Skip to content
Navigation Menu
{{ message }}
-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathtest_subquery.cpp
More file actions
410 lines (361 loc) · 16.5 KB
/
Copy pathtest_subquery.cpp
File metadata and controls
410 lines (361 loc) · 16.5 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
#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");
}
You can’t perform that action at this time.