Symfony Profiler

SELECT
  p0_.id AS id_0,
  p0_.uri AS uri_1,
  p0_.top_html AS top_html_2,
  p0_.bottom_html AS bottom_html_3,
  p0_.meta_title AS meta_title_4,
  p0_.meta_description AS meta_description_5,
  p0_.meta_keywords AS meta_keywords_6,
  p0_.page_heading AS page_heading_7,
  p0_.city_id AS city_id_8
FROM
  page_seo_texts p0_
WHERE
  p0_.uri = ?
LIMIT
  1

SELECT p0_.id AS id_0, p0_.uri AS uri_1, p0_.top_html AS top_html_2, p0_.bottom_html AS bottom_html_3, p0_.meta_title AS meta_title_4, p0_.meta_description AS meta_description_5, p0_.meta_keywords AS meta_keywords_6, p0_.page_heading AS page_heading_7, p0_.city_id AS city_id_8 FROM page_seo_texts p0_ WHERE p0_.uri = '/moscow/station-vyhino/' LIMIT 1;

SELECT
  c0_.id AS id_0,
  c0_.name AS name_1,
  c0_.uri_identity AS uri_identity_2,
  c0_.country_code AS country_code_3,
  c0_.city_group AS city_group_4,
  c0_.timezone AS timezone_5,
  c0_.map_latitude AS map_latitude_6,
  c0_.map_longitude AS map_longitude_7
FROM
  cities c0_
WHERE
  c0_.uri_identity = ?
LIMIT
  1

SELECT c0_.id AS id_0, c0_.name AS name_1, c0_.uri_identity AS uri_identity_2, c0_.country_code AS country_code_3, c0_.city_group AS city_group_4, c0_.timezone AS timezone_5, c0_.map_latitude AS map_latitude_6, c0_.map_longitude AS map_longitude_7 FROM cities c0_ WHERE c0_.uri_identity = 'moscow' LIMIT 1;

SELECT
  c0_.id AS id_0,
  c0_.name AS name_1,
  c0_.uri_identity AS uri_identity_2,
  c0_.city_id AS city_id_3,
  c0_.county_id AS county_id_4,
  c0_.district_id AS district_id_5
FROM
  city_stations c0_
WHERE
  c0_.city_id = ?
  AND c0_.uri_identity = ?
LIMIT
  1

SELECT c0_.id AS id_0, c0_.name AS name_1, c0_.uri_identity AS uri_identity_2, c0_.city_id AS city_id_3, c0_.county_id AS county_id_4, c0_.district_id AS district_id_5 FROM city_stations c0_ WHERE c0_.city_id = 1 AND c0_.uri_identity = 'vyhino' LIMIT 1;

SELECT
  t0.id AS id_1,
  t0.name AS name_2,
  t0.uri_identity AS uri_identity_3,
  t0.city_id AS city_id_4,
  t0.county_id AS county_id_5,
  t0.district_id AS district_id_6
FROM
  city_stations t0
WHERE
  t0.city_id = ?
ORDER BY
  t0.name ASC

SELECT t0.id AS id_1, t0.name AS name_2, t0.uri_identity AS uri_identity_3, t0.city_id AS city_id_4, t0.county_id AS county_id_5, t0.district_id AS district_id_6 FROM city_stations t0 WHERE t0.city_id = 1 ORDER BY t0.name ASC;

SELECT
  p0_.id AS id_0,
  p0_.placed_at AS placed_at_1,
  p0_.expires_at AS expires_at_2,
  p1_.id AS id_3,
  p1_.is_dummy AS is_dummy_4,
  p1_.uri_identity AS uri_identity_5,
  p1_.name AS name_6,
  p1_.description AS description_7,
  p1_.client_types AS client_types_8,
  p1_.phone_number AS phone_number_9,
  p1_.is_masseur AS is_masseur_10,
  p1_.extra_charge AS extra_charge_11,
  p1_.prepayment AS prepayment_12,
  p1_.prepayment_amount AS prepayment_amount_13,
  p1_.prepayment_comment AS prepayment_comment_14,
  p1_.is_approved AS is_approved_15,
  p1_.moderation_status AS moderation_status_16,
  p1_.created_at AS created_at_17,
  p1_.updated_at AS updated_at_18,
  p1_.inactivated_at AS inactivated_at_19,
  p1_.seo AS seo_20,
  p1_.delete_mode AS delete_mode_21,
  p1_.deleted_at AS deleted_at_22,
  p1_.person_gender AS person_gender_23,
  p1_.person_age AS person_age_24,
  p1_.person_height AS person_height_25,
  p1_.person_weight AS person_weight_26,
  p1_.person_breast_size AS person_breast_size_27,
  p1_.person_breast_type AS person_breast_type_28,
  p1_.person_cloth_size AS person_cloth_size_29,
  p1_.person_shoes_size AS person_shoes_size_30,
  p1_.person_body_type AS person_body_type_31,
  p1_.person_hair_color AS person_hair_color_32,
  p1_.person_private_haircut AS person_private_haircut_33,
  p1_.person_nationality AS person_nationality_34,
  p1_.person_has_tattoo AS person_has_tattoo_35,
  p1_.person_has_piercing AS person_has_piercing_36,
  p1_.messengers_telegram AS messengers_telegram_37,
  p1_.messengers_whatsapp AS messengers_whatsapp_38,
  p1_.messengers_telegram_username AS messengers_telegram_username_39,
  p1_.call_time_from AS call_time_from_40,
  p1_.call_time_to AS call_time_to_41,
  p1_.call_answering_to AS call_answering_to_42,
  p1_.client_min_age AS client_min_age_43,
  p1_.client_max_age AS client_max_age_44,
  p1_.apartments_one_hour_price AS apartments_one_hour_price_45,
  p1_.apartments_two_hours_price AS apartments_two_hours_price_46,
  p1_.apartments_night_price AS apartments_night_price_47,
  p1_.take_out_one_hour_price AS take_out_one_hour_price_48,
  p1_.take_out_two_hours_price AS take_out_two_hours_price_49,
  p1_.take_out_night_price AS take_out_night_price_50,
  p1_.take_out_locations AS take_out_locations_51,
  p1_.express_provided AS express_provided_52,
  p1_.express_price AS express_price_53,
  p1_.car_provided AS car_provided_54,
  p1_.map_latitude AS map_latitude_55,
  p1_.map_longitude AS map_longitude_56,
  p0_.city_id AS city_id_57,
  p0_.profile_id AS profile_id_58,
  p0_.placement_price_id AS placement_price_id_59,
  p1_.user_id AS user_id_60,
  p1_.city_id AS city_id_61,
  p1_.primary_station_id AS primary_station_id_62
FROM
  profile_top_placements p0_
  INNER JOIN profiles p1_ ON p0_.profile_id = p1_.id
  AND (p1_.deleted_at IS NULL)
WHERE
  p1_.city_id = ?
  AND (
    p0_.placed_at <= ?
    AND ? < p0_.expires_at
  )
LIMIT
  1

SELECT p0_.id AS id_0, p0_.placed_at AS placed_at_1, p0_.expires_at AS expires_at_2, p1_.id AS id_3, p1_.is_dummy AS is_dummy_4, p1_.uri_identity AS uri_identity_5, p1_.name AS name_6, p1_.description AS description_7, p1_.client_types AS client_types_8, p1_.phone_number AS phone_number_9, p1_.is_masseur AS is_masseur_10, p1_.extra_charge AS extra_charge_11, p1_.prepayment AS prepayment_12, p1_.prepayment_amount AS prepayment_amount_13, p1_.prepayment_comment AS prepayment_comment_14, p1_.is_approved AS is_approved_15, p1_.moderation_status AS moderation_status_16, p1_.created_at AS created_at_17, p1_.updated_at AS updated_at_18, p1_.inactivated_at AS inactivated_at_19, p1_.seo AS seo_20, p1_.delete_mode AS delete_mode_21, p1_.deleted_at AS deleted_at_22, p1_.person_gender AS person_gender_23, p1_.person_age AS person_age_24, p1_.person_height AS person_height_25, p1_.person_weight AS person_weight_26, p1_.person_breast_size AS person_breast_size_27, p1_.person_breast_type AS person_breast_type_28, p1_.person_cloth_size AS person_cloth_size_29, p1_.person_shoes_size AS person_shoes_size_30, p1_.person_body_type AS person_body_type_31, p1_.person_hair_color AS person_hair_color_32, p1_.person_private_haircut AS person_private_haircut_33, p1_.person_nationality AS person_nationality_34, p1_.person_has_tattoo AS person_has_tattoo_35, p1_.person_has_piercing AS person_has_piercing_36, p1_.messengers_telegram AS messengers_telegram_37, p1_.messengers_whatsapp AS messengers_whatsapp_38, p1_.messengers_telegram_username AS messengers_telegram_username_39, p1_.call_time_from AS call_time_from_40, p1_.call_time_to AS call_time_to_41, p1_.call_answering_to AS call_answering_to_42, p1_.client_min_age AS client_min_age_43, p1_.client_max_age AS client_max_age_44, p1_.apartments_one_hour_price AS apartments_one_hour_price_45, p1_.apartments_two_hours_price AS apartments_two_hours_price_46, p1_.apartments_night_price AS apartments_night_price_47, p1_.take_out_one_hour_price AS take_out_one_hour_price_48, p1_.take_out_two_hours_price AS take_out_two_hours_price_49, p1_.take_out_night_price AS take_out_night_price_50, p1_.take_out_locations AS take_out_locations_51, p1_.express_provided AS express_provided_52, p1_.express_price AS express_price_53, p1_.car_provided AS car_provided_54, p1_.map_latitude AS map_latitude_55, p1_.map_longitude AS map_longitude_56, p0_.city_id AS city_id_57, p0_.profile_id AS profile_id_58, p0_.placement_price_id AS placement_price_id_59, p1_.user_id AS user_id_60, p1_.city_id AS city_id_61, p1_.primary_station_id AS primary_station_id_62 FROM profile_top_placements p0_ INNER JOIN profiles p1_ ON p0_.profile_id = p1_.id AND (p1_.deleted_at IS NULL) WHERE p1_.city_id = 1 AND (p0_.placed_at <= '2026-04-13 13:05:18' AND '2026-04-13 13:05:18' < p0_.expires_at) LIMIT 1;

SELECT
  p0_.id AS id_0,
  p0_.placed_at AS placed_at_1,
  p0_.expires_at AS expires_at_2,
  p1_.id AS id_3,
  p1_.is_dummy AS is_dummy_4,
  p1_.uri_identity AS uri_identity_5,
  p1_.name AS name_6,
  p1_.description AS description_7,
  p1_.client_types AS client_types_8,
  p1_.phone_number AS phone_number_9,
  p1_.is_masseur AS is_masseur_10,
  p1_.extra_charge AS extra_charge_11,
  p1_.prepayment AS prepayment_12,
  p1_.prepayment_amount AS prepayment_amount_13,
  p1_.prepayment_comment AS prepayment_comment_14,
  p1_.is_approved AS is_approved_15,
  p1_.moderation_status AS moderation_status_16,
  p1_.created_at AS created_at_17,
  p1_.updated_at AS updated_at_18,
  p1_.inactivated_at AS inactivated_at_19,
  p1_.seo AS seo_20,
  p1_.delete_mode AS delete_mode_21,
  p1_.deleted_at AS deleted_at_22,
  p1_.person_gender AS person_gender_23,
  p1_.person_age AS person_age_24,
  p1_.person_height AS person_height_25,
  p1_.person_weight AS person_weight_26,
  p1_.person_breast_size AS person_breast_size_27,
  p1_.person_breast_type AS person_breast_type_28,
  p1_.person_cloth_size AS person_cloth_size_29,
  p1_.person_shoes_size AS person_shoes_size_30,
  p1_.person_body_type AS person_body_type_31,
  p1_.person_hair_color AS person_hair_color_32,
  p1_.person_private_haircut AS person_private_haircut_33,
  p1_.person_nationality AS person_nationality_34,
  p1_.person_has_tattoo AS person_has_tattoo_35,
  p1_.person_has_piercing AS person_has_piercing_36,
  p1_.messengers_telegram AS messengers_telegram_37,
  p1_.messengers_whatsapp AS messengers_whatsapp_38,
  p1_.messengers_telegram_username AS messengers_telegram_username_39,
  p1_.call_time_from AS call_time_from_40,
  p1_.call_time_to AS call_time_to_41,
  p1_.call_answering_to AS call_answering_to_42,
  p1_.client_min_age AS client_min_age_43,
  p1_.client_max_age AS client_max_age_44,
  p1_.apartments_one_hour_price AS apartments_one_hour_price_45,
  p1_.apartments_two_hours_price AS apartments_two_hours_price_46,
  p1_.apartments_night_price AS apartments_night_price_47,
  p1_.take_out_one_hour_price AS take_out_one_hour_price_48,
  p1_.take_out_two_hours_price AS take_out_two_hours_price_49,
  p1_.take_out_night_price AS take_out_night_price_50,
  p1_.take_out_locations AS take_out_locations_51,
  p1_.express_provided AS express_provided_52,
  p1_.express_price AS express_price_53,
  p1_.car_provided AS car_provided_54,
  p1_.map_latitude AS map_latitude_55,
  p1_.map_longitude AS map_longitude_56,
  p0_.city_id AS city_id_57,
  p0_.profile_id AS profile_id_58,
  p0_.placement_price_id AS placement_price_id_59,
  p1_.user_id AS user_id_60,
  p1_.city_id AS city_id_61,
  p1_.primary_station_id AS primary_station_id_62
FROM
  profile_top_placements p0_
  INNER JOIN profiles p1_ ON p0_.profile_id = p1_.id
  AND (p1_.deleted_at IS NULL)
WHERE
  p1_.city_id = ?
  AND (
    p0_.placed_at <= ?
    AND ? < p0_.expires_at
  )
LIMIT
  1

SELECT p0_.id AS id_0, p0_.placed_at AS placed_at_1, p0_.expires_at AS expires_at_2, p1_.id AS id_3, p1_.is_dummy AS is_dummy_4, p1_.uri_identity AS uri_identity_5, p1_.name AS name_6, p1_.description AS description_7, p1_.client_types AS client_types_8, p1_.phone_number AS phone_number_9, p1_.is_masseur AS is_masseur_10, p1_.extra_charge AS extra_charge_11, p1_.prepayment AS prepayment_12, p1_.prepayment_amount AS prepayment_amount_13, p1_.prepayment_comment AS prepayment_comment_14, p1_.is_approved AS is_approved_15, p1_.moderation_status AS moderation_status_16, p1_.created_at AS created_at_17, p1_.updated_at AS updated_at_18, p1_.inactivated_at AS inactivated_at_19, p1_.seo AS seo_20, p1_.delete_mode AS delete_mode_21, p1_.deleted_at AS deleted_at_22, p1_.person_gender AS person_gender_23, p1_.person_age AS person_age_24, p1_.person_height AS person_height_25, p1_.person_weight AS person_weight_26, p1_.person_breast_size AS person_breast_size_27, p1_.person_breast_type AS person_breast_type_28, p1_.person_cloth_size AS person_cloth_size_29, p1_.person_shoes_size AS person_shoes_size_30, p1_.person_body_type AS person_body_type_31, p1_.person_hair_color AS person_hair_color_32, p1_.person_private_haircut AS person_private_haircut_33, p1_.person_nationality AS person_nationality_34, p1_.person_has_tattoo AS person_has_tattoo_35, p1_.person_has_piercing AS person_has_piercing_36, p1_.messengers_telegram AS messengers_telegram_37, p1_.messengers_whatsapp AS messengers_whatsapp_38, p1_.messengers_telegram_username AS messengers_telegram_username_39, p1_.call_time_from AS call_time_from_40, p1_.call_time_to AS call_time_to_41, p1_.call_answering_to AS call_answering_to_42, p1_.client_min_age AS client_min_age_43, p1_.client_max_age AS client_max_age_44, p1_.apartments_one_hour_price AS apartments_one_hour_price_45, p1_.apartments_two_hours_price AS apartments_two_hours_price_46, p1_.apartments_night_price AS apartments_night_price_47, p1_.take_out_one_hour_price AS take_out_one_hour_price_48, p1_.take_out_two_hours_price AS take_out_two_hours_price_49, p1_.take_out_night_price AS take_out_night_price_50, p1_.take_out_locations AS take_out_locations_51, p1_.express_provided AS express_provided_52, p1_.express_price AS express_price_53, p1_.car_provided AS car_provided_54, p1_.map_latitude AS map_latitude_55, p1_.map_longitude AS map_longitude_56, p0_.city_id AS city_id_57, p0_.profile_id AS profile_id_58, p0_.placement_price_id AS placement_price_id_59, p1_.user_id AS user_id_60, p1_.city_id AS city_id_61, p1_.primary_station_id AS primary_station_id_62 FROM profile_top_placements p0_ INNER JOIN profiles p1_ ON p0_.profile_id = p1_.id AND (p1_.deleted_at IS NULL) WHERE p1_.city_id = 1 AND (p0_.placed_at <= '2026-04-13 13:05:18' AND '2026-04-13 13:05:18' < p0_.expires_at) LIMIT 1;

SELECT
  COUNT(p0_.id) AS sclr_0
FROM
  profiles p0_
  INNER JOIN profile_adboard_placements p1_ ON p0_.id = p1_.profile_id
WHERE
  (
    p0_.moderation_status IN (?, ?, ?)
    AND p0_.person_gender IN (?)
    AND (
      p0_.city_id = ?
      AND (
        p0_.city_id = ?
        AND EXISTS (
          SELECT
            1
          FROM
            profile_stations p2_
          WHERE
            p2_.profile_id = p0_.id
            AND p2_.station_id IN (?)
        )
      )
    )
  )
  AND (p0_.deleted_at IS NULL)

SELECT COUNT(p0_.id) AS sclr_0 FROM profiles p0_ INNER JOIN profile_adboard_placements p1_ ON p0_.id = p1_.profile_id WHERE (p0_.moderation_status IN (0, 2, 1) AND p0_.person_gender IN (1) AND (p0_.city_id = 1 AND (p0_.city_id = 1 AND EXISTS (SELECT 1 FROM profile_stations p2_ WHERE p2_.profile_id = p0_.id AND p2_.station_id IN (40))))) AND (p0_.deleted_at IS NULL);

SELECT
  t0.id AS id_1,
  t0.name AS name_2,
  t0.uri_identity AS uri_identity_3,
  t0.city_id AS city_id_4,
  t0.county_id AS county_id_5
FROM
  city_districts t0
WHERE
  t0.id = ?

SELECT t0.id AS id_1, t0.name AS name_2, t0.uri_identity AS uri_identity_3, t0.city_id AS city_id_4, t0.county_id AS county_id_5 FROM city_districts t0 WHERE t0.id = 44;

SELECT
  t0.id AS id_1,
  t0.name AS name_2,
  t0.uri_identity AS uri_identity_3,
  t0.city_id AS city_id_4,
  t0.county_id AS county_id_5,
  t0.district_id AS district_id_6
FROM
  city_stations t0
WHERE
  t0.district_id = ?

SELECT t0.id AS id_1, t0.name AS name_2, t0.uri_identity AS uri_identity_3, t0.city_id AS city_id_4, t0.county_id AS county_id_5, t0.district_id AS district_id_6 FROM city_stations t0 WHERE t0.district_id = 44;

SELECT
  p0_.id AS id_0
FROM
  profiles p0_
  INNER JOIN profile_adboard_placements p1_ ON p0_.id = p1_.profile_id
WHERE
  (
    p0_.moderation_status IN (?, ?, ?)
    AND p0_.person_gender IN (?)
    AND (
      p0_.city_id = ?
      AND p0_.is_masseur = ?
      AND (
        p0_.city_id = ?
        AND EXISTS (
          SELECT
            1
          FROM
            profile_stations p2_
          WHERE
            p2_.profile_id = p0_.id
            AND p2_.station_id IN (?, ?, ?, ?, ?, ?)
        )
      )
    )
  )
  AND (p0_.deleted_at IS NULL)
ORDER BY
  RAND() ASC
LIMIT
  1

SELECT p0_.id AS id_0 FROM profiles p0_ INNER JOIN profile_adboard_placements p1_ ON p0_.id = p1_.profile_id WHERE (p0_.moderation_status IN (0, 2, 1) AND p0_.person_gender IN (1) AND (p0_.city_id = 1 AND p0_.is_masseur = 0 AND (p0_.city_id = 1 AND EXISTS (SELECT 1 FROM profile_stations p2_ WHERE p2_.profile_id = p0_.id AND p2_.station_id IN (40, 48, 61, 75, 202, 209))))) AND (p0_.deleted_at IS NULL) ORDER BY RAND() ASC LIMIT 1;

SELECT
  p0_.id AS id_0
FROM
  profiles p0_
  INNER JOIN profile_adboard_placements p1_ ON p0_.id = p1_.profile_id
WHERE
  (
    p0_.moderation_status IN (?, ?, ?)
    AND p0_.person_gender IN (?)
    AND (
      p0_.city_id = ?
      AND p0_.is_masseur = ?
    )
  )
  AND (p0_.deleted_at IS NULL)
ORDER BY
  RAND() ASC
LIMIT
  1

SELECT p0_.id AS id_0 FROM profiles p0_ INNER JOIN profile_adboard_placements p1_ ON p0_.id = p1_.profile_id WHERE (p0_.moderation_status IN (0, 2, 1) AND p0_.person_gender IN (1) AND (p0_.city_id = 1 AND p0_.is_masseur = 0)) AND (p0_.deleted_at IS NULL) ORDER BY RAND() ASC LIMIT 1;

SELECT
  p0_.id AS id_0
FROM
  profiles p0_
  LEFT JOIN cities c1_ ON p0_.city_id = c1_.id
  INNER JOIN profile_adboard_placements p2_ ON p0_.id = p2_.profile_id
WHERE
  (
    c1_.country_code = ?
    AND p0_.moderation_status IN (?, ?, ?)
    AND p0_.person_gender IN (?)
    AND p0_.is_masseur = ?
  )
  AND (p0_.deleted_at IS NULL)
ORDER BY
  RAND() ASC
LIMIT
  1

SELECT p0_.id AS id_0 FROM profiles p0_ LEFT JOIN cities c1_ ON p0_.city_id = c1_.id INNER JOIN profile_adboard_placements p2_ ON p0_.id = p2_.profile_id WHERE (c1_.country_code = 'RU' AND p0_.moderation_status IN (0, 2, 1) AND p0_.person_gender IN (1) AND p0_.is_masseur = 0) AND (p0_.deleted_at IS NULL) ORDER BY RAND() ASC LIMIT 1;

SELECT
  t0.id AS id_1,
  t0.name AS name_2,
  t0.uri_identity AS uri_identity_3,
  t0.city_id AS city_id_4,
  t0.county_id AS county_id_5
FROM
  city_districts t0
WHERE
  t0.city_id = ?

SELECT t0.id AS id_1, t0.name AS name_2, t0.uri_identity AS uri_identity_3, t0.city_id AS city_id_4, t0.county_id AS county_id_5 FROM city_districts t0 WHERE t0.city_id = 1;

SELECT
  s0_.id AS id_0,
  s0_.`group` AS group_1,
  s0_.name AS name_2,
  s0_.uri_identity AS uri_identity_3,
  s0_.sort AS sort_4
FROM
  services s0_
ORDER BY
  s0_.`group` ASC,
  s0_.sort ASC,
  s0_.id ASC

SELECT s0_.id AS id_0, s0_.`group` AS group_1, s0_.name AS name_2, s0_.uri_identity AS uri_identity_3, s0_.sort AS sort_4 FROM services s0_ ORDER BY s0_.`group` ASC, s0_.sort ASC, s0_.id ASC;

SELECT
  p0_.id AS id_0,
  p0_.placed_at AS placed_at_1,
  p0_.expires_at AS expires_at_2,
  p1_.id AS id_3,
  p1_.is_dummy AS is_dummy_4,
  p1_.uri_identity AS uri_identity_5,
  p1_.name AS name_6,
  p1_.description AS description_7,
  p1_.client_types AS client_types_8,
  p1_.phone_number AS phone_number_9,
  p1_.is_masseur AS is_masseur_10,
  p1_.extra_charge AS extra_charge_11,
  p1_.prepayment AS prepayment_12,
  p1_.prepayment_amount AS prepayment_amount_13,
  p1_.prepayment_comment AS prepayment_comment_14,
  p1_.is_approved AS is_approved_15,
  p1_.moderation_status AS moderation_status_16,
  p1_.created_at AS created_at_17,
  p1_.updated_at AS updated_at_18,
  p1_.inactivated_at AS inactivated_at_19,
  p1_.seo AS seo_20,
  p1_.delete_mode AS delete_mode_21,
  p1_.deleted_at AS deleted_at_22,
  p1_.person_gender AS person_gender_23,
  p1_.person_age AS person_age_24,
  p1_.person_height AS person_height_25,
  p1_.person_weight AS person_weight_26,
  p1_.person_breast_size AS person_breast_size_27,
  p1_.person_breast_type AS person_breast_type_28,
  p1_.person_cloth_size AS person_cloth_size_29,
  p1_.person_shoes_size AS person_shoes_size_30,
  p1_.person_body_type AS person_body_type_31,
  p1_.person_hair_color AS person_hair_color_32,
  p1_.person_private_haircut AS person_private_haircut_33,
  p1_.person_nationality AS person_nationality_34,
  p1_.person_has_tattoo AS person_has_tattoo_35,
  p1_.person_has_piercing AS person_has_piercing_36,
  p1_.messengers_telegram AS messengers_telegram_37,
  p1_.messengers_whatsapp AS messengers_whatsapp_38,
  p1_.messengers_telegram_username AS messengers_telegram_username_39,
  p1_.call_time_from AS call_time_from_40,
  p1_.call_time_to AS call_time_to_41,
  p1_.call_answering_to AS call_answering_to_42,
  p1_.client_min_age AS client_min_age_43,
  p1_.client_max_age AS client_max_age_44,
  p1_.apartments_one_hour_price AS apartments_one_hour_price_45,
  p1_.apartments_two_hours_price AS apartments_two_hours_price_46,
  p1_.apartments_night_price AS apartments_night_price_47,
  p1_.take_out_one_hour_price AS take_out_one_hour_price_48,
  p1_.take_out_two_hours_price AS take_out_two_hours_price_49,
  p1_.take_out_night_price AS take_out_night_price_50,
  p1_.take_out_locations AS take_out_locations_51,
  p1_.express_provided AS express_provided_52,
  p1_.express_price AS express_price_53,
  p1_.car_provided AS car_provided_54,
  p1_.map_latitude AS map_latitude_55,
  p1_.map_longitude AS map_longitude_56,
  p0_.city_id AS city_id_57,
  p0_.profile_id AS profile_id_58,
  p0_.placement_price_id AS placement_price_id_59,
  p1_.user_id AS user_id_60,
  p1_.city_id AS city_id_61,
  p1_.primary_station_id AS primary_station_id_62
FROM
  profile_top_placements p0_
  INNER JOIN profiles p1_ ON p0_.profile_id = p1_.id
  AND (p1_.deleted_at IS NULL)
WHERE
  p1_.city_id = ?
  AND (
    p0_.placed_at <= ?
    AND ? < p0_.expires_at
  )
LIMIT
  1

SELECT p0_.id AS id_0, p0_.placed_at AS placed_at_1, p0_.expires_at AS expires_at_2, p1_.id AS id_3, p1_.is_dummy AS is_dummy_4, p1_.uri_identity AS uri_identity_5, p1_.name AS name_6, p1_.description AS description_7, p1_.client_types AS client_types_8, p1_.phone_number AS phone_number_9, p1_.is_masseur AS is_masseur_10, p1_.extra_charge AS extra_charge_11, p1_.prepayment AS prepayment_12, p1_.prepayment_amount AS prepayment_amount_13, p1_.prepayment_comment AS prepayment_comment_14, p1_.is_approved AS is_approved_15, p1_.moderation_status AS moderation_status_16, p1_.created_at AS created_at_17, p1_.updated_at AS updated_at_18, p1_.inactivated_at AS inactivated_at_19, p1_.seo AS seo_20, p1_.delete_mode AS delete_mode_21, p1_.deleted_at AS deleted_at_22, p1_.person_gender AS person_gender_23, p1_.person_age AS person_age_24, p1_.person_height AS person_height_25, p1_.person_weight AS person_weight_26, p1_.person_breast_size AS person_breast_size_27, p1_.person_breast_type AS person_breast_type_28, p1_.person_cloth_size AS person_cloth_size_29, p1_.person_shoes_size AS person_shoes_size_30, p1_.person_body_type AS person_body_type_31, p1_.person_hair_color AS person_hair_color_32, p1_.person_private_haircut AS person_private_haircut_33, p1_.person_nationality AS person_nationality_34, p1_.person_has_tattoo AS person_has_tattoo_35, p1_.person_has_piercing AS person_has_piercing_36, p1_.messengers_telegram AS messengers_telegram_37, p1_.messengers_whatsapp AS messengers_whatsapp_38, p1_.messengers_telegram_username AS messengers_telegram_username_39, p1_.call_time_from AS call_time_from_40, p1_.call_time_to AS call_time_to_41, p1_.call_answering_to AS call_answering_to_42, p1_.client_min_age AS client_min_age_43, p1_.client_max_age AS client_max_age_44, p1_.apartments_one_hour_price AS apartments_one_hour_price_45, p1_.apartments_two_hours_price AS apartments_two_hours_price_46, p1_.apartments_night_price AS apartments_night_price_47, p1_.take_out_one_hour_price AS take_out_one_hour_price_48, p1_.take_out_two_hours_price AS take_out_two_hours_price_49, p1_.take_out_night_price AS take_out_night_price_50, p1_.take_out_locations AS take_out_locations_51, p1_.express_provided AS express_provided_52, p1_.express_price AS express_price_53, p1_.car_provided AS car_provided_54, p1_.map_latitude AS map_latitude_55, p1_.map_longitude AS map_longitude_56, p0_.city_id AS city_id_57, p0_.profile_id AS profile_id_58, p0_.placement_price_id AS placement_price_id_59, p1_.user_id AS user_id_60, p1_.city_id AS city_id_61, p1_.primary_station_id AS primary_station_id_62 FROM profile_top_placements p0_ INNER JOIN profiles p1_ ON p0_.profile_id = p1_.id AND (p1_.deleted_at IS NULL) WHERE p1_.city_id = 1 AND (p0_.placed_at <= '2026-04-13 13:05:18' AND '2026-04-13 13:05:18' < p0_.expires_at) LIMIT 1;

SELECT
  p0_.city_id AS sclr_0,
  COUNT(p0_.id) AS sclr_1
FROM
  profiles p0_
  INNER JOIN profile_adboard_placements p1_ ON p0_.id = p1_.profile_id
WHERE
  (
    p0_.person_gender IN (?)
    AND p0_.moderation_status IN (?, ?, ?)
  )
  AND (p0_.deleted_at IS NULL)
GROUP BY
  p0_.city_id

SELECT p0_.city_id AS sclr_0, COUNT(p0_.id) AS sclr_1 FROM profiles p0_ INNER JOIN profile_adboard_placements p1_ ON p0_.id = p1_.profile_id WHERE (p0_.person_gender IN (1) AND p0_.moderation_status IN (0, 2, 1)) AND (p0_.deleted_at IS NULL) GROUP BY p0_.city_id;

SELECT
  t0.id AS id_1,
  t0.name AS name_2,
  t0.uri_identity AS uri_identity_3,
  t0.country_code AS country_code_4,
  t0.city_group AS city_group_5,
  t0.timezone AS timezone_6,
  t0.map_latitude AS map_latitude_7,
  t0.map_longitude AS map_longitude_8
FROM
  cities t0

SELECT t0.id AS id_1, t0.name AS name_2, t0.uri_identity AS uri_identity_3, t0.country_code AS country_code_4, t0.city_group AS city_group_5, t0.timezone AS timezone_6, t0.map_latitude AS map_latitude_7, t0.map_longitude AS map_longitude_8 FROM cities t0;

SELECT
  t0.id AS id_1,
  t0.name AS name_2,
  t0.uri_identity AS uri_identity_3,
  t0.city_id AS city_id_4,
  t0.county_id AS county_id_5,
  t0.district_id AS district_id_6
FROM
  city_stations t0

SELECT t0.id AS id_1, t0.name AS name_2, t0.uri_identity AS uri_identity_3, t0.city_id AS city_id_4, t0.county_id AS county_id_5, t0.district_id AS district_id_6 FROM city_stations t0;

SELECT
  t0.id AS id_1,
  t0.name AS name_2,
  t0.uri_identity AS uri_identity_3,
  t0.city_id AS city_id_4,
  t0.county_id AS county_id_5,
  t0.district_id AS district_id_6
FROM
  city_stations t0

SELECT t0.id AS id_1, t0.name AS name_2, t0.uri_identity AS uri_identity_3, t0.city_id AS city_id_4, t0.county_id AS county_id_5, t0.district_id AS district_id_6 FROM city_stations t0;