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Категорія: Магазини і торгівля

Усього знайдено: 171

Фільтрувати

Домашній улюбленець

(099) 256-43-52

м.Івано-Франківськ, Вулиця Дністровська, 5

Ветеринарна аптека. Продаж ветеринарних препаратів, харчування, одяг, аксесуари для тварин.

Мережа ветеринарних клінік "ОлВет"

(050) 519-81-18

м.Івано-Франківськ, Вулиця Бельведерська, 14

Ветеринарна клініка, аптека, ветеринарна допомога. Огляд, консультації, лікування. Широкий спектр ветеринарних препаратів. Засоби по догляду за тваринами

Ветеринарна аптека "Зоосвіт"

(096) 558-44-52

м.Івано-Франківськ, Вулиця Залізнична, 4; Вулиця Молодіжна, 55

Продаж ветпрепаратів, вакцини, вітаміни, корма для тварин, аксесуари

Ветеринарна аптека "Добрий доктор"

(050) 858-09-59

м.Івано-Франківськ, Вулиця Дністровська, 5; Вулиця Галицька, 112Д, пов. 0

Продаж ветпрепаратів, кормів для тварин, засобів догляду за тваринами. Центральний ринок, магазин №4-5 (біля вхідних дверей у Центральний ринок), №40 (всередині Центрального ринку, великий круг)

Оптика Плюс-Мінус

+38 (099) 75 76 085

м. Івано-Франківськ, вул.Мельника, 9Б

Оптика доступна для всіх.

Електромонтаж-ІФ

(0342) 74-07-71

м.Івано-Франківськ, Вулиця Галицька, 87, офіс 410

Електромонтажні роботи. Кабельні лінії. Електричні щити. Заземлення та блискавкозахист. Системи відеоспостереження і контролю доступу. Світлодіодне освітлення. Супутникове телебачення. Системи пожежної та охоронної сихналізації та інше.

Новітні енергетичні програми

(0342) 50-99-66

м.Івано-Франківськ, Вулиця Юності, 62Б

Продаж електротехнічної продукції, встановлення ліній, підстанцій.

Студія англійської мови "English House"

+38 (066) 365-83-00

Перівіряйте самі, оплата після 3 занять. Сучасна методика. Висококлавіфіковані викладачі з досвідом роботи. Всі рівні, від початкового до Advanced. Швидкий результат

ТзОВ АКОРД

(0342) 55-23-75

ТзОВ АКОРД пропонує: печатки, штампи, екслібриси; бухгатерські бланки

Профі-центр електрики

(0342) 70-53-00

м.Івано-Франківськ, Вулиця Гетьмана Мазепи, 164В

Продаж промислових електротоварів. Продаж промислових електротоварів, електромонтаж, виробництво підстанцій та щитів. Сучасне електротехнічне обладнання.

Розділи

Розклад руху транспорту

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Баннер 2

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Для внесення в ДОВІДНИК e-mail:
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Універсальний, зручний, цікавий рекламно-інформаційний ДОВІДНИК Івано-Франківська, України

216.9msRequest Duration14MBMemory UsageGET category/{alias}/{subAlias?}Route
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    • Application (197.12ms)
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      • parts.article.articleInCategoryList (app/Views/parts/article/articleInCategoryList.blade.php)23blade
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      uri
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      controller
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      app/Http/Controllers/IndexController.php:96-158
      32 statements were executed76.29ms
      • select * from `permissions`580μsdovidka-testing
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      • select `roles`.*, `permission_role`.`permission_id` as `pivot_permission_id`, `permission_role`.`role_id` as `pivot_role_id` from `roles` inner join `permission_role` on `roles`.`id` = `permission_role`.`role_id` where `permission_role`.`permission_id` in ('1', '2', '3', '5', '6', '7', '8', '9', '10', '11', '12')820μsdovidka-testing
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        hintsUse SELECT * only if you need all columns from table
      • select * from `sessions` where `id` = '5ae8fad630b4e402ab43a77f8ef8b12aa94b72b0' limit 1420μsdovidka-testing
        Params
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      • select * from `settings`460μsdovidka-testing
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      • select * from `contents` where `isCategory` = '1' and `section` = 'categories'4.05msdovidka-testing
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        1441617
        1451618
        1461619
        1471620
        1481621
        1491622
        1501623
        1511624
        1521625
        1531626
        1541627
        1551628
        1561629
        1571630
        1581631
        1591632
        1601633
        1611634
        1621635
        1631636
        1641637
        1651638
        1661639
        1671640
        1681641
        1691642
        1701643
        1711644
        1721645
        1731646
        1741647
        1751648
        1761649
        1771650
        1781651
        1791652
        1801653
        1811654
        1821655
        1831656
        1841657
        1851658
        1861659
        1871660
        1881661
        1891662
        1901663
        1911664
        1921665
        1931666
        1941667
        1951668
        1961669
        1971670
        1981671
        1991672
        2001673
        2011674
        2021675
        2031676
        2041677
        2051678
        2061679
        2071680
        2081681
        2091682
        2101683
        2111684
        2121685
        2131686
        2141687
        2151688
        2161689
        2171690
        2181691
        2191692
        2201693
        2211694
        2221695
        2231696
        2241697
        2251698
        2261699
        2271700
        2281701
        2291702
        2301703
        2311704
        2321705
        2331706
        2341707
        2351708
        2361709
        2371710
        2381711
        2391712
        2401713
        2411714
        2421715
        2431716
        2441717
        2451718
        2461719
        2471720
        2481721
        2491722
        2501723
        2511724
        2521725
        2531726
        2541727
        2551728
        2561729
        2571730
        2581731
        2591732
        2601733
        2611734
        2621735
        2631736
        2641737
        2651738
        2661739
        2671740
        2681741
        2691742
        2701743
        2711744
        2721745
        2731746
        2741747
        2751748
        2761749
        2771750
        2781751
        2791752
        2801753
        2811754
        2821755
        2831756
        2841757
        2851758
        2861759
        2871760
        2881761
        2891762
        2901763
        2911764
        2921765
        2931766
        2941767
        2951768
        2961769
        2971770
        2981771
        2991772
        3001773
        3011774
        3021775
        3031776
        3041777
        3051778
        3061779
        3071780
        3081790
        309ua
        hintsUse SELECT * only if you need all columns from table
      • select * from `contents` where `alias` = 'contacts' limit 12.39msdovidka-testing
        Params
        0contacts
        hintsUse SELECT * only if you need all columns from table
        LIMIT without ORDER BY causes non-deterministic results, depending on the query execution plan
      • select * from `text` where `text`.`article_id` in ('3574')2.57msdovidka-testing
        Params
        03574
        hintsUse SELECT * only if you need all columns from table
      • select * from `contents` where `section` = 'banners' and `featured` = '1' limit 1410μsdovidka-testing
        Params
        0banners
        11
        hintsUse SELECT * only if you need all columns from table
        LIMIT without ORDER BY causes non-deterministic results, depending on the query execution plan
      • select * from `contents` where `isCategory` = '1' and `section` = 'advertisement-categories'2.34msdovidka-testing
        Params
        01
        1advertisement-categories
        hintsUse SELECT * only if you need all columns from table
      • select * from `text` where `text`.`article_id` in ('1509', '1781', '1782', '1783', '1784', '1785', '1786', '1787', '1788', '1789') and `lang` = 'ua'2.65msdovidka-testing
        Params
        01509
        11781
        21782
        31783
        41784
        51785
        61786
        71787
        81788
        91789
        10ua
        hintsUse SELECT * only if you need all columns from table
      • select * from `contents` where `alias` = 'banner-info' limit 12.29msdovidka-testing
        Params
        0banner-info
        hintsUse SELECT * only if you need all columns from table
        LIMIT without ORDER BY causes non-deterministic results, depending on the query execution plan
      • select * from `text` where `text`.`article_id` in ('3800')2.76msdovidka-testing
        Params
        03800
        hintsUse SELECT * only if you need all columns from table
      • select * from `contents` where `alias` = 'mahazyny-i-torhivlya' limit 1400μsdovidka-testing
        Params
        0mahazyny-i-torhivlya
        hintsUse SELECT * only if you need all columns from table
        LIMIT without ORDER BY causes non-deterministic results, depending on the query execution plan
      • select * from `text` where `text`.`article_id` in ('1494') and `lang` = 'ua'2.65msdovidka-testing
        Params
        01494
        1ua
        hintsUse SELECT * only if you need all columns from table
      • select * from `contents` right join `fixing` on `fixing`.`item_id` = `contents`.`id` and `fixing`.`category_id` = "1494" where `status` = '1' and `contents`.`section` = 'banners' and `contents`.`isCategory` = '0' order by `fixing`.`fix_position` asc410μsdovidka-testing
        Params
        01
        1banners
        20
        hintsUse SELECT * only if you need all columns from table
      • select * from `contents` inner join `category_items` on `contents`.`id` = `category_items`.`item_id` where `status` = '1' and `category_items`.`category_id` = '1494' and `status` != '5' and `contents`.`section` = 'companies' and `contents`.`isCategory` = '0' order by `created_at` desc3.88msdovidka-testing
        Params
        01
        11494
        25
        3companies
        40
        hintsUse SELECT * only if you need all columns from table
        The != operator is not standard. Use the <> operator to test for inequality instead.
      • select * from `text` where `text`.`article_id` in ('3560', '3551', '3552', '3553', '3554', '3555', '3557', '3558', '3556', '3549', '3550', '3548', '2609', '2610', '2608', '2405', '2401', '2402', '2403', '2386', '2387', '2388', '2390', '2391', '2392', '2393', '2394', '2395', '2396', '2397', '2398', '2399', '2378', '2379', '2380', '2381', '2382', '2383', '2384', '2369', '2370', '2371', '2372', '2374', '2376', '2377', '2363', '2364', '2365', '2367', '2368', '2354', '2355', '2356', '2357', '2358', '2359', '2360', '2361', '2362', '2343', '2344', '2345', '2346', '2347', '2348', '2350', '2351', '2352', '2353', '2336', '2338', '2340', '2341', '2342', '2327', '2328', '2329', '2331', '2321', '2322', '2323', '2324', '2325', '2310', '2311', '2312', '2313', '2314', '2315', '2316', '2317', '2318', '2319', '2320', '2309', '2301', '2302', '2303', '2304', '2305', '2306', '2307', '2308', '2288', '2289', '2290', '2291', '2292', '2293', '2294', '2295', '2296', '2297', '2298', '2299', '2300', '2273', '2274', '2275', '2276', '2277', '2278', '2279', '2280', '2281', '2282', '2283', '2284', '2285', '2286', '2287', '2261', '2262', '2263', '2264', '2265', '2266', '2267', '2269', '2271', '2272', '2259', '2251', '2252', '2253', '2255', '2254', '2243', '2245', '2247', '2248', '2249', '2250', '2229', '2157', '2158', '2150', '2116', '2109', '2110', '2111', '2106', '2107', '2101', '2096', '2088', '2054', '2048', '1955', '1957') and `lang` = 'ua'4.54msdovidka-testing
        Params
        03560
        13551
        23552
        33553
        43554
        53555
        63557
        73558
        83556
        93549
        103550
        113548
        122609
        132610
        142608
        152405
        162401
        172402
        182403
        192386
        202387
        212388
        222390
        232391
        242392
        252393
        262394
        272395
        282396
        292397
        302398
        312399
        322378
        332379
        342380
        352381
        362382
        372383
        382384
        392369
        402370
        412371
        422372
        432374
        442376
        452377
        462363
        472364
        482365
        492367
        502368
        512354
        522355
        532356
        542357
        552358
        562359
        572360
        582361
        592362
        602343
        612344
        622345
        632346
        642347
        652348
        662350
        672351
        682352
        692353
        702336
        712338
        722340
        732341
        742342
        752327
        762328
        772329
        782331
        792321
        802322
        812323
        822324
        832325
        842310
        852311
        862312
        872313
        882314
        892315
        902316
        912317
        922318
        932319
        942320
        952309
        962301
        972302
        982303
        992304
        1002305
        1012306
        1022307
        1032308
        1042288
        1052289
        1062290
        1072291
        1082292
        1092293
        1102294
        1112295
        1122296
        1132297
        1142298
        1152299
        1162300
        1172273
        1182274
        1192275
        1202276
        1212277
        1222278
        1232279
        1242280
        1252281
        1262282
        1272283
        1282284
        1292285
        1302286
        1312287
        1322261
        1332262
        1342263
        1352264
        1362265
        1372266
        1382267
        1392269
        1402271
        1412272
        1422259
        1432251
        1442252
        1452253
        1462255
        1472254
        1482243
        1492245
        1502247
        1512248
        1522249
        1532250
        1542229
        1552157
        1562158
        1572150
        1582116
        1592109
        1602110
        1612111
        1622106
        1632107
        1642101
        1652096
        1662088
        1672054
        1682048
        1691955
        1701957
        171ua
        hintsUse SELECT * only if you need all columns from table
      • select `contents`.*, `category_items`.`item_id` as `pivot_item_id`, `category_items`.`category_id` as `pivot_category_id` from `contents` inner join `category_items` on `contents`.`id` = `category_items`.`category_id` where `category_items`.`item_id` in ('3560', '3551', '3552', '3553', '3554', '3555', '3557', '3558', '3556', '3549', '3550', '3548', '2609', '2610', '2608', '2405', '2401', '2402', '2403', '2386', '2387', '2388', '2390', '2391', '2392', '2393', '2394', '2395', '2396', '2397', '2398', '2399', '2378', '2379', '2380', '2381', '2382', '2383', '2384', '2369', '2370', '2371', '2372', '2374', '2376', '2377', '2363', '2364', '2365', '2367', '2368', '2354', '2355', '2356', '2357', '2358', '2359', '2360', '2361', '2362', '2343', '2344', '2345', '2346', '2347', '2348', '2350', '2351', '2352', '2353', '2336', '2338', '2340', '2341', '2342', '2327', '2328', '2329', '2331', '2321', '2322', '2323', '2324', '2325', '2310', '2311', '2312', '2313', '2314', '2315', '2316', '2317', '2318', '2319', '2320', '2309', '2301', '2302', '2303', '2304', '2305', '2306', '2307', '2308', '2288', '2289', '2290', '2291', '2292', '2293', '2294', '2295', '2296', '2297', '2298', '2299', '2300', '2273', '2274', '2275', '2276', '2277', '2278', '2279', '2280', '2281', '2282', '2283', '2284', '2285', '2286', '2287', '2261', '2262', '2263', '2264', '2265', '2266', '2267', '2269', '2271', '2272', '2259', '2251', '2252', '2253', '2255', '2254', '2243', '2245', '2247', '2248', '2249', '2250', '2229', '2157', '2158', '2150', '2116', '2109', '2110', '2111', '2106', '2107', '2101', '2096', '2088', '2054', '2048', '1955', '1957')12.44msdovidka-testing
        Params
        03560
        13551
        23552
        33553
        43554
        53555
        63557
        73558
        83556
        93549
        103550
        113548
        122609
        132610
        142608
        152405
        162401
        172402
        182403
        192386
        202387
        212388
        222390
        232391
        242392
        252393
        262394
        272395
        282396
        292397
        302398
        312399
        322378
        332379
        342380
        352381
        362382
        372383
        382384
        392369
        402370
        412371
        422372
        432374
        442376
        452377
        462363
        472364
        482365
        492367
        502368
        512354
        522355
        532356
        542357
        552358
        562359
        572360
        582361
        592362
        602343
        612344
        622345
        632346
        642347
        652348
        662350
        672351
        682352
        692353
        702336
        712338
        722340
        732341
        742342
        752327
        762328
        772329
        782331
        792321
        802322
        812323
        822324
        832325
        842310
        852311
        862312
        872313
        882314
        892315
        902316
        912317
        922318
        932319
        942320
        952309
        962301
        972302
        982303
        992304
        1002305
        1012306
        1022307
        1032308
        1042288
        1052289
        1062290
        1072291
        1082292
        1092293
        1102294
        1112295
        1122296
        1132297
        1142298
        1152299
        1162300
        1172273
        1182274
        1192275
        1202276
        1212277
        1222278
        1232279
        1242280
        1252281
        1262282
        1272283
        1282284
        1292285
        1302286
        1312287
        1322261
        1332262
        1342263
        1352264
        1362265
        1372266
        1382267
        1392269
        1402271
        1412272
        1422259
        1432251
        1442252
        1452253
        1462255
        1472254
        1482243
        1492245
        1502247
        1512248
        1522249
        1532250
        1542229
        1552157
        1562158
        1572150
        1582116
        1592109
        1602110
        1612111
        1622106
        1632107
        1642101
        1652096
        1662088
        1672054
        1682048
        1691955
        1701957
        hintsUse SELECT * only if you need all columns from table
      • select * from `text` where `text`.`article_id` in ('1570', '1571', '1573', '1575', '1576', '1579', '1585', '1489', '1595', '1597', '1598', '1491', '1617', '1619', '1622', '1638', '1646', '1494', '1651', '1652', '1655', '1656', '1657', '1659', '1660', '1661', '1662', '1664', '1665', '1666', '1667', '1668', '1669', '1670', '1671', '1672', '1674', '1675', '1676', '1677', '1678', '1679', '1704', '1497', '1501', '1716', '1745', '1747', '1749', '1758', '1760', '1761', '1762', '1763', '1506', '1507', '1680', '1513', '1514', '1632', '1681', '1683', '1684', '1601', '1587', '1790', '1718', '1685', '1686', '1687', '1633', '1562', '1485', '1565', '1477', '1534', '1487', '1488', '1584', '1493', '1658', '1496', '1605', '1499', '1512')3.9msdovidka-testing
        Params
        01570
        11571
        21573
        31575
        41576
        51579
        61585
        71489
        81595
        91597
        101598
        111491
        121617
        131619
        141622
        151638
        161646
        171494
        181651
        191652
        201655
        211656
        221657
        231659
        241660
        251661
        261662
        271664
        281665
        291666
        301667
        311668
        321669
        331670
        341671
        351672
        361674
        371675
        381676
        391677
        401678
        411679
        421704
        431497
        441501
        451716
        461745
        471747
        481749
        491758
        501760
        511761
        521762
        531763
        541506
        551507
        561680
        571513
        581514
        591632
        601681
        611683
        621684
        631601
        641587
        651790
        661718
        671685
        681686
        691687
        701633
        711562
        721485
        731565
        741477
        751534
        761487
        771488
        781584
        791493
        801658
        811496
        821605
        831499
        841512
        hintsUse SELECT * only if you need all columns from table
      • select * from `files` where `files`.`parentId` in ('3560', '3551', '3552', '3553', '3554', '3555', '3557', '3558', '3556', '3549', '3550', '3548', '2609', '2610', '2608', '2405', '2401', '2402', '2403', '2386', '2387', '2388', '2390', '2391', '2392', '2393', '2394', '2395', '2396', '2397', '2398', '2399', '2378', '2379', '2380', '2381', '2382', '2383', '2384', '2369', '2370', '2371', '2372', '2374', '2376', '2377', '2363', '2364', '2365', '2367', '2368', '2354', '2355', '2356', '2357', '2358', '2359', '2360', '2361', '2362', '2343', '2344', '2345', '2346', '2347', '2348', '2350', '2351', '2352', '2353', '2336', '2338', '2340', '2341', '2342', '2327', '2328', '2329', '2331', '2321', '2322', '2323', '2324', '2325', '2310', '2311', '2312', '2313', '2314', '2315', '2316', '2317', '2318', '2319', '2320', '2309', '2301', '2302', '2303', '2304', '2305', '2306', '2307', '2308', '2288', '2289', '2290', '2291', '2292', '2293', '2294', '2295', '2296', '2297', '2298', '2299', '2300', '2273', '2274', '2275', '2276', '2277', '2278', '2279', '2280', '2281', '2282', '2283', '2284', '2285', '2286', '2287', '2261', '2262', '2263', '2264', '2265', '2266', '2267', '2269', '2271', '2272', '2259', '2251', '2252', '2253', '2255', '2254', '2243', '2245', '2247', '2248', '2249', '2250', '2229', '2157', '2158', '2150', '2116', '2109', '2110', '2111', '2106', '2107', '2101', '2096', '2088', '2054', '2048', '1955', '1957')1.04msdovidka-testing
        Params
        03560
        13551
        23552
        33553
        43554
        53555
        63557
        73558
        83556
        93549
        103550
        113548
        122609
        132610
        142608
        152405
        162401
        172402
        182403
        192386
        202387
        212388
        222390
        232391
        242392
        252393
        262394
        272395
        282396
        292397
        302398
        312399
        322378
        332379
        342380
        352381
        362382
        372383
        382384
        392369
        402370
        412371
        422372
        432374
        442376
        452377
        462363
        472364
        482365
        492367
        502368
        512354
        522355
        532356
        542357
        552358
        562359
        572360
        582361
        592362
        602343
        612344
        622345
        632346
        642347
        652348
        662350
        672351
        682352
        692353
        702336
        712338
        722340
        732341
        742342
        752327
        762328
        772329
        782331
        792321
        802322
        812323
        822324
        832325
        842310
        852311
        862312
        872313
        882314
        892315
        902316
        912317
        922318
        932319
        942320
        952309
        962301
        972302
        982303
        992304
        1002305
        1012306
        1022307
        1032308
        1042288
        1052289
        1062290
        1072291
        1082292
        1092293
        1102294
        1112295
        1122296
        1132297
        1142298
        1152299
        1162300
        1172273
        1182274
        1192275
        1202276
        1212277
        1222278
        1232279
        1242280
        1252281
        1262282
        1272283
        1282284
        1292285
        1302286
        1312287
        1322261
        1332262
        1342263
        1352264
        1362265
        1372266
        1382267
        1392269
        1402271
        1412272
        1422259
        1432251
        1442252
        1452253
        1462255
        1472254
        1482243
        1492245
        1502247
        1512248
        1522249
        1532250
        1542229
        1552157
        1562158
        1572150
        1582116
        1592109
        1602110
        1612111
        1622106
        1632107
        1642101
        1652096
        1662088
        1672054
        1682048
        1691955
        1701957
        hintsUse SELECT * only if you need all columns from table
      • select count(*) as aggregate from `contents` inner join `category_items` on `contents`.`id` = `category_items`.`item_id` left join `fixing` on `fixing`.`item_id` = `contents`.`id` and `fixing`.`category_id` = "1494" where `status` = '1' and `category_items`.`category_id` = '1494' and `status` != '5' and `contents`.`section` = 'companies' and `contents`.`isCategory` = '0'2.17msdovidka-testing
        Params
        01
        11494
        25
        3companies
        40
        hintsThe != operator is not standard. Use the <> operator to test for inequality instead.
      • select * from `contents` inner join `category_items` on `contents`.`id` = `category_items`.`item_id` left join `fixing` on `fixing`.`item_id` = `contents`.`id` and `fixing`.`category_id` = "1494" where `status` = '1' and `category_items`.`category_id` = '1494' and `status` != '5' and `contents`.`section` = 'companies' and `contents`.`isCategory` = '0' order by -fixing.fix_position desc, `created_at` desc limit 10 offset 1504.81msdovidka-testing
        Params
        01
        11494
        25
        3companies
        40
        hintsUse SELECT * only if you need all columns from table
        The != operator is not standard. Use the <> operator to test for inequality instead.
      • select * from `text` where `text`.`article_id` in ('2247', '2248', '2249', '2250', '2229', '2157', '2158', '2150', '2116', '2109') and `lang` = 'ua'2.61msdovidka-testing
        Params
        02247
        12248
        22249
        32250
        42229
        52157
        62158
        72150
        82116
        92109
        10ua
        hintsUse SELECT * only if you need all columns from table
      • select `contents`.*, `category_items`.`item_id` as `pivot_item_id`, `category_items`.`category_id` as `pivot_category_id` from `contents` inner join `category_items` on `contents`.`id` = `category_items`.`category_id` where `category_items`.`item_id` in ('2247', '2248', '2249', '2250', '2229', '2157', '2158', '2150', '2116', '2109')1.47msdovidka-testing
        Params
        02247
        12248
        22249
        32250
        42229
        52157
        62158
        72150
        82116
        92109
        hintsUse SELECT * only if you need all columns from table
      • select * from `text` where `text`.`article_id` in ('1576', '1579', '1595', '1597', '1598', '1491', '1617', '1619', '1622', '1638', '1646', '1494', '1671', '1672', '1677', '1513', '1632', '1681', '1790', '1633', '1488', '1489', '1493')2.85msdovidka-testing
        Params
        01576
        11579
        21595
        31597
        41598
        51491
        61617
        71619
        81622
        91638
        101646
        111494
        121671
        131672
        141677
        151513
        161632
        171681
        181790
        191633
        201488
        211489
        221493
        hintsUse SELECT * only if you need all columns from table
      • select * from `files` where `files`.`parentId` in ('2247', '2248', '2249', '2250', '2229', '2157', '2158', '2150', '2116', '2109')490μsdovidka-testing
        Params
        02247
        12248
        22249
        32250
        42229
        52157
        62158
        72150
        82116
        92109
        hintsUse SELECT * only if you need all columns from table
      • select count(*) as aggregate from `contents` where `parent_id` = '1494'290μsdovidka-testing
        Params
        01494
      • select * from `contents` where `parent_id` = '1494' and `isCategory` = '1' order by `position` asc610μsdovidka-testing
        Params
        01494
        11
        hintsUse SELECT * only if you need all columns from table
      • select * from `text` where `text`.`article_id` in ('1651', '1652', '1653', '1654', '1655', '1656', '1657', '1658', '1659', '1660', '1661', '1662', '1663', '1664', '1665', '1666', '1667', '1668', '1669', '1670', '1671', '1672', '1673', '1674', '1675', '1676', '1677', '1678', '1679', '1680', '1681', '1682', '1683', '1684', '1685', '1686', '1687') and `lang` = 'ua'3.01msdovidka-testing
        Params
        01651
        11652
        21653
        31654
        41655
        51656
        61657
        71658
        81659
        91660
        101661
        111662
        121663
        131664
        141665
        151666
        161667
        171668
        181669
        191670
        201671
        211672
        221673
        231674
        241675
        251676
        261677
        271678
        281679
        291680
        301681
        311682
        321683
        331684
        341685
        351686
        361687
        37ua
        hintsUse SELECT * only if you need all columns from table
      • select * from `files` where `files`.`parentId` = '62' and `files`.`parentId` is not null650μsdovidka-testing
        Params
        062
        hintsUse SELECT * only if you need all columns from table
      • select * from `text` where `text`.`article_id` = '62' and `text`.`article_id` is not null limit 1360μsdovidka-testing
        Params
        062
        hintsUse SELECT * only if you need all columns from table
        LIMIT without ORDER BY causes non-deterministic results, depending on the query execution plan
        _token
        KllLxq8CX5e2W52hktWl1qCaQLwCEBXrsEUtvqWh
        PHPDEBUGBAR_STACK_DATA
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        content_type
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        array:34 [ "REDIRECT_STATUS" => "200" "HTTP_HOST" => "sport.dovidka.if.ua" "HTTP_CONNECTION" =...
        request_cookies
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        response_headers
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