Location percolateur professionnel à 44000 Nantes

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='5' AND cate_title_slug='electromenager'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=207

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('44' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='44000' AND ville_nom like '%nantes%' 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. 0.0021

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%percolateur%professionnel%' OR ssrubr_title like '%percolateur%professionnel%' OR ssrubr_slug like '%percolateur%professionnel%') AND cate_id='207' ORDER BY ssrubr_id LIMIT 0,1

8. 0.0001

   SELECT cate_title_form, cate_title FROM category WHERE cate_title='percolateur%professionnel' OR cate_title_aff='percolateur%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='44000'

13. 0.0025

    SELECT ville_cp, ROUND((((acos(sin((38.4119*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((38.4119*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((38.2118- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>38.232035678816 AND ville_latitude_deg<38.591764321184 AND ville_longitude_deg>37.982253316485 AND ville_longitude_deg<38.441346683515 HAVING distance <= 20 ORDER BY distance ASC

14. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='percolateur professionnel'

15. 0.0006

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='207' AND wish_visu IN (1,6,10) AND wish_cp like '44000%'

16. 0.0001

    SELECT * FROM texte WHERE cate_id=207

17. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='percolateur professionnel' OR ssrubr_slug='percolateur-professionnel' OR (ssrubr_title like '%percolateur professionnel%')) AND cate_id='207' ORDER BY ssrubr_id LIMIT 0,1

18. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='percolateur-professionnel' AND cate_id='207'

19. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='44000'

20. 0.0025

    SELECT ville_cp, ROUND((((acos(sin((38.4119*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((38.4119*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((38.2118- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>38.232035678816 AND ville_latitude_deg<38.591764321184 AND ville_longitude_deg>37.982253316485 AND ville_longitude_deg<38.441346683515 HAVING distance <= 20 ORDER BY distance ASC

21. 0.006

    SELECT ville_cp, ROUND((((acos(sin((38.4119*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((38.4119*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((38.2118- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>37.962239197041 AND ville_latitude_deg<38.861560802959 AND ville_longitude_deg>37.637928342672 AND ville_longitude_deg<38.785671657328 HAVING distance <= 50 ORDER BY distance ASC

22. 0.0334

    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((38.4119*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((38.4119*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((38.2118- 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='207' AND wish_visu IN (1,6,10) AND wish_cp IN (44000,44000,44000,44180,44310,44600,44600,44100,44110,44120,44915,44350,44350,44350,44200,44280,44920,44900,44900,44350,44210,44350,44600,44170,44600,44910,44230,44600,44600,44600,44600,44300,44350,44600,44350,44600,44600,44350,44600) 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 (28218,63910,112796,120667,124876,43321,156776,186929,189098,204467,315099,334553,358750,143526,367285,380768,387212,103143,411947,431363,233225,467611,471796,477458,489669,390343,514962,528177)

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 = 28218 AND W.type_id = 1) OR (W.util_id <> 28218 AND W.type_id = 2)) AND (M.post_util_id = 28218 OR M.dest_util_id = 28218) 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=28218 AND note_visu IN (1,3,4)

26. 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 = 63910 AND W.type_id = 1) OR (W.util_id <> 63910 AND W.type_id = 2)) AND (M.post_util_id = 63910 OR M.dest_util_id = 63910) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

27. 0.0001

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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 = 112796 AND W.type_id = 1) OR (W.util_id <> 112796 AND W.type_id = 2)) AND (M.post_util_id = 112796 OR M.dest_util_id = 112796) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

29. 0.0001

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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 = 120667 AND W.type_id = 1) OR (W.util_id <> 120667 AND W.type_id = 2)) AND (M.post_util_id = 120667 OR M.dest_util_id = 120667) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

31. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=120667 AND note_visu IN (1,3,4)

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 = 124876 AND W.type_id = 1) OR (W.util_id <> 124876 AND W.type_id = 2)) AND (M.post_util_id = 124876 OR M.dest_util_id = 124876) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

33. 0.0001

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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 = 43321 AND W.type_id = 1) OR (W.util_id <> 43321 AND W.type_id = 2)) AND (M.post_util_id = 43321 OR M.dest_util_id = 43321) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

35. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=43321 AND note_visu IN (1,3,4)

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 = 156776 AND W.type_id = 1) OR (W.util_id <> 156776 AND W.type_id = 2)) AND (M.post_util_id = 156776 OR M.dest_util_id = 156776) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

37. 0.0001

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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 = 186929 AND W.type_id = 1) OR (W.util_id <> 186929 AND W.type_id = 2)) AND (M.post_util_id = 186929 OR M.dest_util_id = 186929) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

39. 0.0001

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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 = 189098 AND W.type_id = 1) OR (W.util_id <> 189098 AND W.type_id = 2)) AND (M.post_util_id = 189098 OR M.dest_util_id = 189098) 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 = 204467 AND W.type_id = 1) OR (W.util_id <> 204467 AND W.type_id = 2)) AND (M.post_util_id = 204467 OR M.dest_util_id = 204467) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

43. 0.0001

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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 = 315099 AND W.type_id = 1) OR (W.util_id <> 315099 AND W.type_id = 2)) AND (M.post_util_id = 315099 OR M.dest_util_id = 315099) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

45. 0.0001

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46. 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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56. 0.0001

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62. 0.0001

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64. 0.0001

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68. 0.0001

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70. 0.0001

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71. 0.0001

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72. 0.0001

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73. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=489669 AND note_visu IN (1,3,4)

74. 0.0004

    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 = 390343 AND W.type_id = 1) OR (W.util_id <> 390343 AND W.type_id = 2)) AND (M.post_util_id = 390343 OR M.dest_util_id = 390343) 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=390343 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 = 514962 AND W.type_id = 1) OR (W.util_id <> 514962 AND W.type_id = 2)) AND (M.post_util_id = 514962 OR M.dest_util_id = 514962) 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=514962 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 = 528177 AND W.type_id = 1) OR (W.util_id <> 528177 AND W.type_id = 2)) AND (M.post_util_id = 528177 OR M.dest_util_id = 528177) 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=528177 AND note_visu IN (1,3,4)

80. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='44000'

81. 0.0025

    SELECT ville_cp, ROUND((((acos(sin((38.4119*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((38.4119*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((38.2118- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>38.232035678816 AND ville_latitude_deg<38.591764321184 AND ville_longitude_deg>37.982253316485 AND ville_longitude_deg<38.441346683515 HAVING distance <= 20 ORDER BY distance ASC

82. 0.0064

    SELECT ville_cp, ROUND((((acos(sin((38.4119*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((38.4119*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((38.2118- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>37.962239197041 AND ville_latitude_deg<38.861560802959 AND ville_longitude_deg>37.637928342672 AND ville_longitude_deg<38.785671657328 HAVING distance <= 50 ORDER BY distance ASC

83. 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 (1168,1149,1170,961,688,686,696,687,676,796,690,1130,689,701,702,685)

84. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (390343,334553,143526,189098,528177,514962,387212,467611,186929,120667,411947,489669,233225,431363,103143,380768,367285,315099,63910,43321,156776,112796,124876,28218,358750,477458,204467,471796)

85. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (390343,334553,143526,189098,528177,514962,387212,467611,186929,120667,411947,489669,233225,431363,103143,380768,367285,315099,63910,43321,156776,112796,124876,28218,358750,477458,204467,471796)

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

87. 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 = 'percolateur-professionnel' AND ss.cate_id = 207 LIMIT 1

88. 0.0004

    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 = 207 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

89. 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 = 'percolateur-professionnel' AND ss.cate_id = 207 LIMIT 1

90. 0.0001

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

91. 0.0001

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

92. 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='5' AND cate_cate_id IS NULL ORDER BY cate_order ASC

93. 0.0004

    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 (207) ORDER BY ssrubr_order ASC

94. 0.0009

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

95. 0.0212

    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'

96. 0.0163

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

96 requetes sql en 0.1049