GET https://dev.boaz-connect.fr/fr/place/demo-baignade/stats/refresh

Query Metrics

11 Database Queries
6 Different statements
95.63 ms Query time
2 Invalid entities
57 Managed entities

Queries

Group similar statements

# Time Info
1 1.58 ms
SELECT u0_.id AS id_0, u0_.email AS email_1, u0_.username AS username_2, u0_.role AS role_3, u0_.password AS password_4, u0_.firstname AS firstname_5, u0_.lastname AS lastname_6, u0_.position AS position_7, u0_.user AS user_8, u0_.active AS active_9, u0_.phone AS phone_10, u0_.picture AS picture_11, u0_.plain_password AS plain_password_12, u0_.deleted AS deleted_13, u0_.language AS language_14, u0_.type AS type_15, u0_.created_at AS created_at_16, u0_.updated_at AS updated_at_17, u0_.created_by AS created_by_18, u0_.updated_by AS updated_by_19, u0_.function_id AS function_id_20, u0_.company_id AS company_id_21 FROM user u0_ WHERE u0_.email = ? OR u0_.username = ?
Parameters:
[
  "exploitant.test@test.fr"
  "exploitant.test@test.fr"
]
2 0.96 ms
SELECT t0.id AS id_1, t0.name AS name_2, t0.slug AS slug_3, t0.city AS city_4, t0.country AS country_5, t0.postalcode AS postalcode_6, t0.address AS address_7, t0.active AS active_8, t0.latitude AS latitude_9, t0.longitude AS longitude_10, t0.webcam_url AS webcam_url_11, t0.weather_station_id AS weather_station_id_12, t0.water_station_id AS water_station_id_13, t0.opening_hours AS opening_hours_14, t0.max_people AS max_people_15, t0.picture AS picture_16, t0.strymo_station_id AS strymo_station_id_17, t0.jauge_url AS jauge_url_18, t0.preview_code AS preview_code_19, t0.control_code AS control_code_20, t0.link AS link_21, t0.boazcreate AS boazcreate_22, t0.pict3d AS pict3d_23, t0.drive_directory AS drive_directory_24, t0.opening_days AS opening_days_25, t0.created_at AS created_at_26, t0.updated_at AS updated_at_27, t0.created_by AS created_by_28, t0.updated_by AS updated_by_29, t0.client_id AS client_id_30 FROM place t0 WHERE t0.slug = ? LIMIT 1
Parameters:
[
  "demo-baignade"
]
3 0.48 ms
SELECT t0.id AS id_1, t0.name AS name_2, t0.slug AS slug_3, t0.unit AS unit_4, t0.description AS description_5, t0.category AS category_6, t0.strymo_id AS strymo_id_7, t0.type AS type_8 FROM parameter t0 WHERE t0.slug = ? AND t0.category = ? LIMIT 1
Parameters:
[
  "people"
  "place"
]
4 3.26 ms
SELECT m0_.id AS id_0, m0_.value AS value_1, m0_.raw AS raw_2, m0_.source AS source_3, m0_.timestamp AS timestamp_4, m0_.forecast AS forecast_5, m0_.strymo_id AS strymo_id_6, m0_.kind AS kind_7, m0_.day AS day_8, m0_.created_at AS created_at_9, m0_.updated_at AS updated_at_10, m0_.place_id AS place_id_11, m0_.parameter_id AS parameter_id_12, m0_.document_id AS document_id_13, m0_.report_id AS report_id_14 FROM metric m0_ WHERE m0_.parameter_id = ? AND m0_.place_id = ? AND m0_.value IS NOT NULL AND m0_.timestamp >= ? AND m0_.timestamp <= ? ORDER BY m0_.timestamp ASC
Parameters:
[
  10
  10
  1781647200
  1781719329
]
5 0.36 ms
SELECT t0.id AS id_1, t0.name AS name_2, t0.slug AS slug_3, t0.unit AS unit_4, t0.description AS description_5, t0.category AS category_6, t0.strymo_id AS strymo_id_7, t0.type AS type_8 FROM parameter t0 WHERE t0.slug = ? AND t0.category = ? LIMIT 1
Parameters:
[
  "people_total"
  "place"
]
6 1.02 ms
SELECT m0_.id AS id_0, m0_.value AS value_1, m0_.raw AS raw_2, m0_.source AS source_3, m0_.timestamp AS timestamp_4, m0_.forecast AS forecast_5, m0_.strymo_id AS strymo_id_6, m0_.kind AS kind_7, m0_.day AS day_8, m0_.created_at AS created_at_9, m0_.updated_at AS updated_at_10, m0_.place_id AS place_id_11, m0_.parameter_id AS parameter_id_12, m0_.document_id AS document_id_13, m0_.report_id AS report_id_14 FROM metric m0_ WHERE m0_.parameter_id = ? AND m0_.place_id = ? AND m0_.value IS NOT NULL AND m0_.timestamp >= ? AND m0_.timestamp <= ? ORDER BY m0_.timestamp ASC
Parameters:
[
  28
  10
  1781647200
  1781719329
]
7 0.58 ms
SELECT m0_.id AS id_0, m0_.value AS value_1, m0_.raw AS raw_2, m0_.source AS source_3, m0_.timestamp AS timestamp_4, m0_.forecast AS forecast_5, m0_.strymo_id AS strymo_id_6, m0_.kind AS kind_7, m0_.day AS day_8, m0_.created_at AS created_at_9, m0_.updated_at AS updated_at_10, m0_.place_id AS place_id_11, m0_.parameter_id AS parameter_id_12, m0_.document_id AS document_id_13, m0_.report_id AS report_id_14 FROM metric m0_ WHERE m0_.parameter_id = ? AND m0_.place_id = ? AND m0_.value IS NOT NULL AND m0_.timestamp >= ? AND m0_.timestamp <= ? ORDER BY m0_.timestamp ASC
Parameters:
[
  28
  10
  1780264800
  1781719329
]
8 45.10 ms
SELECT m0_.id AS id_0, m0_.value AS value_1, m0_.raw AS raw_2, m0_.source AS source_3, m0_.timestamp AS timestamp_4, m0_.forecast AS forecast_5, m0_.strymo_id AS strymo_id_6, m0_.kind AS kind_7, m0_.day AS day_8, m0_.created_at AS created_at_9, m0_.updated_at AS updated_at_10, m0_.place_id AS place_id_11, m0_.parameter_id AS parameter_id_12, m0_.document_id AS document_id_13, m0_.report_id AS report_id_14 FROM metric m0_ INNER JOIN parameter p1_ ON m0_.parameter_id = p1_.id WHERE m0_.place_id = ? AND p1_.id = ? AND m0_.kind = ? AND m0_.forecast >= ? AND m0_.forecast <= ? AND m0_.value IS NOT NULL ORDER BY m0_.forecast ASC
Parameters:
[
  10
  27
  "daily"
  "2026-06-01 00:00:00"
  "2026-06-17 20:02:09"
]
9 0.65 ms
SELECT t0.id AS id_1, t0.name AS name_2, t0.slug AS slug_3, t0.unit AS unit_4, t0.description AS description_5, t0.category AS category_6, t0.strymo_id AS strymo_id_7, t0.type AS type_8 FROM parameter t0 WHERE t0.slug = ? AND t0.category = ? LIMIT 1
Parameters:
[
  "weather_code"
  "weather"
]
10 40.04 ms
SELECT m0_.id AS id_0, m0_.value AS value_1, m0_.raw AS raw_2, m0_.source AS source_3, m0_.timestamp AS timestamp_4, m0_.forecast AS forecast_5, m0_.strymo_id AS strymo_id_6, m0_.kind AS kind_7, m0_.day AS day_8, m0_.created_at AS created_at_9, m0_.updated_at AS updated_at_10, m0_.place_id AS place_id_11, m0_.parameter_id AS parameter_id_12, m0_.document_id AS document_id_13, m0_.report_id AS report_id_14 FROM metric m0_ INNER JOIN parameter p1_ ON m0_.parameter_id = p1_.id WHERE m0_.place_id = ? AND p1_.id = ? AND m0_.kind = ? AND m0_.forecast >= ? AND m0_.forecast <= ? AND m0_.value IS NOT NULL ORDER BY m0_.forecast ASC
Parameters:
[
  10
  27
  "daily"
  "2026-06-01 00:00:00"
  "2026-06-17 20:02:09"
]
11 1.60 ms
SELECT s0_.id AS id_0, s0_.value AS value_1, s0_.role AS role_2, s0_.day AS day_3, s0_.created_at AS created_at_4, s0_.updated_at AS updated_at_5, s0_.created_by AS created_by_6, s0_.updated_by AS updated_by_7, s0_.place_id AS place_id_8, s0_.user_id AS user_id_9, s0_.profile_id AS profile_id_10 FROM status s0_ WHERE s0_.place_id = ? AND s0_.updated_at >= ? AND s0_.updated_at < ? ORDER BY s0_.updated_at ASC
Parameters:
[
  10
  "2026-06-01 00:00:00"
  "2026-06-17 20:02:09"
]

Database Connections

Name Service
default doctrine.dbal.default_connection

Entity Managers

Name Service
default doctrine.orm.default_entity_manager

Second Level Cache

Second Level Cache is not enabled.

Managed Entities

default entity manager

Class Amount of managed objects
App\Entity\Status 24
App\Entity\Metric 21
App\Entity\User 5
App\Entity\Parameter 3
App\Entity\Taxonomy 2
App\Entity\Place 1
App\Entity\Client 1

Entities Mapping

Class Mapping errors
App\Entity\User No errors.
App\Entity\Taxonomy No errors.
App\Entity\Company No errors.
App\Entity\Place
  • The association App\Entity\Place#category refers to the inverse side field App\Entity\Taxonomy#places which does not exist.
App\Entity\Message No errors.
App\Entity\Notification No errors.
App\Entity\Document No errors.
App\Entity\Client No errors.
App\Entity\Report
  • The field App\Entity\Report#taskDones is on the inverse side of a bi-directional relationship, but the specified mappedBy association on the target-entity App\Entity\TaskDone#report does not contain the required 'inversedBy: "taskDones"' attribute.
App\Entity\Water No errors.
App\Entity\Weather No errors.
App\Entity\Status No errors.
App\Entity\Webcam No errors.
App\Entity\Metric No errors.
App\Entity\Widget No errors.
App\Entity\Structure No errors.
App\Entity\News No errors.
App\Entity\Parameter No errors.