Here are some tests taken from the SQL in the postgres manual. Almost all of the postgres specific syntax has been skipped, this can be revisited when the dialect support is added. > module Language.SQL.SimpleSQL.Postgres (postgresTests) where > import Language.SQL.SimpleSQL.TestTypes > import Language.SQL.SimpleSQL.Syntax > postgresTests :: TestItem > postgresTests = Group "postgresTests" > [ > ] lexical syntax SELECT 'foo' 'bar'; -> if there is a newline, this parses to select 'foobar' SELECT name, (SELECT max(pop) FROM cities WHERE cities.state = states.name) FROM states; SELECT ROW(1,2.5,'this is a test'); SELECT ROW(t.*, 42) FROM t; -- needs the .* parsing to be enabled in more contexts SELECT ROW(t.f1, t.f2, 42) FROM t; SELECT getf1(CAST(ROW(11,'this is a test',2.5) AS myrowtype)); SELECT ROW(1,2.5,'this is a test') = ROW(1, 3, 'not the same'); SELECT ROW(table.*) IS NULL FROM table; SELECT true OR somefunc(); SELECT somefunc() OR true; queries SELECT * FROM t1 CROSS JOIN t2; SELECT * FROM t1 INNER JOIN t2 ON t1.num = t2.num; SELECT * FROM t1 INNER JOIN t2 USING (num); SELECT * FROM t1 NATURAL INNER JOIN t2; SELECT * FROM t1 LEFT JOIN t2 ON t1.num = t2.num; SELECT * FROM t1 LEFT JOIN t2 USING (num); SELECT * FROM t1 RIGHT JOIN t2 ON t1.num = t2.num; SELECT * FROM t1 FULL JOIN t2 ON t1.num = t2.num; SELECT * FROM t1 LEFT JOIN t2 ON t1.num = t2.num AND t2.value = 'xxx'; SELECT * FROM t1 LEFT JOIN t2 ON t1.num = t2.num WHERE t2.value = 'xxx'; > {-f = mapM_ (putStrLn . either peFormattedError show . parseQueryExpr "" Nothing) > ["SELECT * FROM t1 CROSS JOIN t2;" > ,"SELECT * FROM t1 INNER JOIN t2 ON t1.num = t2.num;" > ,"SELECT * FROM t1 INNER JOIN t2 USING (num);" > ,"SELECT * FROM t1 NATURAL INNER JOIN t2;" > ,"SELECT * FROM t1 LEFT JOIN t2 ON t1.num = t2.num;" > ,"SELECT * FROM t1 LEFT JOIN t2 USING (num);" > ,"SELECT * FROM t1 RIGHT JOIN t2 ON t1.num = t2.num;" > ,"SELECT * FROM t1 FULL JOIN t2 ON t1.num = t2.num;" > ,"SELECT * FROM t1 LEFT JOIN t2 ON t1.num = t2.num AND t2.value = 'xxx';" > - ,"SELECT * FROM t1 LEFT JOIN t2 ON t1.num = t2.num WHERE t2.value = 'xxx';"]-} SELECT * FROM some_very_long_table_name s JOIN another_fairly_long_name a ON s.id = a.num; SELECT * FROM people AS mother JOIN people AS child ON mother.id = child.mother_id; SELECT * FROM my_table AS a CROSS JOIN my_table AS b; SELECT * FROM (my_table AS a CROSS JOIN my_table) AS b; SELECT * FROM getfoo(1) AS t1; SELECT * FROM foo WHERE foosubid IN ( SELECT foosubid FROM getfoo(foo.fooid) z WHERE z.fooid = foo.fooid ); SELECT * FROM dblink('dbname=mydb', 'SELECT proname, prosrc FROM pg_proc') AS t1(proname name, prosrc text) WHERE proname LIKE 'bytea%'; SELECT * FROM foo, LATERAL (SELECT * FROM bar WHERE bar.id = foo.bar_id) ss; SELECT * FROM foo, bar WHERE bar.id = foo.bar_id; SELECT p1.id, p2.id, v1, v2 FROM polygons p1, polygons p2, LATERAL vertices(p1.poly) v1, LATERAL vertices(p2.poly) v2 WHERE (v1 <-> v2) < 10 AND p1.id != p2.id; SELECT p1.id, p2.id, v1, v2 FROM polygons p1 CROSS JOIN LATERAL vertices(p1.poly) v1, polygons p2 CROSS JOIN LATERAL vertices(p2.poly) v2 WHERE (v1 <-> v2) < 10 AND p1.id != p2.id; SELECT m.name FROM manufacturers m LEFT JOIN LATERAL get_product_names(m.id) pname ON true WHERE pname IS NULL; SELECT * FROM fdt WHERE c1 > 5 SELECT * FROM fdt WHERE c1 IN (1, 2, 3) SELECT * FROM fdt WHERE c1 IN (SELECT c1 FROM t2) SELECT * FROM fdt WHERE c1 IN (SELECT c3 FROM t2 WHERE c2 = fdt.c1 + 10) SELECT * FROM fdt WHERE c1 BETWEEN (SELECT c3 FROM t2 WHERE c2 = fdt.c1 + 10) AND 100 SELECT * FROM fdt WHERE EXISTS (SELECT c1 FROM t2 WHERE c2 > fdt.c1) SELECT * FROM test1; SELECT x FROM test1 GROUP BY x; SELECT x, sum(y) FROM test1 GROUP BY x; SELECT product_id, p.name, (sum(s.units) * p.price) AS sales FROM products p LEFT JOIN sales s USING (product_id) GROUP BY product_id, p.name, p.price; SELECT x, sum(y) FROM test1 GROUP BY x HAVING sum(y) > 3; SELECT x, sum(y) FROM test1 GROUP BY x HAVING x < 'c'; SELECT product_id, p.name, (sum(s.units) * (p.price - p.cost)) AS profit FROM products p LEFT JOIN sales s USING (product_id) WHERE s.date > CURRENT_DATE - INTERVAL '4 weeks' GROUP BY product_id, p.name, p.price, p.cost HAVING sum(p.price * s.units) > 5000; SELECT a, b, c FROM t SELECT tbl1.a, tbl2.a, tbl1.b FROM t SELECT tbl1.*, tbl2.a FROM t SELECT a AS value, b + c AS sum FROM t -- bad keyword --SELECT a value, b + c AS sum FROM ... SELECT a "value", b + c AS sum FROM t SELECT DISTINCT select_list t VALUES (1, 'one'), (2, 'two'), (3, 'three'); SELECT 1 AS column1, 'one' AS column2 UNION ALL SELECT 2, 'two' UNION ALL SELECT 3, 'three'; SELECT * FROM (VALUES (1, 'one'), (2, 'two'), (3, 'three')) AS t (num,letter); WITH regional_sales AS ( SELECT region, SUM(amount) AS total_sales FROM orders GROUP BY region ), top_regions AS ( SELECT region FROM regional_sales WHERE total_sales > (SELECT SUM(total_sales)/10 FROM regional_sales) ) SELECT region, product, SUM(quantity) AS product_units, SUM(amount) AS product_sales FROM orders WHERE region IN (SELECT region FROM top_regions) GROUP BY region, product; WITH RECURSIVE t(n) AS ( VALUES (1) UNION ALL SELECT n+1 FROM t WHERE n < 100 ) SELECT sum(n) FROM t WITH RECURSIVE included_parts(sub_part, part, quantity) AS ( SELECT sub_part, part, quantity FROM parts WHERE part = 'our_product' UNION ALL SELECT p.sub_part, p.part, p.quantity FROM included_parts pr, parts p WHERE p.part = pr.sub_part ) SELECT sub_part, SUM(quantity) as total_quantity FROM included_parts GROUP BY sub_part WITH RECURSIVE search_graph(id, link, data, depth) AS ( SELECT g.id, g.link, g.data, 1 FROM graph g UNION ALL SELECT g.id, g.link, g.data, sg.depth + 1 FROM graph g, search_graph sg WHERE g.id = sg.link ) SELECT * FROM search_graph; WITH RECURSIVE search_graph(id, link, data, depth, path, cycle) AS ( SELECT g.id, g.link, g.data, 1, ARRAY[g.id], false FROM graph g UNION ALL SELECT g.id, g.link, g.data, sg.depth + 1, path || g.id, g.id = ANY(path) FROM graph g, search_graph sg WHERE g.id = sg.link AND NOT cycle ) SELECT * FROM search_graph; WITH RECURSIVE search_graph(id, link, data, depth, path, cycle) AS ( SELECT g.id, g.link, g.data, 1, ARRAY[ROW(g.f1, g.f2)], false FROM graph g UNION ALL SELECT g.id, g.link, g.data, sg.depth + 1, path || ROW(g.f1, g.f2), ROW(g.f1, g.f2) = ANY(path) FROM graph g, search_graph sg WHERE g.id = sg.link AND NOT cycle ) SELECT * FROM search_graph; WITH RECURSIVE t(n) AS ( SELECT 1 UNION ALL SELECT n+1 FROM t ) SELECT n FROM t LIMIT 100; select page reference SELECT f.title, f.did, d.name, f.date_prod, f.kind FROM distributors d, films f WHERE f.did = d.did SELECT kind, sum(len) AS total FROM films GROUP BY kind HAVING sum(len) < interval '5 hours'; SELECT * FROM distributors ORDER BY name; SELECT * FROM distributors ORDER BY 2; SELECT distributors.name FROM distributors WHERE distributors.name LIKE 'W%' UNION SELECT actors.name FROM actors WHERE actors.name LIKE 'W%'; WITH t AS ( SELECT random() as x FROM generate_series(1, 3) ) SELECT * FROM t UNION ALL SELECT * FROM t WITH RECURSIVE employee_recursive(distance, employee_name, manager_name) AS ( SELECT 1, employee_name, manager_name FROM employee WHERE manager_name = 'Mary' UNION ALL SELECT er.distance + 1, e.employee_name, e.manager_name FROM employee_recursive er, employee e WHERE er.employee_name = e.manager_name ) SELECT distance, employee_name FROM employee_recursive; SELECT m.name AS mname, pname FROM manufacturers m, LATERAL get_product_names(m.id) pname; SELECT m.name AS mname, pname FROM manufacturers m LEFT JOIN LATERAL get_product_names(m.id) pname ON true; SELECT 2+2; SELECT distributors.* WHERE distributors.name = 'Westward';