Location karcher à 59251 Allennes-les-marais

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. 0.0002

   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 filtre_dpt='59'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='59251' AND ville_nom like '%allennes%les%marais%' 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. 0.0002

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%nettoyeur%haute%pression%' OR ssrubr_title like '%nettoyeur%haute%pression%' OR ssrubr_slug like '%nettoyeur%haute%pression%') AND cate_id='110' ORDER BY ssrubr_id LIMIT 0,1

8. 0.0002

   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='59251'

12. 0.0027

    SELECT ville_cp, ROUND((((acos(sin((50.5333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.95- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.353435678816 AND ville_latitude_deg<50.713164321184 AND ville_longitude_deg>2.6670292214287 AND ville_longitude_deg<3.2329707785713 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='nettoyeur haute pression; karcher; kärcher; nettoy'

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 ('+nettoyeur haute pression; karcher; kärcher; nettoy*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '59251%'

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='nettoyeur haute pression; karcher; kärcher; nettoy' OR ssrubr_slug='nettoyeur-haute-pression;-karcher;-kärcher;-nettoy' OR (ssrubr_title like '%nettoyeur haute pression; karcher; kärcher; nettoy%')) 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='nettoyeur-haute-pression' AND cate_id='110'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59251'

19. 0.0023

    SELECT ville_cp, ROUND((((acos(sin((50.5333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.95- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.353435678816 AND ville_latitude_deg<50.713164321184 AND ville_longitude_deg>2.6670292214287 AND ville_longitude_deg<3.2329707785713 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0146

    SELECT ville_cp, ROUND((((acos(sin((50.5333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.95- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.083639197041 AND ville_latitude_deg<50.982960802959 AND ville_longitude_deg>2.2425669533211 AND ville_longitude_deg<3.6574330466789 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0731

    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((50.5333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.95- 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 MATCH (wish_desc) AGAINST ('(+nettoyeur +haute +pression; +karcher; +kärcher; +nettoy*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (59251,59251,59112,59112,59147,59147,59185,59133,59272,59147,59184,59136,59133,59221,59263,62220,59496,62410,59274,59113,62138,59134,59139,59134,62820,59551,59211,62590,62880,59134,59320,59134,59175,59239,59261,59320,59496,62138,62880,62880,59320,59139,62410,59239,59480,59175,62710,59320,59320,59710,62880,59320,59320,62440,59155,62410,59551,59249,59120,59134,59480,62138,62410,59162,59249,59320,59320,62640,62740,62119,62138,59710,62138,59246,62840,59710,62218,62141,62221,59790,59710,59840,62110,62840,59810,59160,59273,62950,59283,62420,62149,59280,62970,59350,59777,59160,59800,59000,62790,62300,62430,59130,62149,59283,59950,59840,59310,59260,62750,59235,59840,59242,62840,59110,62149,59242,59350,62136,59273,62149,62680,62300,59286,59262,62980,59128,59370,62320,62320,62149,62210,62320,59237,59930,62840,62320,59280,62136,59830,62980,59700,59830,59520,62160,62113,62113,59118,59193,59553,59553,62840,59194,62800,62136,62490,59310,62490,59116,59242,62660,59553,62580,59152,59152,62670,62143,59830,62580,59510,59940,62160,59310,7783) AND type_id=1 GROUP BY wish_id

22. 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 = 89346 AND W.type_id = 1) OR (W.util_id <> 89346 AND W.type_id = 2)) AND (M.post_util_id = 89346 OR M.dest_util_id = 89346) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

23. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=89346 AND note_visu IN (1,3,4)

24. 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 = 127128 AND W.type_id = 1) OR (W.util_id <> 127128 AND W.type_id = 2)) AND (M.post_util_id = 127128 OR M.dest_util_id = 127128) 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=127128 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 = 146004 AND W.type_id = 1) OR (W.util_id <> 146004 AND W.type_id = 2)) AND (M.post_util_id = 146004 OR M.dest_util_id = 146004) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

27. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=146004 AND note_visu IN (1,3,4)

28. 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 = 29270 AND W.type_id = 1) OR (W.util_id <> 29270 AND W.type_id = 2)) AND (M.post_util_id = 29270 OR M.dest_util_id = 29270) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

29. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=29270 AND note_visu IN (1,3,4)

30. 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 = 173295 AND W.type_id = 1) OR (W.util_id <> 173295 AND W.type_id = 2)) AND (M.post_util_id = 173295 OR M.dest_util_id = 173295) 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=173295 AND note_visu IN (1,3,4)

32. 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 = 214748 AND W.type_id = 1) OR (W.util_id <> 214748 AND W.type_id = 2)) AND (M.post_util_id = 214748 OR M.dest_util_id = 214748) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

33. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=214748 AND note_visu IN (1,3,4)

34. 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 = 323872 AND W.type_id = 1) OR (W.util_id <> 323872 AND W.type_id = 2)) AND (M.post_util_id = 323872 OR M.dest_util_id = 323872) 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=323872 AND note_visu IN (1,3,4)

36. 0.0006

    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 = 339897 AND W.type_id = 1) OR (W.util_id <> 339897 AND W.type_id = 2)) AND (M.post_util_id = 339897 OR M.dest_util_id = 339897) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

37. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=339897 AND note_visu IN (1,3,4)

38. 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 = 496237 AND W.type_id = 1) OR (W.util_id <> 496237 AND W.type_id = 2)) AND (M.post_util_id = 496237 OR M.dest_util_id = 496237) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

39. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=496237 AND note_visu IN (1,3,4)

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 = 480496 AND W.type_id = 1) OR (W.util_id <> 480496 AND W.type_id = 2)) AND (M.post_util_id = 480496 OR M.dest_util_id = 480496) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

41. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=480496 AND note_visu IN (1,3,4)

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 = 512870 AND W.type_id = 1) OR (W.util_id <> 512870 AND W.type_id = 2)) AND (M.post_util_id = 512870 OR M.dest_util_id = 512870) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

43. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=512870 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 = 537576 AND W.type_id = 1) OR (W.util_id <> 537576 AND W.type_id = 2)) AND (M.post_util_id = 537576 OR M.dest_util_id = 537576) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

45. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=537576 AND note_visu IN (1,3,4)

46. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59251'

47. 0.0021

    SELECT ville_cp, ROUND((((acos(sin((50.5333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.95- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.353435678816 AND ville_latitude_deg<50.713164321184 AND ville_longitude_deg>2.6670292214287 AND ville_longitude_deg<3.2329707785713 HAVING distance <= 20 ORDER BY distance ASC

48. 0.0156

    SELECT ville_cp, ROUND((((acos(sin((50.5333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.95- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.083639197041 AND ville_latitude_deg<50.982960802959 AND ville_longitude_deg>2.2425669533211 AND ville_longitude_deg<3.6574330466789 HAVING distance <= 50 ORDER BY distance ASC

49. 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 (745)

50. 0.0003

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (146004,339897,496237,29270,537576,323872,127128,480496,89346,214748,512870,173295)

51. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (146004,339897,496237,29270,537576,323872,127128,480496,89346,214748,512870,173295)

52. 0.0002

    SELECT ssrubr_id, ssrubr_title, ssrubr_slug, ssrubr_photo, cate_title_slug FROM ssrubr ss, category c WHERE ss.cate_id=c.cate_id AND ssrubr_visu=1 AND ss.cate_id=110 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

53. 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='nettoyeur haute pression; karcher; kärcher; nettoy' OR ssrubr_slug like '%nettoyeur haute pression; karcher; kärcher; nettoy%' OR MATCH (ssrubr_slug) AGAINST ('(+nettoyeur +haute +pression; +karcher; +kärcher; +nettoy)')) AND sk.ssrubr_id='745' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

54. 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 <> 745 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

55. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='745' AND actu_niveau=0 ORDER BY actu_ordre DESC

56. 0

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

57. 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

58. 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

59. 0.001

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

60. 0.0272

    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'

61. 0.0202

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

61 requetes sql en 0.167