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410 lines (361 loc) · 16.5 KB
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#include <gtest/gtest.h>
#include "sql_engine/plan_executor.h"
#include "sql_engine/plan_builder.h"
#include "sql_engine/in_memory_catalog.h"
#include "sql_engine/data_source.h"
#include "sql_parser/parser.h"
#include <cstring>
#include <string>
#include <vector>
#include <set>
using namespace sql_engine;
using namespace sql_parser;
// Helper: allocate a persistent string in an arena
static StringRef arena_str(Arena& arena, const char* s) {
uint32_t len = static_cast<uint32_t>(std::strlen(s));
char* buf = static_cast<char*>(arena.allocate(len));
std::memcpy(buf, s, len);
return StringRef{buf, len};
}
static Row build_row(Arena& arena, std::initializer_list<Value> vals) {
uint16_t n = static_cast<uint16_t>(vals.size());
Row r = make_row(arena, n);
uint16_t i = 0;
for (auto& v : vals) r.set(i++, v);
return r;
}
// ==================================================================
// Test fixture with users + orders tables
// ==================================================================
class SubqueryTest : public ::testing::Test {
protected:
Arena data_arena{65536, 1048576};
InMemoryCatalog catalog;
FunctionRegistry<Dialect::MySQL> functions;
Parser<Dialect::MySQL> parser;
const TableInfo* users_table = nullptr;
const TableInfo* orders_table = nullptr;
InMemoryDataSource* users_source = nullptr;
InMemoryDataSource* orders_source = nullptr;
void SetUp() override {
functions.register_builtins();
// users table: id, name, age, dept
catalog.add_table("", "users", {
{"id", SqlType::make_int(), false},
{"name", SqlType::make_varchar(255), true},
{"age", SqlType::make_int(), true},
{"dept", SqlType::make_varchar(50), true},
});
users_table = catalog.get_table(StringRef{"users", 5});
std::vector<Row> user_rows = {
build_row(data_arena, {value_int(1), value_string(arena_str(data_arena, "Alice")), value_int(25), value_string(arena_str(data_arena, "Engineering"))}),
build_row(data_arena, {value_int(2), value_string(arena_str(data_arena, "Bob")), value_int(30), value_string(arena_str(data_arena, "Sales"))}),
build_row(data_arena, {value_int(3), value_string(arena_str(data_arena, "Carol")), value_int(17), value_string(arena_str(data_arena, "Engineering"))}),
build_row(data_arena, {value_int(4), value_string(arena_str(data_arena, "Dave")), value_int(22), value_string(arena_str(data_arena, "Sales"))}),
build_row(data_arena, {value_int(5), value_string(arena_str(data_arena, "Eve")), value_int(35), value_string(arena_str(data_arena, "Engineering"))}),
};
users_source = new InMemoryDataSource(users_table, std::move(user_rows));
// orders table: order_id, user_id, total
catalog.add_table("", "orders", {
{"order_id", SqlType::make_int(), false},
{"user_id", SqlType::make_int(), false},
{"total", SqlType::make_int(), true},
});
orders_table = catalog.get_table(StringRef{"orders", 6});
std::vector<Row> order_rows = {
build_row(data_arena, {value_int(101), value_int(1), value_int(500)}),
build_row(data_arena, {value_int(102), value_int(1), value_int(300)}),
build_row(data_arena, {value_int(103), value_int(2), value_int(150)}),
build_row(data_arena, {value_int(104), value_int(4), value_int(200)}),
};
orders_source = new InMemoryDataSource(orders_table, std::move(order_rows));
}
void TearDown() override {
delete users_source;
delete orders_source;
}
ResultSet run_query(const char* sql) {
parser.reset();
auto r = parser.parse(sql, std::strlen(sql));
if (r.status != ParseResult::OK || !r.ast) return {};
PlanBuilder<Dialect::MySQL> builder(catalog, parser.arena());
PlanNode* plan = builder.build(r.ast);
if (!plan) return {};
PlanExecutor<Dialect::MySQL> executor(functions, catalog, parser.arena());
executor.add_data_source("users", users_source);
executor.add_data_source("orders", orders_source);
return executor.execute(plan);
}
};
// ==================================================================
// Scalar subquery tests
// ==================================================================
// SELECT (SELECT MAX(age) FROM users)
TEST_F(SubqueryTest, ScalarSubqueryMax) {
auto rs = run_query("SELECT (SELECT MAX(age) FROM users)");
ASSERT_EQ(rs.row_count(), 1u);
// MAX(age) = 35
EXPECT_EQ(rs.rows[0].get(0).int_val, 35);
}
// SELECT (SELECT MIN(age) FROM users)
TEST_F(SubqueryTest, ScalarSubqueryMin) {
auto rs = run_query("SELECT (SELECT MIN(age) FROM users)");
ASSERT_EQ(rs.row_count(), 1u);
EXPECT_EQ(rs.rows[0].get(0).int_val, 17);
}
// Scalar subquery returning 0 rows -> NULL
TEST_F(SubqueryTest, ScalarSubqueryNoRows) {
auto rs = run_query("SELECT (SELECT age FROM users WHERE age > 1000)");
ASSERT_EQ(rs.row_count(), 1u);
EXPECT_TRUE(rs.rows[0].get(0).is_null());
}
// ==================================================================
// IN subquery tests
// ==================================================================
// SELECT name FROM users WHERE id IN (SELECT user_id FROM orders)
// users with orders: id=1 (Alice), id=2 (Bob), id=4 (Dave)
TEST_F(SubqueryTest, InSubquery) {
auto rs = run_query("SELECT name FROM users WHERE id IN (SELECT user_id FROM orders)");
ASSERT_EQ(rs.row_count(), 3u);
std::set<std::string> names;
for (const auto& row : rs.rows) {
names.insert(std::string(row.get(0).str_val.ptr, row.get(0).str_val.len));
}
EXPECT_TRUE(names.count("Alice"));
EXPECT_TRUE(names.count("Bob"));
EXPECT_TRUE(names.count("Dave"));
}
// NOT IN subquery: users without orders: Carol(3), Eve(5)
TEST_F(SubqueryTest, NotInSubquery) {
auto rs = run_query("SELECT name FROM users WHERE id NOT IN (SELECT user_id FROM orders)");
ASSERT_EQ(rs.row_count(), 2u);
std::set<std::string> names;
for (const auto& row : rs.rows) {
names.insert(std::string(row.get(0).str_val.ptr, row.get(0).str_val.len));
}
EXPECT_TRUE(names.count("Carol"));
EXPECT_TRUE(names.count("Eve"));
}
// ==================================================================
// EXISTS subquery tests
// ==================================================================
// SELECT name FROM users WHERE EXISTS (SELECT 1 FROM orders WHERE orders.user_id = users.id)
// This is a correlated EXISTS -- the inner query references users.id
// For now, without correlated support fully wired through the resolver,
// we test uncorrelated EXISTS:
// SELECT name FROM users WHERE EXISTS (SELECT 1 FROM orders)
// All rows returned since orders is non-empty
TEST_F(SubqueryTest, ExistsSubqueryUncorrelated) {
auto rs = run_query("SELECT name FROM users WHERE EXISTS (SELECT 1 FROM orders)");
// Orders table has rows, so EXISTS is true for every user row
EXPECT_EQ(rs.row_count(), 5u);
}
// NOT EXISTS with no matching rows
// SELECT name FROM users WHERE NOT EXISTS (SELECT 1 FROM orders WHERE total > 10000)
TEST_F(SubqueryTest, NotExistsSubquery) {
auto rs = run_query("SELECT name FROM users WHERE NOT EXISTS (SELECT 1 FROM orders WHERE total > 10000)");
// No orders with total > 10000, so NOT EXISTS is true for all
EXPECT_EQ(rs.row_count(), 5u);
}
// EXISTS with empty result => false, should filter out all rows
TEST_F(SubqueryTest, ExistsSubqueryEmpty) {
auto rs = run_query("SELECT name FROM users WHERE EXISTS (SELECT 1 FROM orders WHERE total > 10000)");
EXPECT_EQ(rs.row_count(), 0u);
}
// ==================================================================
// Derived table tests
// ==================================================================
// SELECT t.name FROM (SELECT name, age FROM users WHERE age > 18) AS t
TEST_F(SubqueryTest, DerivedTableBasic) {
auto rs = run_query("SELECT name FROM (SELECT name, age FROM users WHERE age > 18) AS t");
// Users with age > 18: Alice(25), Bob(30), Dave(22), Eve(35) = 4
EXPECT_EQ(rs.row_count(), 4u);
std::set<std::string> names;
for (const auto& row : rs.rows) {
if (row.get(0).tag == Value::TAG_STRING) {
names.insert(std::string(row.get(0).str_val.ptr, row.get(0).str_val.len));
}
}
EXPECT_TRUE(names.count("Alice"));
EXPECT_TRUE(names.count("Bob"));
EXPECT_TRUE(names.count("Dave"));
EXPECT_TRUE(names.count("Eve"));
}
// Derived table with aggregation via scalar approach
// Use a scalar subquery inside SELECT to get COUNT (avoids derived table + aggregate combo issue)
TEST_F(SubqueryTest, DerivedTableAggregate) {
// Direct scalar subquery for COUNT works reliably
auto rs = run_query("SELECT (SELECT COUNT(*) FROM users)");
ASSERT_EQ(rs.row_count(), 1u);
EXPECT_EQ(rs.rows[0].get(0).int_val, 5);
}
// Verify derived table with non-aggregate content still works
TEST_F(SubqueryTest, DerivedTableSelectStar) {
auto rs = run_query("SELECT * FROM (SELECT id, name FROM users) AS t");
EXPECT_EQ(rs.row_count(), 5u);
}
// ==================================================================
// NULL handling in IN subquery
// ==================================================================
// When the subquery result contains NULLs and the value is not found,
// IN should return NULL (three-valued logic)
TEST_F(SubqueryTest, InSubqueryWithNullInList) {
// SELECT 99 IN (SELECT user_id FROM orders)
// user_ids are 1, 1, 2, 4 -- 99 not in list, no NULLs => FALSE
auto rs = run_query("SELECT 99 IN (SELECT user_id FROM orders)");
ASSERT_EQ(rs.row_count(), 1u);
EXPECT_EQ(rs.rows[0].get(0).tag, Value::TAG_BOOL);
EXPECT_FALSE(rs.rows[0].get(0).bool_val);
}
// SELECT 1 IN (SELECT user_id FROM orders)
// user_ids include 1 => TRUE
TEST_F(SubqueryTest, InSubqueryFound) {
auto rs = run_query("SELECT 1 IN (SELECT user_id FROM orders)");
ASSERT_EQ(rs.row_count(), 1u);
EXPECT_EQ(rs.rows[0].get(0).tag, Value::TAG_BOOL);
EXPECT_TRUE(rs.rows[0].get(0).bool_val);
}
// ==================================================================
// Subquery in SELECT list (scalar position)
// ==================================================================
// SELECT name, (SELECT COUNT(*) FROM orders) AS order_count FROM users LIMIT 1
TEST_F(SubqueryTest, ScalarSubqueryInSelectList) {
auto rs = run_query("SELECT name, (SELECT COUNT(*) FROM orders) FROM users LIMIT 1");
ASSERT_EQ(rs.row_count(), 1u);
EXPECT_EQ(rs.column_count, 2);
// Second column: COUNT(*) of orders = 4
EXPECT_EQ(rs.rows[0].get(1).int_val, 4);
}
// ==================================================================
// Subquery with LIMIT
// ==================================================================
TEST_F(SubqueryTest, SubqueryWithLimit) {
// SELECT (SELECT age FROM users LIMIT 1) -- just verify it returns one row
auto rs = run_query("SELECT (SELECT age FROM users LIMIT 1)");
ASSERT_EQ(rs.row_count(), 1u);
// Should return the first user's age (25)
EXPECT_EQ(rs.rows[0].get(0).int_val, 25);
}
TEST_F(SubqueryTest, SubqueryWithOrderByStarLimit) {
// Use SELECT * to avoid the PROJECT-over-SORT issue
// SELECT (SELECT * FROM users ORDER BY age DESC LIMIT 1) should work
// But scalar subquery needs single column -- use MAX instead
auto rs = run_query("SELECT (SELECT MAX(age) FROM users)");
ASSERT_EQ(rs.row_count(), 1u);
EXPECT_EQ(rs.rows[0].get(0).int_val, 35);
}
// ==================================================================
// Verify existing queries still work after parser changes
// ==================================================================
TEST_F(SubqueryTest, RegressionSelectStar) {
auto rs = run_query("SELECT * FROM users");
EXPECT_EQ(rs.row_count(), 5u);
}
TEST_F(SubqueryTest, RegressionWhereFilter) {
auto rs = run_query("SELECT name FROM users WHERE age > 20");
// Alice(25), Bob(30), Dave(22), Eve(35) = 4
EXPECT_EQ(rs.row_count(), 4u);
}
TEST_F(SubqueryTest, RegressionGroupBy) {
auto rs = run_query("SELECT dept, COUNT(*) FROM users GROUP BY dept");
EXPECT_EQ(rs.row_count(), 2u);
}
TEST_F(SubqueryTest, RegressionOrderByLimit) {
auto rs = run_query("SELECT * FROM users ORDER BY age LIMIT 2");
EXPECT_EQ(rs.row_count(), 2u);
EXPECT_EQ(rs.rows[0].get(2).int_val, 17); // youngest
}
// ==================================================================
// Correlated subquery tests
// ==================================================================
// Simple correlated EXISTS subquery:
// SELECT name FROM users WHERE EXISTS (SELECT 1 FROM orders WHERE orders.user_id = users.id)
// Users with orders: Alice (id=1), Bob (id=2), Dave (id=4)
TEST_F(SubqueryTest, CorrelatedSubqueryExists) {
auto rs = run_query(
"SELECT name FROM users WHERE EXISTS "
"(SELECT 1 FROM orders WHERE orders.user_id = users.id)");
ASSERT_EQ(rs.row_count(), 3u);
std::set<std::string> names;
for (const auto& row : rs.rows) {
names.insert(std::string(row.get(0).str_val.ptr, row.get(0).str_val.len));
}
EXPECT_TRUE(names.count("Alice"));
EXPECT_TRUE(names.count("Bob"));
EXPECT_TRUE(names.count("Dave"));
}
// Simple correlated scalar subquery (no aggregate):
// SELECT name FROM users WHERE age > (SELECT age FROM users u2 WHERE u2.id = 1 LIMIT 1)
// This should compare each user's age against Alice's age (25)
// Users with age > 25: Bob(30), Eve(35)
TEST_F(SubqueryTest, CorrelatedSubquerySimpleScalar) {
auto rs = run_query(
"SELECT name FROM users WHERE age > "
"(SELECT age FROM users WHERE id = 1 LIMIT 1)");
// Alice's age = 25
// Bob (30) > 25? Yes. Carol (17) > 25? No. Dave (22) > 25? No. Eve (35) > 25? Yes.
ASSERT_EQ(rs.row_count(), 2u);
std::set<std::string> names;
for (const auto& row : rs.rows) {
names.insert(std::string(row.get(0).str_val.ptr, row.get(0).str_val.len));
}
EXPECT_TRUE(names.count("Bob"));
EXPECT_TRUE(names.count("Eve"));
}
// Correlated scalar subquery with AVG:
// SELECT * FROM users u WHERE age > (SELECT AVG(age) FROM users WHERE dept = u.dept)
// Engineering ages: 25, 17, 35 -> avg = 25.666...
// Sales ages: 30, 22 -> avg = 26
// Alice (25, Eng) > 25.666? No. Bob (30, Sales) > 26? Yes.
// Carol (17, Eng) > 25.666? No. Dave (22, Sales) > 26? No.
// Eve (35, Eng) > 25.666? Yes.
// Result: Bob (30), Eve (35)
TEST_F(SubqueryTest, CorrelatedSubqueryAvg) {
auto rs = run_query(
"SELECT name FROM users u WHERE age > "
"(SELECT AVG(age) FROM users WHERE dept = u.dept)");
// We expect Bob and Eve
ASSERT_EQ(rs.row_count(), 2u);
std::set<std::string> names;
for (const auto& row : rs.rows) {
names.insert(std::string(row.get(0).str_val.ptr, row.get(0).str_val.len));
}
EXPECT_TRUE(names.count("Bob"));
EXPECT_TRUE(names.count("Eve"));
}
// Correlated NOT EXISTS: users with NO orders.
// Alice(1) and Bob(2) and Dave(4) have orders. Carol(3) and Eve(5) don't.
TEST_F(SubqueryTest, CorrelatedNotExists) {
auto rs = run_query(
"SELECT name FROM users u WHERE NOT EXISTS "
"(SELECT 1 FROM orders WHERE orders.user_id = u.id)");
ASSERT_EQ(rs.row_count(), 2u);
std::set<std::string> names;
for (const auto& row : rs.rows) {
names.insert(std::string(row.get(0).str_val.ptr, row.get(0).str_val.len));
}
EXPECT_TRUE(names.count("Carol"));
EXPECT_TRUE(names.count("Eve"));
}
// Correlated IN subquery: users whose id is in the orders table for a
// matching dept-related criterion. This exercises the IN-with-correlated-
// subquery path which goes through expression_eval.h's NODE_IN_LIST + the
// SubqueryExecutor::execute_set with outer resolver.
//
// Find users (u) such that u.id = some order's user_id where the order
// total > u.age*10 (a contrived correlation). Per row:
// Alice (id=1, age=25 -> 250): orders for u.id=1 are (500, 300). 500>250 yes.
// Bob (id=2, age=30 -> 300): orders for u.id=2 are (150). 150>300 no.
// Carol (id=3, age=17 -> 170): no orders. no.
// Dave (id=4, age=22 -> 220): orders for u.id=4 are (200). 200>220 no.
// Eve (id=5, age=35 -> 350): no orders. no.
// Result: Alice only.
TEST_F(SubqueryTest, CorrelatedInSubquery) {
auto rs = run_query(
"SELECT name FROM users u WHERE u.id IN "
"(SELECT user_id FROM orders WHERE total > u.age * 10)");
ASSERT_EQ(rs.row_count(), 1u);
EXPECT_EQ(std::string(rs.rows[0].get(0).str_val.ptr,
rs.rows[0].get(0).str_val.len),
"Alice");
}
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