Service garde chien à 59253 La gorgue

1. 0.0002

   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='garde-d-animaux'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=45

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='59253' AND ville_nom like '%la%gorgue%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0004

   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 '%chien%' OR ssrubr_title like '%chien%' OR ssrubr_slug like '%chien%') AND cate_id='45' 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='59253'

12. 0.0023

    SELECT ville_cp, ROUND((((acos(sin((50.6333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.6333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.7- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.453435678816 AND ville_latitude_deg<50.813164321184 AND ville_longitude_deg>2.4164276838407 AND ville_longitude_deg<2.9835723161593 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='chien; pet sitter; petsitter; garde animaux'

14. 0.0001

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='45' AND ssrubr_id='951' AND wish_visu IN (1,6,10) AND wish_cp like '59253%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=45

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='chien; pet sitter; petsitter; garde animaux' OR ssrubr_slug='chien;-pet-sitter;-petsitter;-garde-animaux' OR (ssrubr_title like '%chien; pet sitter; petsitter; garde animaux%')) AND cate_id='45' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='chien' AND cate_id='45'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59253'

19. 0.002

    SELECT ville_cp, ROUND((((acos(sin((50.6333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.6333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.7- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.453435678816 AND ville_latitude_deg<50.813164321184 AND ville_longitude_deg>2.4164276838407 AND ville_longitude_deg<2.9835723161593 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0063

    SELECT ville_cp, ROUND((((acos(sin((50.6333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.6333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.7- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.183639197041 AND ville_latitude_deg<51.082960802959 AND ville_longitude_deg>1.9910630963833 AND ville_longitude_deg<3.4089369036167 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0081

    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((50.6333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.6333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.7- 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='45' AND ssrubr_id='951' AND wish_visu IN (1,6,10) AND wish_cp IN (59253,59253,59940,62136,59940,62840,59660,62840,62136,59940,62136,62350,62136,62400,62840,59232,59181,62232,62840,62149,62400,59270,62840,62350,62350,62350,59249,59270,62350,59270,59249,59270,62920,62350,59193,62920,59850,59480,62400,62149,62232,62232,62138,59134,62660,59280,59134,59190,59480,62149,59270,59190,59134,59280,62350,59134,62138,62232,59496,62920,62138,62232,59190,62113,62113,62149,59270,59190,59190,59274,62113,62149,59930,62199,62330,59320,7783,62131,62131,8950,59189,59134,8951,62138,62122,59496,62131,7782,62196,59189,59320,59320,59270,62980,62290,62980,59184,59116,59136,62190,8958,62190,62138,62122,59320,62620,59840,8952,62330,59272,62157,59189,59211,8950,59114,59114,59221,59320,8954,62670,59299,62410,59320,59270,59236,59190,59160,8956,59173,62190,62410,59840,62540,59190,62540,62410,62410,59112,62151) 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 (48165,87299,150588,151201,199258,252947,283400,310169,341679,363351,467191,478592,490821,524545,548822)

23. 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 = 48165 AND W.type_id = 1) OR (W.util_id <> 48165 AND W.type_id = 2)) AND (M.post_util_id = 48165 OR M.dest_util_id = 48165) 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=48165 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 = 87299 AND W.type_id = 1) OR (W.util_id <> 87299 AND W.type_id = 2)) AND (M.post_util_id = 87299 OR M.dest_util_id = 87299) 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=87299 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 = 150588 AND W.type_id = 1) OR (W.util_id <> 150588 AND W.type_id = 2)) AND (M.post_util_id = 150588 OR M.dest_util_id = 150588) 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=150588 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 = 151201 AND W.type_id = 1) OR (W.util_id <> 151201 AND W.type_id = 2)) AND (M.post_util_id = 151201 OR M.dest_util_id = 151201) 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=151201 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 = 199258 AND W.type_id = 1) OR (W.util_id <> 199258 AND W.type_id = 2)) AND (M.post_util_id = 199258 OR M.dest_util_id = 199258) 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=199258 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 = 252947 AND W.type_id = 1) OR (W.util_id <> 252947 AND W.type_id = 2)) AND (M.post_util_id = 252947 OR M.dest_util_id = 252947) 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=252947 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 = 283400 AND W.type_id = 1) OR (W.util_id <> 283400 AND W.type_id = 2)) AND (M.post_util_id = 283400 OR M.dest_util_id = 283400) 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=283400 AND note_visu IN (1,3,4)

37. 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 = 310169 AND W.type_id = 1) OR (W.util_id <> 310169 AND W.type_id = 2)) AND (M.post_util_id = 310169 OR M.dest_util_id = 310169) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

38. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=310169 AND note_visu IN (1,3,4)

39. 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 = 341679 AND W.type_id = 1) OR (W.util_id <> 341679 AND W.type_id = 2)) AND (M.post_util_id = 341679 OR M.dest_util_id = 341679) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

40. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=341679 AND note_visu IN (1,3,4)

41. 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 = 363351 AND W.type_id = 1) OR (W.util_id <> 363351 AND W.type_id = 2)) AND (M.post_util_id = 363351 OR M.dest_util_id = 363351) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

42. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=363351 AND note_visu IN (1,3,4)

43. 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 = 467191 AND W.type_id = 1) OR (W.util_id <> 467191 AND W.type_id = 2)) AND (M.post_util_id = 467191 OR M.dest_util_id = 467191) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

44. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=467191 AND note_visu IN (1,3,4)

45. 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 = 478592 AND W.type_id = 1) OR (W.util_id <> 478592 AND W.type_id = 2)) AND (M.post_util_id = 478592 OR M.dest_util_id = 478592) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

46. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=478592 AND note_visu IN (1,3,4)

47. 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 = 490821 AND W.type_id = 1) OR (W.util_id <> 490821 AND W.type_id = 2)) AND (M.post_util_id = 490821 OR M.dest_util_id = 490821) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

48. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=490821 AND note_visu IN (1,3,4)

49. 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 = 524545 AND W.type_id = 1) OR (W.util_id <> 524545 AND W.type_id = 2)) AND (M.post_util_id = 524545 OR M.dest_util_id = 524545) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

50. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=524545 AND note_visu IN (1,3,4)

51. 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 = 548822 AND W.type_id = 1) OR (W.util_id <> 548822 AND W.type_id = 2)) AND (M.post_util_id = 548822 OR M.dest_util_id = 548822) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

52. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=548822 AND note_visu IN (1,3,4)

53. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59253'

54. 0.0018

    SELECT ville_cp, ROUND((((acos(sin((50.6333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.6333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.7- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.453435678816 AND ville_latitude_deg<50.813164321184 AND ville_longitude_deg>2.4164276838407 AND ville_longitude_deg<2.9835723161593 HAVING distance <= 20 ORDER BY distance ASC

55. 0.0063

    SELECT ville_cp, ROUND((((acos(sin((50.6333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.6333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.7- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.183639197041 AND ville_latitude_deg<51.082960802959 AND ville_longitude_deg>1.9910630963833 AND ville_longitude_deg<3.4089369036167 HAVING distance <= 50 ORDER BY distance ASC

56. 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 (951)

57. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (490821,151201,87299,478592,252947,283400,524545,548822,363351,341679,199258,310169,150588,467191,48165)

58. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (490821,151201,87299,478592,252947,283400,524545,548822,363351,341679,199258,310169,150588,467191,48165)

59. 0.0002

    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='chien; pet sitter; petsitter; garde animaux' OR ssrubr_slug like '%chien; pet sitter; petsitter; garde animaux%' OR MATCH (ssrubr_slug) AGAINST ('(+chien; +pet +sitter; +petsitter; +garde +animaux)')) AND sk.ssrubr_id='951' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

60. 0.0002

    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 = 45 AND ss.ssrubr_id <> 951 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

61. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='951' AND actu_niveau=0 ORDER BY actu_ordre DESC

62. 0.0001

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

63. 0.0002

    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

64. 0.0002

    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 (45) ORDER BY ssrubr_order ASC

65. 0.001

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

66. 0.0244

    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'

67. 0.0168

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

67 requetes sql en 0.0759