Location barres de toit à 59249 Aubers

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='outillage-mecanique-automobile'

3. 0.0001

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=227

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='59'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='59249' AND ville_nom like '%aubers%' 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 '%barres%de%toit%' OR ssrubr_title like '%barres%de%toit%' OR ssrubr_slug like '%barres%de%toit%') AND cate_id='227' 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='59249'

12. 0.0028

    SELECT ville_cp, ROUND((((acos(sin((50.6*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.6*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.83333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.420135678816 AND ville_latitude_deg<50.779864321184 AND ville_longitude_deg>2.5499583755657 AND ville_longitude_deg<3.1167016244343 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='barres de toit'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='227'AND MATCH (wish_title,wish_desc) AGAINST ('+barres de toit*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '59249%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=227

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='barres de toit' OR ssrubr_slug='barres-de-toit' OR (ssrubr_title like '%barres de toit%')) AND cate_id='227' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='barres-de-toit' AND cate_id='227'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59249'

19. 0.0031

    SELECT ville_cp, ROUND((((acos(sin((50.6*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.6*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.83333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.420135678816 AND ville_latitude_deg<50.779864321184 AND ville_longitude_deg>2.5499583755657 AND ville_longitude_deg<3.1167016244343 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0164

    SELECT ville_cp, ROUND((((acos(sin((50.6*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.6*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.83333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.150339197041 AND ville_latitude_deg<51.049660802959 AND ville_longitude_deg>2.1248948300222 AND ville_longitude_deg<3.5417651699778 HAVING distance <= 50 ORDER BY distance ASC

21. 0.062

    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((50.6*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.6*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.83333- 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='227' AND MATCH (wish_desc) AGAINST ('(+barres +de +toit*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (59249,59249,59249,59480,59134,62840,59134,59134,59134,62840,62840,59134,62840,59274,59320,59280,59136,62136,62840,59184,59320,59320,59496,59496,59480,59272,62138,59211,62136,62149,59320,59940,59320,62138,59193,62149,62138,62138,62136,59221,59280,62138,59840,59320,59253,59112,59930,59320,62136,59320,59160,59147,62149,59185,59251,59850,59181,62410,59320,59147,59840,59263,62400,59940,7783,59116,59147,62410,59940,62400,62410,62410,59139,59120,62149,59112,62149,59840,62660,59133,7782,62113,62113,59660,59236,62980,59237,62880,59130,59113,62880,62880,62980,62350,59139,59175,62232,59133,62400,62880,62220,62113,59350,8950,59270,59155,59777,59350,59160,59000,59800,59175,59890,62232,62232,62750,62350,62440,59110,62920,59890,59270,62290,59270,62670,8952,59118,62232,59551,59232,62131,62131,62160,62710,62590,62820,59560,59520,62300,62131,7784,62221,62218,8951,59790,62350,62350,62232,59239,8957,59700,59710,59270,59261,62920,62740,8950,62114,62640,7784,62196,59370,62199) 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 = 234378 AND W.type_id = 1) OR (W.util_id <> 234378 AND W.type_id = 2)) AND (M.post_util_id = 234378 OR M.dest_util_id = 234378) 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=234378 AND note_visu IN (1,3,4)

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 = 242188 AND W.type_id = 1) OR (W.util_id <> 242188 AND W.type_id = 2)) AND (M.post_util_id = 242188 OR M.dest_util_id = 242188) 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=242188 AND note_visu IN (1,3,4)

26. 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 = 246185 AND W.type_id = 1) OR (W.util_id <> 246185 AND W.type_id = 2)) AND (M.post_util_id = 246185 OR M.dest_util_id = 246185) 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=246185 AND note_visu IN (1,3,4)

28. 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 = 146240 AND W.type_id = 1) OR (W.util_id <> 146240 AND W.type_id = 2)) AND (M.post_util_id = 146240 OR M.dest_util_id = 146240) 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=146240 AND note_visu IN (1,3,4)

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 = 343500 AND W.type_id = 1) OR (W.util_id <> 343500 AND W.type_id = 2)) AND (M.post_util_id = 343500 OR M.dest_util_id = 343500) 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=343500 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 = 206723 AND W.type_id = 1) OR (W.util_id <> 206723 AND W.type_id = 2)) AND (M.post_util_id = 206723 OR M.dest_util_id = 206723) 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=206723 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 = 368323 AND W.type_id = 1) OR (W.util_id <> 368323 AND W.type_id = 2)) AND (M.post_util_id = 368323 OR M.dest_util_id = 368323) 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=368323 AND note_visu IN (1,3,4)

36. 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 = 371324 AND W.type_id = 1) OR (W.util_id <> 371324 AND W.type_id = 2)) AND (M.post_util_id = 371324 OR M.dest_util_id = 371324) 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=371324 AND note_visu IN (1,3,4)

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 = 373906 AND W.type_id = 1) OR (W.util_id <> 373906 AND W.type_id = 2)) AND (M.post_util_id = 373906 OR M.dest_util_id = 373906) 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=373906 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 = 394654 AND W.type_id = 1) OR (W.util_id <> 394654 AND W.type_id = 2)) AND (M.post_util_id = 394654 OR M.dest_util_id = 394654) 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=394654 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 = 426374 AND W.type_id = 1) OR (W.util_id <> 426374 AND W.type_id = 2)) AND (M.post_util_id = 426374 OR M.dest_util_id = 426374) 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=426374 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 = 453595 AND W.type_id = 1) OR (W.util_id <> 453595 AND W.type_id = 2)) AND (M.post_util_id = 453595 OR M.dest_util_id = 453595) 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=453595 AND note_visu IN (1,3,4)

46. 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 = 470000 AND W.type_id = 1) OR (W.util_id <> 470000 AND W.type_id = 2)) AND (M.post_util_id = 470000 OR M.dest_util_id = 470000) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

47. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=470000 AND note_visu IN (1,3,4)

48. 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 = 337774 AND W.type_id = 1) OR (W.util_id <> 337774 AND W.type_id = 2)) AND (M.post_util_id = 337774 OR M.dest_util_id = 337774) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

49. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=337774 AND note_visu IN (1,3,4)

50. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59249'

51. 0.0028

    SELECT ville_cp, ROUND((((acos(sin((50.6*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.6*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.83333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.420135678816 AND ville_latitude_deg<50.779864321184 AND ville_longitude_deg>2.5499583755657 AND ville_longitude_deg<3.1167016244343 HAVING distance <= 20 ORDER BY distance ASC

52. 0.0158

    SELECT ville_cp, ROUND((((acos(sin((50.6*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.6*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.83333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.150339197041 AND ville_latitude_deg<51.049660802959 AND ville_longitude_deg>2.1248948300222 AND ville_longitude_deg<3.5417651699778 HAVING distance <= 50 ORDER BY distance ASC

53. 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 (723,870)

54. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (371324,368323,242188,206723,426374,246185,337774,394654,470000,146240,373906,343500,234378,453595)

55. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (371324,368323,242188,206723,426374,246185,337774,394654,470000,146240,373906,343500,234378,453595)

56. 0.0003

    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=227 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

57. 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='barres de toit' OR ssrubr_slug like '%barres de toit%' OR MATCH (ssrubr_slug) AGAINST ('(+barres +de +toit)')) AND sk.ssrubr_id='870' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

58. 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 = 227 AND ss.ssrubr_id <> 870 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

59. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='870' AND actu_niveau=0 ORDER BY actu_ordre DESC

60. 0.0001

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

61. 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

62. 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 (227) ORDER BY ssrubr_order ASC

63. 0.0009

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

64. 0.0342

    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'

65. 0.0226

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

65 requetes sql en 0.1686