Location aspirateur à 78370 Plaisir

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='5' AND cate_title_slug='materiel-nettoyage'

3. 0.0001

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=110

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='78370' AND ville_nom like '%plaisir%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0006

   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 '%aspirateur%' OR ssrubr_title like '%aspirateur%' OR ssrubr_slug like '%aspirateur%') AND cate_id='110' 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='78370'

12. 0.0021

    SELECT ville_cp, ROUND((((acos(sin((48.8167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.95- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.636835678816 AND ville_latitude_deg<48.996564321184 AND ville_longitude_deg>1.6768446819952 AND ville_longitude_deg<2.2231553180048 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='aspirateur'

14. 0.0025

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='110' AND ssrubr_id='746' AND wish_visu IN (1,6,10) AND wish_cp like '78370%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=110

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='aspirateur' OR ssrubr_slug='aspirateur' OR (ssrubr_title like '%aspirateur%')) AND cate_id='110' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='aspirateur' AND cate_id='110'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='78370'

19. 0.0017

    SELECT ville_cp, ROUND((((acos(sin((48.8167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.95- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.636835678816 AND ville_latitude_deg<48.996564321184 AND ville_longitude_deg>1.6768446819952 AND ville_longitude_deg<2.2231553180048 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0061

    SELECT ville_cp, ROUND((((acos(sin((48.8167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.95- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.367039197041 AND ville_latitude_deg<49.266360802959 AND ville_longitude_deg>1.2671058163378 AND ville_longitude_deg<2.6328941836622 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0022

    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((48.8167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.95- 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='110' AND ssrubr_id='746' AND wish_visu IN (1,6,10) AND wish_cp IN (78370,78370,78340,78640,78990,78640,78850,78450,78640,78760,78190,78450,78390,78810,78810,78310,78640,78860,78650,78490,78330,78320,78121,78590,78310,78490,78490,78180,78490,78210,78650,78690,78590,78320,78124,78770,78620,78280,78960,78870,78490,78490,78240,78580,78470,78490,78124,78240,78320,78490,78160,78770,78112,78490,78630,78580,78770,78690,78470,78770,78750,78770,78150,78114,78720,78150,78630,78580,78430,78770,78100,78720,78940,78000,78610,78490,78560,78117,78580,78230,78117,78290,78380,78530,78350,78890,78126,78300,78460,78610,78920,78720,78170,78670,78670,78110,78770,78460,78220,78910,78940,78955,78610,78470,78910,78400,78580,91190,91470,92420,92430,78130,78720,78350,78540,78410,78410,78410,78140,78125,92380,78930,91190,78610,78490,92410,78680,78410,78910,78410,92310,78790,78790,78360,91400,78910,92370,78600,78790,78930,78480,78260,91470,78510,78570,78910,92210,92500,91470,78970) 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 (211476,220481,335340,331255,311956,495463)

23. 0.0003

    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 = 211476 AND W.type_id = 1) OR (W.util_id <> 211476 AND W.type_id = 2)) AND (M.post_util_id = 211476 OR M.dest_util_id = 211476) 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=211476 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 = 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 <> ''

26. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=220481 AND note_visu IN (1,3,4)

27. 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 = 335340 AND W.type_id = 1) OR (W.util_id <> 335340 AND W.type_id = 2)) AND (M.post_util_id = 335340 OR M.dest_util_id = 335340) 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=335340 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 = 331255 AND W.type_id = 1) OR (W.util_id <> 331255 AND W.type_id = 2)) AND (M.post_util_id = 331255 OR M.dest_util_id = 331255) 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=331255 AND note_visu IN (1,3,4)

31. 0.0005

    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 = 311956 AND W.type_id = 1) OR (W.util_id <> 311956 AND W.type_id = 2)) AND (M.post_util_id = 311956 OR M.dest_util_id = 311956) 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=311956 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 = 495463 AND W.type_id = 1) OR (W.util_id <> 495463 AND W.type_id = 2)) AND (M.post_util_id = 495463 OR M.dest_util_id = 495463) 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=495463 AND note_visu IN (1,3,4)

35. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='78370'

36. 0.0016

    SELECT ville_cp, ROUND((((acos(sin((48.8167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.95- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.636835678816 AND ville_latitude_deg<48.996564321184 AND ville_longitude_deg>1.6768446819952 AND ville_longitude_deg<2.2231553180048 HAVING distance <= 20 ORDER BY distance ASC

37. 0.0062

    SELECT ville_cp, ROUND((((acos(sin((48.8167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.95- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.367039197041 AND ville_latitude_deg<49.266360802959 AND ville_longitude_deg>1.2671058163378 AND ville_longitude_deg<2.6328941836622 HAVING distance <= 50 ORDER BY distance ASC

38. 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 (746)

39. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (211476,335340,495463,311956,220481,331255)

40. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (211476,335340,495463,311956,220481,331255)

41. 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='aspirateur' OR ssrubr_slug like '%aspirateur%' OR MATCH (ssrubr_slug) AGAINST ('(+aspirateur)')) AND sk.ssrubr_id='746' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

42. 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 = 5 AND ss.cate_id = 110 AND ss.ssrubr_id <> 746 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

43. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='746' AND actu_niveau=0 ORDER BY actu_ordre DESC

44. 0.0001

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

45. 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

46. 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 (110) ORDER BY ssrubr_order ASC

47. 0.0009

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

48. 0.0227

    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'

49. 0.0174

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

49 requetes sql en 0.0693