Service lavage auto à 78920 Ecquevilly

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='menage-repassage'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=47

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('78' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='78920' AND ville_nom like '%ecquevilly%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0005

   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 '%lavage%automobile%' OR ssrubr_title like '%lavage%automobile%' OR ssrubr_slug like '%lavage%automobile%') AND cate_id='47' 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. 0.0003

    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='78920'

12. 0.002

    SELECT ville_cp, ROUND((((acos(sin((48.95*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.95*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.91667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.770135678816 AND ville_latitude_deg<49.129864321184 AND ville_longitude_deg>1.6427856472466 AND ville_longitude_deg<2.1905543527534 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='lavage auto; lavage automobile'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='47' AND ssrubr_id='977' AND wish_visu IN (1,6,10) AND wish_cp like '78920%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=47

16. 0.0001

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='lavage auto; lavage automobile' OR ssrubr_slug='lavage-auto;-lavage-automobile' OR (ssrubr_title like '%lavage auto; lavage automobile%')) AND cate_id='47' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='lavage-automobile' AND cate_id='47'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='78920'

19. 0.002

    SELECT ville_cp, ROUND((((acos(sin((48.95*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.95*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.91667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.770135678816 AND ville_latitude_deg<49.129864321184 AND ville_longitude_deg>1.6427856472466 AND ville_longitude_deg<2.1905543527534 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0145

    SELECT ville_cp, ROUND((((acos(sin((48.95*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.95*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.91667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.500339197041 AND ville_latitude_deg<49.399660802959 AND ville_longitude_deg>1.2319532137498 AND ville_longitude_deg<2.6013867862502 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0039

    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((48.95*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.95*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.91667- 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='47' AND ssrubr_id='977' AND wish_visu IN (1,6,10) AND wish_cp IN (78920,78920,78410,78130,78630,78580,78410,78580,78410,78126,78540,78130,78250,78580,78670,78670,78410,78410,78480,78630,78580,78250,78124,78510,78680,78820,78250,78250,78121,78740,78740,78124,78955,78250,78970,95180,78440,78240,78570,78810,95450,95000,78300,95450,78810,78240,78770,78580,78250,95800,78440,78930,78260,78850,78440,95280,95450,78440,78570,78930,78650,78770,78450,78440,78440,78780,95490,78440,78770,78440,95450,78640,95000,78112,78770,95650,78860,78100,78770,95450,78930,78700,78520,78770,78750,78650,95000,78620,78790,78230,78790,78930,78711,78200,95450,95450,78640,78770,78440,78450,78370,78640,78930,78200,95450,78640,78440,95610,78160,78600,95650,95450,78340,78440,78590,78110,78930,78930,95650,95650,78490,95510,78590,78520,78790,78560,78870,95520,78600,95450,95450,78490,78200,78430,78910,95300,78910,78790,78360,78330,95420,95510,78790,78390,78200,78520,78290,95310,78380,95650,95450,95450,78760,95450,78400,78200,95300,95510,78200,78910,78990,78490,78490,95220,78790,78490,78490,78890,95420,95420,78910,78200,78500,95830,78190,78150,95530,78200,78200,95480,95370,78200,78420,95830,78490,78490,78940,78210) 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 (73585,116107,120998,159996,161674,177537,205352,210672,218178,220307,220481,256928,266782,358064,358934,361483,373781,399801,438961,476094,517738,525121,527385)

23. 0.0002

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24. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=73585 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 = 116107 AND W.type_id = 1) OR (W.util_id <> 116107 AND W.type_id = 2)) AND (M.post_util_id = 116107 OR M.dest_util_id = 116107) 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=116107 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 = 120998 AND W.type_id = 1) OR (W.util_id <> 120998 AND W.type_id = 2)) AND (M.post_util_id = 120998 OR M.dest_util_id = 120998) 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=120998 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 = 159996 AND W.type_id = 1) OR (W.util_id <> 159996 AND W.type_id = 2)) AND (M.post_util_id = 159996 OR M.dest_util_id = 159996) 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=159996 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 = 161674 AND W.type_id = 1) OR (W.util_id <> 161674 AND W.type_id = 2)) AND (M.post_util_id = 161674 OR M.dest_util_id = 161674) 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=161674 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 = 177537 AND W.type_id = 1) OR (W.util_id <> 177537 AND W.type_id = 2)) AND (M.post_util_id = 177537 OR M.dest_util_id = 177537) 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=177537 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 = 205352 AND W.type_id = 1) OR (W.util_id <> 205352 AND W.type_id = 2)) AND (M.post_util_id = 205352 OR M.dest_util_id = 205352) 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=205352 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 = 210672 AND W.type_id = 1) OR (W.util_id <> 210672 AND W.type_id = 2)) AND (M.post_util_id = 210672 OR M.dest_util_id = 210672) 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=210672 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 = 218178 AND W.type_id = 1) OR (W.util_id <> 218178 AND W.type_id = 2)) AND (M.post_util_id = 218178 OR M.dest_util_id = 218178) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

40. 0.0001

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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 = 220307 AND W.type_id = 1) OR (W.util_id <> 220307 AND W.type_id = 2)) AND (M.post_util_id = 220307 OR M.dest_util_id = 220307) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

42. 0.0001

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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 = 220481 AND W.type_id = 1) OR (W.util_id <> 220481 AND W.type_id = 2)) AND (M.post_util_id = 220481 OR M.dest_util_id = 220481) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

44. 0.0001

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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 = 256928 AND W.type_id = 1) OR (W.util_id <> 256928 AND W.type_id = 2)) AND (M.post_util_id = 256928 OR M.dest_util_id = 256928) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

46. 0.0001

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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 = 266782 AND W.type_id = 1) OR (W.util_id <> 266782 AND W.type_id = 2)) AND (M.post_util_id = 266782 OR M.dest_util_id = 266782) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

48. 0.0001

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49. 0.0001

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50. 0.0001

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51. 0.0001

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52. 0.0001

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53. 0.0001

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54. 0.0001

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55. 0.0002

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56. 0.0001

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57. 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 = 399801 AND W.type_id = 1) OR (W.util_id <> 399801 AND W.type_id = 2)) AND (M.post_util_id = 399801 OR M.dest_util_id = 399801) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

58. 0.0001

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59. 0.0001

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60. 0.0001

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61. 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 = 476094 AND W.type_id = 1) OR (W.util_id <> 476094 AND W.type_id = 2)) AND (M.post_util_id = 476094 OR M.dest_util_id = 476094) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

62. 0.0001

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63. 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 = 517738 AND W.type_id = 1) OR (W.util_id <> 517738 AND W.type_id = 2)) AND (M.post_util_id = 517738 OR M.dest_util_id = 517738) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

64. 0.0001

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65. 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 = 525121 AND W.type_id = 1) OR (W.util_id <> 525121 AND W.type_id = 2)) AND (M.post_util_id = 525121 OR M.dest_util_id = 525121) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

66. 0.0001

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67. 0.0002

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68. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=527385 AND note_visu IN (1,3,4)

69. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='78920'

70. 0.0028

    SELECT ville_cp, ROUND((((acos(sin((48.95*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.95*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.91667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.770135678816 AND ville_latitude_deg<49.129864321184 AND ville_longitude_deg>1.6427856472466 AND ville_longitude_deg<2.1905543527534 HAVING distance <= 20 ORDER BY distance ASC

71. 0.0206

    SELECT ville_cp, ROUND((((acos(sin((48.95*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.95*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.91667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.500339197041 AND ville_latitude_deg<49.399660802959 AND ville_longitude_deg>1.2319532137498 AND ville_longitude_deg<2.6013867862502 HAVING distance <= 50 ORDER BY distance ASC

72. 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 (977)

73. 0.0003

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (205352,177537,218178,373781,159996,358934,525121,161674,220307,210672,358064,361483,438961,220481,476094,517738,73585,120998,399801,527385,266782,256928,116107)

74. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (205352,177537,218178,373781,159996,358934,525121,161674,220307,210672,358064,361483,438961,220481,476094,517738,73585,120998,399801,527385,266782,256928,116107)

75. 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='lavage auto; lavage automobile' OR ssrubr_slug like '%lavage auto; lavage automobile%' OR MATCH (ssrubr_slug) AGAINST ('(+lavage +auto; +lavage +automobile)')) AND sk.ssrubr_id='977' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

76. 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 = 47 AND ss.ssrubr_id <> 977 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

77. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='977' AND actu_niveau=0 ORDER BY actu_ordre DESC

78. 0.0001

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

79. 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

80. 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 (47) ORDER BY ssrubr_order ASC

81. 0.0017

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

82. 0.0397

    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'

83. 0.0293

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

83 requetes sql en 0.1256