How to use check_result method in hypothesis

Best Python code snippet using hypothesis

query_tests.py

Source:query_tests.py

...29 query = """30 emp = SCAN(%s);31 STORE(emp, OUTPUT);32 """ % self.emp_key33 self.check_result(query, self.emp_table)34 def test_scan_dept(self):35 query = """36 dept = SCAN(%s);37 STORE(dept, OUTPUT);38 """ % self.dept_key39 self.check_result(query, self.dept_table)40 def test_bag_comp_emit_star(self):41 query = """42 emp = SCAN(%s);43 bc = [FROM emp EMIT *];44 STORE(bc, OUTPUT);45 """ % self.emp_key46 self.check_result(query, self.emp_table)47 def test_bag_comp_emit_table_wildcard(self):48 query = """49 emp = SCAN(%s);50 bc = [FROM emp EMIT emp.*];51 STORE(bc, OUTPUT);52 """ % self.emp_key53 self.check_result(query, self.emp_table)54 def test_hybrid_emit_clause(self):55 query = """56 emp = SCAN(%s);57 dept = SCAN(%s);58 x = [FROM dept, emp as X EMIT 5, X.salary * 2 AS k, X.*, *];59 STORE(x, OUTPUT);60 """ % (self.emp_key, self.dept_key)61 expected = [(5, e[3] * 2) + e + d + e for e in self.emp_table62 for d in self.dept_table]63 self.check_result(query, collections.Counter(expected))64 salary_filter_query = """65 emp = SCAN(%s);66 rich = [FROM emp WHERE %s > 25 * 10 * 10 * (5 + 5) EMIT *];67 STORE(rich, OUTPUT);68 """69 salary_expected_result = collections.Counter(70 [x for x in FakeData.emp_table.elements() if x[3] > 25000])71 def test_bag_comp_filter_large_salary_by_name(self):72 query = TestQueryFunctions.salary_filter_query % (self.emp_key,73 'salary')74 self.check_result(query, TestQueryFunctions.salary_expected_result)75 def test_bag_comp_filter_large_salary_by_position(self):76 query = TestQueryFunctions.salary_filter_query % (self.emp_key, '$3')77 self.check_result(query, TestQueryFunctions.salary_expected_result)78 def test_bag_comp_filter_empty_result(self):79 query = """80 emp = SCAN(%s);81 poor = [FROM emp WHERE $3 < (5 * 2) EMIT *];82 STORE(poor, OUTPUT);83 """ % self.emp_key84 expected = collections.Counter()85 self.check_result(query, expected)86 def test_bag_comp_filter_column_compare_ge(self):87 query = """88 emp = SCAN(%s);89 out = [FROM emp WHERE 2 * $1 >= $0 EMIT *];90 STORE(out, OUTPUT);91 """ % self.emp_key92 expected = collections.Counter(93 [x for x in self.emp_table.elements() if 2 * x[1] >= x[0]])94 self.check_result(query, expected)95 def test_bag_comp_filter_column_compare_ge2(self):96 query = u"""97 emp = SCAN(%s);98 out = [FROM emp WHERE 2 * $1 ≥ $0 EMIT *];99 STORE(out, OUTPUT);100 """ % self.emp_key101 expected = collections.Counter(102 [x for x in self.emp_table.elements() if 2 * x[1] >= x[0]])103 self.check_result(query, expected)104 def test_bag_comp_filter_column_compare_le(self):105 query = """106 emp = SCAN(%s);107 out = [FROM emp WHERE $1 <= 2 * $0 EMIT *];108 STORE(out, OUTPUT);109 """ % self.emp_key110 expected = collections.Counter(111 [x for x in self.emp_table.elements() if x[1] <= 2 * x[0]])112 self.check_result(query, expected)113 def test_bag_comp_filter_column_compare_le2(self):114 query = u"""115 emp = SCAN(%s);116 out = [FROM emp WHERE $1 ≤ 2 * $0 EMIT *];117 STORE(out, OUTPUT);118 """ % self.emp_key119 expected = collections.Counter(120 [x for x in self.emp_table.elements() if x[1] <= 2 * x[0]])121 self.check_result(query, expected)122 def test_bag_comp_filter_column_compare_gt(self):123 query = """124 emp = SCAN(%s);125 out = [FROM emp WHERE 2 * $1 > $0 EMIT *];126 STORE(out, OUTPUT);127 """ % self.emp_key128 expected = collections.Counter(129 [x for x in self.emp_table.elements() if 2 * x[1] > x[0]])130 self.check_result(query, expected)131 def test_bag_comp_filter_column_compare_lt(self):132 query = """133 emp = SCAN(%s);134 out = [FROM emp WHERE $1 < 2 * $0 EMIT *];135 STORE(out, OUTPUT);136 """ % self.emp_key137 expected = collections.Counter(138 [x for x in self.emp_table.elements() if x[1] < 2 * x[0]])139 self.check_result(query, expected)140 def test_bag_comp_filter_column_compare_eq(self):141 query = """142 emp = SCAN(%s);143 out = [FROM emp WHERE $0 * 2 == $1 EMIT *];144 STORE(out, OUTPUT);145 """ % self.emp_key146 expected = collections.Counter(147 [x for x in self.emp_table.elements() if x[0] * 2 == x[1]])148 self.check_result(query, expected)149 def test_bag_comp_filter_column_compare_ne(self):150 query = """151 emp = SCAN(%s);152 out = [FROM emp WHERE $0 /​/​ $1 != $1 EMIT *];153 STORE(out, OUTPUT);154 """ % self.emp_key155 expected = collections.Counter(156 [x for x in self.emp_table.elements() if x[0] /​ x[1] != x[1]])157 self.check_result(query, expected)158 def test_bag_comp_filter_column_compare_ne2(self):159 query = """160 emp = SCAN(%s);161 out = [FROM emp WHERE $0 /​/​ $1 <> $1 EMIT *];162 STORE(out, OUTPUT);163 """ % self.emp_key164 expected = collections.Counter(165 [x for x in self.emp_table.elements() if x[0] /​ x[1] != x[1]])166 self.check_result(query, expected)167 def test_bag_comp_filter_column_compare_ne3(self):168 query = u"""169 emp = SCAN(%s);170 out = [FROM emp WHERE $0 /​/​ $1 ≠ $1 EMIT *];171 STORE(out, OUTPUT);172 """ % self.emp_key173 expected = collections.Counter(174 [x for x in self.emp_table.elements() if x[0] /​ x[1] != x[1]])175 self.check_result(query, expected)176 def test_bag_comp_filter_minus(self):177 query = """178 emp = SCAN(%s);179 out = [FROM emp WHERE $0 + -$1 == $1 EMIT *];180 STORE(out, OUTPUT);181 """ % self.emp_key182 expected = collections.Counter(183 [x for x in self.emp_table.elements() if x[0] - x[1] == x[1]])184 self.check_result(query, expected)185 def test_bag_comp_filter_and(self):186 query = """187 emp = SCAN(%s);188 out = [FROM emp WHERE salary == 25000 AND id > dept_id EMIT *];189 STORE(out, OUTPUT);190 """ % self.emp_key191 expected = collections.Counter(192 [x for x in self.emp_table.elements() if x[3] == 25000 and193 x[0] > x[1]])194 self.check_result(query, expected)195 def test_bag_comp_filter_or(self):196 query = """197 emp = SCAN(%s);198 out = [FROM emp WHERE $3 > 25 * 1000 OR id > dept_id EMIT *];199 STORE(out, OUTPUT);200 """ % self.emp_key201 expected = collections.Counter(202 [x for x in self.emp_table.elements() if x[3] > 25000 or203 x[0] > x[1]])204 self.check_result(query, expected)205 def test_bag_comp_filter_not(self):206 query = """207 emp = SCAN(%s);208 out = [FROM emp WHERE not salary > 25000 EMIT *];209 STORE(out, OUTPUT);210 """ % self.emp_key211 expected = collections.Counter(212 [x for x in self.emp_table.elements() if not x[3] > 25000])213 self.check_result(query, expected)214 def test_bag_comp_filter_or_and(self):215 query = """216 emp = SCAN(%s);217 out = [FROM emp WHERE salary == 25000 OR salary == 5000 AND218 dept_id == 1 EMIT *];219 STORE(out, OUTPUT);220 """ % self.emp_key221 expected = collections.Counter(222 [x for x in self.emp_table.elements() if x[3] == 25000 or223 (x[3] == 5000 and x[1] == 1)])224 self.check_result(query, expected)225 def test_bag_comp_filter_or_and_not(self):226 query = """227 emp = SCAN(%s);228 out = [FROM emp WHERE salary == 25000 OR NOT salary == 5000 AND229 dept_id == 1 EMIT *];230 STORE(out, OUTPUT);231 """ % self.emp_key232 expected = collections.Counter(233 [x for x in self.emp_table.elements() if x[3] == 25000 or not234 x[3] == 5000 and x[1] == 1])235 self.check_result(query, expected)236 def test_bag_comp_emit_columns(self):237 query = """238 emp = SCAN(%s);239 out = [FROM emp WHERE dept_id == 1 EMIT $2, salary AS salary];240 STORE(out, OUTPUT);241 """ % self.emp_key242 expected = collections.Counter(243 [(x[2], x[3]) for x in self.emp_table.elements() if x[1] == 1])244 self.check_result(query, expected)245 def test_bag_comp_emit_literal(self):246 query = """247 emp = SCAN(%s);248 out = [FROM emp EMIT salary, "bugga bugga"];249 STORE(out, OUTPUT);250 """ % self.emp_key251 expected = collections.Counter(252 [(x[3], "bugga bugga") for x in self.emp_table.elements()])253 self.check_result(query, expected)254 def test_bag_comp_emit_with_math(self):255 query = """256 emp = SCAN(%s);257 out = [FROM emp EMIT salary + 5000, salary - 5000, salary /​/​ 5000,258 salary * 5000];259 STORE(out, OUTPUT);260 """ % self.emp_key261 expected = collections.Counter(262 [(x[3] + 5000, x[3] - 5000, x[3] /​ 5000, x[3] * 5000)263 for x in self.emp_table.elements()])264 self.check_result(query, expected)265 def test_bag_comp_rename(self):266 query = """267 emp = SCAN(%s);268 out = [FROM emp EMIT name, salary * 2 AS double_salary];269 out = [FROM out WHERE double_salary > 10000 EMIT *];270 STORE(out, OUTPUT);271 """ % self.emp_key272 expected = collections.Counter(273 [(x[2], x[3] * 2) for x in self.emp_table.elements() if274 x[3] * 2 > 10000])275 self.check_result(query, expected)276 join_expected = collections.Counter(277 [('Bill Howe', 'human resources'),278 ('Dan Halperin', 'accounting'),279 ('Andrew Whitaker', 'accounting'),280 ('Shumo Chu', 'human resources'),281 ('Victor Almeida', 'accounting'),282 ('Dan Suciu', 'engineering'),283 ('Magdalena Balazinska', 'accounting')])284 def test_explicit_join_unicode(self):285 query = u"""286 emp = SCAN(%s);287 dept = SCAN(%s);288 out = JOIN(emp, dept_id, dept, id);289 out2 = [FROM out EMIT $2 AS emp_name, $5 AS dept_name];290 STORE(out2, OUTPUT);291 """ % (self.emp_key, self.dept_key)292 self.check_result(query, self.join_expected)293 def test_explicit_join(self):294 query = """295 emp = SCAN(%s);296 dept = SCAN(%s);297 out = JOIN(emp, dept_id, dept, id);298 out2 = [FROM out EMIT $2 AS emp_name, $5 AS dept_name];299 STORE(out2, OUTPUT);300 """ % (self.emp_key, self.dept_key)301 self.check_result(query, self.join_expected)302 def test_explicit_join_twocols(self):303 query = """304 query = [1 as dept_id, 25000 as salary];305 emp = SCAN({emp});306 out = JOIN(query, (dept_id, salary), emp, (dept_id, salary));307 out2 = [FROM out EMIT name];308 STORE(out2, OUTPUT);309 """.format(emp=self.emp_key)310 expected = collections.Counter([('Victor Almeida',),311 ('Magdalena Balazinska',)])312 self.check_result(query, expected)313 def test_bagcomp_join_via_names(self):314 query = """315 out = [FROM SCAN(%s) E, SCAN(%s) AS D WHERE E.dept_id == D.id316 EMIT E.name AS emp_name, D.name AS dept_name];317 STORE(out, OUTPUT);318 """ % (self.emp_key, self.dept_key)319 self.check_result(query, self.join_expected)320 def test_bagcomp_join_via_pos(self):321 query = """322 E = SCAN(%s);323 D = SCAN(%s);324 out = [FROM E, D WHERE E.$1 == D.$0325 EMIT E.name AS emp_name, D.$1 AS dept_name];326 STORE(out, OUTPUT);327 """ % (self.emp_key, self.dept_key)328 self.check_result(query, self.join_expected)329 def test_two_column_join(self):330 query = """331 D = [1 as dept_id, 25000 as salary];332 out = [FROM D, SCAN({emp}) E333 WHERE E.dept_id == D.dept_id AND E.salary == D.salary334 EMIT E.name AS emp_name];335 STORE(out, OUTPUT);336 """.format(emp=self.emp_key)337 expected = collections.Counter([('Victor Almeida',),338 ('Magdalena Balazinska',)])339 self.check_result(query, expected)340 def test_join_with_select(self):341 query = """342 out = [FROM SCAN(%s) AS D, SCAN(%s) E343 WHERE E.dept_id == D.id AND E.salary < 6000344 EMIT E.name AS emp_name, D.name AS dept_name];345 STORE(out, OUTPUT);346 """ % (self.dept_key, self.emp_key)347 expected = collections.Counter([('Andrew Whitaker', 'accounting'),348 ('Shumo Chu', 'human resources')])349 self.check_result(query, expected)350 def test_join_with_reordering(self):351 # Try both FROM orders of the query and verify they both get the352 # correct answer.353 query = """354 out = [FROM SCAN({d}) AS D, SCAN({e}) E355 WHERE E.dept_id == D.id AND E.salary < 6000356 EMIT E.name, D.id];357 STORE(out, OUTPUT);358 """.format(d=self.dept_key, e=self.emp_key)359 expected = collections.Counter([('Andrew Whitaker', 1),360 ('Shumo Chu', 2)])361 self.check_result(query, expected)362 # Swap E and D363 query = """364 out = [FROM SCAN({e}) E, SCAN({d}) AS D365 WHERE E.dept_id == D.id AND E.salary < 6000366 EMIT E.name, D.id];367 STORE(out, OUTPUT);368 """.format(d=self.dept_key, e=self.emp_key)369 expected = collections.Counter([('Andrew Whitaker', 1),370 ('Shumo Chu', 2)])371 self.check_result(query, expected)372 def test_sql_join(self):373 """SQL-style select-from-where join"""374 query = """375 E = SCAN(%s);376 D = SCAN(%s);377 out = SELECT E.name, D.name FROM E, D WHERE E.dept_id = D.id;378 STORE(out, OUTPUT);379 """ % (self.emp_key, self.dept_key)380 self.check_result(query, self.join_expected)381 def test_bagcomp_nested_sql(self):382 """Test nesting SQL inside a bag comprehension"""383 query = """384 out = [FROM (SELECT name, salary385 FROM SCAN(%s) AS X386 WHERE salary > 5000) AS Y387 WHERE salary < 80000388 EMIT *];389 STORE(out, OUTPUT);390 """ % (self.emp_key,)391 tuples = [(e[2], e[3]) for e in self.emp_table.elements()392 if e[3] < 80000 and e[3] > 5000]393 expected = collections.Counter(tuples)394 self.check_result(query, expected)395 def test_sql_nested_sql(self):396 """Test nesting SQL inside SQL"""397 query = """398 out = SELECT Y.name, Y.salary399 FROM (SELECT name, salary400 FROM SCAN(%s) AS X401 WHERE salary > 5000) AS Y402 WHERE Y.salary < 80000;403 STORE(out, OUTPUT);404 """ % (self.emp_key,)405 tuples = [(e[2], e[3]) for e in self.emp_table.elements()406 if e[3] < 80000 and e[3] > 5000]407 expected = collections.Counter(tuples)408 self.check_result(query, expected)409 def test_sql_nested_bagcomp(self):410 """Test nesting a bag comprehension inside SQL"""411 query = """412 out = SELECT Y.name, Y.salary FROM413 [FROM SCAN(%s) AS X WHERE salary > 5000 EMIT X.*] AS Y414 WHERE Y.salary < 80000;415 STORE(out, OUTPUT);416 """ % (self.emp_key,)417 tuples = [(e[2], e[3]) for e in self.emp_table.elements()418 if e[3] < 80000 and e[3] > 5000]419 expected = collections.Counter(tuples)420 self.check_result(query, expected)421 def test_bagcomp_projection(self):422 """Test that column names are preserved across projection."""423 query = """424 E = SCAN(%s);425 F = [FROM E EMIT $2];426 out = [FROM F EMIT name];427 STORE(out, OUTPUT);428 """ % (self.emp_key,)429 tpls = [tuple([x[2]]) for x in self.emp_table]430 expected = collections.Counter(tpls)431 self.check_result(query, expected)432 def test_bagcomp_no_column_name(self):433 """Test that the system handles an omitted output column name."""434 query = """435 E = SCAN(%s);436 F = [FROM E EMIT salary*E.salary];437 out = [FROM F EMIT $0];438 STORE(out, OUTPUT);439 """ % (self.emp_key,)440 tpls = [tuple([x[3] * x[3]]) for x in self.emp_table]441 expected = collections.Counter(tpls)442 self.check_result(query, expected)443 def test_explicit_cross(self):444 query = """445 out = CROSS(SCAN(%s), SCAN(%s));446 STORE(out, OUTPUT);447 """ % (self.emp_key, self.dept_key)448 tuples = [e + d for e in self.emp_table.elements() for449 d in self.dept_table.elements()]450 expected = collections.Counter(tuples)451 self.check_result(query, expected)452 def test_bagcomp_cross(self):453 query = """454 out = [FROM SCAN(%s) E, SCAN(%s) AS D EMIT *];455 STORE(out, OUTPUT);456 """ % (self.emp_key, self.dept_key)457 tuples = [e + d for e in self.emp_table.elements() for458 d in self.dept_table.elements()]459 expected = collections.Counter(tuples)460 self.check_result(query, expected)461 def test_distinct(self):462 query = """463 out = DISTINCT([FROM SCAN(%s) AS X EMIT salary]);464 STORE(out, OUTPUT);465 """ % self.emp_key466 expected = collections.Counter([(25000,), (5000,), (90000,)])467 self.check_result(query, expected)468 def test_sql_distinct(self):469 query = """470 out = SELECT DISTINCT salary AS salary FROM SCAN(%s) AS X;471 STORE(out, OUTPUT);472 """ % self.emp_key473 expected = collections.Counter(set([(x[3],) for x in self.emp_table]))474 self.check_result(query, expected)475 def test_sql_repeated(self):476 query = """477 out = SELECT salary AS salary FROM SCAN(%s) AS X;478 STORE(out, OUTPUT);479 """ % self.emp_key480 expected = collections.Counter([(x[3],) for x in self.emp_table])481 self.check_result(query, expected)482 def test_limit(self):483 query = """484 out = LIMIT(SCAN(%s), 3);485 STORE(out, OUTPUT);486 """ % self.emp_key487 result = self.execute_query(query)488 self.assertEquals(len(result), 3)489 def test_sql_limit(self):490 query = """491 out = SELECT * FROM SCAN(%s) as X LIMIT 3;492 STORE(out, OUTPUT);493 """ % self.emp_key494 result = self.execute_query(query)495 self.assertEquals(len(result), 3)496 def test_table_literal_boolean(self):497 query = """498 X = [truE as MyTrue, FaLse as MyFalse];499 Y = [FROM scan(%s) as E, X where X.MyTrue emit *];500 STORE(Y, OUTPUT);501 """ % self.emp_key502 res = [x + (True, False) for x in self.emp_table]503 self.check_result(query, collections.Counter(res))504 def test_table_literal_scalar_expression(self):505 query = """506 X = [FROM ["Andrew", (50 * (500 + 500)) AS salary] Z EMIT salary];507 STORE(X, OUTPUT);508 """509 expected = collections.Counter([(50000,)])510 self.check_result(query, expected)511 def test_table_literal_unbox(self):512 query = """513 A = [1 AS one, 2 AS two, 3 AS three];514 B = [1 AS one, 2 AS two, 3 AS three];515 C = [*A.two * *B.three];516 STORE(C, OUTPUT);517 """518 expected = collections.Counter([(6,)])519 self.check_result(query, expected)520 def test_unbox_from_where_single(self):521 query = """522 TH = [25 * 1000];523 emp = SCAN(%s);524 out = [FROM emp WHERE $3 > *TH EMIT *];525 STORE(out, OUTPUT);526 """ % self.emp_key527 expected = collections.Counter(528 [x for x in self.emp_table.elements() if x[3] > 25000])529 self.check_result(query, expected)530 def test_unbox_from_where_multi(self):531 query = """532 TWO = [2];533 FOUR = [4];534 EIGHT = [8];535 emp = SCAN(%s);536 out = [FROM emp WHERE *EIGHT == *TWO**FOUR EMIT *];537 STORE(out, OUTPUT);538 """ % self.emp_key539 self.check_result(query, self.emp_table)540 def test_unbox_from_where_nary_name(self):541 query = """542 _CONST = [25 AS twenty_five, 1000 AS thousand];543 emp = SCAN(%s);544 out = [FROM emp WHERE salary == *_CONST.twenty_five *545 *_CONST.thousand EMIT *];546 STORE(out, OUTPUT);547 """ % self.emp_key548 expected = collections.Counter(549 [x for x in self.emp_table.elements() if x[3] == 25000])550 self.check_result(query, expected)551 def test_unbox_from_where_nary_pos(self):552 query = """553 _CONST = [25 AS twenty_five, 1000 AS thousand];554 emp = SCAN(%s);555 out = [FROM emp WHERE salary == *_CONST.$0 *556 *_CONST.$1 EMIT *];557 STORE(out, OUTPUT);558 """ % self.emp_key559 expected = collections.Counter(560 [x for x in self.emp_table.elements() if x[3] == 25000])561 self.check_result(query, expected)562 def test_unbox_from_emit_single(self):563 query = """564 THOUSAND = [1000];565 emp = SCAN(%s);566 out = [FROM emp EMIT salary * *THOUSAND AS salary];567 STORE(out, OUTPUT);568 """ % self.emp_key569 expected = collections.Counter(570 [(x[3] * 1000,) for x in self.emp_table.elements()])571 self.check_result(query, expected)572 def test_unbox_kitchen_sink(self):573 query = """574 C1 = [25 AS a, 100 AS b];575 C2 = [50 AS a, 1000 AS b];576 emp = SCAN(%s);577 out = [FROM emp WHERE salary==*C1.a * *C2.b OR $3==*C1.b * *C2578 EMIT dept_id * *C1.b /​/​ *C2.a];579 STORE(out, OUTPUT);580 """ % self.emp_key581 expected = collections.Counter(582 [(x[1] * 2,) for x in self.emp_table.elements() if583 x[3] == 5000 or x[3] == 25000])584 self.check_result(query, expected)585 def test_unbox_arbitrary_expression(self):586 query = """587 emp = SCAN(%s);588 dept = SCAN(%s);589 out = [FROM emp, COUNTALL(dept) as size WHERE id > *size EMIT emp.id];590 STORE(out, OUTPUT);591 """ % (self.emp_key, self.dept_key)592 expected = collections.Counter(593 [(x[0],) for x in self.emp_table.elements() if594 x[0] > len(self.dept_table)])595 self.check_result(query, expected)596 def test_inline_table_literal(self):597 query = """598 emp = SCAN(%s);599 dept = SCAN(%s);600 out = [FROM emp, [1,2,3] as tl WHERE id > tl.$2 EMIT emp.id];601 STORE(out, OUTPUT);602 """ % (self.emp_key, self.dept_key)603 expected = collections.Counter(604 [(x[0],) for x in self.emp_table.elements() if605 x[0] > 3])606 self.check_result(query, expected)607 def __aggregate_expected_result(self, apply_func, grouping_col=1,608 agg_col=3):609 result_dict = collections.defaultdict(list)610 for t in self.emp_table.elements():611 result_dict[t[grouping_col]].append(t[agg_col])612 tuples = [(key, apply_func(values)) for key, values in613 result_dict.iteritems()]614 return collections.Counter(tuples)615 def test_max(self):616 query = """617 out = [FROM SCAN(%s) AS X EMIT dept_id, MAX(salary)];618 STORE(out, OUTPUT);619 """ % self.emp_key620 self.check_result(query, self.__aggregate_expected_result(max))621 def test_min(self):622 query = """623 out = [FROM SCAN(%s) AS X EMIT dept_id, MIN(salary)];624 STORE(out, OUTPUT);625 """ % self.emp_key626 self.check_result(query, self.__aggregate_expected_result(min))627 def test_sum(self):628 query = """629 out = [FROM SCAN(%s) as X EMIT dept_id, SUM(salary)];630 STORE(out, OUTPUT);631 """ % self.emp_key632 self.check_result(query, self.__aggregate_expected_result(sum))633 def test_avg(self):634 query = """635 out = [FROM SCAN(%s) AS X EMIT dept_id, AVG(salary)];636 STORE(out, OUTPUT);637 """ % self.emp_key638 def avg(it):639 sum = 0640 cnt = 0641 for val in it:642 sum += val643 cnt += 1644 return sum /​ cnt645 self.check_result(query, self.__aggregate_expected_result(avg))646 self.check_result(query, self.__aggregate_expected_result(avg),647 test_logical=True)648 def test_stdev(self):649 query = """650 out = [FROM SCAN(%s) AS X EMIT STDEV(salary)];651 STORE(out, OUTPUT);652 """ % self.emp_key653 res = self.execute_query(query)654 tp = res.elements().next()655 self.assertAlmostEqual(tp[0], 34001.8006726)656 res = self.execute_query(query, test_logical=True)657 tp = res.elements().next()658 self.assertAlmostEqual(tp[0], 34001.8006726)659 def test_count(self):660 query = """661 out = [FROM SCAN(%s) AS X EMIT dept_id, COUNT(salary)];662 STORE(out, OUTPUT);663 """ % self.emp_key664 self.check_result(query, self.__aggregate_expected_result(len))665 self.check_result(query, self.__aggregate_expected_result(len),666 test_logical=True)667 def test_countall(self):668 query = """669 out = [FROM SCAN(%s) AS X EMIT dept_id, COUNTALL()];670 STORE(out, OUTPUT);671 """ % self.emp_key672 self.check_result(query, self.__aggregate_expected_result(len))673 self.check_result(query, self.__aggregate_expected_result(len),674 test_logical=True)675 def test_count_star(self):676 query = """677 out = [FROM SCAN(%s) AS X EMIT dept_id, COUNT(*)];678 STORE(out, OUTPUT);679 """ % self.emp_key680 self.check_result(query, self.__aggregate_expected_result(len))681 self.check_result(query, self.__aggregate_expected_result(len),682 test_logical=True)683 def test_count_star_sql(self):684 query = """685 out = SELECT dept_id, COUNT(*) FROM SCAN(%s) AS X;686 STORE(out, OUTPUT);687 """ % self.emp_key688 self.check_result(query, self.__aggregate_expected_result(len))689 self.check_result(query, self.__aggregate_expected_result(len),690 test_logical=True)691 def test_max_reversed(self):692 query = """693 out = [FROM SCAN(%s) AS X EMIT MAX(salary) AS max_salary, dept_id];694 STORE(out, OUTPUT);695 """ % self.emp_key696 ex = self.__aggregate_expected_result(max)697 ex = collections.Counter([(y, x) for (x, y) in ex])698 self.check_result(query, ex)699 self.check_result(query, ex, test_logical=True)700 def test_compound_aggregate(self):701 query = """702 out = [FROM SCAN(%s) AS X703 EMIT (2 * (MAX(salary) - MIN(salary))) AS range,704 dept_id AS did];705 out = [FROM out EMIT did AS dept_id, range AS rng];706 STORE(out, OUTPUT);707 """ % self.emp_key708 result_dict = collections.defaultdict(list)709 for t in self.emp_table.elements():710 result_dict[t[1]].append(t[3])711 tuples = [(key, 2 * (max(values) - min(values))) for key, values in712 result_dict.iteritems()]713 expected = collections.Counter(tuples)714 self.check_result(query, expected)715 self.check_result(query, expected, test_logical=True)716 def test_aggregate_with_unbox(self):717 query = """718 C = [1 AS one, 2 AS two];719 out = [FROM SCAN(%s) AS X720 EMIT MAX(*C.two * salary) - MIN( *C.$1 * salary) AS range,721 dept_id AS did];722 out = [FROM out EMIT did AS dept_id, range AS rng];723 STORE(out, OUTPUT);724 """ % self.emp_key725 result_dict = collections.defaultdict(list)726 for t in self.emp_table.elements():727 result_dict[t[1]].append(2 * t[3])728 tuples = [(key, (max(values) - min(values))) for key, values in729 result_dict.iteritems()]730 expected = collections.Counter(tuples)731 self.check_result(query, expected)732 self.check_result(query, expected, test_logical=True)733 def test_nary_groupby(self):734 query = """735 out = [FROM SCAN(%s) AS X EMIT dept_id, salary, COUNT(name)];736 STORE(out, OUTPUT);737 """ % self.emp_key738 result_dict = collections.defaultdict(list)739 for t in self.emp_table.elements():740 result_dict[(t[1], t[3])].append(t[2])741 tuples = [key + (len(values),)742 for key, values in result_dict.iteritems()]743 expected = collections.Counter(tuples)744 self.check_result(query, expected)745 def test_empty_groupby(self):746 query = """747 out = [FROM SCAN(%s) AS X EMIT MAX(salary), COUNT($0), MIN(dept_id*4)];748 STORE(out, OUTPUT);749 """ % self.emp_key750 expected = collections.Counter([(90000, len(self.emp_table), 4)])751 self.check_result(query, expected)752 def test_compound_groupby(self):753 query = """754 out = [FROM SCAN(%s) AS X EMIT id+dept_id, AVG(salary), COUNT(salary)];755 STORE(out, OUTPUT);756 """ % self.emp_key757 result_dict = collections.defaultdict(list)758 for t in self.emp_table.elements():759 result_dict[t[0] + t[1]].append(t[3])760 tuples1 = [(key, sum(values), len(values)) for key, values761 in result_dict.iteritems()]762 tuples2 = [(t[0], t[1] /​ t[2], t[2]) for t in tuples1]763 expected = collections.Counter(tuples2)764 self.check_result(query, expected)765 def test_impure_aggregate_colref(self):766 """Test of aggregate column that refers to a grouping column"""767 query = """768 out = [FROM SCAN(%s) AS X EMIT769 ( X.dept_id + (MAX(X.salary) - MIN(X.salary))) AS val,770 X.dept_id AS did];771 out = [FROM out EMIT did AS dept_id, val AS rng];772 STORE(out, OUTPUT);773 """ % self.emp_key774 result_dict = collections.defaultdict(list)775 for t in self.emp_table.elements():776 result_dict[t[1]].append(t[3])777 tuples = [(key, key + (max(values) - min(values))) for key, values in778 result_dict.iteritems()]779 expected = collections.Counter(tuples)780 self.check_result(query, expected)781 def test_impure_aggregate_unbox(self):782 """Test of an aggregate column that contains an unbox."""783 query = """784 TWO = [2];785 out = [FROM SCAN(%s) AS X786 EMIT (*TWO * (MAX(salary) - MIN(salary))) AS range,787 dept_id AS did];788 out = [FROM out EMIT did AS dept_id, range AS rng];789 STORE(out, OUTPUT);790 """ % self.emp_key791 result_dict = collections.defaultdict(list)792 for t in self.emp_table.elements():793 result_dict[t[1]].append(t[3])794 tuples = [(key, 2 * (max(values) - min(values))) for key, values in795 result_dict.iteritems()]796 expected = collections.Counter(tuples)797 self.check_result(query, expected)798 def test_aggregate_illegal_colref(self):799 query = """800 out = [FROM SCAN(%s) AS X EMIT801 X.dept_id + COUNT(X.salary) AS val];802 STORE(out, OUTPUT);803 """ % self.emp_key804 with self.assertRaises(raco.myrial.groupby.NonGroupedAccessException): # noqa805 self.check_result(query, None)806 def test_nested_aggregates_are_illegal(self):807 query = """808 out = [FROM SCAN(%s) AS X809 EMIT id+dept_id, MIN(53 + MAX(salary)) AS foo];810 STORE(out, OUTPUT);811 """ % self.emp_key812 with self.assertRaises(NestedAggregateException):813 self.check_result(query, collections.Counter())814 def test_standalone_countall(self):815 query = """816 out = COUNTALL(SCAN(%s));817 STORE(out, OUTPUT);818 """ % self.emp_key819 expected = collections.Counter([(len(self.emp_table),)])820 self.check_result(query, expected)821 def test_multiway_bagcomp_with_unbox(self):822 """Return all employees in accounting making less than 30000"""823 query = """824 Salary = [30000];825 Dept = ["accounting"];826 out = [FROM SCAN(%s) AS E, SCAN(%s) AS D827 WHERE E.dept_id == D.id AND D.name == *Dept828 AND E.salary < *Salary EMIT E.$2 AS name];829 STORE(out, OUTPUT);830 """ % (self.emp_key, self.dept_key)831 expected = collections.Counter([832 ("Andrew Whitaker",),833 ("Victor Almeida",),834 ("Magdalena Balazinska",)])835 self.check_result(query, expected)836 def test_duplicate_bagcomp_aliases_are_illegal(self):837 query = """838 X = SCAN(%s);839 out = [FROM X, X EMIT *];840 STORE(out, OUTPUT);841 """ % (self.emp_key,)842 with self.assertRaises(interpreter.DuplicateAliasException):843 self.check_result(query, collections.Counter())844 def test_bagcomp_column_index_out_of_bounds(self):845 query = """846 E = SCAN(%s);847 D = SCAN(%s);848 out = [FROM E, D WHERE E.$1 == D.$77849 EMIT E.name AS emp_name, D.$1 AS dept_name];850 STORE(out, OUTPUT);851 """ % (self.emp_key, self.dept_key)852 with self.assertRaises(ColumnIndexOutOfBounds):853 self.check_result(query, collections.Counter())854 def test_abs(self):855 query = """856 out = [FROM SCAN(%s) AS X EMIT id, ABS(val)];857 STORE(out, OUTPUT);858 """ % self.numbers_key859 expected = collections.Counter(860 [(a, abs(b)) for a, b in self.numbers_table.elements()])861 self.check_result(query, expected)862 def test_ceil(self):863 query = """864 out = [FROM SCAN(%s) AS X EMIT id, CEIL(val)];865 STORE(out, OUTPUT);866 """ % self.numbers_key867 expected = collections.Counter(868 [(a, math.ceil(b)) for a, b in self.numbers_table.elements()])869 self.check_result(query, expected)870 def test_cos(self):871 query = """872 out = [FROM SCAN(%s) AS X EMIT id, COS(val)];873 STORE(out, OUTPUT);874 """ % self.numbers_key875 expected = collections.Counter(876 [(a, math.cos(b)) for a, b in self.numbers_table.elements()])877 self.check_result(query, expected)878 def test_floor(self):879 query = """880 out = [FROM SCAN(%s) AS X EMIT id, FLOOR(val)];881 STORE(out, OUTPUT);882 """ % self.numbers_key883 expected = collections.Counter(884 [(a, math.floor(b)) for a, b in self.numbers_table.elements()])885 self.check_result(query, expected)886 def test_log(self):887 query = """888 out = [FROM SCAN(%s) AS X WHERE val > 0 EMIT id, LOG(val)];889 STORE(out, OUTPUT);890 """ % self.numbers_key891 expected = collections.Counter(892 [(a, math.log(b)) for a, b in self.numbers_table.elements()893 if b > 0])894 self.check_result(query, expected)895 def test_sin(self):896 query = """897 out = [FROM SCAN(%s) AS X EMIT id, SIN(val)];898 STORE(out, OUTPUT);899 """ % self.numbers_key900 expected = collections.Counter(901 [(a, math.sin(b)) for a, b in self.numbers_table.elements()])902 self.check_result(query, expected)903 def test_sqrt(self):904 query = """905 out = [FROM SCAN(%s) X WHERE val >= 0 EMIT id, SQRT(val)];906 STORE(out, OUTPUT);907 """ % self.numbers_key908 expected = collections.Counter(909 [(a, math.sqrt(b)) for a, b in self.numbers_table.elements()910 if b >= 0])911 self.check_result(query, expected)912 def test_tan(self):913 query = """914 out = [FROM SCAN(%s) AS X EMIT id, TAN(val)];915 STORE(out, OUTPUT);916 """ % self.numbers_key917 expected = collections.Counter(918 [(a, math.tan(b)) for a, b in self.numbers_table.elements()])919 self.check_result(query, expected)920 def test_md5(self):921 query = """922 out = [FROM SCAN(%s) AS X EMIT id, md5(name)];923 STORE(out, OUTPUT);924 """ % self.emp_key925 def md5_as_long(x):926 m = md5.new()927 m.update(x)928 return int(m.hexdigest(), 16) >> 64929 expected = collections.Counter(930 [(x[0], md5_as_long(x[2])) for x in self.emp_table.elements()])931 self.check_result(query, expected)932 def test_pow(self):933 query = """934 THREE = [3];935 out = [FROM SCAN(%s) X EMIT id, POW(X.val, *THREE)];936 STORE(out, OUTPUT);937 """ % self.numbers_key938 expected = collections.Counter(939 [(a, pow(b, 3)) for a, b in self.numbers_table.elements()])940 self.check_result(query, expected)941 def test_no_such_relation(self):942 query = """943 out = [FROM SCAN(foo:bar:baz) x EMIT id, TAN(val)];944 STORE(out, OUTPUT);945 """946 with self.assertRaises(NoSuchRelationException):947 self.check_result(query, collections.Counter())948 def test_bad_relation_name(self):949 query = """950 y = empty(a:int);951 z = [from s y -- bug: s does not exist952 emit y.a];953 store(z, debug);954 """955 with self.assertRaises(NoSuchRelationException):956 self.check_result(query, collections.Counter())957 def test_bad_alias(self):958 query = """959 y = empty(a:int);960 z = [from y s -- bug: extra s961 emit y.a];962 store(z, debug);963 """964 with self.assertRaises(NoSuchRelationException):965 self.check_result(query, collections.Counter())966 def test_bad_alias_wildcard(self):967 query = """968 y = empty(a:int);969 z = [from y s -- bug: errant s970 emit y.*];971 store(z, debug);972 """973 with self.assertRaises(NoSuchRelationException):974 self.check_result(query, collections.Counter())975 def test_scan_error(self):976 query = """977 out = [FROM SCAN(%s) AS X EMIT id, !!!FROG(val)];978 STORE(out, OUTPUT);979 """ % self.emp_key980 with self.assertRaises(MyrialCompileException):981 self.check_result(query, collections.Counter())982 def test_relation_scope_error(self):983 query = """984 out = [FROM EMPTY(x:INT) AS X EMIT z.*];985 STORE(out, OUTPUT);986 """987 with self.assertRaises(NoSuchRelationException):988 self.check_result(query, collections.Counter())989 def test_relation_scope_error2(self):990 query = """991 z = EMPTY(z:INT);992 out = [FROM EMPTY(x:INT) AS X EMIT z.*];993 STORE(out, OUTPUT);994 """995 with self.assertRaises(NoSuchRelationException):996 self.check_result(query, collections.Counter())997 def test_parse_error(self):998 query = """999 out = [FROM SCAN(%s) AS X EMIT $(val)];1000 STORE(out, OUTPUT);1001 """ % self.emp_key1002 with self.assertRaises(MyrialCompileException):1003 self.check_result(query, collections.Counter())1004 def test_no_such_udf(self):1005 query = """1006 out = [FROM SCAN(%s) AS X EMIT FooFunction(X.salary)];1007 STORE(out, OUTPUT);1008 """ % self.emp_key1009 with self.assertRaises(NoSuchFunctionException):1010 self.check_result(query, collections.Counter())1011 def test_reserved_udf(self):1012 query = """1013 DEF avg(x, y): (x + y) /​ 2;1014 out = [FROM SCAN(%s) AS X EMIT avg(X.salary)];1015 STORE(out, OUTPUT);1016 """ % self.emp_key1017 with self.assertRaises(ReservedTokenException):1018 self.check_result(query, collections.Counter())1019 def test_duplicate_udf(self):1020 query = """1021 DEF foo(x, y): x + y;1022 DEF bar(): 7;1023 DEF foo(x): -1 * x;1024 out = [FROM SCAN(%s) AS X EMIT foo(X.salary)];1025 STORE(out, OUTPUT);1026 """ % self.emp_key1027 with self.assertRaises(DuplicateFunctionDefinitionException):1028 self.check_result(query, collections.Counter())1029 def test_invalid_argument_udf(self):1030 query = """1031 DEF Foo(x, y): cos(x) * sin(y);1032 out = [FROM SCAN(%s) AS X EMIT Foo(X.salary)];1033 STORE(out, OUTPUT);1034 """ % self.emp_key1035 with self.assertRaises(InvalidArgumentList):1036 self.check_result(query, collections.Counter())1037 def test_undefined_variable_udf(self):1038 query = """1039 DEF Foo(x, y): cos(x) * sin(z);1040 out = [FROM SCAN(%s) AS X EMIT Foo(X.salary)];1041 STORE(out, OUTPUT);1042 """ % self.emp_key1043 with self.assertRaises(UndefinedVariableException):1044 self.check_result(query, collections.Counter())1045 def test_duplicate_variable_udf(self):1046 query = """1047 DEF Foo(x, x): cos(x) * sin(x);1048 out = [FROM SCAN(%s) AS X EMIT Foo(X.salary, X.dept_id)];1049 STORE(out, OUTPUT);1050 """ % self.emp_key1051 with self.assertRaises(DuplicateVariableException):1052 self.check_result(query, collections.Counter())1053 def test_nary_udf(self):1054 query = """1055 DEF Foo(a,b): [a + b, a - b];1056 out = [FROM SCAN(%s) AS X EMIT id, Foo(salary, dept_id) as [x, y]];1057 STORE(out, OUTPUT);1058 """ % self.emp_key1059 expected = collections.Counter([(t[0], t[1] + t[3], t[3] - t[1])1060 for t in self.emp_table])1061 self.check_result(query, expected)1062 def test_nary_udf_name_count(self):1063 query = """1064 DEF Foo(a,b): [a + b, a - b];1065 out = [FROM SCAN(%s) AS X EMIT id, Foo(salary, dept_id) as [x, y, z]];1066 STORE(out, OUTPUT);1067 """ % self.emp_key1068 with self.assertRaises(IllegalColumnNamesException):1069 self.check_result(query, None)1070 def test_nary_udf_illegal_nesting(self):1071 query = """1072 DEF Foo(x): [x + 3, x - 3];1073 DEF Bar(a,b): [Foo(x), Foo(b)];1074 out = [FROM SCAN(%s) AS X EMIT id, Bar(salary, dept_id) as [x, y]];1075 STORE(out, OUTPUT);1076 """ % self.emp_key1077 with self.assertRaises(NestedTupleExpressionException):1078 self.check_result(query, None)1079 def test_nary_udf_illegal_wildcard(self):1080 query = """1081 DEF Foo(x): [x + 3, *];1082 out = [FROM SCAN(%s) AS X EMIT id, Foo(salary, dept_id) as [x, y]];1083 STORE(out, OUTPUT);1084 """ % self.emp_key1085 with self.assertRaises(IllegalWildcardException):1086 self.check_result(query, None)1087 def test_triangle_udf(self):1088 query = """1089 DEF Triangle(a,b): (a*b)/​/​2;1090 out = [FROM SCAN(%s) AS X EMIT id, Triangle(X.salary, dept_id) AS t];1091 STORE(out, OUTPUT);1092 """ % self.emp_key1093 expected = collections.Counter([(t[0], t[1] * t[3] /​ 2) for t in self.emp_table]) # noqa1094 self.check_result(query, expected)1095 def test_noop_udf(self):1096 expr = "30 + 15 /​/​ 7 + -45"1097 query = """1098 DEF Noop(): %s;1099 out = [Noop() AS t];1100 STORE(out, OUTPUT);1101 """ % expr1102 val = eval(expr)1103 expected = collections.Counter([(val,)])1104 self.check_result(query, expected)1105 def test_const(self):1106 expr = "30 + 15 /​/​ 7 + -45"1107 query = """1108 CONST myconstant: %s;1109 out = [myconstant AS t];1110 STORE(out, OUTPUT);1111 """ % expr1112 val = eval(expr)1113 expected = collections.Counter([(val,)])1114 self.check_result(query, expected)1115 def test_composition_udf(self):1116 query = """1117 DEF Add7(x): x + 7;1118 DEF Add6(x): x + 6;1119 out = [FROM SCAN(%s) AS X EMIT id, Add6(Add7(Add6(X.salary)))];1120 STORE(out, OUTPUT);1121 """ % self.emp_key1122 expected = collections.Counter([(t[0], t[3] + 19)1123 for t in self.emp_table])1124 self.check_result(query, expected)1125 def test_nested_udf(self):1126 query = """1127 DEF Add7(x): x + 7;1128 DEF Add10(x): Add7(x) + 3;1129 out = [FROM SCAN(%s) AS X EMIT id, Add10(X.salary)];1130 STORE(out, OUTPUT);1131 """ % self.emp_key1132 expected = collections.Counter([(t[0], t[3] + 10)1133 for t in self.emp_table])1134 self.check_result(query, expected)1135 def test_regression_150(self):1136 """Repeated invocation of a UDF."""1137 query = """1138 DEF transform(x): pow(10, x/​pow(2,16)*3.5);1139 out = [FROM SCAN(%s) AS X EMIT id, transform(salary),1140 transform(dept_id)];1141 STORE(out, OUTPUT);1142 """ % self.emp_key1143 def tx(x):1144 return pow(10, float(x) /​ pow(2, 16) * 3.5)1145 expected = collections.Counter([(t[0], tx(t[3]), tx(t[1]))1146 for t in self.emp_table])1147 self.check_result(query, expected)1148 def test_safediv_2_function(self):1149 query = """1150 out = [FROM SCAN(%s) AS X EMIT SafeDiv(X.salary,X.dept_id-1)];1151 STORE(out, OUTPUT);1152 """ % self.emp_key1153 expected = collections.Counter(1154 [(t[3] /​ (t[1] - 1) if t[1] - 1 > 0 else 0,)1155 for t in self.emp_table])1156 self.check_result(query, expected)1157 def test_safediv_3_function(self):1158 query = """1159 out = [FROM SCAN(%s) AS X EMIT SafeDiv(X.salary,X.dept_id-1,42)];1160 STORE(out, OUTPUT);1161 """ % self.emp_key1162 expected = collections.Counter(1163 [(t[3] /​ (t[1] - 1) if t[1] - 1 > 0 else 42,)1164 for t in self.emp_table])1165 self.check_result(query, expected)1166 def test_answer_to_everything_function(self):1167 query = """1168 out = [TheAnswerToLifeTheUniverseAndEverything()];1169 STORE(out, OUTPUT);1170 """1171 expected = collections.Counter([(42,)])1172 self.check_result(query, expected)1173 def test_least_function(self):1174 query = """1175 out = [FROM SCAN(%s) AS X EMIT least(X.id,X.dept_id,1)];1176 STORE(out, OUTPUT);1177 """ % self.emp_key1178 expected = collections.Counter(1179 [(min(t[0], t[1], 1),)1180 for t in self.emp_table])1181 self.check_result(query, expected)1182 def test_greatest_function(self):1183 query = """1184 out = [FROM SCAN(%s) AS X EMIT greatest(X.id,X.dept_id,3)];1185 STORE(out, OUTPUT);1186 """ % self.emp_key1187 expected = collections.Counter(1188 [(max(t[0], t[1], 3),)1189 for t in self.emp_table])1190 self.check_result(query, expected)1191 def test_lesser_function(self):1192 query = """1193 out = [FROM SCAN(%s) AS X EMIT lesser(X.id,X.dept_id)];1194 STORE(out, OUTPUT);1195 """ % self.emp_key1196 expected = collections.Counter(1197 [(min(t[0], t[1]),)1198 for t in self.emp_table])1199 self.check_result(query, expected)1200 def test_greater_function(self):1201 query = """1202 out = [FROM SCAN(%s) AS X EMIT greater(X.id,X.dept_id)];1203 STORE(out, OUTPUT);1204 """ % self.emp_key1205 expected = collections.Counter(1206 [(max(t[0], t[1],),)1207 for t in self.emp_table])1208 self.check_result(query, expected)1209 def test_uda_illegal_init(self):1210 query = """1211 uda Foo(x,y) {1212 [0 as A, *];1213 [A + x, A + y];1214 A;1215 };1216 out = [FROM SCAN(%s) AS X EMIT dept_id, Foo(salary, id)];1217 STORE(out, OUTPUT);1218 """ % self.emp_key1219 with self.assertRaises(IllegalWildcardException):1220 self.check_result(query, None)1221 def test_uda_illegal_update(self):1222 query = """1223 uda Foo(x,y) {1224 [0 as A, 1 as B];1225 [A + x + y, *];1226 A + B;1227 };1228 out = [FROM SCAN(%s) AS X EMIT dept_id, Foo(salary, id)];1229 STORE(out, OUTPUT);1230 """ % self.emp_key1231 with self.assertRaises(MyrialCompileException):1232 self.check_result(query, None)1233 def test_uda_nested_emitter(self):1234 query = """1235 uda Foo(x) {1236 [0 as A];1237 [A + x];1238 [A];1239 };1240 uda Bar(x) {1241 [0 as B];1242 [B + x];1243 Foo(B);1244 };1245 out = [FROM SCAN(%s) AS X EMIT dept_id, Bar(salary)];1246 STORE(out, OUTPUT);1247 """ % self.emp_key1248 with self.assertRaises(NestedAggregateException):1249 self.check_result(query, None)1250 def test_uda_nested_init(self):1251 query = """1252 uda Foo(x) {1253 [0 as A];1254 [A + x];1255 [A];1256 };1257 uda Bar(x) {1258 [Foo(0) as B];1259 [B + x];1260 B;1261 };1262 out = [FROM SCAN(%s) AS X EMIT dept_id, Bar(salary)];1263 STORE(out, OUTPUT);1264 """ % self.emp_key1265 with self.assertRaises(NestedAggregateException):1266 self.check_result(query, None)1267 def test_uda_nested_update(self):1268 query = """1269 uda Foo(x) {1270 [0 as A];1271 [A + x];1272 [A];1273 };1274 uda Bar(x) {1275 [0 as B];1276 [Foo(B)];1277 B;1278 };1279 out = [FROM SCAN(%s) AS X EMIT dept_id, Bar(salary)];1280 STORE(out, OUTPUT);1281 """ % self.emp_key1282 with self.assertRaises(NestedAggregateException):1283 self.check_result(query, None)1284 def test_uda_unary_emit_arg_list(self):1285 query = """1286 uda MyAvg(val) {1287 [0 as _sum, 0 as _count];1288 [_sum + val, _count + 1];1289 [_sum /​ _count];1290 };1291 out = [FROM SCAN(%s) AS X EMIT dept_id, MyAvg(salary)];1292 STORE(out, OUTPUT);1293 """ % self.emp_key1294 def agg_func(x):1295 return float(sum(x)) /​ len(x)1296 expected = self.__aggregate_expected_result(agg_func)1297 self.check_result(query, expected)1298 def test_second_max_uda(self):1299 """UDA to compute the second largest element in a collection."""1300 query = """1301 uda SecondMax(val) {1302 [0 as _max, 0 as second_max];1303 [case when val > _max then val else _max end,1304 case when val > _max then _max when val > second_max then val1305 else second_max end];1306 second_max;1307 };1308 out = [FROM SCAN(%s) AS X EMIT dept_id, SecondMax(salary)];1309 STORE(out, OUTPUT);1310 """ % self.emp_key1311 def agg_func(x):1312 if len(x) < 2:1313 return 01314 else:1315 return sorted(x, reverse=True)[1]1316 expected = self.__aggregate_expected_result(agg_func)1317 self.check_result(query, expected)1318 def test_multi_invocation_uda(self):1319 query = """1320 uda MaxDivMin(val) {1321 [9999999 as _min, 0 as _max];1322 [case when val < _min then val else _min end,1323 case when val > _max then val else _max end];1324 _max /​ _min;1325 };1326 out = [FROM SCAN(%s) AS X EMIT1327 MaxDivMin(id) + dept_id + MaxDivMin(salary), dept_id];1328 STORE(out, OUTPUT);1329 """ % self.emp_key1330 d = collections.defaultdict(list)1331 for t in self.emp_table.elements():1332 d[t[1]].append(t)1333 results = []1334 for k, tpls in d.iteritems():1335 max_salary = max(t[3] for t in tpls)1336 min_salary = min(t[3] for t in tpls)1337 max_id = max(t[0] for t in tpls)1338 min_id = min(t[0] for t in tpls)1339 results.append((k + float(max_salary) /​ min_salary +1340 float(max_id) /​ min_id, k))1341 self.check_result(query, collections.Counter(results))1342 def test_multiple_uda(self):1343 query = """1344 uda MyMax1(val) {1345 [0 as _max];1346 [case when val > _max then val else _max end];1347 _max;1348 };1349 uda MyMax2(val) {1350 [0 as _max];1351 [case when val > _max then val else _max end];1352 _max;1353 };1354 out = [FROM SCAN(%s) AS X EMIT dept_id, MyMax1(salary), MyMax2(id)];1355 STORE(out, OUTPUT);1356 """ % self.emp_key1357 d = collections.defaultdict(list)1358 for t in self.emp_table.elements():1359 d[t[1]].append(t)1360 results = []1361 for k, tpls in d.iteritems():1362 max_salary = max(t[3] for t in tpls)1363 max_id = max(t[0] for t in tpls)1364 results.append((k, max_salary, max_id))1365 self.check_result(query, collections.Counter(results))1366 def test_uda_no_emit_clause(self):1367 query = """1368 uda MyCount() {1369 [0 as _count];1370 [_count + 1];1371 };1372 out = [FROM SCAN(%s) AS X EMIT dept_id, MyCount()];1373 STORE(out, OUTPUT);1374 """ % self.emp_key1375 self.check_result(query, self.__aggregate_expected_result(len))1376 def test_uda_no_emit_clause_many_cols(self):1377 query = """1378 uda MyAggs(x) {1379 [0 as _count, 0 as _sum, 0 as _sumsq];1380 [_count + 1, _sum + x, _sumsq + x*x];1381 };1382 out = [FROM SCAN(%s) AS X EMIT MyAggs(salary) as [a, b, c]];1383 STORE(out, OUTPUT);1384 """ % self.emp_key1385 c = len(list(self.emp_table.elements()))1386 s = sum(d for a, b, c, d in self.emp_table.elements())1387 sq = sum(d * d for a, b, c, d in self.emp_table.elements())1388 expected = collections.Counter([(c, s, sq)])1389 self.check_result(query, expected)1390 # Test with two different column orders in case the undefined1391 # order used by Python is correct by chance.1392 query = """1393 uda MyAggs(x) {1394 [0 as _count, 0 as _sumsq, 0 as _sum];1395 [_count + 1, _sumsq + x*x, _sum + x];1396 };1397 out = [FROM SCAN(%s) AS X EMIT MyAggs(salary) as [a, b, c]];1398 STORE(out, OUTPUT);1399 """ % self.emp_key1400 c = len(list(self.emp_table.elements()))1401 sq = sum(d * d for a, b, c, d in self.emp_table.elements())1402 s = sum(d for a, b, c, d in self.emp_table.elements())1403 expected = collections.Counter([(c, sq, s)])1404 self.check_result(query, expected)1405 def test_uda_with_udf(self):1406 query = """1407 def foo(x, y): x + y;1408 uda max2(x, y) {1409 [0 as _max];1410 [case when foo(x, y) > _max then foo(x, y) else _max end];1411 _max;1412 };1413 out = [FROM SCAN(%s) AS X EMIT dept_id, max2(salary, id)];1414 STORE(out, OUTPUT);1415 """ % self.emp_key1416 d = collections.defaultdict(list)1417 for t in self.emp_table.elements():1418 d[t[1]].append(t)1419 results = []1420 for k, tpls in d.iteritems():1421 results.append((k, max(t[3] + t[0] for t in tpls)))1422 self.check_result(query, collections.Counter(results))1423 def test_uda_with_subsequent_project_0(self):1424 query = """1425 def foo(x, y): x + y;1426 uda max2(x, y) {1427 [0 as _max];1428 [case when foo(x, y) > _max then foo(x, y) else _max end];1429 _max;1430 };1431 inter = [FROM SCAN(%s) AS X EMIT dept_id, max2(salary, id)];1432 out = [from inter emit $0];1433 STORE(out, OUTPUT);1434 """ % self.emp_key1435 d = collections.defaultdict(list)1436 for t in self.emp_table.elements():1437 d[t[1]].append(t)1438 results = []1439 for k, tpls in d.iteritems():1440 results.append((k, max(t[3] + t[0] for t in tpls)))1441 results = [(t[0],) for t in results]1442 self.check_result(query, collections.Counter(results))1443 def test_uda_with_subsequent_project_1(self):1444 query = """1445 def foo(x, y): x + y;1446 uda max2(x, y) {1447 [0 as _max];1448 [case when foo(x, y) > _max then foo(x, y) else _max end];1449 _max;1450 };1451 inter = [FROM SCAN(%s) AS X EMIT dept_id, max2(salary, id)];1452 out = [from inter emit $1];1453 STORE(out, OUTPUT);1454 """ % self.emp_key1455 d = collections.defaultdict(list)1456 for t in self.emp_table.elements():1457 d[t[1]].append(t)1458 results = []1459 for k, tpls in d.iteritems():1460 results.append((k, max(t[3] + t[0] for t in tpls)))1461 results = [(t[1],) for t in results]1462 self.check_result(query, collections.Counter(results))1463 def test_uda_with_subsequent_project_2(self):1464 query = """1465 def foo(x, y): x + y;1466 uda max2(x, y) {1467 [0 as _max];1468 [case when foo(x, y) > _max then foo(x, y) else _max end];1469 _max;1470 };1471 inter = [FROM SCAN(%s) AS X EMIT dept_id, max2(salary, id)1472 , max2(dept_id, id)];1473 out = [from inter emit $1];1474 STORE(out, OUTPUT);1475 """ % self.emp_key1476 d = collections.defaultdict(list)1477 for t in self.emp_table.elements():1478 d[t[1]].append(t)1479 results = []1480 for k, tpls in d.iteritems():1481 results.append((k,1482 max(t[3] + t[0] for t in tpls),1483 max(t[1] + t[0] for t in tpls)))1484 results = [(t[1],) for t in results]1485 self.check_result(query, collections.Counter(results))1486 def __run_multiple_emitter_test(self, include_column_names):1487 if include_column_names:1488 names = " AS [mysum, mycount, myavg]"1489 else:1490 names = ""1491 query = """1492 uda SumCountMean(x) {1493 [0 as _sum, 0 as _count];1494 [_sum + x, _count + 1];1495 [_sum, _count, _sum/​_count];1496 };1497 out = [FROM SCAN(%s) AS X EMIT dept_id, SumCountMean(salary) %s,1498 dept_id+3, max(id) as max_id];1499 STORE(out, OUTPUT);1500 """ % (self.emp_key, names)1501 d = collections.defaultdict(list)1502 for t in self.emp_table.elements():1503 d[t[1]].append(t)1504 results = []1505 for k, tpls in d.iteritems():1506 _sum = sum(x[3] for x in tpls)1507 _count = len(tpls)1508 _avg = float(_sum) /​ _count1509 _max_id = max(x[0] for x in tpls)1510 results.append((k, _sum, _count, _avg, k + 3, _max_id))1511 self.check_result(query, collections.Counter(results))1512 def test_uda_multiple_emitters_default_names(self):1513 self.__run_multiple_emitter_test(False)1514 def test_uda_multiple_emitters_provided_names(self):1515 self.__run_multiple_emitter_test(True)1516 scheme_actual = self.db.get_scheme('OUTPUT')1517 scheme_expected = scheme.Scheme([1518 ('dept_id', types.LONG_TYPE), ('mysum', types.LONG_TYPE),1519 ('mycount', types.LONG_TYPE), ('myavg', types.FLOAT_TYPE),1520 ('_COLUMN4_', types.LONG_TYPE), ('max_id', types.LONG_TYPE)])1521 self.assertEquals(scheme_actual, scheme_expected)1522 def test_emit_arg_bad_column_name_length(self):1523 query = """1524 out = [FROM SCAN(%s) AS X EMIT dept_id AS [dept_id1, dept_id2]];1525 STORE(out, OUTPUT);1526 """ % self.emp_key1527 with self.assertRaises(IllegalColumnNamesException):1528 self.check_result(query, None)1529 def test_uda_bad_column_name_length(self):1530 query = """1531 uda Fubar(x, y, z) {1532 [0 as Q];1533 [Q + 1];1534 [1,2,3];1535 };1536 out = [FROM SCAN(%s) AS X EMIT dept_id, Fubar(1, salary, id)1537 AS [A, B, C, D]];1538 STORE(out, OUTPUT);1539 """ % self.emp_key1540 with self.assertRaises(IllegalColumnNamesException):1541 self.check_result(query, None)1542 def test_uda_init_tuple_valued(self):1543 query = """1544 uda Foo(x) {1545 [0 as Q];1546 [Q + 1];1547 [1,2,3];1548 };1549 uda Bar(x) {1550 [Foo(0) as [A, B, C]];1551 [Q * 8];1552 [1,2,3];1553 };1554 out = [FROM SCAN(%s) AS X EMIT dept_id, Bar(salary)];1555 STORE(out, OUTPUT);1556 """ % self.emp_key1557 with self.assertRaises(NestedTupleExpressionException):1558 self.check_result(query, None)1559 def test_uda_update_tuple_valued(self):1560 query = """1561 uda Foo(x) {1562 [0 as Q];1563 [Q + 1];1564 [1,2,3];1565 };1566 uda Bar(x) {1567 [0 as Q];1568 [Foo(Q + 1)];1569 [1,2,3];1570 };1571 out = [FROM SCAN(%s) AS X EMIT dept_id, Bar(salary)];1572 STORE(out, OUTPUT);1573 """ % self.emp_key1574 with self.assertRaises(NestedTupleExpressionException):1575 self.check_result(query, None)1576 def test_uda_result_tuple_valued(self):1577 query = """1578 uda Foo(x) {1579 [0 as Q];1580 [Q + 1];1581 [1,2,3];1582 };1583 uda Bar(x) {1584 [0 as Q];1585 [Q + 2];1586 [1,2,Foo(3)];1587 };1588 out = [FROM SCAN(%s) AS X EMIT dept_id, Bar(salary)];1589 STORE(out, OUTPUT);1590 """ % self.emp_key1591 with self.assertRaises(NestedTupleExpressionException):1592 self.check_result(query, None)1593 def test_uda_multiple_emitters_nested(self):1594 """Test that we raise an Exception if a tuple-valued UDA doesn't appear1595 by itself in an emit expression."""1596 query = """1597 uda SumCountMean(x) {1598 [0 as _sum, 0 as _count];1599 [_sum + x, _count + 1];1600 [_sum, _count, _sum/​_count];1601 };1602 out = [FROM SCAN(%s) AS X EMIT dept_id, SumCountMean(salary) + 5];1603 STORE(out, OUTPUT);1604 """ % self.emp_key1605 with self.assertRaises(NestedTupleExpressionException):1606 self.check_result(query, None)1607 __DECOMPOSED_UDA = """1608 uda LogicalAvg(x) {1609 [0 as _sum, 0 as _count];1610 [_sum + x, _count + 1];1611 float(_sum); -- Note bogus return value1612 };1613 uda LocalAvg(x) {1614 [0 as _sum, 0 as _count];1615 [_sum + x, _count + 1];1616 };1617 uda RemoteAvg(_local_sum, _local_count) {1618 [0 as _sum, 0 as _count];1619 [_sum + _local_sum, _count + _local_count];1620 [_sum/​_count];1621 };1622 uda* LogicalAvg {LocalAvg, RemoteAvg};1623 """1624 __ARG_MAX_UDA = """1625 def pickval(id, salary, val, _id, _salary, _val):1626 case when salary > _salary then val1627 when salary = _salary and id > _id then val1628 else _val end;1629 uda ArgMax(id, dept_id, name, salary) {1630 [0 as _id, 0 as _dept_id, "" as _name, 0 as _salary];1631 [pickval(id, salary, id, _id, _salary, _id),1632 pickval(id, salary, dept_id, _id, _salary, _dept_id),1633 pickval(id, salary, name, _id, _salary, _name),1634 pickval(id, salary, salary, _id, _salary, _salary)];1635 [_id, _dept_id, _name, _salary];1636 };1637 """1638 __ARG_MAX_UDA_UNNECESSARY_EXPR = """1639 def pickval(id, salary, val, _id, _salary, _val):1640 case when salary > _salary then val1641 when salary = _salary and id > _id then val1642 else _val end;1643 uda ArgMax(id, dept_id, name, salary) {1644 [0 as _id, 0 as _dept_id, "" as _name, 0 as _salary];1645 [pickval(id, salary, greater(id, id), _id, _salary, _id),1646 pickval(id, salary, lesser(dept_id, dept_id), _id, _salary,1647 _dept_id),1648 pickval(id, salary, case when name="" then name else name end, _id,1649 _salary, _name),1650 pickval(id, salary, salary * 1, _id, _salary, _salary)];1651 [_id, _dept_id, _name, _salary];1652 };1653 """1654 def test_decomposable_average_uda(self):1655 """Test of a decomposed average UDA.1656 Note that the logical aggregate returns a broken value, so1657 this test only passes if we decompose the aggregate properly.1658 """1659 query = """%s1660 out = [FROM SCAN(%s) AS X EMIT dept_id, LogicalAvg(salary)];1661 STORE(out, OUTPUT);1662 """ % (TestQueryFunctions.__DECOMPOSED_UDA, self.emp_key)1663 result_dict = collections.defaultdict(list)1664 for t in self.emp_table.elements():1665 result_dict[t[1]].append(t[3])1666 tuples = []1667 for key, vals in result_dict.iteritems():1668 _cnt = len(vals)1669 _sum = sum(vals)1670 tuples.append((key, float(_sum) /​ _cnt))1671 self.check_result(query, collections.Counter(tuples))1672 def test_decomposable_nary_uda(self):1673 query = """1674 uda Sum2(x, y) {1675 [0 as sum_x, 0 as sum_y];1676 [sum_x + x, sum_y + y];1677 };1678 uda* Sum2 {Sum2, Sum2};1679 out = [FROM SCAN(%s) AS X EMIT1680 Sum2(id, salary) AS [id_sum, salary_sum]];1681 STORE(out, OUTPUT);1682 """ % self.emp_key1683 result_dict = collections.defaultdict(list)1684 for t in self.emp_table.elements():1685 result_dict[t[1]].append(t)1686 id_sum = sum(t[0] for t in self.emp_table.elements())1687 salary_sum = sum(t[3] for t in self.emp_table.elements())1688 tuples = [(id_sum, salary_sum)]1689 self.check_result(query, collections.Counter(tuples))1690 def test_arg_max_uda(self):1691 """Test of an arg_max UDA.1692 """1693 query = """1694 {arg}1695 emp = scan({emp});1696 out = [from emp emit ArgMax(id, dept_id, name, salary)];1697 store(out, OUTPUT);1698 """.format(arg=self.__ARG_MAX_UDA, emp=self.emp_key)1699 tuples = [(a, b, c, d) for (a, b, c, d) in self.emp_table1700 if all(d > d1 or d == d1 and a >= a11701 for a1, b1, c1, d1 in self.emp_table)]1702 self.check_result(query, collections.Counter(tuples))1703 def test_arg_max_uda_with_references(self):1704 """Test of an arg_max UDA with named, unnamed, and dotted1705 attribute references.1706 """1707 query = """1708 {arg}1709 emp = scan({emp});1710 out = [from emp emit ArgMax(id, emp.dept_id, $2, emp.$3)];1711 store(out, OUTPUT);1712 """.format(arg=self.__ARG_MAX_UDA, emp=self.emp_key)1713 tuples = [(a, b, c, d) for (a, b, c, d) in self.emp_table1714 if all(d > d1 or d == d1 and a >= a11715 for a1, b1, c1, d1 in self.emp_table)]1716 self.check_result(query, collections.Counter(tuples))1717 def test_arg_max_uda_with_functions(self):1718 """Test of an arg_max UDA with expressions as inputs.1719 """1720 query = """1721 {arg}1722 emp = scan({emp});1723 out = [from emp emit ArgMax(id,1724 greater(dept_id, dept_id),1725 case when id=1 then name else name end,1726 salary)];1727 store(out, OUTPUT);1728 """.format(arg=self.__ARG_MAX_UDA, emp=self.emp_key)1729 tuples = [(a, b, c, d) for (a, b, c, d) in self.emp_table1730 if all(d > d1 or d == d1 and a >= a11731 for a1, b1, c1, d1 in self.emp_table)]1732 self.check_result(query, collections.Counter(tuples))1733 def test_decomposable_arg_max_uda(self):1734 """Test of a decomposable arg_max UDA.1735 """1736 query = """1737 {arg}1738 uda* ArgMax {{ArgMax, ArgMax}};1739 emp = scan({emp});1740 out = [from emp emit ArgMax(id, dept_id, name, salary)1741 as [a, b, c, d]];1742 store(out, OUTPUT);1743 """.format(arg=self.__ARG_MAX_UDA, emp=self.emp_key)1744 tuples = [(a, b, c, d) for (a, b, c, d) in self.emp_table1745 if all(d > d1 or d == d1 and a >= a11746 for a1, b1, c1, d1 in self.emp_table)]1747 self.check_result(query, collections.Counter(tuples))1748 """Test of an arg_max UDA with named, unnamed, and dotted1749 attribute references.1750 """1751 def test_decomposable_arg_max_uda_with_references(self):1752 """Test of a decomposable arg_max UDA with named, unnamed, and dotted1753 attribute references.1754 """1755 query = """1756 {arg}1757 uda* ArgMax {{ArgMax, ArgMax}};1758 emp = scan({emp});1759 out = [from emp emit ArgMax(id, emp.dept_id, $2, emp.$3)1760 as [a, b, c, d]];1761 store(out, OUTPUT);1762 """.format(arg=self.__ARG_MAX_UDA, emp=self.emp_key)1763 tuples = [(a, b, c, d) for (a, b, c, d) in self.emp_table1764 if all(d > d1 or d == d1 and a >= a11765 for a1, b1, c1, d1 in self.emp_table)]1766 self.check_result(query, collections.Counter(tuples))1767 def test_decomposable_arg_max_uda_with_functions(self):1768 """Test of a decomposable arg_max UDA with expressions as inputs.1769 """1770 query = """1771 {arg}1772 uda* ArgMax {{ArgMax, ArgMax}};1773 emp = scan({emp});1774 out = [from emp emit ArgMax(id,1775 greater(dept_id, dept_id),1776 case when id=1 then name else name end,1777 salary)];1778 store(out, OUTPUT);1779 """.format(arg=self.__ARG_MAX_UDA, emp=self.emp_key)1780 tuples = [(a, b, c, d) for (a, b, c, d) in self.emp_table1781 if all(d > d1 or d == d1 and a >= a11782 for a1, b1, c1, d1 in self.emp_table)]1783 self.check_result(query, collections.Counter(tuples))1784 def test_arg_max_uda_internal_exprs(self):1785 """Test of an arg_max UDA.1786 """1787 query = """1788 {arg}1789 emp = scan({emp});1790 out = [from emp emit ArgMax(id, dept_id, name, salary)];1791 store(out, OUTPUT);1792 """.format(arg=self.__ARG_MAX_UDA_UNNECESSARY_EXPR, emp=self.emp_key)1793 tuples = [(a, b, c, d) for (a, b, c, d) in self.emp_table1794 if all(d > d1 or d == d1 and a >= a11795 for a1, b1, c1, d1 in self.emp_table)]1796 self.check_result(query, collections.Counter(tuples))1797 def test_arg_max_uda_internal_exprs_with_references(self):1798 """Test of an arg_max UDA with named, unnamed, and dotted1799 attribute references.1800 """1801 query = """1802 {arg}1803 emp = scan({emp});1804 out = [from emp emit ArgMax(id, emp.dept_id, $2, emp.$3)];1805 store(out, OUTPUT);1806 """.format(arg=self.__ARG_MAX_UDA_UNNECESSARY_EXPR, emp=self.emp_key)1807 tuples = [(a, b, c, d) for (a, b, c, d) in self.emp_table1808 if all(d > d1 or d == d1 and a >= a11809 for a1, b1, c1, d1 in self.emp_table)]1810 self.check_result(query, collections.Counter(tuples))1811 def test_arg_max_uda_internal_exprs_with_functions(self):1812 """Test of an arg_max UDA with expressions as inputs.1813 """1814 query = """1815 {arg}1816 emp = scan({emp});1817 out = [from emp emit ArgMax(id,1818 greater(dept_id, dept_id),1819 case when id=1 then name else name end,1820 salary)];1821 store(out, OUTPUT);1822 """.format(arg=self.__ARG_MAX_UDA_UNNECESSARY_EXPR, emp=self.emp_key)1823 tuples = [(a, b, c, d) for (a, b, c, d) in self.emp_table1824 if all(d > d1 or d == d1 and a >= a11825 for a1, b1, c1, d1 in self.emp_table)]1826 self.check_result(query, collections.Counter(tuples))1827 def test_decomposable_arg_max_uda_internal_exprs(self):1828 """Test of a decomposable arg_max UDA.1829 """1830 query = """1831 {arg}1832 uda* ArgMax {{ArgMax, ArgMax}};1833 emp = scan({emp});1834 out = [from emp emit ArgMax(id, dept_id, name, salary)1835 as [a, b, c, d]];1836 store(out, OUTPUT);1837 """.format(arg=self.__ARG_MAX_UDA_UNNECESSARY_EXPR, emp=self.emp_key)1838 tuples = [(a, b, c, d) for (a, b, c, d) in self.emp_table1839 if all(d > d1 or d == d1 and a >= a11840 for a1, b1, c1, d1 in self.emp_table)]1841 self.check_result(query, collections.Counter(tuples))1842 """Test of an arg_max UDA with named, unnamed, and dotted1843 attribute references.1844 """1845 def test_decomposable_arg_max_uda_internal_exprs_with_references(self):1846 """Test of a decomposable arg_max UDA with named, unnamed, and dotted1847 attribute references.1848 """1849 query = """1850 {arg}1851 uda* ArgMax {{ArgMax, ArgMax}};1852 emp = scan({emp});1853 out = [from emp emit ArgMax(id, emp.dept_id, $2, emp.$3)1854 as [a, b, c, d]];1855 store(out, OUTPUT);1856 """.format(arg=self.__ARG_MAX_UDA_UNNECESSARY_EXPR, emp=self.emp_key)1857 tuples = [(a, b, c, d) for (a, b, c, d) in self.emp_table1858 if all(d > d1 or d == d1 and a >= a11859 for a1, b1, c1, d1 in self.emp_table)]1860 self.check_result(query, collections.Counter(tuples))1861 def test_decomposable_arg_max_uda_internal_exprs_with_functions(self):1862 """Test of a decomposable arg_max UDA with expressions as inputs.1863 """1864 query = """1865 {arg}1866 uda* ArgMax {{ArgMax, ArgMax}};1867 emp = scan({emp});1868 out = [from emp emit ArgMax(id,1869 greater(dept_id, dept_id),1870 case when id=1 then name else name end,1871 salary)];1872 store(out, OUTPUT);1873 """.format(arg=self.__ARG_MAX_UDA_UNNECESSARY_EXPR, emp=self.emp_key)1874 tuples = [(a, b, c, d) for (a, b, c, d) in self.emp_table1875 if all(d > d1 or d == d1 and a >= a11876 for a1, b1, c1, d1 in self.emp_table)]1877 self.check_result(query, collections.Counter(tuples))1878 def test_decomposable_average_uda_repeated(self):1879 """Test of repeated invocations of decomposed UDAs."""1880 query = """%s1881 out = [FROM SCAN(%s) AS X EMIT dept_id,1882 LogicalAvg(salary) + LogicalAvg($0)];1883 STORE(out, OUTPUT);1884 """ % (TestQueryFunctions.__DECOMPOSED_UDA, self.emp_key)1885 result_dict = collections.defaultdict(list)1886 for t in self.emp_table.elements():1887 result_dict[t[1]].append(t)1888 tuples = []1889 for key, vals in result_dict.iteritems():1890 _cnt = len(vals)1891 _salary_sum = sum(t[3] for t in vals)1892 _id_sum = sum(t[0] for t in vals)1893 tuples.append((key, (float(_salary_sum) + float(_id_sum)) /​ _cnt))1894 self.check_result(query, collections.Counter(tuples))1895 def test_decomposable_sum_uda(self):1896 """Test of a decomposed sum UDA.1897 Note that the logical aggregate returns a broken value, so1898 this test only passes if we decompose the aggregate properly.1899 """1900 query = """1901 uda MySumBroken(x) {1902 [0 as _sum];1903 [_sum + x];1904 17; -- broken1905 };1906 uda MySum(x) {1907 [0 as _sum];1908 [_sum + x];1909 };1910 uda* MySumBroken {MySum, MySum};1911 out = [FROM SCAN(%s) AS X EMIT dept_id, MySumBroken(salary)];1912 STORE(out, OUTPUT);1913 """ % self.emp_key1914 self.check_result(query, self.__aggregate_expected_result(sum))1915 def test_decomposable_uda_with_builtin_agg(self):1916 """Test of a decomposed UDA + builtin aggregate.1917 Note that the logical aggregate returns a broken value, so1918 this test only passes if we decompose the aggregate properly.1919 """1920 query = """1921 uda MySumBroken(x) {1922 [0 as _sum];1923 [_sum + x];1924 17; -- broken1925 };1926 uda MySum(x) {1927 [0 as _sum];1928 [_sum + x];1929 };1930 uda* MySumBroken {MySum, MySum};1931 out = [FROM SCAN(%s) AS X EMIT dept_id, MySumBroken(salary), SUM(id)];1932 STORE(out, OUTPUT);1933 """ % self.emp_key1934 result_dict = collections.defaultdict(list)1935 for t in self.emp_table.elements():1936 result_dict[t[1]].append(t)1937 tuples = []1938 for key, vals in result_dict.iteritems():1939 _salary_sum = sum(t[3] for t in vals)1940 _id_sum = sum(t[0] for t in vals)1941 tuples.append((key, _salary_sum, _id_sum))1942 self.check_result(query, collections.Counter(tuples))1943 def test_duplicate_decomposable_uda(self):1944 query = """1945 uda Agg1(x) {1946 [0 as _sum];1947 [_sum + x];1948 };1949 uda* Agg1 {Agg1, Agg1};1950 uda* Agg1 {Agg1, Agg1};1951 """1952 with self.assertRaises(DuplicateFunctionDefinitionException):1953 self.check_result(query, None)1954 def test_decomposable_uda_type_check_fail1(self):1955 query = """1956 uda Logical(x) {1957 [0 as _sum];1958 [_sum + x];1959 };1960 uda Local(x, y) {1961 [0 as _sum];1962 [_sum + x];1963 };1964 uda* Logical {Local, Logical};1965 """1966 with self.assertRaises(InvalidArgumentList):1967 self.check_result(query, None)1968 def test_decomposable_uda_type_check_fail2(self):1969 query = """1970 uda Logical(x) {1971 [0 as _sum];1972 [_sum + x];1973 };1974 uda Remote(x, y) {1975 [0 as _sum];1976 [_sum + x];1977 };1978 uda* Logical {Logical, Remote};1979 """1980 with self.assertRaises(InvalidArgumentList):1981 self.check_result(query, None)1982 def test_decomposable_uda_type_check_fail3(self):1983 query = """1984 uda Logical(x) {1985 [0 as _sum];1986 [_sum + x];1987 };1988 uda Remote(x) {1989 [0 as _sum];1990 [_sum + x];1991 [1, 2, 3];1992 };1993 uda* Logical {Logical, Remote};1994 """1995 with self.assertRaises(InvalidEmitList):1996 self.check_result(query, None)1997 def test_running_mean_sapply(self):1998 query = """1999 APPLY RunningMean(value) {2000 [0 AS _count, 0 AS _sum];2001 [_count + 1, _sum + value];2002 _sum /​ _count;2003 };2004 out = [FROM SCAN(%s) AS X EMIT id, RunningMean(X.salary)];2005 STORE(out, OUTPUT);2006 """ % self.emp_key2007 tps = []2008 _sum = 02009 _count = 02010 for emp in self.emp_table:2011 _sum += emp[3]2012 _count += 12013 tps.append((emp[0], float(_sum) /​ _count))2014 self.check_result(query, collections.Counter(tps))2015 def test_sapply_multi_invocation(self):2016 query = """2017 APPLY RunningSum(x) {2018 [0 AS _sum];2019 [_sum + x];2020 _sum;2021 };2022 out = [FROM SCAN(%s) AS X2023 EMIT id, RunningSum(X.salary), RunningSum(id)];2024 STORE(out, OUTPUT);2025 """ % self.emp_key2026 tps = []2027 _sum1 = 02028 _sum2 = 02029 for emp in self.emp_table:2030 _sum1 += emp[3]2031 _sum2 += emp[0]2032 tps.append((emp[0], _sum1, _sum2))2033 self.check_result(query, collections.Counter(tps))2034 def test_118_regression(self):2035 """Regression test for https:/​/​github.com/​uwescience/​datalogcompiler/​issues/​118""" # noqa2036 query = """2037 out = [FROM SCAN(%s) AS X WHERE dept_id = 2 AND salary = 5000 EMIT id];2038 STORE(out, OUTPUT);2039 """ % self.emp_key2040 expected = collections.Counter(2041 [(x[0],) for x in self.emp_table.elements()2042 if x[1] == 2 and x[3] == 5000])2043 self.check_result(query, expected)2044 def test_scan_emp_empty_statement(self):2045 """Test with an empty statement."""2046 query = """2047 ;;;2048 emp = SCAN(%s);2049 STORE(emp, OUTPUT);;;2050 """ % self.emp_key2051 self.check_result(query, self.emp_table)2052 def test_empty_statement_parse(self):2053 """Program that contains nothing but empty statements."""2054 with self.assertRaises(MyrialCompileException):2055 self.check_result(";", None)2056 def test_case_binary(self):2057 query = """2058 emp = SCAN(%s);2059 rich = [FROM emp EMIT id, CASE WHEN salary > 150002060 THEN salary /​/​ salary2061 ELSE 0 /​/​ salary END];2062 STORE(rich, OUTPUT);2063 """ % self.emp_key2064 def func(y):2065 if y > 15000:2066 return 12067 else:2068 return 02069 expected = collections.Counter(2070 [(x[0], func(x[3])) for x in self.emp_table.elements()])2071 self.check_result(query, expected)2072 def test_case_ternary(self):2073 query = """2074 emp = SCAN(%s);2075 rich = [FROM emp EMIT id,2076 CASE WHEN salary <= 5000 THEN "poor"2077 WHEN salary <= 25000 THEN "middle class"2078 ELSE "rich"2079 END];2080 STORE(rich, OUTPUT);2081 """ % self.emp_key2082 def func(y):2083 if y <= 5000:2084 return 'poor'2085 elif y <= 25000:2086 return 'middle class'2087 else:2088 return 'rich'2089 expected = collections.Counter(2090 [(x[0], func(x[3])) for x in self.emp_table.elements()])2091 self.check_result(query, expected)2092 def test_case_aggregate(self):2093 query = """2094 emp = SCAN(%s);2095 rich = [FROM emp EMIT SUM(3 * CASE WHEN salary > 150002096 THEN 1 ELSE 0 END)];2097 STORE(rich, OUTPUT);2098 """ % self.emp_key2099 _sum = 3 * len([x for x in self.emp_table.elements()2100 if x[3] > 15000])2101 self.check_result(query, collections.Counter([(_sum,)]))2102 def test_case_unbox(self):2103 query = """2104 TH = [15000];2105 A = [1 AS one, 2 AS two, 3 AS three];2106 emp = SCAN(%s);2107 rich = [FROM emp EMIT SUM(*A.three * CASE WHEN salary > *TH2108 THEN 1 ELSE 0 END)];2109 STORE(rich, OUTPUT);2110 """ % self.emp_key2111 _sum = 3 * len([x for x in self.emp_table.elements()2112 if x[3] > 15000])2113 self.check_result(query, collections.Counter([(_sum,)]))2114 def test_default_column_names(self):2115 with open('examples/​groupby1.myl') as fh:2116 query = fh.read()2117 self.execute_query(query)2118 scheme = self.db.get_scheme('OUTPUT')2119 self.assertEquals(scheme.getName(0), "_COLUMN0_")2120 self.assertEquals(scheme.getName(1), "id")2121 def test_worker_id(self):2122 query = """2123 X = [FROM SCAN(%s) AS X EMIT X.id, WORKER_ID()];2124 STORE(X, OUTPUT);2125 """ % self.emp_key2126 expected = collections.Counter([(x[0], 0) for x2127 in self.emp_table.elements()])2128 self.check_result(query, expected)2129 def test_flip_zero(self):2130 """flip(0) should always evaluate to false"""2131 query = """2132 X = [FROM SCAN(%s) AS X WHERE flip(0) EMIT *];2133 STORE(X, OUTPUT);2134 """ % self.emp_key2135 expected = collections.Counter()2136 self.check_result(query, expected)2137 def test_flip_one(self):2138 """flip(1) should always evaluate to true"""2139 query = """2140 X = [FROM SCAN(%s) AS X WHERE flip(1) EMIT *];2141 STORE(X, OUTPUT);2142 """ % self.emp_key2143 expected = collections.Counter(self.emp_table.elements())2144 self.check_result(query, expected)2145 def test_substr(self):2146 query = """2147 ZERO = [0];2148 THREE = [3];2149 out = [FROM SCAN(%s) AS X EMIT X.id, substr(X.name, *ZERO, *THREE)];2150 STORE(out, OUTPUT);2151 """ % self.emp_key2152 expected = collections.Counter(2153 [(x[0], x[2][0:3]) for x in self.emp_table.elements()])2154 self.check_result(query, expected)2155 def test_len(self):2156 query = """2157 out = [FROM SCAN(%s) AS X EMIT X.id, len(X.name)];2158 STORE(out, OUTPUT);2159 """ % self.emp_key2160 expected = collections.Counter(2161 [(x[0], len(x[2])) for x in self.emp_table.elements()])2162 self.check_result(query, expected)2163 def test_head(self):2164 query = """2165 out = [FROM SCAN(%s) AS X EMIT X.id, head(X.name, 10)];2166 STORE(out, OUTPUT);2167 """ % self.emp_key2168 expected = collections.Counter(2169 [(x[0], x[2][0:10]) for x in self.emp_table.elements()])2170 self.check_result(query, expected)2171 def test_tail(self):2172 query = """2173 ZERO = [0];2174 THREE = [3];2175 out = [FROM SCAN(%s) AS X EMIT X.id, tail(X.name, 10)];2176 STORE(out, OUTPUT);2177 """ % self.emp_key2178 expected = collections.Counter(2179 [(x[0], (lambda i: i if len(i) <= 10 else i[len(i) - 10:])(x[2]))2180 for x in self.emp_table.elements()])2181 self.check_result(query, expected)2182 def test_column_name_reserved(self):2183 query = """2184 T = EMPTY(x:INT);2185 A = [FROM T EMIT SafeDiv(x, 3) AS SafeDiv];2186 STORE (A, BadProgram);2187 """2188 with self.assertRaises(ReservedTokenException):2189 self.check_result(query, None)2190 def test_bug_226(self):2191 query = """2192 T = scan({emp});2193 A = select id, salary from T where 1=1;2194 B = select id, salary from A where salary=90000;2195 C = select A.* from B, A where A.salary < B.salary;2196 STORE (C, OUTPUT);2197 """.format(emp=self.emp_key)2198 expected = collections.Counter(2199 (i, s) for (i, d, n, s) in self.emp_table2200 for (i2, d2, n2, s2) in self.emp_table2201 if s2 == 90000 and s < s2)2202 self.assertEquals(expected, self.execute_query(query))2203 def test_column_mixed_case_reserved(self):2204 query = """2205 T = EMPTY(x:INT);2206 A = [FROM T EMIT MAX(x) AS maX];2207 STORE (A, BadProgram);2208 """2209 with self.assertRaises(ReservedTokenException):2210 self.check_result(query, None)2211 def test_variable_name_reserved(self):2212 query = """2213 T = EMPTY(x:INT);2214 avg = COUNTALL(T);2215 STORE (countall, BadProgram);2216 """2217 with self.assertRaises(ReservedTokenException):2218 self.check_result(query, None)2219 def test_empty_query(self):2220 query = """2221 T1 = empty(x:INT);2222 """2223 with self.assertRaises(MyrialCompileException):2224 self.check_result(query, None)2225 def test_sink(self):2226 query = """2227 ZERO = [0];2228 A = [from ZERO emit *];2229 SINK(A);2230 """2231 self.evaluate_sink_query(query)2232 def test_string_cast(self):2233 query = """2234 emp = SCAN(%s);2235 bc = [FROM emp EMIT STRING(emp.dept_id) AS foo];2236 STORE(bc, OUTPUT);2237 """ % self.emp_key2238 ex = collections.Counter((str(d),) for (i, d, n, s) in self.emp_table)2239 ex_scheme = scheme.Scheme([('foo', types.STRING_TYPE)])2240 self.check_result(query, ex)2241 def test_float_cast(self):2242 query = """2243 emp = SCAN(%s);2244 bc = [FROM emp EMIT float(emp.dept_id) AS foo];2245 STORE(bc, OUTPUT);2246 """ % self.emp_key2247 ex = collections.Counter((float(d),) for (i, d, n, s) in self.emp_table) # noqa2248 ex_scheme = scheme.Scheme([('foo', types.DOUBLE_TYPE)])2249 self.check_result(query, ex, ex_scheme)2250 def test_sequence(self):2251 query = """2252 T1 = scan({rel});2253 store(T1, OUTPUT);2254 T2 = scan({rel});2255 store(T2, OUTPUT2);2256 """.format(rel=self.emp_key)2257 physical_plan = self.get_physical_plan(query)2258 self.assertIsInstance(physical_plan, raco.algebra.Sequence)2259 self.check_result(query, self.emp_table, output='OUTPUT')2260 self.check_result(query, self.emp_table, output='OUTPUT2')2261 def test_238_dont_renumber_columns(self):2262 # see https:/​/​github.com/​uwescience/​raco/​issues/​2382263 query = """2264 x = [1 as a, 2 as b];2265 y = [from x as x1, x as x22266 emit x2.a, x2.b];2267 z = [from y emit a];2268 store(z, OUTPUT);"""2269 self.check_result(query, collections.Counter([(1,)]))2270 def test_implicit_column_names(self):2271 query = """2272 x = [1 as a, 2 as b];2273 y = [from x as x1, x as x22274 emit $0, $1];2275 store(y, OUTPUT);"""2276 expected_scheme = scheme.Scheme([('a', types.LONG_TYPE),2277 ('b', types.LONG_TYPE)])2278 self.check_result(query, collections.Counter([(1, 2)]),2279 scheme=expected_scheme)2280 def test_implicit_column_names2(self):2281 query = """2282 x = [1 as a, 2 as b];2283 y = [from x as x1, x as x22284 emit $2, $3];2285 store(y, OUTPUT);"""2286 expected_scheme = scheme.Scheme([('a', types.LONG_TYPE),2287 ('b', types.LONG_TYPE)])2288 self.check_result(query, collections.Counter([(1, 2)]),2289 scheme=expected_scheme)2290 def test_implicit_column_names3(self):2291 query = """2292 x = [1 as a, 2 as b];2293 y = [from x as x1, x as x22294 emit $2, $1];2295 store(y, OUTPUT);"""2296 expected_scheme = scheme.Scheme([('a', types.LONG_TYPE),2297 ('b', types.LONG_TYPE)])2298 self.check_result(query, collections.Counter([(1, 2)]),2299 scheme=expected_scheme)2300 def test_unbox_index_column_names(self):2301 query = """2302 x = [1 as a, 2 as b];2303 y = [from x as x1, x as x22304 emit x2.$0, x2.$1];2305 store(y, OUTPUT);"""2306 expected_scheme = scheme.Scheme([('a', types.LONG_TYPE),2307 ('b', types.LONG_TYPE)])2308 self.check_result(query, collections.Counter([(1, 2)]),2309 scheme=expected_scheme)2310 def test_duplicate_column_names(self):2311 query = """2312 x = [1 as a, 2 as b];2313 y = [from x as x1, x as x2 emit x1.a, x2.a];2314 store(y, OUTPUT);"""2315 expected_scheme = scheme.Scheme([('a', types.LONG_TYPE),2316 ('a1', types.LONG_TYPE)])2317 self.check_result(query, collections.Counter([(1, 1)]),2318 scheme=expected_scheme)2319 def test_distinct_aggregate_combinations(self):2320 """Test to make sure that aggregates of different columns are not2321 combined together by the optimizer."""2322 query = """2323 emp = scan(%s);2324 ans = [from emp emit sum(dept_id) as d, sum(salary) as s];2325 store(ans, OUTPUT);""" % self.emp_key2326 sum_dept_id = sum([e[1] for e in self.emp_table])2327 sum_salary = sum([e[3] for e in self.emp_table])2328 expected = collections.Counter([(sum_dept_id, sum_salary)])2329 self.check_result(query, expected)2330 def test_bug_245_dead_code_with_do_while_plan(self):2331 """Test to make sure that a dead program (no Stores) with a DoWhile2332 throws the correct parse error."""2333 with open('examples/​deadcode2.myl') as fh:2334 query = fh.read()2335 with self.assertRaises(MyrialCompileException):2336 self.check_result(query, None)2337 def test_simple_do_while(self):2338 """count to 32 by powers of 2"""2339 with open('examples/​iteration.myl') as fh:2340 query = fh.read()2341 expected = collections.Counter([(32, 5)])...

test_pyshell.py

Source:test_pyshell.py

...52 def all_removed(self, text):53 self.assertEqual('', self.regexp.sub('', text))54 def none_removed(self, text):55 self.assertEqual(text, self.regexp.sub('', text))56 def check_result(self, text, expected):57 self.assertEqual(expected, self.regexp.sub('', text))58 def test_empty(self):59 self.all_removed('')60 def test_newline(self):61 self.all_removed('\n')62 def test_whitespace_no_newline(self):63 self.all_removed(' ')64 self.all_removed(' ')65 self.all_removed(' ')66 self.all_removed(' ' * 20)67 self.all_removed('\t')68 self.all_removed('\t\t')69 self.all_removed('\t\t\t')70 self.all_removed('\t' * 20)71 self.all_removed('\t ')72 self.all_removed(' \t')73 self.all_removed(' \t \t ')74 self.all_removed('\t \t \t')75 def test_newline_with_whitespace(self):76 self.all_removed(' \n')77 self.all_removed('\t\n')78 self.all_removed(' \t\n')79 self.all_removed('\t \n')80 self.all_removed('\n ')81 self.all_removed('\n\t')82 self.all_removed('\n \t')83 self.all_removed('\n\t ')84 self.all_removed(' \n ')85 self.all_removed('\t\n ')86 self.all_removed(' \n\t')87 self.all_removed('\t\n\t')88 self.all_removed('\t \t \t\n')89 self.all_removed(' \t \t \n')90 self.all_removed('\n\t \t \t')91 self.all_removed('\n \t \t ')92 def test_multiple_newlines(self):93 self.check_result('\n\n', '\n')94 self.check_result('\n' * 5, '\n' * 4)95 self.check_result('\n' * 5 + '\t', '\n' * 4)96 self.check_result('\n' * 20, '\n' * 19)97 self.check_result('\n' * 20 + ' ', '\n' * 19)98 self.check_result(' \n \n ', ' \n')99 self.check_result(' \n\n ', ' \n')100 self.check_result(' \n\n', ' \n')101 self.check_result('\t\n\n', '\t\n')102 self.check_result('\n\n ', '\n')103 self.check_result('\n\n\t', '\n')104 self.check_result(' \n \n ', ' \n')105 self.check_result('\t\n\t\n\t', '\t\n')106 def test_non_whitespace(self):107 self.none_removed('a')108 self.check_result('a\n', 'a')109 self.check_result('a\n ', 'a')110 self.check_result('a \n ', 'a')111 self.check_result('a \n\t', 'a')112 self.none_removed('-')113 self.check_result('-\n', '-')114 self.none_removed('.')115 self.check_result('.\n', '.')116 def test_unsupported_whitespace(self):117 self.none_removed('\v')118 self.none_removed('\n\v')119 self.check_result('\v\n', '\v')120 self.none_removed(' \n\v')121 self.check_result('\v\n ', '\v')122if __name__ == '__main__':...

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