Symfony Profiler

SELECT
  t0.id AS id_1,
  t0.identifier AS identifier_2,
  t0.value AS value_3,
  t0.type AS type_4,
  t0.required AS required_5
FROM
  fbeen_settings t0

SELECT t0.id AS id_1, t0.identifier AS identifier_2, t0.value AS value_3, t0.type AS type_4, t0.required AS required_5 FROM fbeen_settings t0;

SELECT
  r0_.id AS id_0,
  r0_.title AS title_1,
  r0_.slug AS slug_2,
  r0_.path AS path_3,
  r0_.position AS position_4,
  r0_.date_created AS date_created_5,
  r0_.visibility AS visibility_6,
  r0_.parent_id AS parent_id_7,
  r0_.route_name AS route_name_8,
  r0_.template AS template_9,
  r0_.layout_type AS layout_type_10,
  r0_.controller AS controller_11,
  r0_.content_type AS content_type_12,
  r0_.controller AS controller_13,
  r0_.content_type AS content_type_14,
  r0_.url AS url_15,
  r0_.permanent AS permanent_16,
  r0_.route_type AS route_type_17
FROM
  route r0_
WHERE
  r0_.route_type IN (
    'list', 'post', 'page', 'taxon', 'url'
  )
ORDER BY
  r0_.position ASC

SELECT r0_.id AS id_0, r0_.title AS title_1, r0_.slug AS slug_2, r0_.path AS path_3, r0_.position AS position_4, r0_.date_created AS date_created_5, r0_.visibility AS visibility_6, r0_.parent_id AS parent_id_7, r0_.route_name AS route_name_8, r0_.template AS template_9, r0_.layout_type AS layout_type_10, r0_.controller AS controller_11, r0_.content_type AS content_type_12, r0_.controller AS controller_13, r0_.content_type AS content_type_14, r0_.url AS url_15, r0_.permanent AS permanent_16, r0_.route_type AS route_type_17 FROM route r0_ WHERE r0_.route_type IN ('list', 'post', 'page', 'taxon', 'url') ORDER BY r0_.position ASC;

SELECT
  DISTINCT id_0
FROM
  (
    SELECT
      u0_.id AS id_0,
      u0_.username AS username_1,
      u0_.firstname AS firstname_2,
      u0_.lastname AS lastname_3,
      u0_.gender AS gender_4,
      u0_.dob AS dob_5,
      u0_.contact_number AS contact_number_6,
      u0_.email AS email_7,
      u0_.address AS address_8,
      u0_.city AS city_9,
      u0_.country AS country_10,
      u0_.postal_code AS postal_code_11,
      u0_.roles AS roles_12,
      u0_.password AS password_13,
      u0_.salt AS salt_14,
      u0_.account_status AS account_status_15,
      u0_.is_activated AS is_activated_16,
      u0_.is_verified AS is_verified_17,
      u0_.created_at AS created_at_18,
      u0_.updated_at AS updated_at_19,
      u0_.bio AS bio_20,
      u0_.thumbnail AS thumbnail_21,
      d1_.clinic_name AS clinic_name_22,
      d1_.clinic_address AS clinic_address_23,
      d1_.services AS services_24,
      d1_.ip_address AS ip_address_25,
      d1_.pricing AS pricing_26,
      d1_.longitude AS longitude_27,
      d1_.latitude AS latitude_28,
      d1_.whatsapp_number AS whatsapp_number_29,
      SUM(r2_.rating) AS sclr_30,
      COUNT(r2_.id) AS sclr_31,
      u0_.user_type AS user_type_32
    FROM
      doctor d1_
      INNER JOIN users u0_ ON d1_.id = u0_.id
      LEFT JOIN review r2_ ON d1_.id = r2_.doctor_id
    GROUP BY
      u0_.id,
      u0_.username,
      u0_.firstname,
      u0_.lastname,
      u0_.gender,
      u0_.dob,
      u0_.contact_number,
      u0_.email,
      u0_.address,
      u0_.city,
      u0_.country,
      u0_.postal_code,
      u0_.roles,
      u0_.password,
      u0_.salt,
      u0_.account_status,
      u0_.is_activated,
      u0_.is_verified,
      u0_.created_at,
      u0_.updated_at,
      u0_.bio,
      u0_.thumbnail,
      d1_.clinic_name,
      d1_.clinic_address,
      d1_.services,
      d1_.ip_address,
      d1_.pricing,
      d1_.longitude,
      d1_.latitude,
      d1_.whatsapp_number,
      d1_.pricing_plan_id
  ) dctrn_result
LIMIT
  10

SELECT DISTINCT id_0 FROM (SELECT u0_.id AS id_0, u0_.username AS username_1, u0_.firstname AS firstname_2, u0_.lastname AS lastname_3, u0_.gender AS gender_4, u0_.dob AS dob_5, u0_.contact_number AS contact_number_6, u0_.email AS email_7, u0_.address AS address_8, u0_.city AS city_9, u0_.country AS country_10, u0_.postal_code AS postal_code_11, u0_.roles AS roles_12, u0_.password AS password_13, u0_.salt AS salt_14, u0_.account_status AS account_status_15, u0_.is_activated AS is_activated_16, u0_.is_verified AS is_verified_17, u0_.created_at AS created_at_18, u0_.updated_at AS updated_at_19, u0_.bio AS bio_20, u0_.thumbnail AS thumbnail_21, d1_.clinic_name AS clinic_name_22, d1_.clinic_address AS clinic_address_23, d1_.services AS services_24, d1_.ip_address AS ip_address_25, d1_.pricing AS pricing_26, d1_.longitude AS longitude_27, d1_.latitude AS latitude_28, d1_.whatsapp_number AS whatsapp_number_29, SUM(r2_.rating) AS sclr_30, COUNT(r2_.id) AS sclr_31, u0_.user_type AS user_type_32 FROM doctor d1_ INNER JOIN users u0_ ON d1_.id = u0_.id LEFT JOIN review r2_ ON d1_.id = r2_.doctor_id GROUP BY u0_.id, u0_.username, u0_.firstname, u0_.lastname, u0_.gender, u0_.dob, u0_.contact_number, u0_.email, u0_.address, u0_.city, u0_.country, u0_.postal_code, u0_.roles, u0_.password, u0_.salt, u0_.account_status, u0_.is_activated, u0_.is_verified, u0_.created_at, u0_.updated_at, u0_.bio, u0_.thumbnail, d1_.clinic_name, d1_.clinic_address, d1_.services, d1_.ip_address, d1_.pricing, d1_.longitude, d1_.latitude, d1_.whatsapp_number, d1_.pricing_plan_id) dctrn_result LIMIT 10;

SELECT
  u0_.id AS id_0,
  u0_.username AS username_1,
  u0_.firstname AS firstname_2,
  u0_.lastname AS lastname_3,
  u0_.gender AS gender_4,
  u0_.dob AS dob_5,
  u0_.contact_number AS contact_number_6,
  u0_.email AS email_7,
  u0_.address AS address_8,
  u0_.city AS city_9,
  u0_.country AS country_10,
  u0_.postal_code AS postal_code_11,
  u0_.roles AS roles_12,
  u0_.password AS password_13,
  u0_.salt AS salt_14,
  u0_.account_status AS account_status_15,
  u0_.is_activated AS is_activated_16,
  u0_.is_verified AS is_verified_17,
  u0_.created_at AS created_at_18,
  u0_.updated_at AS updated_at_19,
  u0_.bio AS bio_20,
  u0_.thumbnail AS thumbnail_21,
  d1_.clinic_name AS clinic_name_22,
  d1_.clinic_address AS clinic_address_23,
  d1_.services AS services_24,
  d1_.ip_address AS ip_address_25,
  d1_.pricing AS pricing_26,
  d1_.longitude AS longitude_27,
  d1_.latitude AS latitude_28,
  d1_.whatsapp_number AS whatsapp_number_29,
  SUM(r2_.rating) AS sclr_30,
  COUNT(r2_.id) AS sclr_31,
  u0_.user_type AS user_type_32,
  d1_.pricing_plan_id AS pricing_plan_id_33
FROM
  doctor d1_
  INNER JOIN users u0_ ON d1_.id = u0_.id
  LEFT JOIN review r2_ ON d1_.id = r2_.doctor_id
WHERE
  u0_.id IN (?, ?, ?)
GROUP BY
  u0_.id,
  u0_.username,
  u0_.firstname,
  u0_.lastname,
  u0_.gender,
  u0_.dob,
  u0_.contact_number,
  u0_.email,
  u0_.address,
  u0_.city,
  u0_.country,
  u0_.postal_code,
  u0_.roles,
  u0_.password,
  u0_.salt,
  u0_.account_status,
  u0_.is_activated,
  u0_.is_verified,
  u0_.created_at,
  u0_.updated_at,
  u0_.bio,
  u0_.thumbnail,
  d1_.clinic_name,
  d1_.clinic_address,
  d1_.services,
  d1_.ip_address,
  d1_.pricing,
  d1_.longitude,
  d1_.latitude,
  d1_.whatsapp_number,
  d1_.pricing_plan_id

SELECT u0_.id AS id_0, u0_.username AS username_1, u0_.firstname AS firstname_2, u0_.lastname AS lastname_3, u0_.gender AS gender_4, u0_.dob AS dob_5, u0_.contact_number AS contact_number_6, u0_.email AS email_7, u0_.address AS address_8, u0_.city AS city_9, u0_.country AS country_10, u0_.postal_code AS postal_code_11, u0_.roles AS roles_12, u0_.password AS password_13, u0_.salt AS salt_14, u0_.account_status AS account_status_15, u0_.is_activated AS is_activated_16, u0_.is_verified AS is_verified_17, u0_.created_at AS created_at_18, u0_.updated_at AS updated_at_19, u0_.bio AS bio_20, u0_.thumbnail AS thumbnail_21, d1_.clinic_name AS clinic_name_22, d1_.clinic_address AS clinic_address_23, d1_.services AS services_24, d1_.ip_address AS ip_address_25, d1_.pricing AS pricing_26, d1_.longitude AS longitude_27, d1_.latitude AS latitude_28, d1_.whatsapp_number AS whatsapp_number_29, SUM(r2_.rating) AS sclr_30, COUNT(r2_.id) AS sclr_31, u0_.user_type AS user_type_32, d1_.pricing_plan_id AS pricing_plan_id_33 FROM doctor d1_ INNER JOIN users u0_ ON d1_.id = u0_.id LEFT JOIN review r2_ ON d1_.id = r2_.doctor_id WHERE u0_.id IN (23, 35, 40) GROUP BY u0_.id, u0_.username, u0_.firstname, u0_.lastname, u0_.gender, u0_.dob, u0_.contact_number, u0_.email, u0_.address, u0_.city, u0_.country, u0_.postal_code, u0_.roles, u0_.password, u0_.salt, u0_.account_status, u0_.is_activated, u0_.is_verified, u0_.created_at, u0_.updated_at, u0_.bio, u0_.thumbnail, d1_.clinic_name, d1_.clinic_address, d1_.services, d1_.ip_address, d1_.pricing, d1_.longitude, d1_.latitude, d1_.whatsapp_number, d1_.pricing_plan_id;

SELECT
  COUNT(*) AS dctrn_count
FROM
  (
    SELECT
      u0_.id AS id_0,
      u0_.username AS username_1,
      u0_.firstname AS firstname_2,
      u0_.lastname AS lastname_3,
      u0_.gender AS gender_4,
      u0_.dob AS dob_5,
      u0_.contact_number AS contact_number_6,
      u0_.email AS email_7,
      u0_.address AS address_8,
      u0_.city AS city_9,
      u0_.country AS country_10,
      u0_.postal_code AS postal_code_11,
      u0_.roles AS roles_12,
      u0_.password AS password_13,
      u0_.salt AS salt_14,
      u0_.account_status AS account_status_15,
      u0_.is_activated AS is_activated_16,
      u0_.is_verified AS is_verified_17,
      u0_.created_at AS created_at_18,
      u0_.updated_at AS updated_at_19,
      u0_.bio AS bio_20,
      u0_.thumbnail AS thumbnail_21,
      d1_.clinic_name AS clinic_name_22,
      d1_.clinic_address AS clinic_address_23,
      d1_.services AS services_24,
      d1_.ip_address AS ip_address_25,
      d1_.pricing AS pricing_26,
      d1_.longitude AS longitude_27,
      d1_.latitude AS latitude_28,
      d1_.whatsapp_number AS whatsapp_number_29,
      SUM(r2_.rating) AS sclr_30,
      COUNT(r2_.id) AS sclr_31,
      u0_.user_type AS user_type_32
    FROM
      doctor d1_
      INNER JOIN users u0_ ON d1_.id = u0_.id
      LEFT JOIN review r2_ ON d1_.id = r2_.doctor_id
    GROUP BY
      u0_.id,
      u0_.username,
      u0_.firstname,
      u0_.lastname,
      u0_.gender,
      u0_.dob,
      u0_.contact_number,
      u0_.email,
      u0_.address,
      u0_.city,
      u0_.country,
      u0_.postal_code,
      u0_.roles,
      u0_.password,
      u0_.salt,
      u0_.account_status,
      u0_.is_activated,
      u0_.is_verified,
      u0_.created_at,
      u0_.updated_at,
      u0_.bio,
      u0_.thumbnail,
      d1_.clinic_name,
      d1_.clinic_address,
      d1_.services,
      d1_.ip_address,
      d1_.pricing,
      d1_.longitude,
      d1_.latitude,
      d1_.whatsapp_number,
      d1_.pricing_plan_id
  ) dctrn_table

SELECT COUNT(*) AS dctrn_count FROM (SELECT u0_.id AS id_0, u0_.username AS username_1, u0_.firstname AS firstname_2, u0_.lastname AS lastname_3, u0_.gender AS gender_4, u0_.dob AS dob_5, u0_.contact_number AS contact_number_6, u0_.email AS email_7, u0_.address AS address_8, u0_.city AS city_9, u0_.country AS country_10, u0_.postal_code AS postal_code_11, u0_.roles AS roles_12, u0_.password AS password_13, u0_.salt AS salt_14, u0_.account_status AS account_status_15, u0_.is_activated AS is_activated_16, u0_.is_verified AS is_verified_17, u0_.created_at AS created_at_18, u0_.updated_at AS updated_at_19, u0_.bio AS bio_20, u0_.thumbnail AS thumbnail_21, d1_.clinic_name AS clinic_name_22, d1_.clinic_address AS clinic_address_23, d1_.services AS services_24, d1_.ip_address AS ip_address_25, d1_.pricing AS pricing_26, d1_.longitude AS longitude_27, d1_.latitude AS latitude_28, d1_.whatsapp_number AS whatsapp_number_29, SUM(r2_.rating) AS sclr_30, COUNT(r2_.id) AS sclr_31, u0_.user_type AS user_type_32 FROM doctor d1_ INNER JOIN users u0_ ON d1_.id = u0_.id LEFT JOIN review r2_ ON d1_.id = r2_.doctor_id GROUP BY u0_.id, u0_.username, u0_.firstname, u0_.lastname, u0_.gender, u0_.dob, u0_.contact_number, u0_.email, u0_.address, u0_.city, u0_.country, u0_.postal_code, u0_.roles, u0_.password, u0_.salt, u0_.account_status, u0_.is_activated, u0_.is_verified, u0_.created_at, u0_.updated_at, u0_.bio, u0_.thumbnail, d1_.clinic_name, d1_.clinic_address, d1_.services, d1_.ip_address, d1_.pricing, d1_.longitude, d1_.latitude, d1_.whatsapp_number, d1_.pricing_plan_id) dctrn_table;

SELECT
  t0.id AS id_1,
  t0.name AS name_2,
  t0.description AS description_3,
  t0.code AS code_4,
  t0.created_at AS created_at_5
FROM
  specialty t0
  INNER JOIN doctor_specialty ON t0.id = doctor_specialty.specialty_id
WHERE
  doctor_specialty.doctor_id = ?

SELECT t0.id AS id_1, t0.name AS name_2, t0.description AS description_3, t0.code AS code_4, t0.created_at AS created_at_5 FROM specialty t0 INNER JOIN doctor_specialty ON t0.id = doctor_specialty.specialty_id WHERE doctor_specialty.doctor_id = 23;

SELECT
  t0.id AS id_1,
  t0.name AS name_2,
  t0.description AS description_3,
  t0.code AS code_4,
  t0.created_at AS created_at_5
FROM
  specialty t0
  INNER JOIN doctor_specialty ON t0.id = doctor_specialty.specialty_id
WHERE
  doctor_specialty.doctor_id = ?

SELECT t0.id AS id_1, t0.name AS name_2, t0.description AS description_3, t0.code AS code_4, t0.created_at AS created_at_5 FROM specialty t0 INNER JOIN doctor_specialty ON t0.id = doctor_specialty.specialty_id WHERE doctor_specialty.doctor_id = 35;

SELECT
  t0.id AS id_1,
  t0.name AS name_2,
  t0.description AS description_3,
  t0.code AS code_4,
  t0.created_at AS created_at_5
FROM
  specialty t0
  INNER JOIN doctor_specialty ON t0.id = doctor_specialty.specialty_id
WHERE
  doctor_specialty.doctor_id = ?

SELECT t0.id AS id_1, t0.name AS name_2, t0.description AS description_3, t0.code AS code_4, t0.created_at AS created_at_5 FROM specialty t0 INNER JOIN doctor_specialty ON t0.id = doctor_specialty.specialty_id WHERE doctor_specialty.doctor_id = 40;