173.13 ms (53.76%)
1
SELECT c0_ . id AS id_0 , c0_ . name AS name_1 , c0_ . slug AS slug_2 , c0_ . description AS description_3 , c0_ . coat_of_arms AS coat_of_arms_4 , c0_ . latitude AS latitude_5 , c0_ . longitude AS longitude_6 , c0_ . borough_id AS borough_id_7 , c0_ . department_id AS department_id_8 FROM city c0_ WHERE (6371 * ACOS (COS (RADIANS (? )) * COS (RADIANS (c0_ . latitude )) * COS (RADIANS (c0_ . longitude ) - RADIANS (? )) + SIN (RADIANS (? )) * SIN (RADIANS (c0_ . latitude )))) < ?
Parameters :
[
"48.6616923 "
"6.1287873 "
"48.6616923 "
5
]
SELECT c0_ . id AS id_0 , c0_ . name AS name_1 , c0_ . slug AS slug_2 , c0_ . description AS description_3 , c0_ . coat_of_arms AS coat_of_arms_4 , c0_ . latitude AS latitude_5 , c0_ . longitude AS longitude_6 , c0_ . borough_id AS borough_id_7 , c0_ . department_id AS department_id_8 FROM city c0_ WHERE (6371 * ACOS (COS (RADIANS ('48.6616923' )) * COS (RADIANS (c0_ . latitude )) * COS (RADIANS (c0_ . longitude ) - RADIANS ('6.1287873' )) + SIN (RADIANS ('48.6616923' )) * SIN (RADIANS (c0_ . latitude )))) < 5 ;
Copy
47.17 ms (14.65%)
1
SELECT s0_ . id AS id_0 , s0_ . name AS name_1 , s0_ . slug AS slug_2 , s0_ . slogan AS slogan_3 , s0_ . color AS color_4 , s0_ . resident AS resident_5 , s0_ . network AS network_6 , s0_ . is_created AS is_created_7 , s0_ . is_activated AS is_activated_8 , s0_ . created_at AS created_at_9 , s0_ . data AS data_10 , s0_ . legal AS legal_11 , s0_ . wallpaper AS wallpaper_12 , s0_ . statistical AS statistical_13 , s0_ . manager_id AS manager_id_14 , s0_ . main_borough_id AS main_borough_id_15 FROM subdomain s0_ INNER JOIN subdomain_borough s2_ ON s0_ . id = s2_ . subdomain_id INNER JOIN borough b1_ ON b1_ . id = s2_ . borough_id INNER JOIN city c3_ ON b1_ . id = c3_ . borough_id INNER JOIN event e4_ ON c3_ . id = e4_ . city_id WHERE e4_ . date_end > = ? GROUP BY s0_ . id HAVING COUNT (e4_ . id ) > 0 ORDER BY COUNT (e4_ . id ) DESC
Parameters :
[
"2026-08-14 "
]
SELECT s0_ . id AS id_0 , s0_ . name AS name_1 , s0_ . slug AS slug_2 , s0_ . slogan AS slogan_3 , s0_ . color AS color_4 , s0_ . resident AS resident_5 , s0_ . network AS network_6 , s0_ . is_created AS is_created_7 , s0_ . is_activated AS is_activated_8 , s0_ . created_at AS created_at_9 , s0_ . data AS data_10 , s0_ . legal AS legal_11 , s0_ . wallpaper AS wallpaper_12 , s0_ . statistical AS statistical_13 , s0_ . manager_id AS manager_id_14 , s0_ . main_borough_id AS main_borough_id_15 FROM subdomain s0_ INNER JOIN subdomain_borough s2_ ON s0_ . id = s2_ . subdomain_id INNER JOIN borough b1_ ON b1_ . id = s2_ . borough_id INNER JOIN city c3_ ON b1_ . id = c3_ . borough_id INNER JOIN event e4_ ON c3_ . id = e4_ . city_id WHERE e4_ . date_end > = '2026-08-14' GROUP BY s0_ . id HAVING COUNT (e4_ . id ) > 0 ORDER BY COUNT (e4_ . id ) DESC ;
Copy
43.92 ms (13.64%)
5
SELECT t0 . id AS id_1 , t0 . name AS name_2 , t0 . slug AS slug_3 , t0 . description AS description_4 , t0 . coat_of_arms AS coat_of_arms_5 , t0 . latitude AS latitude_6 , t0 . longitude AS longitude_7 , t0 . borough_id AS borough_id_8 , t0 . department_id AS department_id_9 FROM city t0 WHERE t0 . slug = ? LIMIT 1
Parameters :
[
"villers-les-nancy "
]
SELECT t0 . id AS id_1 , t0 . name AS name_2 , t0 . slug AS slug_3 , t0 . description AS description_4 , t0 . coat_of_arms AS coat_of_arms_5 , t0 . latitude AS latitude_6 , t0 . longitude AS longitude_7 , t0 . borough_id AS borough_id_8 , t0 . department_id AS department_id_9 FROM city t0 WHERE t0 . slug = 'villers-les-nancy' LIMIT 1 ;
Copy
18.94 ms (5.88%)
1
SELECT p0_ . slug AS slug_0 , p0_ . title AS title_1 FROM place p0_ LEFT JOIN city c1_ ON p0_ . city_id = c1_ . id LEFT JOIN borough b2_ ON c1_ . borough_id = b2_ . id LEFT JOIN subdomain_borough s4_ ON b2_ . id = s4_ . borough_id LEFT JOIN subdomain s3_ ON s3_ . id = s4_ . subdomain_id WHERE (EXISTS (SELECT e5_ . id FROM event e5_ WHERE e5_ . place_id = p0_ . id AND e5_ . is_published = 1 AND e5_ . is_validated = 1 AND e5_ . date_end > = ? )) AND s3_ . slug = ? ORDER BY p0_ . title ASC LIMIT 300
Parameters :
[
"2026-08-14 00:00:00 "
"nancy "
]
SELECT p0_ . slug AS slug_0 , p0_ . title AS title_1 FROM place p0_ LEFT JOIN city c1_ ON p0_ . city_id = c1_ . id LEFT JOIN borough b2_ ON c1_ . borough_id = b2_ . id LEFT JOIN subdomain_borough s4_ ON b2_ . id = s4_ . borough_id LEFT JOIN subdomain s3_ ON s3_ . id = s4_ . subdomain_id WHERE (EXISTS (SELECT e5_ . id FROM event e5_ WHERE e5_ . place_id = p0_ . id AND e5_ . is_published = 1 AND e5_ . is_validated = 1 AND e5_ . date_end > = '2026-08-14 00:00:00' )) AND s3_ . slug = 'nancy' ORDER BY p0_ . title ASC LIMIT 300 ;
Copy
16.66 ms (5.17%)
8
SELECT t0 . id AS id_1 , t0 . name AS name_2 , t0 . slug AS slug_3 , t0 . slogan AS slogan_4 , t0 . color AS color_5 , t0 . resident AS resident_6 , t0 . network AS network_7 , t0 . is_created AS is_created_8 , t0 . is_activated AS is_activated_9 , t0 . created_at AS created_at_10 , t0 . data AS data_11 , t0 . legal AS legal_12 , t0 . wallpaper AS wallpaper_13 , t0 . statistical AS statistical_14 , t0 . manager_id AS manager_id_15 , t0 . main_borough_id AS main_borough_id_16 FROM subdomain t0 WHERE t0 . slug = ? LIMIT 1
SELECT t0 . id AS id_1 , t0 . name AS name_2 , t0 . slug AS slug_3 , t0 . slogan AS slogan_4 , t0 . color AS color_5 , t0 . resident AS resident_6 , t0 . network AS network_7 , t0 . is_created AS is_created_8 , t0 . is_activated AS is_activated_9 , t0 . created_at AS created_at_10 , t0 . data AS data_11 , t0 . legal AS legal_12 , t0 . wallpaper AS wallpaper_13 , t0 . statistical AS statistical_14 , t0 . manager_id AS manager_id_15 , t0 . main_borough_id AS main_borough_id_16 FROM subdomain t0 WHERE t0 . slug = 'nancy' LIMIT 1 ;
Copy
14.30 ms (4.44%)
1
SELECT c0_ . slug AS slug_0 , c0_ . name AS name_1 FROM city c0_ INNER JOIN event e1_ ON c0_ . id = e1_ . city_id LEFT JOIN borough b2_ ON c0_ . borough_id = b2_ . id LEFT JOIN subdomain_borough s4_ ON b2_ . id = s4_ . borough_id LEFT JOIN subdomain s3_ ON s3_ . id = s4_ . subdomain_id WHERE e1_ . is_published = 1 AND e1_ . is_validated = 1 AND e1_ . date_end > = ? AND s3_ . slug = ? GROUP BY c0_ . id ORDER BY c0_ . name ASC LIMIT 300
Parameters :
[
"2026-08-14 "
"nancy "
]
SELECT c0_ . slug AS slug_0 , c0_ . name AS name_1 FROM city c0_ INNER JOIN event e1_ ON c0_ . id = e1_ . city_id LEFT JOIN borough b2_ ON c0_ . borough_id = b2_ . id LEFT JOIN subdomain_borough s4_ ON b2_ . id = s4_ . borough_id LEFT JOIN subdomain s3_ ON s3_ . id = s4_ . subdomain_id WHERE e1_ . is_published = 1 AND e1_ . is_validated = 1 AND e1_ . date_end > = '2026-08-14' AND s3_ . slug = 'nancy' GROUP BY c0_ . id ORDER BY c0_ . name ASC LIMIT 300 ;
Copy
3.57 ms (1.11%)
1
SELECT COUNT (DISTINCT e0_ . id ) AS sclr_0 FROM event e0_ LEFT JOIN rubric r1_ ON e0_ . rubric_id = r1_ . id LEFT JOIN place p2_ ON e0_ . place_id = p2_ . id LEFT JOIN city c3_ ON e0_ . city_id = c3_ . id LEFT JOIN city c4_ ON p2_ . city_id = c4_ . id LEFT JOIN borough b5_ ON c3_ . borough_id = b5_ . id LEFT JOIN subdomain_borough s7_ ON b5_ . id = s7_ . borough_id LEFT JOIN subdomain s6_ ON s6_ . id = s7_ . subdomain_id LEFT JOIN borough b8_ ON c4_ . borough_id = b8_ . id LEFT JOIN subdomain_borough s10_ ON b8_ . id = s10_ . borough_id LEFT JOIN subdomain s9_ ON s9_ . id = s10_ . subdomain_id WHERE e0_ . is_published = 1 AND e0_ . is_validated = 1 AND e0_ . date_start < = ? AND e0_ . date_end > = ? AND ((s6_ . slug = ? OR s9_ . slug = ? )) AND e0_ . date_end > = ? AND e0_ . city_id IN (? , ? , ? , ? , ? , ? , ? ) AND e0_ . date_start > = ?
Parameters :
[
"2026-09-13 "
"2026-08-14 "
"nancy "
"nancy "
"2026-08-14 "
1846
1858
2000
2038
2123
2271
2302
"2026-08-14 "
]
SELECT COUNT (DISTINCT e0_ . id ) AS sclr_0 FROM event e0_ LEFT JOIN rubric r1_ ON e0_ . rubric_id = r1_ . id LEFT JOIN place p2_ ON e0_ . place_id = p2_ . id LEFT JOIN city c3_ ON e0_ . city_id = c3_ . id LEFT JOIN city c4_ ON p2_ . city_id = c4_ . id LEFT JOIN borough b5_ ON c3_ . borough_id = b5_ . id LEFT JOIN subdomain_borough s7_ ON b5_ . id = s7_ . borough_id LEFT JOIN subdomain s6_ ON s6_ . id = s7_ . subdomain_id LEFT JOIN borough b8_ ON c4_ . borough_id = b8_ . id LEFT JOIN subdomain_borough s10_ ON b8_ . id = s10_ . borough_id LEFT JOIN subdomain s9_ ON s9_ . id = s10_ . subdomain_id WHERE e0_ . is_published = 1 AND e0_ . is_validated = 1 AND e0_ . date_start < = '2026-09-13' AND e0_ . date_end > = '2026-08-14' AND ((s6_ . slug = 'nancy' OR s9_ . slug = 'nancy' )) AND e0_ . date_end > = '2026-08-14' AND e0_ . city_id IN (1846 , 1858 , 2000 , 2038 , 2123 , 2271 , 2302 ) AND e0_ . date_start > = '2026-08-14' ;
Copy
2.79 ms (0.87%)
1
SELECT t0 . id AS id_1 , t0 . name AS name_2 , t0 . slug AS slug_3 , t0 . resident AS resident_4 , t0 . chief_town AS chief_town_5 , t0 . latitude AS latitude_6 , t0 . longitude AS longitude_7 , t0 . description AS description_8 , t0 . zoom AS zoom_9 , t0 . department_id AS department_id_10 , t11 . id AS id_12 , t11 . name AS name_13 , t11 . slug AS slug_14 , t11 . slogan AS slogan_15 , t11 . color AS color_16 , t11 . resident AS resident_17 , t11 . network AS network_18 , t11 . is_created AS is_created_19 , t11 . is_activated AS is_activated_20 , t11 . created_at AS created_at_21 , t11 . data AS data_22 , t11 . legal AS legal_23 , t11 . wallpaper AS wallpaper_24 , t11 . statistical AS statistical_25 , t11 . manager_id AS manager_id_26 , t11 . main_borough_id AS main_borough_id_27 FROM borough t0 LEFT JOIN subdomain t11 ON t11 . main_borough_id = t0 . id WHERE t0 . id = ?
SELECT t0 . id AS id_1 , t0 . name AS name_2 , t0 . slug AS slug_3 , t0 . resident AS resident_4 , t0 . chief_town AS chief_town_5 , t0 . latitude AS latitude_6 , t0 . longitude AS longitude_7 , t0 . description AS description_8 , t0 . zoom AS zoom_9 , t0 . department_id AS department_id_10 , t11 . id AS id_12 , t11 . name AS name_13 , t11 . slug AS slug_14 , t11 . slogan AS slogan_15 , t11 . color AS color_16 , t11 . resident AS resident_17 , t11 . network AS network_18 , t11 . is_created AS is_created_19 , t11 . is_activated AS is_activated_20 , t11 . created_at AS created_at_21 , t11 . data AS data_22 , t11 . legal AS legal_23 , t11 . wallpaper AS wallpaper_24 , t11 . statistical AS statistical_25 , t11 . manager_id AS manager_id_26 , t11 . main_borough_id AS main_borough_id_27 FROM borough t0 LEFT JOIN subdomain t11 ON t11 . main_borough_id = t0 . id WHERE t0 . id = 185 ;
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1.58 ms (0.49%)
1
SELECT t0 . id AS id_1 , t0 . name AS name_2 , t0 . slug AS slug_3 , t0 . slogan AS slogan_4 , t0 . color AS color_5 , t0 . resident AS resident_6 , t0 . network AS network_7 , t0 . is_created AS is_created_8 , t0 . is_activated AS is_activated_9 , t0 . created_at AS created_at_10 , t0 . data AS data_11 , t0 . legal AS legal_12 , t0 . wallpaper AS wallpaper_13 , t0 . statistical AS statistical_14 , t0 . manager_id AS manager_id_15 , t0 . main_borough_id AS main_borough_id_16 FROM subdomain t0 INNER JOIN subdomain_borough ON t0 . id = subdomain_borough . subdomain_id WHERE subdomain_borough . borough_id = ?
SELECT t0 . id AS id_1 , t0 . name AS name_2 , t0 . slug AS slug_3 , t0 . slogan AS slogan_4 , t0 . color AS color_5 , t0 . resident AS resident_6 , t0 . network AS network_7 , t0 . is_created AS is_created_8 , t0 . is_activated AS is_activated_9 , t0 . created_at AS created_at_10 , t0 . data AS data_11 , t0 . legal AS legal_12 , t0 . wallpaper AS wallpaper_13 , t0 . statistical AS statistical_14 , t0 . manager_id AS manager_id_15 , t0 . main_borough_id AS main_borough_id_16 FROM subdomain t0 INNER JOIN subdomain_borough ON t0 . id = subdomain_borough . subdomain_id WHERE subdomain_borough . borough_id = 185 ;
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