Ljuča

General data
- Water type: River
- Progression: Lake Plav -> Lim -> Lake Visegradsko -> Drina -> Sava -> Danube -> Black sea -> Mediterranean Sea -> Atlantic Ocean -> Planet Earth
- Climates:
- Continents: Europe
- Countries: Montenegro
1 x Application (76.25%) | 88.39ms |
1 x Booting (23.74%) | 27.52ms |
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select * from `translations` where `lang` = 'en' and `translations`.`translatable_id` in (170) and `translations`.`translatable_type` = 'App\\Models\\Water'
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select * from `waters` where `waters`.`parent_id` in (170)
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select `countries`.*, `country_water`.`water_id` as `pivot_water_id`, `country_water`.`country_id` as `pivot_country_id` from `countries` inner join `country_water` on `countries`.`id` = `country_water`.`country_id` where `country_water`.`water_id` in (170)
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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 (152)
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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` in (170)
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with recursive `laravel_cte` as ((select `waters`.*, -1 as `depth`, cast(`id` as char(65535)) as `path` from `waters` where `waters`.`id` = 169) union all (select `waters`.*, `depth` - 1 as `depth`, concat(`path`, '.', `waters`.`id`) from `waters` inner join `laravel_cte` on `laravel_cte`.`parent_id` = `waters`.`id`)) select * from `laravel_cte`
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select `climates`.*, `climate_water`.`water_id` as `pivot_water_id`, `climate_water`.`climate_id` as `pivot_climate_id` from `climates` inner join `climate_water` on `climates`.`id` = `climate_water`.`climate_id` where `climate_water`.`water_id` = 170
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select `continents`.*, `continent_water`.`water_id` as `pivot_water_id`, `continent_water`.`continent_id` as `pivot_continent_id` from `continents` inner join `continent_water` on `continents`.`id` = `continent_water`.`continent_id` where `continent_water`.`water_id` = 170
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select count(*) as aggregate from `tags` where `tags`.`context_id` = 170 and `tags`.`context_id` is not null and `type` = 'water'
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select * from `tags` where `tags`.`context_id` = 170 and `tags`.`context_id` is not null and `type` = 'water' order by `created_at` desc limit 20
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select * from `fish` where `type` = 'species' and `fish`.`id` in (170)
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select * from `fish_names` where `locale` = 'en' and `main` = 1 and `fish_names`.`fish_id` in (170)
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select * from `waters` where `waters`.`id` in (170)
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select * from `techniques` where `techniques`.`id` in (170)
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select * from `waters` where `waters`.`id` in (170)
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select * from `translations` where `lang` = 'en' and `translations`.`translatable_id` in (170) and `translations`.`translatable_type` = 'App\\Models\\Water'
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