Location nacelle electrique à 76600 Le havre

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   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='5' AND cate_title_slug='materiel-bricolage'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=87

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   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('76' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='76600' AND ville_nom like '%le%havre%' 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. 0.0023

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%nacelle%electrique%' OR ssrubr_title like '%nacelle%electrique%' OR ssrubr_slug like '%nacelle%electrique%') AND cate_id='87' ORDER BY ssrubr_id LIMIT 0,1

8. 0.0001

   SELECT cate_title_form, cate_title FROM category WHERE cate_title='nacelle%electrique' OR cate_title_aff='nacelle%electrique' LIMIT 0,1

9. 0.0001

   SHOW TABLES LIKE 'pays'

10. 0.0002

    SHOW COLUMNS FROM pays LIKE 'pays_tel_%'

11. 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

12. 0.0001

    SELECT ville_cp, ville_latitude_deg,ville_longitude_deg FROM villes v WHERE ville_cp='76600'

13. 0.0024

    SELECT ville_cp, ROUND((((acos(sin((49.5*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.5*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((0.133333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.320135678816 AND ville_latitude_deg<49.679864321184 AND ville_longitude_deg>-0.14361696861812 AND ville_longitude_deg<0.41028296861812 HAVING distance <= 20 ORDER BY distance ASC

14. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='nacelle electrique'

15. 0.0008

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='87' AND wish_visu IN (1,6,10) AND wish_cp like '76600%'

16. 0.0001

    SELECT * FROM texte WHERE cate_id=87

17. 0.0004

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='nacelle electrique' OR ssrubr_slug='nacelle-electrique' OR (ssrubr_title like '%nacelle electrique%')) AND cate_id='87' ORDER BY ssrubr_id LIMIT 0,1

18. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='nacelle-electrique' AND cate_id='87'

19. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='76600'

20. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((49.5*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.5*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((0.133333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.320135678816 AND ville_latitude_deg<49.679864321184 AND ville_longitude_deg>-0.14361696861812 AND ville_longitude_deg<0.41028296861812 HAVING distance <= 20 ORDER BY distance ASC

21. 0.0196

    SELECT ville_cp, ROUND((((acos(sin((49.5*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.5*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((0.133333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.050339197041 AND ville_latitude_deg<49.949660802959 AND ville_longitude_deg>-0.55904789200008 AND ville_longitude_deg<0.82571389200008 HAVING distance <= 50 ORDER BY distance ASC

22. 0.0596

    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((49.5*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.5*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((0.133333- 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='5' AND cate_id='87' AND wish_visu IN (1,6,10) AND wish_cp IN (76600,76600,76310,76620,76610,76310,76290,76700,76930,50340,76700,76290,76290,76290,76700,76700,76133,76700,14600,76133,76930,14113,14113,76133,76290,14600,76430,76133,14600,76430,76133,76280,14600,76430,14600,76430,14600,76280,76430,76280,76280,76430,14360,50440,50270,76280,14800,27210,76110,14600,76280,76430,76280,76430,76280,14130,76430,76430,76430,50270,76110,14910,14600,27210,14600,27210,14800,14800,76280,14800,50260,14130,14800,76280,76280,76280,76280,76430,76430,27210) AND type_id=1 GROUP BY wish_id

23. 0.0001

    SELECT util_id, util_photo, util_prenom, util_nom, stripe_account_id, util_verify FROM util_info WHERE util_id IN (65554,71024,109173,112938,140551,155216,140842,183472,146393,148656,247286,281613,283085,302146,309510,331211,337174,354159,239629,365918,393194,480053,372423)

24. 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 = 65554 AND W.type_id = 1) OR (W.util_id <> 65554 AND W.type_id = 2)) AND (M.post_util_id = 65554 OR M.dest_util_id = 65554) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

25. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=65554 AND note_visu IN (1,3,4)

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    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 = 71024 AND W.type_id = 1) OR (W.util_id <> 71024 AND W.type_id = 2)) AND (M.post_util_id = 71024 OR M.dest_util_id = 71024) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

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    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=71024 AND note_visu IN (1,3,4)

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    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 = 109173 AND W.type_id = 1) OR (W.util_id <> 109173 AND W.type_id = 2)) AND (M.post_util_id = 109173 OR M.dest_util_id = 109173) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

29. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=109173 AND note_visu IN (1,3,4)

30. 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 = 112938 AND W.type_id = 1) OR (W.util_id <> 112938 AND W.type_id = 2)) AND (M.post_util_id = 112938 OR M.dest_util_id = 112938) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

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    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 = 140551 AND W.type_id = 1) OR (W.util_id <> 140551 AND W.type_id = 2)) AND (M.post_util_id = 140551 OR M.dest_util_id = 140551) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

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    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=140551 AND note_visu IN (1,3,4)

34. 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 = 155216 AND W.type_id = 1) OR (W.util_id <> 155216 AND W.type_id = 2)) AND (M.post_util_id = 155216 OR M.dest_util_id = 155216) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

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36. 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 = 140842 AND W.type_id = 1) OR (W.util_id <> 140842 AND W.type_id = 2)) AND (M.post_util_id = 140842 OR M.dest_util_id = 140842) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

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38. 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 = 183472 AND W.type_id = 1) OR (W.util_id <> 183472 AND W.type_id = 2)) AND (M.post_util_id = 183472 OR M.dest_util_id = 183472) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

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40. 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 = 146393 AND W.type_id = 1) OR (W.util_id <> 146393 AND W.type_id = 2)) AND (M.post_util_id = 146393 OR M.dest_util_id = 146393) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

41. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=146393 AND note_visu IN (1,3,4)

42. 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 = 148656 AND W.type_id = 1) OR (W.util_id <> 148656 AND W.type_id = 2)) AND (M.post_util_id = 148656 OR M.dest_util_id = 148656) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

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44. 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 = 247286 AND W.type_id = 1) OR (W.util_id <> 247286 AND W.type_id = 2)) AND (M.post_util_id = 247286 OR M.dest_util_id = 247286) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

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46. 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 = 281613 AND W.type_id = 1) OR (W.util_id <> 281613 AND W.type_id = 2)) AND (M.post_util_id = 281613 OR M.dest_util_id = 281613) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

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48. 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 = 283085 AND W.type_id = 1) OR (W.util_id <> 283085 AND W.type_id = 2)) AND (M.post_util_id = 283085 OR M.dest_util_id = 283085) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

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    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 = 302146 AND W.type_id = 1) OR (W.util_id <> 302146 AND W.type_id = 2)) AND (M.post_util_id = 302146 OR M.dest_util_id = 302146) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

51. 0.0001

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52. 0.0001

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54. 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 = 331211 AND W.type_id = 1) OR (W.util_id <> 331211 AND W.type_id = 2)) AND (M.post_util_id = 331211 OR M.dest_util_id = 331211) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

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58. 0.0001

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60. 0.0001

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62. 0.0001

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63. 0.0001

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64. 0.0001

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65. 0.0001

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66. 0.0001

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67. 0.0001

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68. 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 = 372423 AND W.type_id = 1) OR (W.util_id <> 372423 AND W.type_id = 2)) AND (M.post_util_id = 372423 OR M.dest_util_id = 372423) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

69. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=372423 AND note_visu IN (1,3,4)

70. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='76600'

71. 0.002

    SELECT ville_cp, ROUND((((acos(sin((49.5*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.5*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((0.133333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.320135678816 AND ville_latitude_deg<49.679864321184 AND ville_longitude_deg>-0.14361696861812 AND ville_longitude_deg<0.41028296861812 HAVING distance <= 20 ORDER BY distance ASC

72. 0.0205

    SELECT ville_cp, ROUND((((acos(sin((49.5*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.5*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((0.133333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.050339197041 AND ville_latitude_deg<49.949660802959 AND ville_longitude_deg>-0.55904789200008 AND ville_longitude_deg<0.82571389200008 HAVING distance <= 50 ORDER BY distance ASC

73. 0.0002

    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 (44,50,1157,28,29,33,41,771,54,72,65,775,73,47,70,55,32,58,49,59,69,756,31)

74. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (71024,365918,331211,140842,283085,140551,112938,65554,148656,281613,302146,239629,337174,146393,480053,309510,183472,372423,393194,247286,354159,155216,109173)

75. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (71024,365918,331211,140842,283085,140551,112938,65554,148656,281613,302146,239629,337174,146393,480053,309510,183472,372423,393194,247286,354159,155216,109173)

76. 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='nacelle electrique' OR ssrubr_slug like '%nacelle electrique%' OR MATCH (ssrubr_slug) AGAINST ('(+nacelle +electrique)')) AND sk.ssrubr_id='' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

77. 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_slug = 'nacelle-electrique' AND ss.cate_id = 87 LIMIT 1

78. 0.0003

    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 = 5 AND ss.cate_id = 87 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

79. 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_slug = 'nacelle-electrique' AND ss.cate_id = 87 LIMIT 1

80. 0.0001

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

81. 0

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

82. 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='5' AND cate_cate_id IS NULL ORDER BY cate_order ASC

83. 0.0003

    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 (87) ORDER BY ssrubr_order ASC

84. 0.0009

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

85. 0.025

    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'

86. 0.0199

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

86 requetes sql en 0.1643