserDefinedLogicalPlan {
    input: LogicalPlan,
}

impl UserDefinedLogicalNodeCore for MockUserDefinedLogicalPlan {
    fn name(&self) -> &str {
        "MockUserDefinedLogicalPlan"
    }

    fn inputs(&self) -> Vec<&LogicalPlan> {
        vec![&self.input]
    }

    fn schema(&self) -> &DFSchemaRef {
        self.input.schema()
    }

    fn expressions(&self) -> Vec<Expr> {
        vec![]
    }

    fn fmt_for_explain(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
        write!(f, "MockUserDefinedLogicalPlan")
    }

    fn with_exprs_and_inputs(
        &self,
        _exprs: Vec<Expr>,
        inputs: Vec<LogicalPlan>,
    ) -> Result<Self> {
        Ok(MockUserDefinedLogicalPlan {
            input: inputs.into_iter().next().unwrap(),
        })
    }
}

struct MockStatementUnparser {}

impl UserDefinedLogicalNodeUnparser for MockStatementUnparser {
    fn unparse_to_statement(
        &self,
        node: &dyn UserDefinedLogicalNode,
        unparser: &Unparser,
    ) -> Result<UnparseToStatementResult> {
        if let Some(plan) = node.as_any().downcast_ref::<MockUserDefinedLogicalPlan>() {
            let input = unparser.plan_to_sql(&plan.input)?;
            Ok(UnparseToStatementResult::Modified(input))
        } else {
            Ok(UnparseToStatementResult::Unmodified)
        }
    }
}

struct UnusedUnparser {}

impl UserDefinedLogicalNodeUnparser for UnusedUnparser {
    fn unparse(
        &self,
        _node: &dyn UserDefinedLogicalNode,
        _unparser: &Unparser,
        _query: &mut Option<&mut QueryBuilder>,
        _select: &mut Option<&mut SelectBuilder>,
        _relation: &mut Option<&mut RelationBuilder>,
    ) -> Result<UnparseWithinStatementResult> {
        panic!("This should not be called");
    }

    fn unparse_to_statement(
        &self,
        _node: &dyn UserDefinedLogicalNode,
        _unparser: &Unparser,
    ) -> Result<UnparseToStatementResult> {
        panic!("This should not be called");
    }
}

#[test]
fn test_unparse_extension_to_statement() -> Result<()> {
    let dialect = GenericDialect {};
    let statement = Parser::new(&dialect)
        .try_with_sql("SELECT * FROM j1")?
        .parse_statement()?;
    let state = MockSessionState::default();
    let context = MockContextProvider { state };
    let sql_to_rel = SqlToRel::new(&context);
    let plan = sql_to_rel.sql_statement_to_plan(statement)?;

    let extension = MockUserDefinedLogicalPlan { input: plan };
    let extension = LogicalPlan::Extension(Extension {
        node: Arc::new(extension),
    });
    let unparser = Unparser::default().with_extension_unparsers(vec![
        Arc::new(MockStatementUnparser {}),
        Arc::new(UnusedUnparser {}),
    ]);
    let sql = unparser.plan_to_sql(&extension)?;
    assert_snapshot!(
        sql,
        @"SELECT j1.j1_id, j1.j1_string FROM j1"
    );

    if let Some(err) = plan_to_sql(&extension).err() {
        assert_contains!(
            err.to_string(),
            "This feature is not implemented: Unsupported extension node: MockUserDefinedLogicalPlan"
        );
    } else {
        panic!("Expected error");
    }
    Ok(())
}

struct MockSqlUnparser {}

impl UserDefinedLogicalNodeUnparser for MockSqlUnparser {
    fn unparse(
        &self,
        node: &dyn UserDefinedLogicalNode,
        unparser: &Unparser,
        _query: &mut Option<&mut QueryBuilder>,
        _select: &mut Option<&mut SelectBuilder>,
        relation: &mut Option<&mut RelationBuilder>,
    ) -> Result<UnparseWithinStatementResult> {
        if let Some(plan) = node.as_any().downcast_ref::<MockUserDefinedLogicalPlan>() {
            let Statement::Query(input) = unparser.plan_to_sql(&plan.input)? else {
                return Ok(UnparseWithinStatementResult::Unmodified);
            };
            let mut derived_builder = DerivedRelationBuilder::default();
            derived_builder.subquery(input);
            derived_builder.lateral(false);
            if let Some(rel) = relation {
                rel.derived(derived_builder);
            }
        }
        Ok(UnparseWithinStatementResult::Modified)
    }
}

#[test]
fn test_unparse_extension_to_sql() -> Result<()> {
    let dialect = GenericDialect {};
    let statement = Parser::new(&dialect)
        .try_with_sql("SELECT * FROM j1")?
        .parse_statement()?;
    let state = MockSessionState::default();
    let context = MockContextProvider { state };
    let sql_to_rel = SqlToRel::new(&context);
    let plan = sql_to_rel.sql_statement_to_plan(statement)?;

    let extension = MockUserDefinedLogicalPlan { input: plan };
    let extension = LogicalPlan::Extension(Extension {
        node: Arc::new(extension),
    });

    let plan = LogicalPlanBuilder::from(extension)
        .project(vec![col("j1_id").alias("user_id")])?
        .build()?;
    let unparser = Unparser::default().with_extension_unparsers(vec![
        Arc::new(MockSqlUnparser {}),
        Arc::new(UnusedUnparser {}),
    ]);
    let sql = unparser.plan_to_sql(&plan)?;
    assert_snapshot!(
        sql,
        @"SELECT j1.j1_id AS user_id FROM (SELECT j1.j1_id, j1.j1_string FROM j1)"
    );

    if let Some(err) = plan_to_sql(&plan).err() {
        assert_contains!(
            err.to_string(),
            "This feature is not implemented: Unsupported extension node: MockUserDefinedLogicalPlan"
        );
    } else {
        panic!("Expected error")
    }
    Ok(())
}

#[test]
fn test_unparse_optimized_multi_union() -> Result<()> {
    let unparser = Unparser::default();

    let schema = Schema::new(vec![
        Field::new("x", DataType::Int32, false),
        Field::new("y", DataType::Utf8, false),
    ]);

    let dfschema = Arc::new(DFSchema::try_from(schema)?);

    let empty = LogicalPlan::EmptyRelation(EmptyRelation {
        produce_one_row: true,
        schema: dfschema.clone(),
    });

    let plan = LogicalPlan::Union(Union {
        inputs: vec![
            project(empty.clone(), vec![lit(1).alias("x"), lit("a").alias("y")])?.into(),
            project(empty.clone(), vec![lit(1).alias("x"), lit("b").alias("y")])?.into(),
            project(empty.clone(), vec![lit(2).alias("x"), lit("a").alias("y")])?.into(),
            project(empty.clone(), vec![lit(2).alias("x"), lit("c").alias("y")])?.into(),
        ],
        schema: dfschema.clone(),
    });
    assert_snapshot!(
        unparser.plan_to_sql(&plan)?,
        @"SELECT 1 AS x, 'a' AS y UNION ALL SELECT 1 AS x, 'b' AS y UNION ALL SELECT 2 AS x, 'a' AS y UNION ALL SELECT 2 AS x, 'c' AS y"
    );

    let plan = LogicalPlan::Union(Union {
        inputs: vec![
            project(empty.clone(), vec![lit(1).alias("x"), lit("a").alias("y")])?.into(),
        ],
        schema: dfschema.clone(),
    });

    if let Some(err) = plan_to_sql(&plan).err() {
        assert_contains!(err.to_string(), "UNION operator requires at least 2 inputs");
    } else {
        panic!("Expected error")
    }

    Ok(())
}

/// Test unparse the optimized plan from the following SQL:
/// ```
/// SELECT
///   customer_view.c_custkey,
///   customer_view.c_name,
///   customer_view.custkey_plus
/// FROM
///   (
///     SELECT
///       customer.c_custkey,
///       customer.c_name,
///       customer.custkey_plus
///     FROM
///       (
///         SELECT
///           customer.c_custkey,
///           CAST(customer.c_custkey AS BIGINT) + 1 AS custkey_plus,
///           customer.c_name
///         FROM
///           (
///             SELECT
///               customer.c_custkey AS c_custkey,
///               customer.c_name AS c_name
///             FROM
///               customer
///           ) AS customer
///       ) AS customer
///   ) AS customer_view
/// ```
#[test]
fn test_unparse_subquery_alias_with_table_pushdown() -> Result<()> {
    let schema = Schema::new(vec![
        Field::new("c_custkey", DataType::Int32, false),
        Field::new("c_name", DataType::Utf8, false),
    ]);

    let table_scan = table_scan(Some("customer"), &schema, Some(vec![0, 1]))?.build()?;

    let plan = LogicalPlanBuilder::from(table_scan)
        .alias("customer")?
        .project(vec![
            col("customer.c_custkey"),
            cast(col("customer.c_custkey"), DataType::Int64)
                .add(lit(1))
                .alias("custkey_plus"),
            col("customer.c_name"),
        ])?
        .alias("customer")?
        .project(vec![
            col("customer.c_custkey"),
            col("customer.c_name"),
            col("customer.custkey_plus"),
        ])?
        .alias("customer_view")?
        .build()?;

    let unparser = Unparser::default();
    let sql = unparser.plan_to_sql(&plan)?;
    assert_snapshot!(
        sql,
        @"SELECT customer_view.c_custkey, customer_view.c_name, customer_view.custkey_plus FROM (SELECT customer.c_custkey, (CAST(customer.c_custkey AS BIGINT) + 1) AS custkey_plus, customer.c_name FROM (SELECT customer.c_custkey, customer.c_name FROM customer AS customer) AS customer) AS customer_view"
    );
    Ok(())
}

#[test]
fn test_unparse_left_anti_join() -> Result<()> {
    // select t1.d from t1 where c not in (select c from t2)
    let schema = Schema::new(vec![
        Field::new("c", DataType::Int32, false),
        Field::new("d", DataType::Int32, false),
    ]);

    // LeftAnti Join: t1.c = __correlated_sq_1.c
    //   TableScan: t1 projection=[c]
    //   SubqueryAlias: __correlated_sq_1
    //     TableScan: t2 projection=[c]

    let table_scan1 = table_scan(Some("t1"), &schema, Some(vec![0, 1]))?.build()?;
    let table_scan2 = table_scan(Some("t2"), &schema, Some(vec![0]))?.build()?;
    let subquery = subquery_alias(table_scan2, "__correlated_sq_1")?;
    let plan = LogicalPlanBuilder::from(table_scan1)
        .project(vec![col("t1.d")])?
        .join_on(
            subquery,
            datafusion_expr::JoinType::LeftAnti,
            vec![col("t1.c").eq(col("__correlated_sq_1.c"))],
        )?
        .build()?;

    let unparser = Unparser::new(&UnparserPostgreSqlDialect {});
    let sql = unparser.plan_to_sql(&plan)?;
    assert_snapshot!(
        sql,
        @r#"SELECT "t1"."d" FROM "t1" WHERE NOT EXISTS (SELECT 1 FROM "t2" AS "__correlated_sq_1" WHERE ("t1"."c" = "__correlated_sq_1"."c"))"#
    );
    Ok(())
}

#[test]
fn test_unparse_left_semi_join() -> Result<()> {
    // select t1.d from t1 where c in (select c from t2)
    let schema = Schema::new(vec![
        Field::new("c", DataType::Int32, false),
        Field::new("d", DataType::Int32, false),
    ]);

    // LeftSemi Join: t1.c = __correlated_sq_1.c
    //   TableScan: t1 projection=[c]
    //   SubqueryAlias: __correlated_sq_1
    //     TableScan: t2 projection=[c]

    let table_scan1 = table_scan(Some("t1"), &schema, Some(vec![0, 1]))?.build()?;
    let table_scan2 = table_scan(Some("t2"), &schema, Some(vec![0]))?.build()?;
    let subquery = subquery_alias(table_scan2, "__correlated_sq_1")?;
    let plan = LogicalPlanBuilder::from(table_scan1)
        .project(vec![col("t1.d")])?
        .join_on(
            subquery,
            datafusion_expr::JoinType::LeftSemi,
            vec![col("t1.c").eq(col("__correlated_sq_1.c"))],
        )?
        .build()?;

    let unparser = Unparser::new(&UnparserPostgreSqlDialect {});
    let sql = unparser.plan_to_sql(&plan)?;
    assert_snapshot!(
        sql,
        @r#"SELECT "t1"."d" FROM "t1" WHERE EXISTS (SELECT 1 FROM "t2" AS "__correlated_sq_1" WHERE ("t1"."c" = "__correlated_sq_1"."c"))"#
    );
    Ok(())
}

#[test]
fn test_unparse_left_mark_join() -> Result<()> {
    // select t1.d from t1 where t1.d < 0 OR exists (select 1 from t2 where t1.c = t2.c)
    let schema = Schema::new(vec![
        Field::new("c", DataType::Int32, false),
        Field::new("d", DataType::Int32, false),
    ]);
    // Filter: __correlated_sq_1.mark OR t1.d < Int32(0)
    //   Projection: t1.d
    //     LeftMark Join:  Filter: t1.c = __correlated_sq_1.c
    //       TableScan: t1 projection=[c, d]
    //       SubqueryAlias: __correlated_sq_1
    //         TableScan: t2 projection=[c]
    let table_scan1 = table_scan(Some("t1"), &schema, Some(vec![0, 1]))?.build()?;
    let table_scan2 = table_scan(Some("t2"), &schema, Some(vec![0]))?.build()?;
    let subquery = subquery_alias(table_scan2, "__correlated_sq_1")?;
    let plan = LogicalPlanBuilder::from(table_scan1)
        .join_on(
            subquery,
            datafusion_expr::JoinType::LeftMark,
            vec![col("t1.c").eq(col("__correlated_sq_1.c"))],
        )?
        .project(vec![col("t1.d")])?
        .filter(col("mark").or(col("t1.d").lt(lit(0))))?
        .build()?;

    let unparser = Unparser::new(&UnparserPostgreSqlDialect {});
    let sql = unparser.plan_to_sql(&plan)?;
    assert_snapshot!(
        sql,
        @r#"SELECT "t1"."d" FROM "t1" WHERE (EXISTS (SELECT 1 FROM "t2" AS "__correlated_sq_1" WHERE ("t1"."c" = "__correlated_sq_1"."c")) OR ("t1"."d" < 0))"#
    );
    Ok(())
}

#[test]
fn test_unparse_right_semi_join() -> Result<()> {
    // select t2.c, t2.d from t1 right semi join t2 on t1.c = t2.c where t2.c <= 1
    let schema = Schema::new(vec![
        Field::new("c", DataType::Int32, false),
        Field::new("d", DataType::Int32, false),
    ]);
    // Filter: t2.c <= Int64(1)
    //   RightSemi Join: t1.c = t2.c
    //     TableScan: t1 projection=[c, d]
    //     Projection: t2.c, t2.d
    //       TableScan: t2 projection=[c, d]
    let left = table_scan(Some("t1"), &schema, Some(vec![0, 1]))?.build()?;
    let right_table_scan = table_scan(Some("t2"), &schema, Some(vec![0, 1]))?.build()?;
    let right = LogicalPlanBuilder::from(right_table_scan)
        .project(vec![col("c"), col("d")])?
        .build()?;
    let plan = LogicalPlanBuilder::from(left)
        .join(
            right,
            datafusion_expr::JoinType::RightSemi,
            (
                vec![Column::from_qualified_name("t1.c")],
                vec![Column::from_qualified_name("t2.c")],
            ),
            None,
        )?
        .filter(col("t2.c").lt_eq(lit(1i64)))?
        .build()?;
    let unparser = Unparser::new(&UnparserPostgreSqlDialect {});
    let sql = unparser.plan_to_sql(&plan)?;
    assert_snapshot!(
        sql,
        @r#"SELECT "t2"."c", "t2"."d" FROM "t2" WHERE ("t2"."c" <= 1) AND EXISTS (SELECT 1 FROM "t1" WHERE ("t1"."c" = "t2"."c"))"#
    );
    Ok(())
}

#[test]
fn test_unparse_right_anti_join() -> Result<()> {
    // select t2.c, t2.d from t1 right anti join t2 on t1.c = t2.c where t2.c <= 1
    let schema = Schema::new(vec![
        Field::new("c", DataType::Int32, false),
        Field::new("d", DataType::Int32, false),
    ]);
    // Filter: t2.c <= Int64(1)
    //   RightAnti Join: t1.c = t2.c
    //     TableScan: t1 projection=[c, d]
    //     Projection: t2.c, t2.d
    //       TableScan: t2 projection=[c, d]
    let left = table_scan(Some("t1"), &schema, Some(vec![0, 1]))?.build()?;
    let right_table_scan = table_scan(Some("t2"), &schema, Some(vec![0, 1]))?.build()?;
    let right = LogicalPlanBuilder::from(right_table_scan)
        .project(vec![col("c"), col("d")])?
        .build()?;
    let plan = LogicalPlanBuilder::from(left)
        .join(
            right,
            datafusion_expr::JoinType::RightAnti,
            (
                vec![Column::from_qualified_name("t1.c")],
                vec![Column::from_qualified_name("t2.c")],
            ),
            None,
        )?
        .filter(col("t2.c").lt_eq(lit(1i64)))?
        .build()?;
    let unparser = Unparser::new(&UnparserPostgreSqlDialect {});
    let sql = unparser.plan_to_sql(&plan)?;
    assert_snapshot!(
        sql,
        @r#"SELECT "t2"."c", "t2"."d" FROM "t2" WHERE ("t2"."c" <= 1) AND NOT EXISTS (SELECT 1 FROM "t1" WHERE ("t1"."c" = "t2"."c"))"#
    );
    Ok(())
}

#[test]
fn test_unparse_cross_join_with_table_scan_projection() -> Result<()> {
    let schema = Schema::new(vec![
        Field::new("k", DataType::Int32, false),
        Field::new("v", DataType::Int32, false),
    ]);
    // Cross Join:
    //   SubqueryAlias: t1
    //     TableScan: test projection=[v]
    //   SubqueryAlias: t2
    //     TableScan: test projection=[v]
    let table_scan1 = table_scan(Some("test"), &schema, Some(vec![1]))?.build()?;
    let table_scan2 = table_scan(Some("test"), &schema, Some(vec![1]))?.build()?;
    let plan = LogicalPlanBuilder::from(subquery_alias(table_scan1, "t1")?)
        .cross_join(subquery_alias(table_scan2, "t2")?)?
        .build()?;
    let unparser = Unparser::new(&UnparserPostgreSqlDialect {});
    let sql = unparser.plan_to_sql(&plan)?;
    assert_snapshot!(
        sql,
        @r#"SELECT "t1"."v", "t2"."v" FROM "test" AS "t1" CROSS JOIN "test" AS "t2""#
    );
    Ok(())
}

#[test]
fn test_unparse_inner_join_with_table_scan_projection() -> Result<()> {
    let schema = Schema::new(vec![
        Field::new("k", DataType::Int32, false),
        Field::new("v", DataType::Int32, false),
    ]);
    // Inner Join:
    //   SubqueryAlias: t1
    //     TableScan: test projection=[v]
    //   SubqueryAlias: t2
    //     TableScan: test projection=[v]
    let table_scan1 = table_scan(Some("test"), &schema, Some(vec![1]))?.build()?;
    let table_scan2 = table_scan(Some("test"), &schema, Some(vec![1]))?.build()?;
    let plan = LogicalPlanBuilder::from(subquery_alias(table_scan1, "t1")?)
        .join_on(
            subquery_alias(table_scan2, "t2")?,
            datafusion_expr::JoinType::Inner,
            vec![col("t1.v").eq(col("t2.v"))],
        )?
        .build()?;
    let unparser = Unparser::new(&UnparserPostgreSqlDialect {});
    let sql = unparser.plan_to_sql(&plan)?;
    assert_snapshot!(
        sql,
        @r#"SELECT "t1"."v", "t2"."v" FROM "test" AS "t1" INNER JOIN "test" AS "t2" ON ("t1"."v" = "t2"."v")"#
    );
    Ok(())
}

#[test]
fn test_unparse_left_semi_join_with_table_scan_projection() -> Result<()> {
    let schema = Schema::new(vec![
        Field::new("k", DataType::Int32, false),
        Field::new("v", DataType::Int32, false),
    ]);
    // LeftSemi Join:
    //   SubqueryAlias: t1
    //     TableScan: test projection=[v]
    //   SubqueryAlias: t2
    //     TableScan: test projection=[v]
    let table_scan1 = table_scan(Some("test"), &schema, Some(vec![1]))?.build()?;
    let table_scan2 = table_scan(Some("test"), &schema, Some(vec![1]))?.build()?;
    let plan = LogicalPlanBuilder::from(subquery_alias(table_scan1, "t1")?)
        .join_on(
            subquery_alias(table_scan2, "t2")?,
            datafusion_expr::JoinType::LeftSemi,
            vec![col("t1.v").eq(col("t2.v"))],
        )?
        .build()?;
    let unparser = Unparser::new(&UnparserPostgreSqlDialect {});
    let sql = unparser.plan_to_sql(&plan)?;
    assert_snapshot!(
        sql,
        @r#"SELECT "t1"."v" FROM "test" AS "t1" WHERE EXISTS (SELECT 1 FROM "test" AS "t2" WHERE ("t1"."v" = "t2"."v"))"#
    );
    Ok(())
}

#[test]
fn test_unparse_window() -> Result<()> {
    // SubqueryAlias: t
    // Projection: t.k, t.v, rank() PARTITION BY [t.k] ORDER BY [t.v ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW AS r
    //     Filter: rank() PARTITION BY [t.k] ORDER BY [t.v ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW = UInt64(1)
    //     WindowAggr: windowExpr=[[rank() PARTITION BY [t.k] ORDER BY [t.v ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW]]
    //         TableScan: t projection=[k, v]

    let schema = Schema::new(vec![
        Field::new("k", DataType::Int32, false),
        Field::new("v", DataType::Int32, false),
    ]);
    let window_expr = Expr::WindowFunction(Box::new(WindowFunction {
        fun: WindowFunctionDefinition::WindowUDF(rank_udwf()),
        params: WindowFunctionParams {
            args: vec![],
            partition_by: vec![col("k")],
            order_by: vec![col("v").sort(true, true)],
            window_frame: WindowFrame::new(None),
            null_treatment: None,
            distinct: false,
            filter: None,
        },
    }));
    let table = table_scan(Some("test"), &schema, Some(vec![0, 1]))?.build()?;
    let plan = LogicalPlanBuilder::window_plan(table, vec![window_expr.clone()])?;

    let name = plan.schema().fields().last().unwrap().name().clone();
    let plan = LogicalPlanBuilder::from(plan)
        .filter(col(name.clone()).eq(lit(1i64)))?
        .project(vec![col("k"), col("v"), col(name)])?
        .build()?;

    let unparser = Unparser::new(&UnparserPostgreSqlDialect {});
    let sql = unparser.plan_to_sql(&plan)?;
    assert_snapshot!(
        sql,
        @r#"SELECT "test"."k", "test"."v", "rank() PARTITION BY [test.k] ORDER BY [test.v ASC NULLS FIRST] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING" FROM (SELECT "test"."k" AS "k", "test"."v" AS "v", rank() OVER (PARTITION BY "test"."k" ORDER BY "test"."v" ASC NULLS FIRST ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS "rank() PARTITION BY [test.k] ORDER BY [test.v ASC NULLS FIRST] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING" FROM "test") AS "test" WHERE ("rank() PARTITION BY [test.k] ORDER BY [test.v ASC NULLS FIRST] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING" = 1)"#
    );

    let unparser = Unparser::new(&UnparserMySqlDialect {});
    let sql = unparser.plan_to_sql(&plan)?;
    assert_snapshot!(
        sql,
        @"SELECT `test`.`k`, `test`.`v`, `rank() PARTITION BY [test.k] ORDER BY [test.v ASC NULLS FIRST] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING` FROM (SELECT `test`.`k` AS `k`, `test`.`v` AS `v`, rank() OVER (PARTITION BY `test`.`k` ORDER BY `test`.`v` ASC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS `rank() PARTITION BY [test.k] ORDER BY [test.v ASC NULLS FIRST] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING` FROM `test`) AS `test` WHERE (`rank() PARTITION BY [test.k] ORDER BY [test.v ASC NULLS FIRST] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING` = 1)"
    );

    let unparser = Unparser::new(&SqliteDialect {});
    let sql = unparser.plan_to_sql(&plan)?;
    assert_snapshot!(
        sql,
        @"SELECT `test`.`k`, `test`.`v`, `rank() PARTITION BY [test.k] ORDER BY [test.v ASC NULLS FIRST] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING` FROM (SELECT `test`.`k` AS `k`, `test`.`v` AS `v`, rank() OVER (PARTITION BY `test`.`k` ORDER BY `test`.`v` ASC NULLS FIRST ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS `rank() PARTITION BY [test.k] ORDER BY [test.v ASC NULLS FIRST] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING` FROM `test`) AS `test` WHERE (`rank() PARTITION BY [test.k] ORDER BY [test.v ASC NULLS FIRST] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING` = 1)"
    );

    let unparser = Unparser::new(&DefaultDialect {});
    let sql = unparser.plan_to_sql(&plan)?;
    assert_snapshot!(
        sql,
        @"SELECT test.k, test.v, rank() OVER (PARTITION BY test.k ORDER BY test.v ASC NULLS FIRST ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) FROM test QUALIFY (rank() OVER (PARTITION BY test.k ORDER BY test.v ASC NULLS FIRST ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) = 1)"
    );

    // without table qualifier
    let table = table_scan(Some("test"), &schema, Some(vec![0, 1]))?.build()?;
    let table = LogicalPlanBuilder::from(table)
        .project(vec![col("k").alias("k"), col("v").alias("v")])?
        .build()?;
    let plan = LogicalPlanBuilder::window_plan(table, vec![window_expr])?;

    let name = plan.schema().fields().last().unwrap().name().clone();
    let plan = LogicalPlanBuilder::from(plan)
        .filter(col(name.clone()).eq(lit(1i64)))?
        .project(vec![col("k"), col("v"), col(name)])?
        .build()?;

    let unparser = Unparser::new(&UnparserPostgreSqlDialect {});
    let sql = unparser.plan_to_sql(&plan)?;
    assert_snapshot!(
        sql,
        @r#"SELECT "k", "v", "rank() PARTITION BY [k] ORDER BY [v ASC NULLS FIRST] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING" FROM (SELECT "k" AS "k", "v" AS "v", rank() OVER (PARTITION BY "k" ORDER BY "v" ASC NULLS FIRST ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS "rank() PARTITION BY [k] ORDER BY [v ASC NULLS FIRST] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING" FROM (SELECT "test"."k" AS "k", "test"."v" AS "v" FROM "test") AS "derived_projection") AS "__qualify_subquery" WHERE ("rank() PARTITION BY [k] ORDER BY [v ASC NULLS FIRST] ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING" = 1)"#
    );

    Ok(())
}

#[test]
fn test_unparse_window_over_aggregate_without_projection() -> Result<()> {
    let schema = Schema::new(vec![
        Field::new("time", DataType::Int64, false),
        Field::new("value", DataType::Float64, true),
    ]);
    let window_expr = Expr::WindowFunction(Box::new(WindowFunction {
        fun: WindowFunctionDefinition::WindowUDF(row_number_udwf()),
        params: WindowFunctionParams {
            args: vec![],
            partition_by: vec![],
            order_by: vec![col("time").sort(true, true)],
            window_frame: WindowFrame::new(None),
            null_treatment: None,
            distinct: false,
            filter: None,
        },
    }))
    .alias("row_idx");
    let plan = table_scan(Some("gas"), &schema, None)?
        .aggregate(vec![col("time")], vec![sum(col("value")).alias("sum_n")])?
        .window(vec![window_expr])?
        .build()?;

    let sql = Unparser::default().plan_to_sql(&plan)?;
    assert_snapshot!(
        sql,
        @r#"SELECT sum(gas."value") AS sum_n, gas."time", row_number() OVER (ORDER BY gas."time" ASC NULLS FIRST ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS row_idx FROM gas GROUP BY gas."time""#
    );

    Ok(())
}

#[test]
fn test_unparse_filter_on_window_over_aggregate_without_projection() -> Result<()> {
    let schema = Schema::new(vec![
        Field::new("time", DataType::Int64, false),
        Field::new("value", DataType::Float64, true),
    ]);
    let window_expr = Expr::WindowFunction(Box::new(WindowFunction {
        fun: WindowFunctionDefinition::WindowUDF(row_number_udwf()),
        params: WindowFunctionParams {
            args: vec![],
            partition_by: vec![],
            order_by: vec![col("time").sort(true, true)],
            window_frame: WindowFrame::new(None),
            null_treatment: None,
            distinct: false,
            filter: None,
        },
    }))
    .alias("row_idx");
    let plan = table_scan(Some("gas"), &schema, None)?
        .aggregate(vec![col("time")], vec![sum(col("value")).alias("sum_n")])?
        .window(vec![window_expr])?
        .filter(col("row_idx").eq(lit(0i64)))?
        .build()?;

    let sql = Unparser::default().plan_to_sql(&plan)?;
    assert_snapshot!(
        sql,
        @r#"SELECT sum(gas."value") AS sum_n, gas."time", row_number() OVER (ORDER BY gas."time" ASC NULLS FIRST ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS row_idx FROM gas GROUP BY gas."time" QUALIFY (row_number() OVER (ORDER BY gas."time" ASC NULLS FIRST ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) = 0)"#
    );

    Ok(())
}

#[test]
fn test_unparse_filter_on_aggregate_output_above_window_without_projection() -> Result<()>
{
    let schema = Schema::new(vec![
        Field::new("time", DataType::Int64, false),
        Field::new("value", DataType::Float64, true),
    ]);
    let window_expr = Expr::WindowFunction(Box::new(WindowFunction {
        fun: WindowFunctionDefinition::WindowUDF(row_number_udwf()),
        params: WindowFunctionParams {
            args: vec![],
            partition_by: vec![],
            order_by: vec![col("time").sort(true, true)],
            window_frame: WindowFrame::new(None),
            null_treatment: None,
            distinct: false,
            filter: None,
        },
    }))
    .alias("row_idx");
    let plan = table_scan(Some("gas"), &schema, None)?
        .aggregate(vec![col("time")], vec![sum(col("value")).alias("sum_n")])?
        .window(vec![window_expr])?
        .filter(col("sum_n").eq(lit(0f64)))?
        .build()?;

    let sql = Unparser::default().plan_to_sql(&plan)?;
    assert_snapshot!(
        sql,
        @r#"SELECT sum(gas."value") AS sum_n, gas."time", row_number() OVER (ORDER BY gas."time" ASC NULLS FIRST ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS row_idx FROM gas GROUP BY gas."time" QUALIFY (sum(gas."value") = 0.0)"#
    );

    Ok(())
}

#[test]
fn test_unparse_window_over_table_scan_without_projection() -> Result<()> {
    let schema = Schema::new(vec![
        Field::new("k", DataType::Int32, false),
        Field::new("v", DataType::Int32, false),
    ]);
    let window_expr = Expr::WindowFunction(Box::new(WindowFunction {
        fun: WindowFunctionDefinition::WindowUDF(row_number_udwf()),
        params: WindowFunctionParams {
            args: vec![],
            partition_by: vec![col("k")],
            order_by: vec![col("v").sort(true, true)],
            window_frame: WindowFrame::new(None),
            null_treatment: None,
            distinct: false,
            filter: None,
        },
    }))
    .alias("row_idx");
    let plan = table_scan(Some("test"), &schema, None)?
        .window(vec![window_expr])?
        .build()?;

    let sql = Unparser::default().plan_to_sql(&plan)?;
    assert_snapshot!(
        sql,
        @"SELECT *, row_number() OVER (PARTITION BY test.k ORDER BY test.v ASC NULLS FIRST ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS row_idx FROM test"
    );

    Ok(())
}

#[test]
fn test_unparse_stacked_windows_without_projection() -> Result<()> {
    let schema = Schema::new(vec![
        Field::new("k", DataType::Int32, false),
        Field::new("v", DataType::Int32, false),
    ]);
    let row_number_expr = Expr::WindowFunction(Box::new(WindowFunction {
        fun: WindowFunctionDefinition::WindowUDF(row_number_udwf()),
        params: WindowFunctionParams {
            args: vec![],
            partition_by: vec![col("k")],
            order_by: vec![col("v").sort(true, true)],
            window_frame: WindowFrame::new(None),
            null_treatment: None,
            distinct: false,
            filter: None,
        },
    }))
    .alias("row_idx");
    let rank_expr = Expr::WindowFunction(Box::new(WindowFunction {
        fun: WindowFunctionDefinition::WindowUDF(rank_udwf()),
        params: WindowFunctionParams {
            args: vec![],
            partition_by: vec![],
            order_by: vec![col("v").sort(false, false)],
            window_frame: WindowFrame::new(None),
            null_treatment: None,
            distinct: false,
            filter: None,
        },
    }))
    .alias("rank_idx");
    let plan = table_scan(Some("test"), &schema, None)?
        .window(vec![row_number_expr])?
        .window(vec![rank_expr])?
        .build()?;

    let sql = Unparser::default().plan_to_sql(&plan)?;
    assert_snapshot!(
        sql,
        @"SELECT *, row_number() OVER (PARTITION BY test.k ORDER BY test.v ASC NULLS FIRST ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS row_idx, rank() OVER (ORDER BY test.v DESC NULLS LAST ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS rank_idx FROM test"
    );

    Ok(())
}

#[test]
fn test_unparse_window_over_distinct_without_projection() -> Result<()> {
    let schema = Schema::new(vec![
        Field::new("k", DataType::Int32, false),
        Field::new("v", DataType::Int32, false),
    ]);
    let window_expr = Expr::WindowFunction(Box::new(WindowFunction {
        fun: WindowFunctionDefinition::WindowUDF(row_number_udwf()),
        params: WindowFunctionParams {
            args: vec![],
            partition_by: vec![],
            order_by: vec![col("v").sort(true, true)],
            window_frame: WindowFrame::new(None),
            null_treatment: None,
            distinct: false,
            filter: None,
        },
    }))
    .alias("row_idx");
    let plan = table_scan(Some("test"), &schema, None)?
        .distinct()?
        .window(vec![window_expr])?
        .build()?;

    let sql = Unparser::default().plan_to_sql(&plan)?;
    assert_snapshot!(
        sql,
        @"SELECT *, row_number() OVER (ORDER BY derived_window_input.v ASC NULLS FIRST ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS row_idx FROM (SELECT DISTINCT * FROM test) AS derived_window_input"
    );

    Ok(())
}

#[test]
fn test_unparse_window_over_limit_without_projection() -> Result<()> {
    let schema = Schema::new(vec![
        Field::new("k", DataType::Int32, false),
        Field::new("v", DataType::Int32, false),
    ]);
    let window_expr = Expr::WindowFunction(Box::new(WindowFunction {
        fun: WindowFunctionDefinition::WindowUDF(row_number_udwf()),
        params: WindowFunctionParams {
            args: vec![],
            partition_by: vec![],
            order_by: vec![col("v").sort(true, true)],
            window_frame: WindowFrame::new(None),
            null_treatment: None,
            distinct: false,
            filter: None,
        },
    }))
    .alias("row_idx");
    let plan = table_scan(Some("test"), &schema, None)?
        .limit(0, Some(10))?
        .window(vec![window_expr])?
        .build()?;

    let sql = Unparser::default().plan_to_sql(&plan)?;
    assert_snapshot!(
        sql,
        @"SELECT *, row_number() OVER (ORDER BY derived_window_input.v ASC NULLS FIRST ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS row_idx FROM (SELECT * FROM test LIMIT 10) AS derived_window_input"
    );

    Ok(())
}

#[test]
fn test_unparse_window_over_projection_without_projection() -> Result<()> {
    let schema = Schema::new(vec![
        Field::new("k", DataType::Int32, false),
        Field::new("v", DataType::Int32, false),
    ]);
    let window_expr = Expr::WindowFunction(Box::new(WindowFunction {
        fun: WindowFunctionDefinition::WindowUDF(row_number_udwf()),
        params: WindowFunctionParams {
            args: vec![],
            partition_by: vec![],
            order_by: vec![col("v_alias").sort(true, true)],
            window_frame: WindowFrame::new(None),
            null_treatment: None,
            distinct: false,
            filter: None,
        },
    }))
    .alias("row_idx");
    let plan = table_scan(Some("test"), &schema, None)?
        .project(vec![col("k"), col("v").alias("v_alias")])?
        .window(vec![window_expr])?
        .build()?;

    let sql = Unparser::default().plan_to_sql(&plan)?;
    assert_snapshot!(
        sql,
        @"SELECT *, row_number() OVER (ORDER BY derived_window_input.v_alias ASC NULLS FIRST ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS row_idx FROM (SELECT test.k, test.v AS v_alias FROM test) AS derived_window_input"
    );

    Ok(())
}

#[test]
fn test_unparse_window_over_derived_aggregate_without_projection() -> Result<()> {
    let schema = Schema::new(vec![
        Field::new("time", DataType::Int64, false),
        Field::new("value", DataType::Float64, true),
    ]);
    let window_expr = Expr::WindowFunction(Box::new(WindowFunction {
        fun: WindowFunctionDefinition::WindowUDF(row_number_udwf()),
        params: WindowFunctionParams {
            args: vec![],
            partition_by: vec![],
            order_by: vec![
                Expr::Column(Column::new(Some(TableReference::bare("agg")), "sum_n"))
                    .sort(true, true),
            ],
            window_frame: WindowFrame::new(None),
            null_treatment: None,
            distinct: false,
            filter: None,
        },
    }))
    .alias("row_idx");
    let plan = table_scan(Some("gas"), &schema, None)?
        .aggregate(vec![col("time")], vec![sum(col("value")).alias("sum_n")])?
        .alias("agg")?
        .window(vec![window_expr])?
        .build()?;

    let sql = Unparser::default().plan_to_sql(&plan)?;
    assert_snapshot!(
        sql,
        @r#"SELECT *, row_number() OVER (ORDER BY agg.sum_n ASC NULLS FIRST ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS row_idx FROM (SELECT sum(gas."value") AS sum_n, gas."time" FROM gas GROUP BY gas."time") AS agg"#
    );

    Ok(())
}

#[test]
fn test_array_to_sql_postgres() -> Result<(), DataFusionError> {
    roundtrip_statement_with_dialect_helper!(
        sql: "SELECT [1, 2, 3, 4, 5]",
        parser_dialect: GenericDialect {},
        unparser_dialect: UnparserPostgreSqlDialect {},
        expected: @"SELECT ARRAY[1, 2, 3, 4, 5]",
    );
    Ok(())
}

#[test]
fn test_like_filter() {
    let statement = generate_round_trip_statement(
        GenericDialect {},
        r#"SELECT first_name FROM person WHERE first_name LIKE '%John%'"#,
    );
    assert_snapshot!(
        statement,
        @"SELECT person.first_name FROM person WHERE person.first_name LIKE '%John%'"
    );
}

#[test]
fn test_ilike_filter() {
    let statement = generate_round_trip_statement(
        GenericDialect {},
        r#"SELECT first_name FROM person WHERE first_name ILIKE '%john%'"#,
    );
    assert_snapshot!(
        statement,
        @"SELECT person.first_name FROM person WHERE person.first_name ILIKE '%john%'"
    );
}

#[test]
fn test_not_like_filter() {
    let statement = generate_round_trip_statement(
        GenericDialect {},
        r#"SELECT first_name FROM person WHERE first_name NOT LIKE 'A%'"#,
    );
    assert_snapshot!(
        statement,
        @"SELECT person.first_name FROM person WHERE person.first_name NOT LIKE 'A%'"
    );
}

#[test]
fn test_not_ilike_filter() {
    let statement = generate_round_trip_statement(
        GenericDialect {},
        r#"SELECT first_name FROM person WHERE first_name NOT ILIKE 'a%'"#,
    );
    assert_snapshot!(
        statement,
        @"SELECT person.first_name FROM person WHERE person.first_name NOT ILIKE 'a%'"
    );
}

#[test]
fn test_like_filter_with_escape() {
    let statement = generate_round_trip_statement(
        GenericDialect {},
        r#"SELECT first_name FROM person WHERE first_name LIKE 'A!_%' ESCAPE '!'"#,
    );
    assert_snapshot!(
        statement,
        @"SELECT person.first_name FROM person WHERE person.first_name LIKE 'A!_%' ESCAPE '!'"
    );
}

#[test]
fn test_not_like_filter_with_escape() {
    let statement = generate_round_trip_statement(
        GenericDialect {},
        r#"SELECT first_name FROM person WHERE first_name NOT LIKE 'A!_%' ESCAPE '!'"#,
    );
    assert_snapshot!(
        statement,
        @"SELECT person.first_name FROM person WHERE person.first_name NOT LIKE 'A!_%' ESCAPE '!'"
    );
}

#[test]
fn test_not_ilike_filter_with_escape() {
    let statement = generate_round_trip_statement(
        GenericDialect {},
        r#"SELECT first_name FROM person WHERE first_name NOT ILIKE 'A!_%' ESCAPE '!'"#,
    );
    assert_snapshot!(
        statement,
        @"SELECT person.first_name FROM person WHERE person.first_name NOT ILIKE 'A!_%' ESCAPE '!'"
    );
}

#[test]
fn test_struct_expr() {
    let statement = generate_round_trip_statement(
        GenericDialect {},
        r#"WITH test AS (SELECT STRUCT(STRUCT('Product Name' as name) as product) AS metadata) SELECT metadata.product FROM test WHERE metadata.product.name  = 'Product Name'"#,
    );
    assert_snapshot!(
        statement,
        @r#"SELECT test."metadata".product FROM (SELECT {product: {"name": 'Product Name'}} AS "metadata") AS test WHERE (test."metadata".product."name" = 'Product Name')"#
    );

    let statement = generate_round_trip_statement(
        GenericDialect {},
        r#"WITH test AS (SELECT STRUCT(STRUCT('Product Name' as name) as product) AS metadata) SELECT metadata.product FROM test WHERE metadata['product']['name']  = 'Product Name'"#,
    );
    assert_snapshot!(
        statement,
        @r#"SELECT test."metadata".product FROM (SELECT {product: {"name": 'Product Name'}} AS "metadata") AS test WHERE (test."metadata".product."name" = 'Product Name')"#
    );
}

#[test]
fn test_struct_expr2() {
    let statement = generate_round_trip_statement(
        GenericDialect {},
        r#"SELECT STRUCT(STRUCT('Product Name' as name) as product)['product']['name']  = 'Product Name';"#,
    );
    assert_snapshot!(
        statement,
        @r#"SELECT ({product: {"name": 'Product Name'}}.product."name" = 'Product Name')"#
    );
}

#[test]
fn test_struct_expr3() {
    let statement = generate_round_trip_statement(
        GenericDialect {},
        r#"WITH
                test AS (
                    SELECT
                        STRUCT (
                            STRUCT (
                                STRUCT ('Product Name' as name) as product
                            ) AS metadata
                        ) AS c1
                )
            SELECT
                c1.metadata.product.name
            FROM
                test"#,
    );
    assert_snapshot!(
        statement,
        @r#"SELECT test.c1."metadata".product."name" FROM (SELECT {"metadata": {product: {"name": 'Product Name'}}} AS c1) AS test"#
    );
}

#[test]
fn test_json_access_1() {
    let statement = generate_round_trip_statement(
        GenericDialect {},
        r#"SELECT j1_string:field FROM j1"#,
    );
    assert_snapshot!(
        statement,
        @r#"SELECT (j1.j1_string : 'field') FROM j1"#
    );
}

#[test]
fn test_json_access_2() {
    let statement = generate_round_trip_statement(
        GenericDialect {},
        r#"SELECT j1_string:field[0] FROM j1"#,
    );
    assert_snapshot!(
        statement,
        @r#"SELECT (j1.j1_string : 'field[0]') FROM j1"#
    );
}

#[test]
fn test_json_access_3() {
    let statement = generate_round_trip_statement(
        GenericDialect {},
        r#"SELECT j1_string:field.inner1['inner2'] FROM j1"#,
    );
    assert_snapshot!(
        statement,
        @r#"SELECT (j1.j1_string : 'field.inner1[''inner2'']') FROM j1"#
    );
}

/// Roundtrip test for a subquery aggregate with column aliases.
/// Ensures that `subquery_alias_inner_query_and_columns` unwrapping
/// a Projection -> Aggregate still triggers the derived-subquery path.
#[test]
fn roundtrip_subquery_aggregate_with_column_alias() -> Result<(), DataFusionError> {
    roundtrip_statement_with_dialect_helper!(
        sql: "SELECT id FROM (SELECT max(j1_id) FROM j1) AS c(id)",
        parser_dialect: GenericDialect {},
        unparser_dialect: UnparserDefaultDialect {},
        expected: @"SELECT c.id FROM (SELECT max(j1.j1_id) FROM j1) AS c (id)",
    );
    Ok(())
}

/// Test that unparsing a manually constructed join with a subquery aggregate
/// preserves the MAX aggregate function.
///
/// Builds the equivalent of:
///   SELECT j1.j1_string FROM j1
///     JOIN (SELECT max(j2_id) AS max_id FROM j2) AS b
///     ON j1.j1_id = b.max_id
#[test]
fn test_unparse_manual_join_with_subquery_aggregate() -> Result<()> {
    let context = MockContextProvider {
        state: MockSessionState::default(),
    };
    let j1_schema = context
        .get_table_source(TableReference::bare("j1"))?
        .schema();
    let j2_schema = context
        .get_table_source(TableReference::bare("j2"))?
        .schema();

    // Build the right side: SELECT max(j2_id) AS max_id FROM j2
    let right_scan = table_scan(Some("j2"), &j2_schema, None)?.build()?;
    let right_agg = LogicalPlanBuilder::from(right_scan)
        .aggregate(
            vec![] as Vec<Expr>,
            vec![max(col("j2.j2_id")).alias("max_id")],
        )?
        .build()?;
    let right_subquery = subquery_alias(right_agg, "b")?;

    // Build the full plan: SELECT j1.j1_string FROM j1 JOIN (...) AS b ON j1.j1_id = b.max_id
    let left_scan = table_scan(Some("j1"), &j1_schema, None)?.build()?;
    let plan = LogicalPlanBuilder::from(left_scan)
        .join(
            right_subquery,
            datafusion_expr::JoinType::Inner,
            (
                vec![Column::from_qualified_name("j1.j1_id")],
                vec![Column::from_qualified_name("b.max_id")],
            ),
            None,
        )?
        .project(vec![col("j1.j1_string")])?
        .build()?;

    let unparser = Unparser::default();
    let sql = unparser.plan_to_sql(&plan)?.to_string();
    let sql_upper = sql.to_uppercase();
    assert!(
        sql_upper.contains("MAX("),
        "Unparsed SQL should preserve the MAX aggregate function call, got: {sql}"
    );

    Ok(())
}

/// Regression test for https://github.com/apache/datafusion/issues/21490
///
/// When the outer Projection excludes a Sort column whose definition only
/// exists as an alias in the inner Projection, the Unparser must inline the
/// underlying expression into ORDER BY rather than emitting the now-missing
/// alias name.
#[test]
fn test_sort_on_aliased_column_dropped_by_outer_projection() -> Result<()> {
    let schema = Schema::new(vec![
        Field::new("X", DataType::Utf8, true),
        Field::new("Y", DataType::Utf8, true),
        Field::new("Z", DataType::Utf8, true),
    ]);

    // Build:
    //   Projection: [a, b]                         -- outer: excludes sort column "c"
    //     Sort: [c DESC, fetch=1]                   -- references alias "c"
    //       Projection: [X AS a, Y AS b, Z AS c]    -- defines alias "c"
    //         SubqueryAlias: t
    //           TableScan: phys_table [X, Y, Z]
    let plan = table_scan(Some("phys_table"), &schema, None)?
        .alias("t")?
        .project(vec![
            Expr::Column(Column::new(Some(TableReference::bare("t")), "X")).alias("a"),
            Expr::Column(Column::new(Some(TableReference::bare("t")), "Y")).alias("b"),
            Expr::Column(Column::new(Some(TableReference::bare("t")), "Z")).alias("c"),
        ])?
        .sort_with_limit(
            vec![Expr::Column(Column::new_unqualified("c")).sort(false, true)],
            Some(1),
        )?
        .project(vec![
            Expr::Column(Column::new_unqualified("a")),
            Expr::Column(Column::new_unqualified("b")),
        ])?
        .build()?;

    let unparser = Unparser::default();
    let sql = unparser.plan_to_sql(&plan)?;

    // ORDER BY must reference the physical column, not the dropped alias.
    assert_snapshot!(
        sql,
        @r#"SELECT t."X" AS a, t."Y" AS b FROM phys_table AS t ORDER BY t."Z" DESC NULLS FIRST LIMIT 1"#
    );

    Ok(())
}

#[test]
fn snowflake_unnest_to_lateral_flatten_simple() -> Result<(), DataFusionError> {
    let snowflake = SnowflakeDialect::new();
    roundtrip_statement_with_dialect_helper!(
        sql: "SELECT * FROM UNNEST([1,2,3])",
        parser_dialect: GenericDialect {},
        unparser_dialect: snowflake,
        expected: @r#"SELECT "_unnest_1"."VALUE" FROM LATERAL FLATTEN(INPUT => [1, 2, 3]) AS "_unnest_1""#,
    );
    Ok(())
}

#[test]
fn snowflake_unnest_to_lateral_flatten_with_cross_join() -> Result<(), DataFusionError> {
    let snowflake = SnowflakeDialect::new();
    roundtrip_statement_with_dialect_helper!(
        sql: "SELECT * FROM UNNEST([1,2,3]), j1",
        parser_dialect: GenericDialect {},
        unparser_dialect: snowflake,
        expected: @r#"SELECT "_unnest_1"."VALUE", "j1"."j1_id", "j1"."j1_string" FROM LATERAL FLATTEN(INPUT => [1, 2, 3]) AS "_unnest_1" CROSS JOIN "j1""#,
    );
    Ok(())
}

#[test]
fn snowflake_unnest_to_lateral_flatten_cross_join_inline() -> Result<(), DataFusionError>
{
    // Cross join with two inline UNNEST sources — both produce valid FLATTEN.
    // NOTE: UNNEST(table.column) is NOT tested with Snowflake because
    // LATERAL FLATTEN(INPUT => col) requires the column to be a Snowflake
    // VARIANT/ARRAY type, which cannot be validated at unparse time.
    let snowflake = SnowflakeDialect::new();
    roundtrip_statement_with_dialect_helper!(
        sql: "SELECT * FROM UNNEST([1,2,3]) u(c1) JOIN j1 ON u.c1 = j1.j1_id",
        parser_dialect: GenericDialect {},
        unparser_dialect: snowflake,
        // NOTE: SELECT correctly uses VALUE, but the JOIN ON condition
        // still references the original column alias (c1) because join
        // filters are rendered outside reconstruct_select_statement.
        expected: @r#"SELECT "u"."VALUE", "j1"."j1_id", "j1"."j1_string" FROM LATERAL FLATTEN(INPUT => [1, 2, 3]) AS "u" INNER JOIN "j1" ON ("u"."c1" = "j1"."j1_id")"#,
    );
    Ok(())
}

// --- Edge case tests for Snowflake FLATTEN ---

#[test]
fn snowflake_flatten_implicit_from() -> Result<(), DataFusionError> {
    // UNNEST in SELECT clause (no explicit FROM UNNEST) — implicit table factor
    let snowflake = SnowflakeDialect::new();
    roundtrip_statement_with_dialect_helper!(
        sql: "SELECT UNNEST([1,2,3])",
        parser_dialect: GenericDialect {},
        unparser_dialect: snowflake,
        expected: @r#"SELECT "_unnest_1"."VALUE" FROM LATERAL FLATTEN(INPUT => [1, 2, 3]) AS "_unnest_1""#,
    );
    Ok(())
}

#[test]
fn snowflake_flatten_string_array() -> Result<(), DataFusionError> {
    // String array unnest
    let snowflake = SnowflakeDialect::new();
    roundtrip_statement_with_dialect_helper!(
        sql: "SELECT * FROM UNNEST(['a','b','c'])",
        parser_dialect: GenericDialect {},
        unparser_dialect: snowflake,
        expected: @r#"SELECT "_unnest_1"."VALUE" FROM LATERAL FLATTEN(INPUT => ['a', 'b', 'c']) AS "_unnest_1""#,
    );
    Ok(())
}

#[test]
fn snowflake_flatten_select_unnest_with_alias() -> Result<(), DataFusionError> {
    let snowflake = SnowflakeDialect::new();
    roundtrip_statement_with_dialect_helper!(
        sql: "SELECT UNNEST([1,2,3]) as c1",
        parser_dialect: GenericDialect {},
        unparser_dialect: snowflake,
        expected: @r#"SELECT "_unnest_1"."VALUE" AS "c1" FROM LATERAL FLATTEN(INPUT => [1, 2, 3]) AS "_unnest_1""#,
    );
    Ok(())
}

#[test]
fn snowflake_flatten_select_unnest_plus_literal() -> Result<(), DataFusionError> {
    let snowflake = SnowflakeDialect::new();
    roundtrip_statement_with_dialect_helper!(
        sql: "SELECT UNNEST([1,2,3]), 1",
        parser_dialect: GenericDialect {},
        unparser_dialect: snowflake,
        expected: @r#"SELECT "_unnest_1"."VALUE", "Int64(1)" FROM LATERAL FLATTEN(INPUT => [1, 2, 3]) AS "_unnest_1""#,
    );
    Ok(())
}

#[test]
fn snowflake_flatten_from_unnest_with_table_alias() -> Result<(), DataFusionError> {
    let snowflake = SnowflakeDialect::new();
    roundtrip_statement_with_dialect_helper!(
        sql: "SELECT * FROM UNNEST([1,2,3]) AS t1 (c1)",
        parser_dialect: GenericDialect {},
        unparser_dialect: snowflake,
        expected: @r#"SELECT "t1"."VALUE" FROM LATERAL FLATTEN(INPUT => [1, 2, 3]) AS "t1""#,
    );
    Ok(())
}

#[test]
fn snowflake_flatten_unnest_from_subselect() -> Result<(), DataFusionError> {
    // UNNEST operating on an array column produced by a subselect.
    // Uses unnest_table which has array_col (List<Int64>).
    // The filter uses array_col IS NOT NULL — a simple predicate
    // that doesn't involve struct types (which Snowflake FLATTEN can't handle).
    let snowflake = SnowflakeDialect::new();
    roundtrip_statement_with_dialect_helper!(
        sql: "SELECT UNNEST(array_col) FROM (SELECT array_col FROM unnest_table WHERE array_col IS NOT NULL LIMIT 3)",
        parser_dialect: GenericDialect {},
        unparser_dialect: snowflake,
        expected: @r#"SELECT "_unnest_1"."VALUE" FROM (SELECT "unnest_table"."array_col" FROM "unnest_table" WHERE "unnest_table"."array_col" IS NOT NULL LIMIT 3) CROSS JOIN LATERAL FLATTEN(INPUT => "unnest_table"."array_col") AS "_unnest_1""#,
    );
    Ok(())
}

/// Dummy scalar UDF for testing — takes a string and returns List<Int64>.
/// Simulates any UDF that extracts an array from a column (e.g. parsing
/// JSON, splitting a delimited string, etc.).
#[derive(Debug, PartialEq, Eq, Hash)]
struct ExtractArrayUdf {
    signature: Signature,
}

impl ExtractArrayUdf {
    fn new() -> Self {
        Self {
            signature: Signature::exact(vec![DataType::Utf8], Volatility::Immutable),
        }
    }
}

impl ScalarUDFImpl for ExtractArrayUdf {
    fn name(&self) -> &str {
        "extract_array"
    }
    fn signature(&self) -> &Signature {
        &self.signature
    }
    fn return_type(&self, _arg_types: &[DataType]) -> Result<DataType> {
        Ok(DataType::List(Arc::new(Field::new_list_field(
            DataType::Int64,
            true,
        ))))
    }
    fn invoke_with_args(&self, _args: ScalarFunctionArgs) -> Result<ColumnarValue> {
        unimplemented!("test stub")
    }
}

#[test]
fn snowflake_flatten_unnest_udf_result() -> Result<(), DataFusionError> {
    // UNNEST on a UDF result: extract_array(col) returns List<Int64>,
    // then UNNEST flattens it. This exercises the path where the FLATTEN
    // INPUT is a UDF call rather than a bare column reference.
    let sql = "SELECT UNNEST(extract_array(j1_string)) AS items FROM j1 LIMIT 5";

    let statement = Parser::new(&GenericDialect {})
        .try_with_sql(sql)?
        .parse_statement()?;

    let state = MockSessionState::default()
        .with_aggregate_function(max_udaf())
        .with_aggregate_function(min_udaf())
        .with_scalar_function(Arc::new(ScalarUDF::new_from_impl(ExtractArrayUdf::new())))
        .with_expr_planner(Arc::new(CoreFunctionPlanner::default()))
        .with_expr_planner(Arc::new(NestedFunctionPlanner))
        .with_expr_planner(Arc::new(FieldAccessPlanner));

    let context = MockContextProvider { state };
    let sql_to_rel = SqlToRel::new(&context);
    let plan = sql_to_rel
        .sql_statement_to_plan(statement)
        .unwrap_or_else(|e| panic!("Failed to parse sql: {sql}\n{e}"));

    let snowflake = SnowflakeDialect::new();
    let unparser = Unparser::new(&snowflake);
    let result = unparser.plan_to_sql(&plan)?;
    let actual = result.to_string();

    insta::assert_snapshot!(actual, @r#"SELECT "_unnest_1"."VALUE" AS "items" FROM "j1" CROSS JOIN LATERAL FLATTEN(INPUT => extract_array("j1"."j1_string")) AS "_unnest_1" LIMIT 5"#);
    Ok(())
}

#[test]
fn snowflake_flatten_limit_between_projection_and_unnest() -> Result<(), DataFusionError>
{
    // Build: Projection → Limit → Unnest → Projection → TableScan
    // The optimizer can insert a Limit between the outer Projection and the
    // Unnest. The FLATTEN code path must look through transparent nodes
    // (Limit, Sort) to find the Unnest.
    let schema = Schema::new(vec![Field::new(
        "items",
        DataType::List(Arc::new(Field::new_list_field(DataType::Utf8, true))),
        true,
    )]);

    let plan = table_scan(Some("source"), &schema, None)?
        .project(vec![col("items").alias("__unnest_placeholder(items)")])?
        .unnest_column("__unnest_placeholder(items)")?
        .limit(0, Some(5))? // Limit BETWEEN outer Projection and Unnest
        .project(vec![col("__unnest_placeholder(items)").alias("item")])?
        .build()?;

    let snowflake = SnowflakeDialect::new();
    let unparser = Unparser::new(&snowflake);
    let result = unparser.plan_to_sql(&plan)?;
    let actual = result.to_string();

    // Must contain LATERAL FLATTEN — the Limit must not prevent FLATTEN detection
    insta::assert_snapshot!(actual, @r#"SELECT "_unnest_1"."VALUE" AS "item" FROM "source" CROSS JOIN LATERAL FLATTEN(INPUT => "source"."items", OUTER => true) AS "_unnest_1" LIMIT 5"#);
    Ok(())
}

#[test]
fn snowflake_flatten_sort_between_projection_and_unnest() -> Result<(), DataFusionError> {
    // Build: Projection → Sort → Unnest → Projection → TableScan
    // Same as Limit test but with Sort instead.
    let schema = Schema::new(vec![Field::new(
        "items",
        DataType::List(Arc::new(Field::new_list_field(DataType::Utf8, true))),
        true,
    )]);

    let plan = table_scan(Some("source"), &schema, None)?
        .project(vec![col("items").alias("__unnest_placeholder(items)")])?
        .unnest_column("__unnest_placeholder(items)")?
        .sort(vec![col("__unnest_placeholder(items)").sort(true, true)])?
        .project(vec![col("__unnest_placeholder(items)").alias("item")])?
        .build()?;

    let snowflake = SnowflakeDialect::new();
    let unparser = Unparser::new(&snowflake);
    let result = unparser.plan_to_sql(&plan)?;
    let actual = result.to_string();

    // Must contain LATERAL FLATTEN — the Sort must not prevent FLATTEN detection
    insta::assert_snapshot!(actual, @r#"SELECT "_unnest_1"."VALUE" AS "item" FROM "source" CROSS JOIN LATERAL FLATTEN(INPUT => "source"."items", OUTER => true) AS "_unnest_1" ORDER BY "_unnest_1"."VALUE" ASC NULLS FIRST"#);
    Ok(())
}

#[test]
fn snowflake_flatten_limit_between_projection_and_unnest_with_subquery_alias()
-> Result<(), DataFusionError> {
    // Build: Projection → Limit → Unnest → SubqueryAlias → Projection → TableScan
    // Combines the Limit and SubqueryAlias transparent node patterns.
    let schema = Schema::new(vec![Field::new(
        "items",
        DataType::List(Arc::new(Field::new_list_field(DataType::Utf8, true))),
        true,
    )]);

    let plan = table_scan(Some("source"), &schema, None)?
        .project(vec![col("items").alias("__unnest_placeholder(items)")])?
        .alias("t")?
        .unnest_column("__unnest_placeholder(items)")?
        .limit(0, Some(10))?
        .project(vec![col("__unnest_placeholder(items)").alias("item")])?
        .build()?;

    let snowflake = SnowflakeDialect::new();
    let unparser = Unparser::new(&snowflake);
    let result = unparser.plan_to_sql(&plan)?;
    let actual = result.to_string();

    insta::assert_snapshot!(actual, @r#"SELECT "_unnest_1"."VALUE" AS "item" FROM "source" CROSS JOIN LATERAL FLATTEN(INPUT => "source"."items", OUTER => true) AS "_unnest_1" LIMIT 10"#);
    Ok(())
}

#[test]
fn snowflake_flatten_composed_expression_wrapping_unnest() -> Result<(), DataFusionError>
{
    // Build: Projection(CAST(placeholder AS Int64) AS item_id) → Unnest → Projection → TableScan
    // The outer Projection wraps the unnest output in a function call.
    // The FLATTEN code path must detect the placeholder inside the function
    // and still emit LATERAL FLATTEN.
    let schema = Schema::new(vec![Field::new(
        "items",
        DataType::List(Arc::new(Field::new_list_field(DataType::Utf8, true))),
        true,
    )]);

    let plan = table_scan(Some("source"), &schema, None)?
        .project(vec![col("items").alias("__unnest_placeholder(items)")])?
        .unnest_column("__unnest_placeholder(items)")?
        .project(vec![
            cast(col("__unnest_placeholder(items)"), DataType::Int64).alias("item_id"),
        ])?
        .build()?;

    let snowflake = SnowflakeDialect::new();
    let unparser = Unparser::new(&snowflake);
    let result = unparser.plan_to_sql(&plan)?;
    let actual = result.to_string();

    // Must contain LATERAL FLATTEN despite the placeholder being inside CAST
    insta::assert_snapshot!(actual, @r#"SELECT CAST("_unnest_1"."VALUE" AS BIGINT) AS "item_id" FROM "source" CROSS JOIN LATERAL FLATTEN(INPUT => "source"."items", OUTER => true) AS "_unnest_1""#);
    Ok(())
}

#[test]
fn snowflake_flatten_composed_expression_with_limit() -> Result<(), DataFusionError> {
    // Combines both bugs: composed expression + Limit between Projection and Unnest
    // Build: Projection(CAST(placeholder AS Int64) AS item_id) → Limit → Unnest → Projection → TableScan
    let schema = Schema::new(vec![Field::new(
        "items",
        DataType::List(Arc::new(Field::new_list_field(DataType::Utf8, true))),
        true,
    )]);

    let plan = table_scan(Some("source"), &schema, None)?
        .project(vec![col("items").alias("__unnest_placeholder(items)")])?
        .unnest_column("__unnest_placeholder(items)")?
        .limit(0, Some(5))?
        .project(vec![
            cast(col("__unnest_placeholder(items)"), DataType::Int64).alias("item_id"),
        ])?
        .build()?;

    let snowflake = SnowflakeDialect::new();
    let unparser = Unparser::new(&snowflake);
    let result = unparser.plan_to_sql(&plan)?;
    let actual = result.to_string();

    insta::assert_snapshot!(actual, @r#"SELECT CAST("_unnest_1"."VALUE" AS BIGINT) AS "item_id" FROM "source" CROSS JOIN LATERAL FLATTEN(INPUT => "source"."items", OUTER => true) AS "_unnest_1" LIMIT 5"#);
    Ok(())
}

#[test]
fn snowflake_flatten_multi_expression_projection() -> Result<(), DataFusionError> {
    // Build: Projection([CAST(placeholder AS Int64) AS a, CAST(placeholder AS Utf8) AS b])
    //          → Unnest → Projection → TableScan
    // The outer Projection has TWO expressions — both reference the placeholder.
    // The FLATTEN code path must fire even when p.expr.len() > 1.
    let schema = Schema::new(vec![Field::new(
        "items",
        DataType::List(Arc::new(Field::new_list_field(DataType::Utf8, true))),
        true,
    )]);

    let plan = table_scan(Some("source"), &schema, None)?
        .project(vec![col("items").alias("__unnest_placeholder(items)")])?
        .unnest_column("__unnest_placeholder(items)")?
        .project(vec![
            cast(col("__unnest_placeholder(items)"), DataType::Int64).alias("a"),
            cast(col("__unnest_placeholder(items)"), DataType::Utf8).alias("b"),
        ])?
        .build()?;

    let snowflake = SnowflakeDialect::new();
    let unparser = Unparser::new(&snowflake);
    let result = unparser.plan_to_sql(&plan)?;
    let actual = result.to_string();

    insta::assert_snapshot!(actual, @r#"SELECT CAST("_unnest_1"."VALUE" AS BIGINT) AS "a", CAST("_unnest_1"."VALUE" AS VARCHAR) AS "b" FROM "source" CROSS JOIN LATERAL FLATTEN(INPUT => "source"."items", OUTER => true) AS "_unnest_1""#);
    Ok(())
}

#[test]
fn snowflake_flatten_multi_expression_with_limit() -> Result<(), DataFusionError> {
    // Multi-expression + Limit between Projection and Unnest
    let schema = Schema::new(vec![Field::new(
        "items",
        DataType::List(Arc::new(Field::new_list_field(DataType::Utf8, true))),
        true,
    )]);

    let plan = table_scan(Some("source"), &schema, None)?
        .project(vec![col("items").alias("__unnest_placeholder(items)")])?
        .unnest_column("__unnest_placeholder(items)")?
        .limit(0, Some(10))?
        .project(vec![
            cast(col("__unnest_placeholder(items)"), DataType::Int64).alias("a"),
            cast(col("__unnest_placeholder(items)"), DataType::Utf8).alias("b"),
        ])?
        .build()?;

    let snowflake = SnowflakeDialect::new();
    let unparser = Unparser::new(&snowflake);
    let result = unparser.plan_to_sql(&plan)?;
    let actual = result.to_string();

    insta::assert_snapshot!(actual, @r#"SELECT CAST("_unnest_1"."VALUE" AS BIGINT) AS "a", CAST("_unnest_1"."VALUE" AS VARCHAR) AS "b" FROM "source" CROSS JOIN LATERAL FLATTEN(INPUT => "source"."items", OUTER => true) AS "_unnest_1" LIMIT 10"#);
    Ok(())
}

#[test]
fn snowflake_unnest_through_subquery_alias() -> Result<(), DataFusionError> {
    // Build: Projection → Unnest → SubqueryAlias → Projection → TableScan
    // This simulates the plan produced when a virtual/passthrough table
    // wraps the source in a SubqueryAlias, which sits between the Unnest
    // and its inner Projection.

    let schema = Schema::new(vec![Field::new(
        "items",
        DataType::List(Arc::new(Field::new_list_field(DataType::Utf8, true))),
        true,
    )]);

    let plan = table_scan(Some("source"), &schema, None)?
        .project(vec![col("items").alias("__unnest_placeholder(items)")])?
        .alias("t")? // SubqueryAlias — this is what breaks
        .unnest_column("__unnest_placeholder(items)")?
        .project(vec![col("__unnest_placeholder(items)").alias("item")])?
        .build()?;

    let snowflake = SnowflakeDialect::new();
    let unparser = Unparser::new(&snowflake);
    let result = unparser.plan_to_sql(&plan)?;
    let sql_str = result.to_string();

    // Should contain LATERAL FLATTEN, not error
    insta::assert_snapshot!(sql_str, @r#"SELECT "_unnest_1"."VALUE" AS "item" FROM "source" CROSS JOIN LATERAL FLATTEN(INPUT => "source"."items", OUTER => true) AS "_unnest_1""#);
    Ok(())
}

#[test]
fn snowflake_flatten_cross_join_unnest_table_column() -> Result<(), DataFusionError> {
    // Single CROSS JOIN UNNEST from a table column with user-provided alias.
    // Column references into the FLATTEN alias use .VALUE.
    let snowflake = SnowflakeDialect::new();
    roundtrip_statement_with_dialect_helper!(
        sql: "SELECT * FROM multi_array_table CROSS JOIN UNNEST(column_a) AS a (a)",
        parser_dialect: GenericDialect {},
        unparser_dialect: snowflake,
        expected: @r#"SELECT "multi_array_table"."column_a", "multi_array_table"."column_b", "a"."VALUE" FROM "multi_array_table" CROSS JOIN LATERAL FLATTEN(INPUT => "multi_array_table"."column_a") AS "a""#,
    );
    Ok(())
}

#[test]
fn snowflake_flatten_multiple_unnest_cross_join() -> Result<(), DataFusionError> {
    // Realistic Snowflake pattern:
    //   SELECT a, b
    //   FROM multi_array_table
    //   CROSS JOIN UNNEST(column_a) AS a
    //   CROSS JOIN UNNEST(column_b) AS b
    //
    // Each CROSS JOIN UNNEST should produce a separate LATERAL FLATTEN
    // with a distinct alias so they don't collide in the same FROM clause.
    let snowflake = SnowflakeDialect::new();
    roundtrip_statement_with_dialect_helper!(
        sql: "SELECT a.a, b.b FROM multi_array_table CROSS JOIN UNNEST(column_a) AS a (a) CROSS JOIN UNNEST(column_b) AS b (b)",
        parser_dialect: GenericDialect {},
        unparser_dialect: snowflake,
        expected: @r#"SELECT "a"."VALUE", "b"."VALUE" FROM "multi_array_table" CROSS JOIN LATERAL FLATTEN(INPUT => "multi_array_table"."column_a") AS "a" CROSS JOIN LATERAL FLATTEN(INPUT => "multi_array_table"."column_b") AS "b""#,
    );
    Ok(())
}
