Files
turso/testing/materialized_views.test
Glauber Costa 097510216e implement the projector operator for DBSP
My goal with this patch is to be able to implement the ProjectOperator
for DBSP circuits using VDBE for expression evaluation.

*not* doing so is dangerous for the following reason: we will end up
with different, subtle, and incompatible behavior between SQLite
expressions if they are used in views versus outside of views.

In fact, even in our prototype had them: our projection tests, which
used to pass, were actually wrong =) (sqlite would return something
different if those functions were executed outside the view context)

For optimization reasons, we single out trivial expressions: they don't
have go through VDBE. Trivial expressions are expressions that only
involve Columns, Literals, and simple operators on elements of the same
type. Even type coercion takes this out of the realm of trivial.

Everything that is not trivial, is then translated with translate_expr -
in the same way SQLite will, and then compiled with VDBE.

We can, over time, make this process much better. There are essentially
infinite opportunities for optimization here. But for now, the main
warts are:
* VDBE execution needs a connection
* There is no good way in VDBE to pass parameters to a program.
* It is almost trivial to pollute the original connection. For example,
  we need to issue HALT for the program to stop, but seeing that halt
  will usually cause the program to try and halt the original program.

Subprograms, like the ones we use in triggers are a possible solution,
but they are much more expensive to execute, especially given that our
execution would essentially have to have a program with no other role
than to wrap the subprogram.

Therefore, what I am doing is:
* There is an in-memory database inside the projection operator (an
  obvious optimization is to share it with *all* projection operators).
* We obtain a connection to that database when the operator is created
* We use that connection to execute our VDBE, which offers a clean, safe
  and isolated way to execute the expression.
* We feed the values to the program manually by editing the registers
  directly.
2025-08-25 17:48:17 +03:00

388 lines
9.5 KiB
Tcl
Executable File

#!/usr/bin/env tclsh
set testdir [file dirname $argv0]
source $testdir/tester.tcl
do_execsql_test_on_specific_db {:memory:} matview-basic-filter-population {
CREATE TABLE products(id INTEGER, name TEXT, price INTEGER, category TEXT);
INSERT INTO products VALUES
(1, 'Laptop', 1200, 'Electronics'),
(2, 'Mouse', 25, 'Electronics'),
(3, 'Desk', 350, 'Furniture'),
(4, 'Chair', 150, 'Furniture'),
(5, 'Monitor', 400, 'Electronics'),
(6, 'Keyboard', 75, 'Electronics');
CREATE MATERIALIZED VIEW expensive_items AS
SELECT * FROM products WHERE price > 200;
SELECT id, name, price FROM expensive_items ORDER BY id;
} {1|Laptop|1200
3|Desk|350
5|Monitor|400}
do_execsql_test_on_specific_db {:memory:} matview-aggregation-population {
CREATE TABLE sales(product_id INTEGER, quantity INTEGER, day INTEGER);
INSERT INTO sales VALUES
(1, 2, 1),
(2, 5, 1),
(1, 1, 2),
(3, 1, 2),
(2, 3, 3),
(1, 1, 3);
CREATE MATERIALIZED VIEW daily_totals AS
SELECT day, SUM(quantity) as total, COUNT(*) as transactions
FROM sales
GROUP BY day;
SELECT * FROM daily_totals ORDER BY day;
} {1|7|2
2|2|2
3|4|2}
do_execsql_test_on_specific_db {:memory:} matview-filter-with-groupby {
CREATE TABLE t(a INTEGER, b INTEGER);
INSERT INTO t(a,b) VALUES (2,2), (3,3), (6,6), (7,7);
CREATE MATERIALIZED VIEW v AS
SELECT b as yourb, SUM(a) as mysum, COUNT(a) as mycount
FROM t
WHERE b > 2
GROUP BY b;
SELECT * FROM v ORDER BY yourb;
} {3|3|1
6|6|1
7|7|1}
do_execsql_test_on_specific_db {:memory:} matview-insert-maintenance {
CREATE TABLE t(a INTEGER, b INTEGER);
CREATE MATERIALIZED VIEW v AS
SELECT b, SUM(a) as total, COUNT(*) as cnt
FROM t
WHERE b > 2
GROUP BY b;
INSERT INTO t VALUES (3,3), (6,6);
SELECT * FROM v ORDER BY b;
INSERT INTO t VALUES (4,3), (5,6);
SELECT * FROM v ORDER BY b;
INSERT INTO t VALUES (1,1), (2,2);
SELECT * FROM v ORDER BY b;
} {3|3|1
6|6|1
3|7|2
6|11|2
3|7|2
6|11|2}
do_execsql_test_on_specific_db {:memory:} matview-delete-maintenance {
CREATE TABLE items(id INTEGER, category TEXT, amount INTEGER);
INSERT INTO items VALUES
(1, 'A', 10),
(2, 'B', 20),
(3, 'A', 30),
(4, 'B', 40),
(5, 'A', 50);
CREATE MATERIALIZED VIEW category_sums AS
SELECT category, SUM(amount) as total, COUNT(*) as cnt
FROM items
GROUP BY category;
SELECT * FROM category_sums ORDER BY category;
DELETE FROM items WHERE id = 3;
SELECT * FROM category_sums ORDER BY category;
DELETE FROM items WHERE category = 'B';
SELECT * FROM category_sums ORDER BY category;
} {A|90|3
B|60|2
A|60|2
B|60|2
A|60|2}
do_execsql_test_on_specific_db {:memory:} matview-update-maintenance {
CREATE TABLE records(id INTEGER, value INTEGER, status INTEGER);
INSERT INTO records VALUES
(1, 100, 1),
(2, 200, 2),
(3, 300, 1),
(4, 400, 2);
CREATE MATERIALIZED VIEW status_totals AS
SELECT status, SUM(value) as total, COUNT(*) as cnt
FROM records
GROUP BY status;
SELECT * FROM status_totals ORDER BY status;
UPDATE records SET value = 150 WHERE id = 1;
SELECT * FROM status_totals ORDER BY status;
UPDATE records SET status = 2 WHERE id = 3;
SELECT * FROM status_totals ORDER BY status;
} {1|400|2
2|600|2
1|450|2
2|600|2
1|150|1
2|900|3}
do_execsql_test_on_specific_db {:memory:} matview-integer-primary-key-basic {
CREATE TABLE t(a INTEGER PRIMARY KEY, b INTEGER);
INSERT INTO t(a,b) VALUES (2,2), (3,3), (6,6), (7,7);
CREATE MATERIALIZED VIEW v AS
SELECT * FROM t WHERE b > 2;
SELECT * FROM v ORDER BY a;
} {3|3
6|6
7|7}
do_execsql_test_on_specific_db {:memory:} matview-integer-primary-key-update-rowid {
CREATE TABLE t(a INTEGER PRIMARY KEY, b INTEGER);
INSERT INTO t(a,b) VALUES (2,2), (3,3), (6,6), (7,7);
CREATE MATERIALIZED VIEW v AS
SELECT * FROM t WHERE b > 2;
SELECT * FROM v ORDER BY a;
UPDATE t SET a = 1 WHERE b = 3;
SELECT * FROM v ORDER BY a;
UPDATE t SET a = 10 WHERE a = 6;
SELECT * FROM v ORDER BY a;
} {3|3
6|6
7|7
1|3
6|6
7|7
1|3
7|7
10|6}
do_execsql_test_on_specific_db {:memory:} matview-integer-primary-key-update-value {
CREATE TABLE t(a INTEGER PRIMARY KEY, b INTEGER);
INSERT INTO t(a,b) VALUES (2,2), (3,3), (6,6), (7,7);
CREATE MATERIALIZED VIEW v AS
SELECT * FROM t WHERE b > 2;
SELECT * FROM v ORDER BY a;
UPDATE t SET b = 1 WHERE a = 6;
SELECT * FROM v ORDER BY a;
UPDATE t SET b = 5 WHERE a = 2;
SELECT * FROM v ORDER BY a;
} {3|3
6|6
7|7
3|3
7|7
2|5
3|3
7|7}
do_execsql_test_on_specific_db {:memory:} matview-integer-primary-key-with-aggregation {
CREATE TABLE t(a INTEGER PRIMARY KEY, b INTEGER, c INTEGER);
INSERT INTO t VALUES
(1, 10, 100),
(2, 10, 200),
(3, 20, 300),
(4, 20, 400),
(5, 10, 500);
CREATE MATERIALIZED VIEW v AS
SELECT b, SUM(c) as total, COUNT(*) as cnt
FROM t
WHERE a > 2
GROUP BY b;
SELECT * FROM v ORDER BY b;
UPDATE t SET a = 6 WHERE a = 1;
SELECT * FROM v ORDER BY b;
DELETE FROM t WHERE a = 3;
SELECT * FROM v ORDER BY b;
} {10|500|1
20|700|2
10|600|2
20|700|2
10|600|2
20|400|1}
do_execsql_test_on_specific_db {:memory:} matview-complex-filter-aggregation {
CREATE TABLE transactions(
id INTEGER,
account INTEGER,
amount INTEGER,
type INTEGER
);
INSERT INTO transactions VALUES
(1, 100, 50, 1),
(2, 100, 30, 2),
(3, 200, 100, 1),
(4, 100, 20, 1),
(5, 200, 40, 2),
(6, 300, 60, 1);
CREATE MATERIALIZED VIEW account_deposits AS
SELECT account, SUM(amount) as total_deposits, COUNT(*) as deposit_count
FROM transactions
WHERE type = 1
GROUP BY account;
SELECT * FROM account_deposits ORDER BY account;
INSERT INTO transactions VALUES (7, 100, 25, 1);
SELECT * FROM account_deposits ORDER BY account;
UPDATE transactions SET amount = 80 WHERE id = 1;
SELECT * FROM account_deposits ORDER BY account;
DELETE FROM transactions WHERE id = 3;
SELECT * FROM account_deposits ORDER BY account;
} {100|70|2
200|100|1
300|60|1
100|95|3
200|100|1
300|60|1
100|125|3
200|100|1
300|60|1
100|125|3
300|60|1}
do_execsql_test_on_specific_db {:memory:} matview-sum-count-only {
CREATE TABLE data(id INTEGER, value INTEGER, category INTEGER);
INSERT INTO data VALUES
(1, 10, 1),
(2, 20, 1),
(3, 30, 2),
(4, 40, 2),
(5, 50, 1);
CREATE MATERIALIZED VIEW category_stats AS
SELECT category,
SUM(value) as sum_val,
COUNT(*) as cnt
FROM data
GROUP BY category;
SELECT * FROM category_stats ORDER BY category;
INSERT INTO data VALUES (6, 5, 1);
SELECT * FROM category_stats ORDER BY category;
UPDATE data SET value = 35 WHERE id = 3;
SELECT * FROM category_stats ORDER BY category;
} {1|80|3
2|70|2
1|85|4
2|70|2
1|85|4
2|75|2}
do_execsql_test_on_specific_db {:memory:} matview-empty-table-population {
CREATE TABLE t(a INTEGER, b INTEGER);
CREATE MATERIALIZED VIEW v AS
SELECT b, SUM(a) as total, COUNT(*) as cnt
FROM t
WHERE b > 5
GROUP BY b;
SELECT COUNT(*) FROM v;
INSERT INTO t VALUES (1, 3), (2, 7), (3, 9);
SELECT * FROM v ORDER BY b;
} {0
7|2|1
9|3|1}
do_execsql_test_on_specific_db {:memory:} matview-all-rows-filtered {
CREATE TABLE t(a INTEGER, b INTEGER);
INSERT INTO t VALUES (1, 1), (2, 2), (3, 3);
CREATE MATERIALIZED VIEW v AS
SELECT * FROM t WHERE b > 10;
SELECT COUNT(*) FROM v;
INSERT INTO t VALUES (11, 11);
SELECT * FROM v;
UPDATE t SET b = 1 WHERE a = 11;
SELECT COUNT(*) FROM v;
} {0
11|11
0}
do_execsql_test_on_specific_db {:memory:} matview-mixed-operations-sequence {
CREATE TABLE orders(
order_id INTEGER PRIMARY KEY,
customer_id INTEGER,
amount INTEGER
);
INSERT INTO orders VALUES (1, 100, 50);
INSERT INTO orders VALUES (2, 200, 75);
CREATE MATERIALIZED VIEW customer_totals AS
SELECT customer_id, SUM(amount) as total, COUNT(*) as order_count
FROM orders
GROUP BY customer_id;
SELECT * FROM customer_totals ORDER BY customer_id;
INSERT INTO orders VALUES (3, 100, 25);
SELECT * FROM customer_totals ORDER BY customer_id;
UPDATE orders SET amount = 100 WHERE order_id = 2;
SELECT * FROM customer_totals ORDER BY customer_id;
DELETE FROM orders WHERE order_id = 1;
SELECT * FROM customer_totals ORDER BY customer_id;
INSERT INTO orders VALUES (4, 300, 150);
SELECT * FROM customer_totals ORDER BY customer_id;
} {100|50|1
200|75|1
100|75|2
200|75|1
100|75|2
200|100|1
100|25|1
200|100|1
100|25|1
200|100|1
300|150|1}
do_execsql_test_on_specific_db {:memory:} matview-projections {
CREATE TABLE t(a,b);
CREATE MATERIALIZED VIEW v AS
SELECT b, a, b + a as c , (b * a) + 10 as d , min(a,b) as e
FROM t
where b > 2;
INSERT INTO t VALUES (1, 1);
INSERT INTO t VALUES (2, 2);
INSERT INTO t VALUES (3, 4);
INSERT INTO t VALUES (4, 3);
SELECT * from v;
} {4|3|7|22|3
3|4|7|22|3}