Location aspirateur à 78810 Feucherolles

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='materiel-nettoyage'

3. 0

   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='78810' AND ville_nom like '%feucherolles%' 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 '%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. 0.0003

    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='78810'

12. 0.0029

    SELECT ville_cp, ROUND((((acos(sin((48.8667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.93333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.686835678816 AND ville_latitude_deg<49.046564321184 AND ville_longitude_deg>1.6599018543365 AND ville_longitude_deg<2.2067581456635 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='aspirateur'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='110'AND MATCH (wish_title,wish_desc) AGAINST ('+aspirateur*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '78810%'

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='78810'

19. 0.0027

    SELECT ville_cp, ROUND((((acos(sin((48.8667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.93333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.686835678816 AND ville_latitude_deg<49.046564321184 AND ville_longitude_deg>1.6599018543365 AND ville_longitude_deg<2.2067581456635 HAVING distance <= 20 ORDER BY distance ASC

20. 0.008

    SELECT ville_cp, ROUND((((acos(sin((48.8667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.93333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.417039197041 AND ville_latitude_deg<49.316360802959 AND ville_longitude_deg>1.2497537413096 AND ville_longitude_deg<2.6169062586904 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0882

    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((48.8667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.93333- 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='110' AND MATCH (wish_desc) AGAINST ('(+aspirateur*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (78810,78810,78121,78850,78810,78450,78640,78580,78124,78650,78580,78370,78640,78124,78860,78630,78640,78340,78240,78450,78640,78630,78240,78650,78580,78770,78770,78580,78490,78590,78770,78920,78990,78126,78760,78390,78620,78770,78112,78590,78770,78330,78670,78670,78190,78490,78770,78160,78490,78490,78750,78130,78870,78310,78490,78300,78410,78100,78540,78410,78955,78410,78410,78210,78490,78580,78770,78680,78490,78490,78410,78230,78310,78320,78180,78930,78430,78480,78690,78560,78510,78110,78150,78930,78940,78890,78380,78290,78910,78150,78260,78970,78280,78130,78570,78490,78250,78320,78790,78790,78910,78490,78250,78960,78910,78400,78790,78170,78820,78470,78600,78570,78930,78000,78940,78440,78740,78320,78250,78360,78690,78250,78740,95180,78440,78470,95000,78910,78780,78114,78700,78250,92430,92420,95280,78910,78930,78600,78350,78530,78440,78720,92380,95450,78930,78930,78220,78790,78910,78117,78610,78930,78420,78790,95450,95800,78720,78117,95000,78200,78711,92410,78250,78610,78520,78490,92500,78140,92000,78790,95490,78440) 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 (88775,211476,220481,312098,334430,335340,374498,311956,495463,498095)

23. 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 = 88775 AND W.type_id = 1) OR (W.util_id <> 88775 AND W.type_id = 2)) AND (M.post_util_id = 88775 OR M.dest_util_id = 88775) 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=88775 AND note_visu IN (1,3,4)

25. 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 = 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 <> ''

26. 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)

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 = 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 <> ''

28. 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)

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 = 312098 AND W.type_id = 1) OR (W.util_id <> 312098 AND W.type_id = 2)) AND (M.post_util_id = 312098 OR M.dest_util_id = 312098) 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=312098 AND note_visu IN (1,3,4)

31. 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 = 334430 AND W.type_id = 1) OR (W.util_id <> 334430 AND W.type_id = 2)) AND (M.post_util_id = 334430 OR M.dest_util_id = 334430) 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=334430 AND note_visu IN (1,3,4)

33. 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 <> ''

34. 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)

35. 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 = 374498 AND W.type_id = 1) OR (W.util_id <> 374498 AND W.type_id = 2)) AND (M.post_util_id = 374498 OR M.dest_util_id = 374498) 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=374498 AND note_visu IN (1,3,4)

37. 0.0007

    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 <> ''

38. 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)

39. 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 = 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 <> ''

40. 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)

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 = 498095 AND W.type_id = 1) OR (W.util_id <> 498095 AND W.type_id = 2)) AND (M.post_util_id = 498095 OR M.dest_util_id = 498095) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

42. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=498095 AND note_visu IN (1,3,4)

43. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='78810'

44. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((48.8667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.93333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.686835678816 AND ville_latitude_deg<49.046564321184 AND ville_longitude_deg>1.6599018543365 AND ville_longitude_deg<2.2067581456635 HAVING distance <= 20 ORDER BY distance ASC

45. 0.009

    SELECT ville_cp, ROUND((((acos(sin((48.8667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.93333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.417039197041 AND ville_latitude_deg<49.316360802959 AND ville_longitude_deg>1.2497537413096 AND ville_longitude_deg<2.6169062586904 HAVING distance <= 50 ORDER BY distance ASC

46. 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 (746,1076,1075,1115,747)

47. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (335340,211476,311956,88775,374498,495463,220481,312098,498095,334430)

48. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (335340,211476,311956,88775,374498,495463,220481,312098,498095,334430)

49. 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

50. 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 = 110 AND ss.ssrubr_id <> 746 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

51. 0.0001

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

52. 0.0001

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

53. 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

54. 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

55. 0.0017

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

56. 0.0395

    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'

57. 0.026

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

57 requetes sql en 0.1879