Location shampouineuse à 59552 Lambres-lez-douai

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('59' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='59552' AND ville_nom like '%lambres%lez%douai%' 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 '%shampouineuse%' OR ssrubr_title like '%shampouineuse%' OR ssrubr_slug like '%shampouineuse%') 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='59552'

12. 0.002

    SELECT ville_cp, ROUND((((acos(sin((50.3531*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3531*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.06778- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.173235678816 AND ville_latitude_deg<50.532964321184 AND ville_longitude_deg>2.7858846128999 AND ville_longitude_deg<3.3496753871001 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='shampouineuse; bissell; spot clean; nettoyeur tapi'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='110' AND ssrubr_id='747' AND wish_visu IN (1,6,10) AND wish_cp like '59552%'

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='shampouineuse; bissell; spot clean; nettoyeur tapi' OR ssrubr_slug='shampouineuse;-bissell;-spot-clean;-nettoyeur-tapi' OR (ssrubr_title like '%shampouineuse; bissell; spot clean; nettoyeur tapi%')) 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='shampouineuse' AND cate_id='110'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59552'

19. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((50.3531*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3531*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.06778- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.173235678816 AND ville_latitude_deg<50.532964321184 AND ville_longitude_deg>2.7858846128999 AND ville_longitude_deg<3.3496753871001 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0141

    SELECT ville_cp, ROUND((((acos(sin((50.3531*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3531*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.06778- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.903439197041 AND ville_latitude_deg<50.802760802959 AND ville_longitude_deg>2.3630354551822 AND ville_longitude_deg<3.7725245448178 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0078

    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((50.3531*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3531*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.06778- 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='747' AND wish_visu IN (1,6,10) AND wish_cp IN (59552,59552,59552,59500,59169,62112,59187,59553,59553,59450,59553,62117,62112,59169,62490,59119,59128,59287,59151,62490,62490,59169,62490,59169,59182,59287,59286,59950,59167,59194,59151,62970,59151,59169,62490,59151,59194,62490,59182,62790,59283,62490,62141,62950,62118,59176,62860,59259,62490,59234,62118,59176,59151,62580,62156,62119,59283,59162,59146,62320,62320,62156,62860,62860,62860,59148,62860,62110,59265,59165,62860,62156,59234,59234,62118,62320,62156,59870,59490,62640,62580,59580,62580,62118,62580,59265,59310,62320,62860,62156,59580,62118,62860,62420,62740,62590,62156,59246,59310,59247,62580,62118,62710,59870,59239,59261,59247,62820,62156,59252,62182,62680,62860,62860,62860,62118,59490,62580,59235,62580,59870,62182,62430,62440,59252,62220,59551,59239,59870,59247,59179,62880,59215,62580,59710,59265,62218,62221,59265,62860,59252,62128,62860,59310,59310,62223,62182,62128,62210,59172,62223,59171,59554,59265,62580,59111,62880,62880,59551,62128,59870,59554,59268,59710,59133,62128,62300,59171,62182,62580,62880,59295,59295,59133,62300,59554,59111,59554,59242,59310,62128,59112,59172,59870,62860,62223) 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 (203067,239105,221277,283856,293829,259597,340150,392438,420126,426952,544458)

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 = 203067 AND W.type_id = 1) OR (W.util_id <> 203067 AND W.type_id = 2)) AND (M.post_util_id = 203067 OR M.dest_util_id = 203067) 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=203067 AND note_visu IN (1,3,4)

25. 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 = 239105 AND W.type_id = 1) OR (W.util_id <> 239105 AND W.type_id = 2)) AND (M.post_util_id = 239105 OR M.dest_util_id = 239105) 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=239105 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 = 221277 AND W.type_id = 1) OR (W.util_id <> 221277 AND W.type_id = 2)) AND (M.post_util_id = 221277 OR M.dest_util_id = 221277) 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=221277 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 = 283856 AND W.type_id = 1) OR (W.util_id <> 283856 AND W.type_id = 2)) AND (M.post_util_id = 283856 OR M.dest_util_id = 283856) 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=283856 AND note_visu IN (1,3,4)

31. 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 = 293829 AND W.type_id = 1) OR (W.util_id <> 293829 AND W.type_id = 2)) AND (M.post_util_id = 293829 OR M.dest_util_id = 293829) 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=293829 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 = 259597 AND W.type_id = 1) OR (W.util_id <> 259597 AND W.type_id = 2)) AND (M.post_util_id = 259597 OR M.dest_util_id = 259597) 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=259597 AND note_visu IN (1,3,4)

35. 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 = 340150 AND W.type_id = 1) OR (W.util_id <> 340150 AND W.type_id = 2)) AND (M.post_util_id = 340150 OR M.dest_util_id = 340150) 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=340150 AND note_visu IN (1,3,4)

37. 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 = 392438 AND W.type_id = 1) OR (W.util_id <> 392438 AND W.type_id = 2)) AND (M.post_util_id = 392438 OR M.dest_util_id = 392438) 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=392438 AND note_visu IN (1,3,4)

39. 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 = 420126 AND W.type_id = 1) OR (W.util_id <> 420126 AND W.type_id = 2)) AND (M.post_util_id = 420126 OR M.dest_util_id = 420126) 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=420126 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 = 426952 AND W.type_id = 1) OR (W.util_id <> 426952 AND W.type_id = 2)) AND (M.post_util_id = 426952 OR M.dest_util_id = 426952) 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=426952 AND note_visu IN (1,3,4)

43. 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 = 544458 AND W.type_id = 1) OR (W.util_id <> 544458 AND W.type_id = 2)) AND (M.post_util_id = 544458 OR M.dest_util_id = 544458) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

44. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=544458 AND note_visu IN (1,3,4)

45. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59552'

46. 0.002

    SELECT ville_cp, ROUND((((acos(sin((50.3531*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3531*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.06778- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.173235678816 AND ville_latitude_deg<50.532964321184 AND ville_longitude_deg>2.7858846128999 AND ville_longitude_deg<3.3496753871001 HAVING distance <= 20 ORDER BY distance ASC

47. 0.0145

    SELECT ville_cp, ROUND((((acos(sin((50.3531*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3531*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.06778- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.903439197041 AND ville_latitude_deg<50.802760802959 AND ville_longitude_deg>2.3630354551822 AND ville_longitude_deg<3.7725245448178 HAVING distance <= 50 ORDER BY distance ASC

48. 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 (747)

49. 0.0003

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (221277,203067,426952,392438,340150,293829,259597,239105,420126,283856,544458)

50. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (221277,203067,426952,392438,340150,293829,259597,239105,420126,283856,544458)

51. 0.0003

    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='shampouineuse; bissell; spot clean; nettoyeur tapi' OR ssrubr_slug like '%shampouineuse; bissell; spot clean; nettoyeur tapi%' OR MATCH (ssrubr_slug) AGAINST ('(+shampouineuse; +bissell; +spot +clean; +nettoyeur +tapi)')) AND sk.ssrubr_id='747' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

52. 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 <> 747 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

53. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='747' AND actu_niveau=0 ORDER BY actu_ordre DESC

54. 0

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

55. 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

56. 0.0001

    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

57. 0.0009

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

58. 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'

59. 0.0178

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

59 requetes sql en 0.093