Symfony Profiler

SELECT
  *
FROM
  customer_device
WHERE
  :token LIKE CONCAT(token, '%')
  AND `status` = 0

SELECT
        *
        FROM
        customer_device
        WHERE
            'eyJ0eXAiOiJKV1QiLCJhbGciOiJSUzI1NiJ9.eyJpYXQiOjE3Mzg2ODA2MTksImV4cCI6MTczODY4NDIxOSwicm9sZXMiOlsiUk9MRV9DVVNUT01FUiJdLCJ1c2VybmFtZSI6Im1hcGVycmliYXlnZUBnbWFpbC5jb20ifQ.QSYpzMm-wnXGJ84wBzcko8vvagxw9JEiW89dXO8SfmLW5Zeepdhp0GTHjoADxONdKJFGU2jUtk5Q3ny09nXzqeujKAndBp-NukE6R6JEunAmjelQm5v8UQRHrbIzKmOXiQKyRLEVMKLT_VfTDEaGwkm8ViBTIN1F-t3FSNumU_ol5HsXr-nKMIb1HS4XCDnr_gNwXkGCAimuh9howYanVMl6787WH8ti1RrpbM1gUAsMR0ozXUP6jpv-_eA4qC1afgKZQPcXJ4lSlrdI-bvee-XQlHpiQPqMz5shucZY1kRA5AvlSM6s-n6yhjAZG4sTqjXBg5T9brBlZi3jIfVNpTGPzLRl9B_xIu3gwc0J9eYJR4YX37alrvYQ6YW2CtRtynU41-SEeBFknFNzQKrUjqoXbcJrSRT8FA7EvPeuUawC-Z6upudidLO6Jgah-94aFZYlUEgsz7wA_eu9ayXzDpkQ8M2ap7Rd2lpozFE-y8IYSG6n786SJ1XE7GJjAdH3RtY5rAuyPeH6DCBs9PzaaIsEqR7T8f-BeQPeVIaHTd0JbEwUhcuSycLiUJMvGi0kKJu7Mli-kj99OhakEXdp7c9hylxM_l64eqBFVtfUPs7_SNS-vadijfjFHtLJaKt-HKXV4K6_Vt18VD-p4p6dpBebgB5D2ueNC8no-463Bzo' LIKE CONCAT(token,'%') AND
            `status` = 0
        ;

SELECT
  t0.id AS id_1,
  t0.year AS year_2,
  t0.is_active AS is_active_3,
  t0.team_id AS team_id_4,
  t0.customer_id AS customer_id_5,
  t0.country_id AS country_id_6
FROM
  season t0
WHERE
  t0.customer_id = ?

SELECT t0.id AS id_1, t0.year AS year_2, t0.is_active AS is_active_3, t0.team_id AS team_id_4, t0.customer_id AS customer_id_5, t0.country_id AS country_id_6 FROM season t0 WHERE t0.customer_id = 26851;

SELECT
  t0.id AS id_1,
  t0.email AS email_2,
  t0.username AS username_3,
  t0.roles AS roles_4,
  t0.password AS password_5,
  t0.plain_password AS plain_password_6,
  t0.enabled AS enabled_7,
  t0.name AS name_8,
  t0.surname AS surname_9,
  t0.address AS address_10,
  t0.celular AS celular_11,
  t0.image AS image_12,
  t0.created_at AS created_at_13,
  t0.updated_at AS updated_at_14,
  t0.country_id AS country_id_15,
  t0.season_active AS season_active_16,
  t0.type_account AS type_account_17,
  t0.is_pro AS is_pro_18,
  t0.purchase AS purchase_19,
  t0.purchase_platform AS purchase_platform_20,
  t0.membership_id AS membership_id_21,
  t0.coupon_status AS coupon_status_22,
  t0.phone AS phone_23,
  t0.google_auth_code AS google_auth_code_24,
  t0.google_auth_code_verified AS google_auth_code_verified_25,
  t0.date_of_birth AS date_of_birth_26,
  t0.deleted_at AS deleted_at_27,
  t0.is_deleted AS is_deleted_28,
  t0.country_id AS country_id_29
FROM
  customer t0
WHERE
  t0.email = ?
LIMIT
  1

SELECT t0.id AS id_1, t0.email AS email_2, t0.username AS username_3, t0.roles AS roles_4, t0.password AS password_5, t0.plain_password AS plain_password_6, t0.enabled AS enabled_7, t0.name AS name_8, t0.surname AS surname_9, t0.address AS address_10, t0.celular AS celular_11, t0.image AS image_12, t0.created_at AS created_at_13, t0.updated_at AS updated_at_14, t0.country_id AS country_id_15, t0.season_active AS season_active_16, t0.type_account AS type_account_17, t0.is_pro AS is_pro_18, t0.purchase AS purchase_19, t0.purchase_platform AS purchase_platform_20, t0.membership_id AS membership_id_21, t0.coupon_status AS coupon_status_22, t0.phone AS phone_23, t0.google_auth_code AS google_auth_code_24, t0.google_auth_code_verified AS google_auth_code_verified_25, t0.date_of_birth AS date_of_birth_26, t0.deleted_at AS deleted_at_27, t0.is_deleted AS is_deleted_28, t0.country_id AS country_id_29 FROM customer t0 WHERE t0.email = 'maperribayge@gmail.com' LIMIT 1;

SELECT
  t0.id AS id_1,
  t0.date AS date_2,
  t0.type_exercise AS type_exercise_3,
  t0.exercise_id AS exercise_id_4,
  t0.season_id AS season_id_5,
  t0.exercise_id AS exercise_id_6,
  t0.exercise_user_id AS exercise_user_id_7
FROM
  exercise_calendar t0
WHERE
  t0.date = ?
  AND t0.season_id = ?

SELECT t0.id AS id_1, t0.date AS date_2, t0.type_exercise AS type_exercise_3, t0.exercise_id AS exercise_id_4, t0.season_id AS season_id_5, t0.exercise_id AS exercise_id_6, t0.exercise_user_id AS exercise_user_id_7 FROM exercise_calendar t0 WHERE t0.date = '2025-01-29' AND t0.season_id = 28197;

SELECT
  t0.id AS id_1,
  t0.name AS name_2,
  t0.lastname AS lastname_3,
  t0.age AS age_4,
  t0.weight AS weight_5,
  t0.height AS height_6,
  t0.shoes AS shoes_7,
  t0.image AS image_8,
  t0.updated_at AS updated_at_9,
  t0.skillful_leg AS skillful_leg_10,
  t0.is_active AS is_active_11,
  t0.birth_date AS birth_date_12,
  t0.phone AS phone_13,
  t0.email AS email_14,
  t0.number_document AS number_document_15,
  t0.health_card AS health_card_16,
  t0.date_of_birth AS date_of_birth_17,
  t0.medical_review_date AS medical_review_date_18,
  t0.last_club AS last_club_19,
  t0.deleted_at AS deleted_at_20,
  t0.position_id AS position_id_21,
  t0.secondary_position_id AS secondary_position_id_22,
  t0.country_id AS country_id_23
FROM
  player t0
  INNER JOIN training_asist_player ON t0.id = training_asist_player.player_id
WHERE
  training_asist_player.training_asist_id = ?

SELECT t0.id AS id_1, t0.name AS name_2, t0.lastname AS lastname_3, t0.age AS age_4, t0.weight AS weight_5, t0.height AS height_6, t0.shoes AS shoes_7, t0.image AS image_8, t0.updated_at AS updated_at_9, t0.skillful_leg AS skillful_leg_10, t0.is_active AS is_active_11, t0.birth_date AS birth_date_12, t0.phone AS phone_13, t0.email AS email_14, t0.number_document AS number_document_15, t0.health_card AS health_card_16, t0.date_of_birth AS date_of_birth_17, t0.medical_review_date AS medical_review_date_18, t0.last_club AS last_club_19, t0.deleted_at AS deleted_at_20, t0.position_id AS position_id_21, t0.secondary_position_id AS secondary_position_id_22, t0.country_id AS country_id_23 FROM player t0 INNER JOIN training_asist_player ON t0.id = training_asist_player.player_id WHERE training_asist_player.training_asist_id = 49100;

SELECT
  t0_.id AS id_0,
  t0_.date AS date_1,
  t0_.season_id AS season_id_2
FROM
  training_asist t0_
WHERE
  t0_.season_id = ?
  AND t0_.date >= ?
  AND t0_.date <= ?

SELECT t0_.id AS id_0, t0_.date AS date_1, t0_.season_id AS season_id_2 FROM training_asist t0_ WHERE t0_.season_id = 28197 AND t0_.date >= '2025-01-01 07:54:16' AND t0_.date <= '2025-03-31 07:54:16';