India

General data
- Continent: Asia
- Climates: Tropical, Subtropical, Temperate, Mountain
The more catches you post, the higher your chances of winning this amazing prize.
Every catch shared between May and November 2025 is automatically entered into the prize draw.
Only one rule: Make sure to tag both the fish species and the body of water!
1 x Application (91.91%) | 275ms |
1 x Booting (8.09%) | 24.25ms |
select * from `sessions` where `id` = 'MfLFiOuNGlBhLIU0f5OnOtKzmo3ZJBeNu7KNCdo2' limit 1
Bindings |
|
Backtrace |
|
select * from `countries` where `alias` = 'india' and `published` = 1 limit 1
Bindings |
|
Backtrace |
|
select * from `translations` where `lang` = 'en' and `translations`.`translatable_id` in (107) and `translations`.`translatable_type` = 'App\\Models\\Country'
Bindings |
|
Backtrace |
|
select `continents`.*, `continent_country`.`country_id` as `pivot_country_id`, `continent_country`.`continent_id` as `pivot_continent_id` from `continents` inner join `continent_country` on `continents`.`id` = `continent_country`.`continent_id` where `continent_country`.`country_id` in (107)
Backtrace |
|
select * from `translations` where `lang` = 'en' and `translations`.`translatable_id` in (3) and `translations`.`translatable_type` = 'App\\Models\\Continent'
Bindings |
|
Backtrace |
|
select `waters`.*, `country_water`.`country_id` as `pivot_country_id`, `country_water`.`water_id` as `pivot_water_id` from `waters` inner join `country_water` on `waters`.`id` = `country_water`.`water_id` where `country_water`.`country_id` = 107
Bindings |
|
Backtrace |
|
select * from `translations` where `lang` = 'en' and `translations`.`translatable_id` in (376, 469, 470, 471, 472, 533, 534, 535, 538, 539, 896, 910, 911, 1141, 1142, 1143, 1523, 1524, 1525, 1526, 3953, 3954) and `translations`.`translatable_type` = 'App\\Models\\Water'
Bindings |
|
Backtrace |
|
select `fish`.*, `water_fish`.`water_id` as `pivot_water_id`, `water_fish`.`fish_id` as `pivot_fish_id` from `fish` inner join `water_fish` on `fish`.`id` = `water_fish`.`fish_id` where `water_fish`.`water_id` = 376
Bindings |
|
Backtrace |
|
select * from `fish_names` where `locale` = 'en' and `main` = 1 and `fish_names`.`fish_id` in (243, 257, 275, 278, 291, 362, 367, 388, 422, 464, 468, 471, 473, 475, 480, 483, 486, 499, 509, 517, 590, 603, 604, 605, 607, 609, 647, 654, 666, 687, 710, 720, 801, 806, 808, 810, 815, 817, 837, 839, 914, 926, 929, 930, 934, 937, 995, 998, 999, 1000, 1012, 1015, 1017, 1027, 1029, 1035, 1036, 1043, 1049, 1056, 1057, 1058, 1075, 1090, 1093, 1098, 1101, 1102, 1112, 1114, 1116, 1117, 1118, 1119, 1120, 1125, 1126, 1137, 1139, 1141, 1149, 1153, 1156, 1158, 1164, 1165, 1166, 1257, 1259, 1293, 1306, 1308, 1310, 1322, 1327, 1329, 1333, 1339, 1341, 1343, 1368, 1376, 1378, 1379, 1382, 1391, 1395, 1402, 1464, 1465, 1466, 1512, 1515, 1526, 1552, 1569, 1570, 1571, 1574, 1576, 1577, 1578, 1579, 1587, 1589, 1592, 1593, 1594, 1595, 1596, 1597, 1601, 1614, 1616, 1617, 1620, 1656, 1657, 1662, 1695, 1697, 1698, 1711, 1712, 1713, 1722, 1723, 1724, 1726, 1729, 1731, 1738, 1740, 1743, 1748, 1751, 1757, 1759, 1762, 1769, 1772, 1775, 1777, 1778, 1781, 1783, 1786, 1788, 1790, 1791, 1792, 1793, 1796, 1841, 1853, 1858, 1870, 1873, 1898, 1910, 1939, 1947, 1954, 1956, 1958, 1970, 1971, 1972, 1973, 2010, 2019, 2021, 2022, 2024, 2041, 2046, 2047, 2048, 2051, 2052, 2053, 2054, 2056, 2081, 2103, 2105, 2141, 2155, 2169, 2171, 2172, 2185, 2189, 2191, 2192, 2222, 2225, 2227, 2232, 2233, 2234, 2235, 2239, 2242, 2245, 2251, 2253, 2254, 2256, 2261, 2266, 2277, 2279, 2283, 2286, 2287, 2289, 2290, 2291, 2293, 2339, 2372, 2380, 2407, 2408, 2417, 2440, 2441, 2442, 2443, 2445, 2447, 2448, 2451, 2457, 2458, 2461, 2504, 2539, 2541, 2546, 2558, 2559, 2560, 2561, 2562, 2563, 2564, 2565, 2566, 2570, 2572, 2573, 2574, 2577, 2578, 2579, 2580, 2584, 2589, 2591, 2592, 2596, 2599, 2600, 2601, 2603, 2614, 2633, 2634, 2636, 2637, 2638, 2639, 2640, 2641, 2642, 2648, 2652, 2658, 2659, 2662, 2663, 2664, 2665, 2667, 2669, 2670, 2671, 2675, 2676, 2678, 2679, 2680, 2682, 2684, 2685, 2690, 2701, 2731, 2739, 2740, 2741, 2751, 2752, 2754, 2777, 2807, 2808, 2811, 2827, 2854, 2857, 2861, 2870, 2873, 2877, 2885, 2891, 2894, 2897, 2904, 2912, 2913, 2914, 2915, 2918, 2921, 2922, 2924, 2925, 2928, 2929, 2942, 2944, 8147, 8499, 8959, 9601, 9724, 9793, 9827, 9940, 10060, 10750, 11335, 11401, 11551, 11760, 11816, 11917, 12045, 12081, 12278, 12741, 13227, 13332, 13650, 13985, 13989, 14090, 14133, 14159, 14175, 14284, 14502, 14831, 15075, 15153, 15802, 15947, 16076, 17090, 17093, 17483, 18055, 18060, 18274, 18276, 18321, 18322, 19110, 19145, 20028, 20219, 21287, 21329, 21803, 21859, 22019, 22370, 23119, 23411, 23753, 23906, 23999, 24068, 24650, 24991, 25024, 25299, 25963, 26062, 26095, 26821, 27866, 27900, 28050, 28151, 28782, 28915, 29087, 29850, 29853, 30256, 30737, 30774, 31148, 32105, 32234, 32345, 32408, 32567, 32780, 32792, 32816, 32961, 33033, 33421, 33530, 33551, 33760, 33821, 34019, 34455, 34597, 35016, 35851, 36805, 37609, 37861, 37912, 38429, 38435, 38559, 38679, 38907, 38996, 39674, 39675, 40163, 40205, 41102, 41113, 41278, 41279)
Bindings |
|
Backtrace |
|
select `fish`.*, `water_fish`.`water_id` as `pivot_water_id`, `water_fish`.`fish_id` as `pivot_fish_id` from `fish` inner join `water_fish` on `fish`.`id` = `water_fish`.`fish_id` where `water_fish`.`water_id` = 469
Bindings |
|
Backtrace |
|
select * from `fish_names` where `locale` = 'en' and `main` = 1 and `fish_names`.`fish_id` in (752, 827, 850, 1558, 1720, 1796, 1836, 1923, 1949, 2043)
Bindings |
|
Backtrace |
|
select `fish`.*, `water_fish`.`water_id` as `pivot_water_id`, `water_fish`.`fish_id` as `pivot_fish_id` from `fish` inner join `water_fish` on `fish`.`id` = `water_fish`.`fish_id` where `water_fish`.`water_id` = 470
Bindings |
|
Backtrace |
|
select * from `fish_names` where `locale` = 'en' and `main` = 1 and `fish_names`.`fish_id` in (752, 850)
Bindings |
|
Backtrace |
|
select `fish`.*, `water_fish`.`water_id` as `pivot_water_id`, `water_fish`.`fish_id` as `pivot_fish_id` from `fish` inner join `water_fish` on `fish`.`id` = `water_fish`.`fish_id` where `water_fish`.`water_id` = 471
Bindings |
|
Backtrace |
|
select * from `fish_names` where `locale` = 'en' and `main` = 1 and `fish_names`.`fish_id` in (2339, 2640, 2942, 2944, 28915, 38907)
Bindings |
|
Backtrace |
|
select `fish`.*, `water_fish`.`water_id` as `pivot_water_id`, `water_fish`.`fish_id` as `pivot_fish_id` from `fish` inner join `water_fish` on `fish`.`id` = `water_fish`.`fish_id` where `water_fish`.`water_id` = 472
Bindings |
|
Backtrace |
|
select * from `fish_names` where `locale` = 'en' and `main` = 1 and `fish_names`.`fish_id` in (752, 827, 1558, 1712, 1796, 1836, 1949, 2449)
Bindings |
|
Backtrace |
|
select `fish`.*, `water_fish`.`water_id` as `pivot_water_id`, `water_fish`.`fish_id` as `pivot_fish_id` from `fish` inner join `water_fish` on `fish`.`id` = `water_fish`.`fish_id` where `water_fish`.`water_id` = 533
Bindings |
|
Backtrace |
|
select `fish`.*, `water_fish`.`water_id` as `pivot_water_id`, `water_fish`.`fish_id` as `pivot_fish_id` from `fish` inner join `water_fish` on `fish`.`id` = `water_fish`.`fish_id` where `water_fish`.`water_id` = 534
Bindings |
|
Backtrace |
|
select * from `fish_names` where `locale` = 'en' and `main` = 1 and `fish_names`.`fish_id` in (2235, 28915)
Bindings |
|
Backtrace |
|
select `fish`.*, `water_fish`.`water_id` as `pivot_water_id`, `water_fish`.`fish_id` as `pivot_fish_id` from `fish` inner join `water_fish` on `fish`.`id` = `water_fish`.`fish_id` where `water_fish`.`water_id` = 535
Bindings |
|
Backtrace |
|
select * from `fish_names` where `locale` = 'en' and `main` = 1 and `fish_names`.`fish_id` in (1712, 1720, 1796, 1949, 2114)
Bindings |
|
Backtrace |
|
select `fish`.*, `water_fish`.`water_id` as `pivot_water_id`, `water_fish`.`fish_id` as `pivot_fish_id` from `fish` inner join `water_fish` on `fish`.`id` = `water_fish`.`fish_id` where `water_fish`.`water_id` = 538
Bindings |
|
Backtrace |
|
select * from `fish_names` where `locale` = 'en' and `main` = 1 and `fish_names`.`fish_id` in (827, 1712, 1720, 1796, 1923, 1949, 2043, 2114)
Bindings |
|
Backtrace |
|
select `fish`.*, `water_fish`.`water_id` as `pivot_water_id`, `water_fish`.`fish_id` as `pivot_fish_id` from `fish` inner join `water_fish` on `fish`.`id` = `water_fish`.`fish_id` where `water_fish`.`water_id` = 539
Bindings |
|
Backtrace |
|
select * from `fish_names` where `locale` = 'en' and `main` = 1 and `fish_names`.`fish_id` in (827, 1712, 1720, 1949, 2043, 2114)
Bindings |
|
Backtrace |
|
select `fish`.*, `water_fish`.`water_id` as `pivot_water_id`, `water_fish`.`fish_id` as `pivot_fish_id` from `fish` inner join `water_fish` on `fish`.`id` = `water_fish`.`fish_id` where `water_fish`.`water_id` = 896
Bindings |
|
Backtrace |
|
select `fish`.*, `water_fish`.`water_id` as `pivot_water_id`, `water_fish`.`fish_id` as `pivot_fish_id` from `fish` inner join `water_fish` on `fish`.`id` = `water_fish`.`fish_id` where `water_fish`.`water_id` = 910
Bindings |
|
Backtrace |
|
select * from `fish_names` where `locale` = 'en' and `main` = 1 and `fish_names`.`fish_id` in (1949, 2114)
Bindings |
|
Backtrace |
|
select `fish`.*, `water_fish`.`water_id` as `pivot_water_id`, `water_fish`.`fish_id` as `pivot_fish_id` from `fish` inner join `water_fish` on `fish`.`id` = `water_fish`.`fish_id` where `water_fish`.`water_id` = 911
Bindings |
|
Backtrace |
|
select * from `fish_names` where `locale` = 'en' and `main` = 1 and `fish_names`.`fish_id` in (2114)
Bindings |
|
Backtrace |
|
select `fish`.*, `water_fish`.`water_id` as `pivot_water_id`, `water_fish`.`fish_id` as `pivot_fish_id` from `fish` inner join `water_fish` on `fish`.`id` = `water_fish`.`fish_id` where `water_fish`.`water_id` = 1141
Bindings |
|
Backtrace |
|
select * from `fish_names` where `locale` = 'en' and `main` = 1 and `fish_names`.`fish_id` in (1949, 2114)
Bindings |
|
Backtrace |
|
select `fish`.*, `water_fish`.`water_id` as `pivot_water_id`, `water_fish`.`fish_id` as `pivot_fish_id` from `fish` inner join `water_fish` on `fish`.`id` = `water_fish`.`fish_id` where `water_fish`.`water_id` = 1142
Bindings |
|
Backtrace |
|
select `fish`.*, `water_fish`.`water_id` as `pivot_water_id`, `water_fish`.`fish_id` as `pivot_fish_id` from `fish` inner join `water_fish` on `fish`.`id` = `water_fish`.`fish_id` where `water_fish`.`water_id` = 1143
Bindings |
|
Backtrace |
|
select `fish`.*, `water_fish`.`water_id` as `pivot_water_id`, `water_fish`.`fish_id` as `pivot_fish_id` from `fish` inner join `water_fish` on `fish`.`id` = `water_fish`.`fish_id` where `water_fish`.`water_id` = 1523
Bindings |
|
Backtrace |
|
select `fish`.*, `water_fish`.`water_id` as `pivot_water_id`, `water_fish`.`fish_id` as `pivot_fish_id` from `fish` inner join `water_fish` on `fish`.`id` = `water_fish`.`fish_id` where `water_fish`.`water_id` = 1524
Bindings |
|
Backtrace |
|
select * from `fish_names` where `locale` = 'en' and `main` = 1 and `fish_names`.`fish_id` in (2758)
Bindings |
|
Backtrace |
|
select `fish`.*, `water_fish`.`water_id` as `pivot_water_id`, `water_fish`.`fish_id` as `pivot_fish_id` from `fish` inner join `water_fish` on `fish`.`id` = `water_fish`.`fish_id` where `water_fish`.`water_id` = 1525
Bindings |
|
Backtrace |
|
select * from `fish_names` where `locale` = 'en' and `main` = 1 and `fish_names`.`fish_id` in (2758)
Bindings |
|
Backtrace |
|
select `fish`.*, `water_fish`.`water_id` as `pivot_water_id`, `water_fish`.`fish_id` as `pivot_fish_id` from `fish` inner join `water_fish` on `fish`.`id` = `water_fish`.`fish_id` where `water_fish`.`water_id` = 1526
Bindings |
|
Backtrace |
|
select * from `fish_names` where `locale` = 'en' and `main` = 1 and `fish_names`.`fish_id` in (2758)
Bindings |
|
Backtrace |
|
select `fish`.*, `water_fish`.`water_id` as `pivot_water_id`, `water_fish`.`fish_id` as `pivot_fish_id` from `fish` inner join `water_fish` on `fish`.`id` = `water_fish`.`fish_id` where `water_fish`.`water_id` = 3953
Bindings |
|
Backtrace |
|
select `fish`.*, `water_fish`.`water_id` as `pivot_water_id`, `water_fish`.`fish_id` as `pivot_fish_id` from `fish` inner join `water_fish` on `fish`.`id` = `water_fish`.`fish_id` where `water_fish`.`water_id` = 3954
Bindings |
|
Backtrace |
|
select * from `companies` where `companies`.`country_id` in (107)
Backtrace |
|
select `climates`.*, `climate_country`.`country_id` as `pivot_country_id`, `climate_country`.`climate_id` as `pivot_climate_id` from `climates` inner join `climate_country` on `climates`.`id` = `climate_country`.`climate_id` where `climate_country`.`country_id` = 107
Bindings |
|
Backtrace |
|
select * from `translations` where `translations`.`translatable_type` = 'App\\Models\\Climate' and `translations`.`translatable_id` = 1 and `translations`.`translatable_id` is not null and `lang` = 'en' limit 1
Bindings |
|
Backtrace |
|
select * from `translations` where `translations`.`translatable_type` = 'App\\Models\\Climate' and `translations`.`translatable_id` = 2 and `translations`.`translatable_id` is not null and `lang` = 'en' limit 1
Bindings |
|
Backtrace |
|
select * from `translations` where `translations`.`translatable_type` = 'App\\Models\\Climate' and `translations`.`translatable_id` = 3 and `translations`.`translatable_id` is not null and `lang` = 'en' limit 1
Bindings |
|
Backtrace |
|
select * from `translations` where `translations`.`translatable_type` = 'App\\Models\\Climate' and `translations`.`translatable_id` = 8 and `translations`.`translatable_id` is not null and `lang` = 'en' limit 1
Bindings |
|
Backtrace |
|
select count(*) as aggregate from `tags` where `tags`.`context_id` = 107 and `tags`.`context_id` is not null and `type` = 'country'
Bindings |
|
Backtrace |
|
with recursive `laravel_cte` as ((select `fish`.*, -1 as `depth`, cast(`id` as char(65535)) as `path` from `fish` where `fish`.`id` in (193, 219, 235, 236, 256, 259, 274, 277, 289, 307, 322, 333, 361, 364, 366, 383, 387, 415, 421, 463, 467, 470, 472, 474, 479, 482, 485, 498, 507, 516, 588, 602, 606, 608, 624, 645, 653, 662, 690, 699, 709, 719, 751, 802, 804, 807, 809, 811, 813, 826, 836, 838, 846, 928, 933, 935, 943, 950, 963, 965, 994, 997, 1004, 1011, 1014, 1016, 1026, 1028, 1034, 1042, 1048, 1051, 1074, 1089, 1092, 1097, 1100, 1115, 1136, 1140, 1152, 1155, 1157, 1163, 1258, 1261, 1275, 1301, 1320, 1328, 1332, 1340, 1342, 1375, 1377, 1381, 1394, 1401, 1511, 1517, 1525, 1557, 1575, 1591, 1610, 1655, 1658, 1660, 1685, 1696, 1701, 1728, 1730, 1737, 1739, 1742, 1750, 1756, 1758, 1767, 1771, 1774, 1776, 1780, 1782, 1785, 1787, 1789, 1795, 1839, 1852, 1857, 1869, 1872, 1897, 1909, 1922, 1936, 1950, 1955, 1957, 1969, 2023, 2040, 2042, 2045, 2055, 2102, 2104, 2128, 2140, 2188, 2190, 2221, 2231, 2236, 2238, 2241, 2244, 2252, 2255, 2260, 2281, 2282, 2285, 2288, 2405, 2416, 2446, 2450, 2460, 2503, 2540, 2545, 2583, 2587, 2590, 2595, 2613, 2635, 2653, 2657, 2666, 2674, 2681, 2689, 2700, 2730, 2750, 2753, 2776, 2810, 2826, 2853, 2872, 2876, 2884, 2890, 2893, 2895, 2901, 2916, 2919, 2923, 2926, 2943, 3418, 3422, 3454, 3483, 3644, 3729, 3747, 4026, 4152, 4171, 4200, 4209, 4672, 4736, 4766, 4828, 4841, 4916, 4928, 5429, 5909, 5913, 5968, 6032, 6151, 6185, 6218, 6398, 6471, 6493, 6695, 6748, 6759, 6764, 6850, 6857, 6918, 6948, 7201, 7234, 7263, 7301, 7460, 7539, 7604, 7610, 7726)) union all (select `fish`.*, `depth` - 1 as `depth`, concat(`path`, '.', `fish`.`id`) from `fish` inner join `laravel_cte` on `laravel_cte`.`parent_id` = `fish`.`id`)) select * from `laravel_cte`
Bindings |
|
Backtrace |
|
select * from `fish_names` where `locale` = 'en' and `main` = 1 and `fish_names`.`fish_id` in (1, 25, 26, 34, 66, 68, 70, 71, 72, 120, 191, 192, 193, 202, 218, 219, 233, 234, 235, 236, 255, 256, 258, 259, 272, 273, 274, 276, 277, 281, 289, 298, 301, 302, 305, 306, 307, 311, 312, 322, 324, 330, 333, 348, 349, 360, 361, 364, 366, 369, 381, 382, 383, 386, 387, 413, 414, 415, 421, 461, 462, 463, 465, 466, 467, 469, 470, 472, 474, 478, 479, 481, 482, 484, 485, 487, 494, 497, 498, 502, 503, 505, 506, 507, 514, 515, 516, 537, 586, 587, 588, 602, 606, 608, 622, 623, 624, 644, 645, 651, 652, 653, 660, 661, 662, 676, 688, 689, 690, 692, 697, 698, 699, 705, 707, 708, 709, 711, 717, 718, 719, 751, 802, 803, 804, 807, 809, 811, 813, 826, 832, 833, 836, 838, 846, 892, 893, 894, 897, 904, 906, 908, 909, 910, 927, 928, 933, 935, 942, 943, 949, 950, 961, 962, 963, 965, 967, 994, 997, 1004, 1009, 1010, 1011, 1013, 1014, 1016, 1019, 1020, 1026, 1028, 1034, 1041, 1042, 1044, 1048, 1051, 1073, 1074, 1089, 1091, 1092, 1095, 1096, 1097, 1099, 1100, 1108, 1115, 1135, 1136, 1140, 1150, 1151, 1152, 1154, 1155, 1157, 1163, 1240, 1246, 1258, 1260, 1261, 1275, 1300, 1301, 1320, 1328, 1331, 1332, 1340, 1342, 1346, 1374, 1375, 1377, 1381, 1394, 1401, 1510, 1511, 1516, 1517, 1525, 1556, 1557, 1575, 1591, 1609, 1610, 1651, 1655, 1658, 1660, 1664, 1685, 1696, 1701, 1717, 1728, 1730, 1736, 1737, 1739, 1741, 1742, 1749, 1750, 1756, 1758, 1767, 1770, 1771, 1773, 1774, 1776, 1779, 1780, 1782, 1784, 1785, 1787, 1789, 1795, 1799, 1839, 1850, 1851, 1852, 1855, 1856, 1857, 1867, 1868, 1869, 1871, 1872, 1895, 1896, 1897, 1905, 1906, 1909, 1911, 1912, 1920, 1921, 1922, 1931, 1935, 1936, 1950, 1955, 1957, 1968, 1969, 2014, 2023, 2040, 2042, 2044, 2045, 2055, 2102, 2104, 2127, 2128, 2139, 2140, 2188, 2190, 2221, 2228, 2231, 2236, 2238, 2240, 2241, 2243, 2244, 2252, 2255, 2257, 2260, 2280, 2281, 2282, 2285, 2288, 2359, 2405, 2416, 2446, 2450, 2459, 2460, 2503, 2540, 2544, 2545, 2583, 2587, 2590, 2595, 2604, 2613, 2635, 2653, 2657, 2666, 2673, 2674, 2681, 2689, 2699, 2700, 2729, 2730, 2749, 2750, 2753, 2776, 2810, 2826, 2852, 2853, 2871, 2872, 2876, 2884, 2890, 2893, 2895, 2901, 2916, 2919, 2923, 2926, 2943, 3042, 3084, 3125, 3149, 3154, 3174, 3182, 3184, 3233, 3290, 3316, 3418, 3422, 3454, 3483, 3644, 3729, 3747, 4026, 4152, 4171, 4200, 4209, 4672, 4736, 4766, 4828, 4841, 4916, 4928, 5429, 5909, 5913, 5968, 6032, 6151, 6185, 6218, 6398, 6471, 6493, 6695, 6748, 6759, 6764, 6850, 6857, 6918, 6948, 7201, 7234, 7263, 7301, 7460, 7539, 7604, 7610, 7726)
Bindings |
|
Backtrace |
|
select * from `tags` where `tags`.`context_id` = 107 and `tags`.`context_id` is not null and `type` = 'country' order by `created_at` desc limit 100
Bindings |
|
Backtrace |
|
select * from `fish` where `type` = 'species' and `fish`.`id` in (107)
Bindings |
|
Backtrace |
|
select * from `waters` where `waters`.`id` in (107)
Bindings |
|
Backtrace |
|
select * from `translations` where `lang` = 'en' and `translations`.`translatable_id` in (107) and `translations`.`translatable_type` = 'App\\Models\\Water'
Bindings |
|
Backtrace |
|
select * from `techniques` where `techniques`.`id` in (107)
Bindings |
|
Backtrace |
|
select * from `waters` where `waters`.`id` in (107)
Bindings |
|
Backtrace |
|
select * from `translations` where `lang` = 'en' and `translations`.`translatable_id` in (107) and `translations`.`translatable_type` = 'App\\Models\\Water'
Bindings |
|
Backtrace |
|
select * from `posts` where `posts`.`id` = 7036 limit 1
Bindings |
|
Backtrace |
|
select * from `attachments` where `attachments`.`post_id` in (7036)
Backtrace |
|
select * from `attachments` where `attachments`.`post_id` = 7036 and `attachments`.`post_id` is not null limit 1
Bindings |
|
Backtrace |
|
select * from `posts` where `posts`.`id` = 7034 limit 1
Bindings |
|
Backtrace |
|
select * from `attachments` where `attachments`.`post_id` in (7034)
Backtrace |
|
select * from `attachments` where `attachments`.`post_id` = 7034 and `attachments`.`post_id` is not null limit 1
Bindings |
|
Backtrace |
|
select * from `posts` where `posts`.`id` = 4324 limit 1
Bindings |
|
Backtrace |
|
select * from `attachments` where `attachments`.`post_id` in (4324)
Backtrace |
|
select * from `attachments` where `attachments`.`post_id` = 4324 and `attachments`.`post_id` is not null limit 1
Bindings |
|
Backtrace |
|
select * from `brands` where `brands`.`country_id` = 107 and `brands`.`country_id` is not null
Bindings |
|
Backtrace |
|
select * from `sessions` where `id` = 'MfLFiOuNGlBhLIU0f5OnOtKzmo3ZJBeNu7KNCdo2' limit 1
Bindings |
|
Backtrace |
|
insert into `sessions` (`payload`, `last_activity`, `user_id`, `ip_address`, `user_agent`, `id`) values ('YTozOntzOjY6Il90b2tlbiI7czo0MDoibkUxYWxMWndvS045WmJ3YmlWdjV5S1d3dnlPbEdLWXFUd0tyRnZPWCI7czo5OiJfcHJldmlvdXMiO2E6MTp7czozOiJ1cmwiO3M6NDE6Imh0dHBzOi8vZGV2LnRhZ215ZmlzaC5jb20vY291bnRyaWVzL2luZGlhIjt9czo2OiJfZmxhc2giO2E6Mjp7czozOiJvbGQiO2E6MDp7fXM6MzoibmV3IjthOjA6e319fQ==', 1747309962, null, '172.18.0.5', 'Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)', 'MfLFiOuNGlBhLIU0f5OnOtKzmo3ZJBeNu7KNCdo2')
Bindings |
|
Backtrace |
|
200
[]
[]
0 of 0array:35 [▼ "x-real-ip" => array:1 [▶ 0 => "172.69.17.74" ] "x-forwarded-server" => array:1 [▶ 0 => "traefik" ] "x-forwarded-proto" => array:1 [▶ 0 => "https" ] "x-forwarded-port" => array:1 [▶ 0 => "443" ] "x-forwarded-host" => array:1 [▶ 0 => "dev.tagmyfish.com" ] "x-forwarded-for" => array:1 [▶ 0 => "172.69.17.74" ] "upgrade-insecure-requests" => array:1 [▶ 0 => "1" ] "sec-fetch-user" => array:1 [▶ 0 => "?1" ] "sec-fetch-site" => array:1 [▶ 0 => "none" ] "sec-fetch-mode" => array:1 [▶ 0 => "navigate" ] "sec-fetch-dest" => array:1 [▶ 0 => "document" ] "sec-ch-ua-platform" => array:1 [▶ 0 => ""Windows"" ] "sec-ch-ua-mobile" => array:1 [▶ 0 => "?0" ] "sec-ch-ua" => array:1 [▶ 0 => ""Chromium";v="130", "HeadlessChrome";v="130", "Not?A_Brand";v="99"" ] "priority" => array:1 [▶ 0 => "u=0, i" ] "pragma" => array:1 [▶ 0 => "no-cache" ] "cf-visitor" => array:1 [▶ 0 => "{"scheme":"https"}" ] "cf-timezone" => array:1 [▶ 0 => "America/New_York" ] "cf-region-code" => array:1 [▶ 0 => "OH" ] "cf-region" => array:1 [▶ 0 => "Ohio" ] "cf-ray" => array:1 [▶ 0 => "94026e427bd21aeb-ORD" ] "cf-postal-code" => array:1 [▶ 0 => "43215" ] "cf-metro-code" => array:1 [▶ 0 => "535" ] "cf-iplongitude" => array:1 [▶ 0 => "-83.00610" ] "cf-iplatitude" => array:1 [▶ 0 => "39.96250" ] "cf-ipcountry" => array:1 [▶ 0 => "US" ] "cf-ipcontinent" => array:1 [▶ 0 => "NA" ] "cf-ipcity" => array:1 [▶ 0 => "Columbus" ] "cf-connecting-ip" => array:1 [▶ 0 => "3.14.79.153" ] "cdn-loop" => array:1 [▶ 0 => "cloudflare; loops=1" ] "cache-control" => array:1 [▶ 0 => "no-cache" ] "accept-encoding" => array:1 [▶ 0 => "gzip, br" ] "accept" => array:1 [▶ 0 => "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7" ] "user-agent" => array:1 [▶ 0 => "Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)" ] "host" => array:1 [▶ 0 => "dev.tagmyfish.com" ] ]
[]
0 of 0array:5 [▼ "content-type" => array:1 [▶ 0 => "text/html; charset=UTF-8" ] "cache-control" => array:1 [▶ 0 => "no-cache, private" ] "date" => array:1 [▶ 0 => "Thu, 15 May 2025 11:52:42 GMT" ] "set-cookie" => array:2 [▶ 0 => "XSRF-TOKEN=eyJpdiI6IlZBZGVNNXJaQ3FPc0ZUZzhzeStHRXc9PSIsInZhbHVlIjoiL3B4R0l4MnVFc3R0V2krMHFuaXpHQm5xQlhSUldVU0FJbEJnVExOSU1tK1JLekhudHhFNUk5MEJvT0Ruam9ja0xvMmJ5SlZNVkl4bHU5U3d0eVpnekNzOTEySEhMb3dHeGlsMVAzcTlNak5Yd0F5eVkySzBWeXB5NC9KdjNYODUiLCJtYWMiOiJlZjRkMmY5MWNiNTcyMzRlOGU5NzUxMTEyNmI4MWFiZWU3NzYwN2Y1OGM0ZWI1MjZhNmEyZTZmYzdjMDY0MmM0IiwidGFnIjoiIn0%3D; expires=Thu, 15 May 2025 13:52:42 GMT; Max-Age=7200; path=/; secure; samesite=lax ◀XSRF-TOKEN=eyJpdiI6IlZBZGVNNXJaQ3FPc0ZUZzhzeStHRXc9PSIsInZhbHVlIjoiL3B4R0l4MnVFc3R0V2krMHFuaXpHQm5xQlhSUldVU0FJbEJnVExOSU1tK1JLekhudHhFNUk5MEJvT0Ruam9ja0xvMmJ5S ▶" 1 => "tagmyfish_session=eyJpdiI6InBEVGlmejltUlRrakFKZ2JKa254dnc9PSIsInZhbHVlIjoiVmNjNHpzY3lTOGtoSys2L0UyYWFja1BKblQ4UHE2MitkWlZMc0gwa3pxN04wSFdTaXFiRHRyTG1tTkZ2RWo1cXVMV00yTjhyMHhFNkZycnVMUFI3VHc2MWVjSlVDSDllUFA4ZDRCSGl3L0wxQ0R5MFYyNTNza3JzVHpZM0dLbDQiLCJtYWMiOiIyMGViMWU0YjBjNzNhMWMyMTE0MDNmNmExMDNhN2FhZmJjOWQyYjc4ZDRkMzI5NWMyZmEzZDA0MTUzM2VkYmRiIiwidGFnIjoiIn0%3D; expires=Thu, 15 May 2025 13:52:42 GMT; Max-Age=7200; path=/; secure; httponly; samesite=lax ◀tagmyfish_session=eyJpdiI6InBEVGlmejltUlRrakFKZ2JKa254dnc9PSIsInZhbHVlIjoiVmNjNHpzY3lTOGtoSys2L0UyYWFja1BKblQ4UHE2MitkWlZMc0gwa3pxN04wSFdTaXFiRHRyTG1tTkZ2RWo1cX ▶" ] "Set-Cookie" => array:2 [▶ 0 => "XSRF-TOKEN=eyJpdiI6IlZBZGVNNXJaQ3FPc0ZUZzhzeStHRXc9PSIsInZhbHVlIjoiL3B4R0l4MnVFc3R0V2krMHFuaXpHQm5xQlhSUldVU0FJbEJnVExOSU1tK1JLekhudHhFNUk5MEJvT0Ruam9ja0xvMmJ5SlZNVkl4bHU5U3d0eVpnekNzOTEySEhMb3dHeGlsMVAzcTlNak5Yd0F5eVkySzBWeXB5NC9KdjNYODUiLCJtYWMiOiJlZjRkMmY5MWNiNTcyMzRlOGU5NzUxMTEyNmI4MWFiZWU3NzYwN2Y1OGM0ZWI1MjZhNmEyZTZmYzdjMDY0MmM0IiwidGFnIjoiIn0%3D; expires=Thu, 15-May-2025 13:52:42 GMT; path=/; secure ◀XSRF-TOKEN=eyJpdiI6IlZBZGVNNXJaQ3FPc0ZUZzhzeStHRXc9PSIsInZhbHVlIjoiL3B4R0l4MnVFc3R0V2krMHFuaXpHQm5xQlhSUldVU0FJbEJnVExOSU1tK1JLekhudHhFNUk5MEJvT0Ruam9ja0xvMmJ5S ▶" 1 => "tagmyfish_session=eyJpdiI6InBEVGlmejltUlRrakFKZ2JKa254dnc9PSIsInZhbHVlIjoiVmNjNHpzY3lTOGtoSys2L0UyYWFja1BKblQ4UHE2MitkWlZMc0gwa3pxN04wSFdTaXFiRHRyTG1tTkZ2RWo1cXVMV00yTjhyMHhFNkZycnVMUFI3VHc2MWVjSlVDSDllUFA4ZDRCSGl3L0wxQ0R5MFYyNTNza3JzVHpZM0dLbDQiLCJtYWMiOiIyMGViMWU0YjBjNzNhMWMyMTE0MDNmNmExMDNhN2FhZmJjOWQyYjc4ZDRkMzI5NWMyZmEzZDA0MTUzM2VkYmRiIiwidGFnIjoiIn0%3D; expires=Thu, 15-May-2025 13:52:42 GMT; path=/; secure; httponly ◀tagmyfish_session=eyJpdiI6InBEVGlmejltUlRrakFKZ2JKa254dnc9PSIsInZhbHVlIjoiVmNjNHpzY3lTOGtoSys2L0UyYWFja1BKblQ4UHE2MitkWlZMc0gwa3pxN04wSFdTaXFiRHRyTG1tTkZ2RWo1cX ▶" ] ]
0 of 0array:3 [▼ "_token" => "nE1alLZwoKN9ZbwbiVv5yKWwvyOlGKYqTwKrFvOX" "_previous" => array:1 [▶ "url" => "https://dev.tagmyfish.com/countries/india" ] "_flash" => array:2 [▶ "old" => [] "new" => [] ] ]