Location broyeur vegetaux professionnel à 83000 Toulon

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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-jardinage'

3. 0.0001

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=88

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('83' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='83000' AND ville_nom like '%toulon%' 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. 0.0022

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%broyeur%vegetaux%professionnel%' OR ssrubr_title like '%broyeur%vegetaux%professionnel%' OR ssrubr_slug like '%broyeur%vegetaux%professionnel%') AND cate_id='88' ORDER BY ssrubr_id LIMIT 0,1

8. 0.0001

   SELECT cate_title_form, cate_title FROM category WHERE cate_title='broyeur%vegetaux%professionnel' OR cate_title_aff='broyeur%vegetaux%professionnel' 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='83000'

13. 0.0012

    SELECT ville_cp, ROUND((((acos(sin((43.1167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.1167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((5.93333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>42.936835678816 AND ville_latitude_deg<43.296564321184 AND ville_longitude_deg>5.6869276563448 AND ville_longitude_deg<6.1797323436552 HAVING distance <= 20 ORDER BY distance ASC

14. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='broyeur vegetaux professionnel'

15. 0.0013

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='88' AND wish_visu IN (1,6,10) AND wish_cp like '83000%'

16. 0.0001

    SELECT * FROM texte WHERE cate_id=88

17. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='broyeur vegetaux professionnel' OR ssrubr_slug='broyeur-vegetaux-professionnel' OR (ssrubr_title like '%broyeur vegetaux professionnel%')) AND cate_id='88' ORDER BY ssrubr_id LIMIT 0,1

18. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='broyeur-vegetaux-professionnel' AND cate_id='88'

19. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='83000'

20. 0.0011

    SELECT ville_cp, ROUND((((acos(sin((43.1167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.1167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((5.93333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>42.936835678816 AND ville_latitude_deg<43.296564321184 AND ville_longitude_deg>5.6869276563448 AND ville_longitude_deg<6.1797323436552 HAVING distance <= 20 ORDER BY distance ASC

21. 0.0032

    SELECT ville_cp, ROUND((((acos(sin((43.1167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.1167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((5.93333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>42.667039197041 AND ville_latitude_deg<43.566360802959 AND ville_longitude_deg>5.3173188289494 AND ville_longitude_deg<6.5493411710506 HAVING distance <= 50 ORDER BY distance ASC

22. 0.0406

    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((43.1167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.1167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((5.93333- 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='88' AND wish_visu IN (1,6,10) AND wish_cp IN (83000,83200,83100,83000,83160,83500,83430,83130,83190,83220,83183,83140,83330,83210,83110,83210,83260,83210,83210,83320,83330,83400,83150,83210,83330,83740,83390,83136,83270,83390) AND type_id=1 GROUP BY wish_id

23. 0.0002

    SELECT util_id, util_photo, util_prenom, util_nom, stripe_account_id, util_verify FROM util_info WHERE util_id IN (47319,50673,2140,95975,125362,135521,175602,211248,201764,175190,232841,257133,251812,271917,275409,281812,321730,335686,337855,360520,343466,406717,430718,437157,456635,466725,293926,446189,374643,488910,520513)

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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 = 50673 AND W.type_id = 1) OR (W.util_id <> 50673 AND W.type_id = 2)) AND (M.post_util_id = 50673 OR M.dest_util_id = 50673) 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=50673 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 = 2140 AND W.type_id = 1) OR (W.util_id <> 2140 AND W.type_id = 2)) AND (M.post_util_id = 2140 OR M.dest_util_id = 2140) 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 = 95975 AND W.type_id = 1) OR (W.util_id <> 95975 AND W.type_id = 2)) AND (M.post_util_id = 95975 OR M.dest_util_id = 95975) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

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32. 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 = 125362 AND W.type_id = 1) OR (W.util_id <> 125362 AND W.type_id = 2)) AND (M.post_util_id = 125362 OR M.dest_util_id = 125362) 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 = 135521 AND W.type_id = 1) OR (W.util_id <> 135521 AND W.type_id = 2)) AND (M.post_util_id = 135521 OR M.dest_util_id = 135521) 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 = 175602 AND W.type_id = 1) OR (W.util_id <> 175602 AND W.type_id = 2)) AND (M.post_util_id = 175602 OR M.dest_util_id = 175602) 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 = 211248 AND W.type_id = 1) OR (W.util_id <> 211248 AND W.type_id = 2)) AND (M.post_util_id = 211248 OR M.dest_util_id = 211248) 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 = 201764 AND W.type_id = 1) OR (W.util_id <> 201764 AND W.type_id = 2)) AND (M.post_util_id = 201764 OR M.dest_util_id = 201764) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

41. 0.0001

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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 = 175190 AND W.type_id = 1) OR (W.util_id <> 175190 AND W.type_id = 2)) AND (M.post_util_id = 175190 OR M.dest_util_id = 175190) 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=175190 AND note_visu IN (1,3,4)

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 = 232841 AND W.type_id = 1) OR (W.util_id <> 232841 AND W.type_id = 2)) AND (M.post_util_id = 232841 OR M.dest_util_id = 232841) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

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72. 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 = 456635 AND W.type_id = 1) OR (W.util_id <> 456635 AND W.type_id = 2)) AND (M.post_util_id = 456635 OR M.dest_util_id = 456635) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

73. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=456635 AND note_visu IN (1,3,4)

74. 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 = 466725 AND W.type_id = 1) OR (W.util_id <> 466725 AND W.type_id = 2)) AND (M.post_util_id = 466725 OR M.dest_util_id = 466725) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

75. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=466725 AND note_visu IN (1,3,4)

76. 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 = 293926 AND W.type_id = 1) OR (W.util_id <> 293926 AND W.type_id = 2)) AND (M.post_util_id = 293926 OR M.dest_util_id = 293926) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

77. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=293926 AND note_visu IN (1,3,4)

78. 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 = 446189 AND W.type_id = 1) OR (W.util_id <> 446189 AND W.type_id = 2)) AND (M.post_util_id = 446189 OR M.dest_util_id = 446189) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

79. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=446189 AND note_visu IN (1,3,4)

80. 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 = 374643 AND W.type_id = 1) OR (W.util_id <> 374643 AND W.type_id = 2)) AND (M.post_util_id = 374643 OR M.dest_util_id = 374643) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

81. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=374643 AND note_visu IN (1,3,4)

82. 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 = 488910 AND W.type_id = 1) OR (W.util_id <> 488910 AND W.type_id = 2)) AND (M.post_util_id = 488910 OR M.dest_util_id = 488910) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

83. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=488910 AND note_visu IN (1,3,4)

84. 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 = 520513 AND W.type_id = 1) OR (W.util_id <> 520513 AND W.type_id = 2)) AND (M.post_util_id = 520513 OR M.dest_util_id = 520513) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

85. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=520513 AND note_visu IN (1,3,4)

86. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='83000'

87. 0.0012

    SELECT ville_cp, ROUND((((acos(sin((43.1167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.1167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((5.93333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>42.936835678816 AND ville_latitude_deg<43.296564321184 AND ville_longitude_deg>5.6869276563448 AND ville_longitude_deg<6.1797323436552 HAVING distance <= 20 ORDER BY distance ASC

88. 0.0031

    SELECT ville_cp, ROUND((((acos(sin((43.1167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((43.1167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((5.93333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>42.667039197041 AND ville_latitude_deg<43.566360802959 AND ville_longitude_deg>5.3173188289494 AND ville_longitude_deg<6.5493411710506 HAVING distance <= 50 ORDER BY distance ASC

89. 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 (23,24,15,13,14,5,3,4,1026,6,7,2,1,1173,16,19,8)

90. 0.0003

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (293926,337855,175602,50673,446189,232841,335686,201764,95975,47319,406717,488910,257133,251812,456635,275409,125362,2140,211248,175190,430718,437157,374643,343466,321730,466725,281812,360520,520513,135521,271917)

91. 0.0002

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (293926,337855,175602,50673,446189,232841,335686,201764,95975,47319,406717,488910,257133,251812,456635,275409,125362,2140,211248,175190,430718,437157,374643,343466,321730,466725,281812,360520,520513,135521,271917)

92. 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='broyeur vegetaux professionnel' OR ssrubr_slug like '%broyeur vegetaux professionnel%' OR MATCH (ssrubr_slug) AGAINST ('(+broyeur +vegetaux +professionnel)')) AND sk.ssrubr_id='' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

93. 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 = 'broyeur-vegetaux-professionnel' AND ss.cate_id = 88 LIMIT 1

94. 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 = 88 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

95. 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 = 'broyeur-vegetaux-professionnel' AND ss.cate_id = 88 LIMIT 1

96. 0.0001

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

97. 0

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

98. 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

99. 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 (88) ORDER BY ssrubr_order ASC

100. 0.0011

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

101. 0.0269

     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'

102. 0.0166

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

102 requetes sql en 0.1095