Service etudiant à 59990 Estreux

1. 0.0001

   SELECT cate_title_slug FROM category WHERE fami_id IN (3,5) AND cate_title_slug<>'' AND cate_title_slug IS NOT NULL

2. 0.0001

   SELECT cate_id FROM category WHERE fami_id='3' AND cate_title_slug='babysitting'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=39

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('59' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='59990' AND ville_nom like '%estreux%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0006

   SELECT DISTINCT ssrubr_slug FROM ssrubr WHERE ssrubr_visu=1 AND fami_id IN (3,5) AND ssrubr_slug IS NOT NULL AND ssrubr_slug<>''

7. 0.0001

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%etudiant%' OR ssrubr_title like '%etudiant%' OR ssrubr_slug like '%etudiant%') AND cate_id='39' ORDER BY ssrubr_id LIMIT 0,1

8. 0.0001

   SHOW TABLES LIKE 'pays'

9. 0.0002

   SHOW COLUMNS FROM pays LIKE 'pays_tel_%'

10. 0.0002

    SELECT pays_code, pays_nom, pays_actif, pays_NDD, pays_drapeau, pays_lang, pays_tel, pays_nb_annonces, pays_tel_masque, pays_tel_max, pays_tel_fmt_paires, pays_tel_mode FROM pays ORDER BY pays_nom ASC

11. 0.0001

    SELECT ville_cp, ville_latitude_deg,ville_longitude_deg FROM villes v WHERE ville_cp='59990'

12. 0.0024

    SELECT ville_cp, ROUND((((acos(sin((50.3167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.56667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.136835678816 AND ville_latitude_deg<50.496564321184 AND ville_longitude_deg>3.2849905104031 AND ville_longitude_deg<3.8483494895969 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='étudiant'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='39'AND MATCH (wish_title,wish_desc) AGAINST ('+étudiant*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '59990%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=39

16. 0.0001

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='étudiant' OR ssrubr_slug='étudiant' OR (ssrubr_title like '%étudiant%')) AND cate_id='39' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='etudiant' AND cate_id='39'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59990'

19. 0.0023

    SELECT ville_cp, ROUND((((acos(sin((50.3167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.56667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.136835678816 AND ville_latitude_deg<50.496564321184 AND ville_longitude_deg>3.2849905104031 AND ville_longitude_deg<3.8483494895969 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0136

    SELECT ville_cp, ROUND((((acos(sin((50.3167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.56667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.867039197041 AND ville_latitude_deg<50.766360802959 AND ville_longitude_deg>2.8624652035945 AND ville_longitude_deg<4.2708747964055 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0489

    SELECT wish.*, ui.util_photo, ui.util_prenom, ui.util_nom, ui.stripe_account_id, ui.util_verify, ville_cp,ville_nom,ville_latitude_deg,ville_longitude_deg, ROUND((((acos(sin((50.3167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.56667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM wish LEFT JOIN util_info ui ON wish.util_id=ui.util_id LEFT JOIN villes v ON wish.wish_cp=v.ville_cp WHERE wish_id IS NOT NULL AND fami_id='3' AND cate_id='39' AND MATCH (wish_desc) AGAINST ('(+étudiant*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (59990,59990,59990,59269,59990,59990,59300,59300,59144,59269,59770,59300,59990,59530,59269,59530,59880,59125,59144,59233,59213,59990,59174,59144,59213,59410,59530,59144,59264,59860,59213,59213,59224,59494,59990,59227,59243,59144,59121,59224,59192,59530,59195,59144,7387,59213,59213,59530,59121,59590,59494,59220,7387,7387,59530,59530,59195,59920,59530,59530,7387,59570,59220,59135,59278,59970,59730,59530,7387,59144,7380,7387,7387,59255,59144,59530,59227,59227,59154,59530,59294,59570,59198,59970,59570,59218,59218,7380,59135,7387,59220,59570,59282,59730,59218,7382,59282,59570,59570,59163,59970,59163,59218,59296,59293,59171,7370,7350,59570,59156,59188,7387,59124,59570,59530,59730,7387,59163,59730,59530,59230,7370,59188,59570,59111,7387,59172,59730,7350,59530,59570,59199,59178,59188,59199,7370,59171,59178,7350,59730,59288,7370,59570,59111,59129,59292,7320,59222,59171,59111,59158,59230,59222,7350,59570,59215,59172,59550,7322,59550,59222,59179,59214,59230,59271,59870) AND type_id=1 GROUP BY wish_id

22. 0.0001

    SELECT util_id, util_photo, util_prenom, util_nom, stripe_account_id, util_verify FROM util_info WHERE util_id IN (58895,68554,140133,291069,317187,407096,523959)

23. 0.0002

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 58895 AND W.type_id = 1) OR (W.util_id <> 58895 AND W.type_id = 2)) AND (M.post_util_id = 58895 OR M.dest_util_id = 58895) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

24. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=58895 AND note_visu IN (1,3,4)

25. 0.0001

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 68554 AND W.type_id = 1) OR (W.util_id <> 68554 AND W.type_id = 2)) AND (M.post_util_id = 68554 OR M.dest_util_id = 68554) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

26. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=68554 AND note_visu IN (1,3,4)

27. 0.0001

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 140133 AND W.type_id = 1) OR (W.util_id <> 140133 AND W.type_id = 2)) AND (M.post_util_id = 140133 OR M.dest_util_id = 140133) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

28. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=140133 AND note_visu IN (1,3,4)

29. 0.0001

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 291069 AND W.type_id = 1) OR (W.util_id <> 291069 AND W.type_id = 2)) AND (M.post_util_id = 291069 OR M.dest_util_id = 291069) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

30. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=291069 AND note_visu IN (1,3,4)

31. 0.0001

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 317187 AND W.type_id = 1) OR (W.util_id <> 317187 AND W.type_id = 2)) AND (M.post_util_id = 317187 OR M.dest_util_id = 317187) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

32. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=317187 AND note_visu IN (1,3,4)

33. 0.0001

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 407096 AND W.type_id = 1) OR (W.util_id <> 407096 AND W.type_id = 2)) AND (M.post_util_id = 407096 OR M.dest_util_id = 407096) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

34. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=407096 AND note_visu IN (1,3,4)

35. 0.0001

    SELECT COALESCE(SUM(CASE WHEN M.match_step <> 3 THEN 1 ELSE 0 END), 0) AS h, COALESCE(SUM(CASE WHEN M.match_step = 3 THEN 1 ELSE 0 END), 0) AS cancelled FROM `match` AS M INNER JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 523959 AND W.type_id = 1) OR (W.util_id <> 523959 AND W.type_id = 2)) AND (M.post_util_id = 523959 OR M.dest_util_id = 523959) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

36. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=523959 AND note_visu IN (1,3,4)

37. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59990'

38. 0.002

    SELECT ville_cp, ROUND((((acos(sin((50.3167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.56667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.136835678816 AND ville_latitude_deg<50.496564321184 AND ville_longitude_deg>3.2849905104031 AND ville_longitude_deg<3.8483494895969 HAVING distance <= 20 ORDER BY distance ASC

39. 0.014

    SELECT ville_cp, ROUND((((acos(sin((50.3167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.56667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.867039197041 AND ville_latitude_deg<50.766360802959 AND ville_longitude_deg>2.8624652035945 AND ville_longitude_deg<4.2708747964055 HAVING distance <= 50 ORDER BY distance ASC

40. 0.0001

    SELECT ssr.ssrubr_id, ssr.ssrubr_slug, ssr.ssrubr_mail, ssr.ssrubr_mail_bis, ssr.ssrubr_keywords, ssr.ssrubr_bt2, ssr.ssrubr_photo, c.cate_title_slug, f.fami_url FROM ssrubr ssr, category c, family f WHERE ssr.cate_id=c.cate_id AND c.fami_id=f.fami_id AND ssr.ssrubr_id IN (939,1008)

41. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (291069,58895,523959,140133,68554,407096,317187)

42. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (291069,58895,523959,140133,68554,407096,317187)

43. 0.0001

    SELECT ss.fami_id, fami_url, ss.cate_id, cate_title_slug, keywords_title FROM `ssrubr_keywords` sk, ssrubr ss, category c, family f WHERE sk.ssrubr_id=ss.ssrubr_id AND ss.cate_id=c.cate_id AND c.fami_id=f.fami_id AND (ssrubr_slug='étudiant' OR ssrubr_slug like '%étudiant%' OR MATCH (ssrubr_slug) AGAINST ('(+étudiant)')) AND sk.ssrubr_id='939' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

44. 0.0001

    SELECT ss.ssrubr_id, ss.ssrubr_slug, ss.ssrubr_title, ss.ssrubr_keywords, ss.ssrubr_mail, c.cate_title_slug FROM ssrubr ss INNER JOIN category c ON ss.cate_id = c.cate_id WHERE ss.ssrubr_visu = 1 AND ss.fami_id = 3 AND ss.cate_id = 39 AND ss.ssrubr_id <> 939 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

45. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='939' AND actu_niveau=0 ORDER BY actu_ordre DESC

46. 0

    SELECT fami_id as id, fami_title as title, fami_tutotitle, fami_tutodesc, fami_buttontitle, fami_url as slug FROM `family`

47. 0.0001

    SELECT cate_id as id, cate_title as title, cate_title_slug as slug, fami_id FROM `category` WHERE cate_visu=1 AND fami_id='3' AND cate_cate_id IS NULL ORDER BY cate_order ASC

48. 0.0001

    SELECT ssrubr_id AS id, ssrubr_title as title, ssrubr_slug as slug, ssrubr_photo, cate_id, fami_id FROM ssrubr WHERE ssrubr_visu=1 AND cate_id IN (39) ORDER BY ssrubr_order ASC

49. 0.001

    SELECT AVG(note) as note_moy FROM note WHERE note_visu IN (1,2,3,4) AND post_util_id<>7

50. 0.0254

    SELECT COUNT(*) AS nbavis FROM note n INNER JOIN util_info dest ON n.dest_util_id=dest.util_id INNER JOIN util_info post ON n.post_util_id=post.util_id INNER JOIN wish w ON n.wish_id=w.wish_id WHERE n.note_visu IN (1,2,3,4) AND n.post_util_id<>'7'

51. 0.0252

    SELECT count(*) as nbwish FROM wish WHERE wish_visu IN (1,6,10)

51 requetes sql en 0.1398