Location injecteur extracteur à 59193 Erquinghem-lys

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

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

4. 0

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='59'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='59193' AND ville_nom like '%erquinghem%lys%' 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. 0.0002

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%injecteur%extracteur%' OR ssrubr_title like '%injecteur%extracteur%' OR ssrubr_slug like '%injecteur%extracteur%') 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='59193'

12. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((50.6833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.6833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.85- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.503435678816 AND ville_latitude_deg<50.863164321184 AND ville_longitude_deg>2.5661256302334 AND ville_longitude_deg<3.1338743697666 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='extracteur; injecteur extracteur'

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 ('+extracteur; injecteur extracteur*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '59193%'

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='extracteur; injecteur extracteur' OR ssrubr_slug='extracteur;-injecteur-extracteur' OR (ssrubr_title like '%extracteur; injecteur extracteur%')) 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='injecteur-extracteur' AND cate_id='110'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59193'

19. 0.0021

    SELECT ville_cp, ROUND((((acos(sin((50.6833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.6833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.85- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.503435678816 AND ville_latitude_deg<50.863164321184 AND ville_longitude_deg>2.5661256302334 AND ville_longitude_deg<3.1338743697666 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0064

    SELECT ville_cp, ROUND((((acos(sin((50.6833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.6833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.85- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.233639197041 AND ville_latitude_deg<51.132960802959 AND ville_longitude_deg>2.1403079558533 AND ville_longitude_deg<3.5596920441467 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0669

    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((50.6833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.6833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.85- 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 ('(+extracteur; +injecteur +extracteur*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (59193,59193,59850,59280,59930,7783,62840,59280,59116,59181,7782,59236,62840,8950,59134,59840,62840,59840,8952,59320,59890,59320,59160,59249,59249,59940,59320,59320,8957,59270,59320,59560,7784,8951,59134,8950,59237,59840,59940,59320,59890,8956,59134,7784,59211,8953,59270,59253,59320,62840,8958,59134,59134,59480,59270,59320,59270,59940,59130,7780,7780,59136,62840,59120,62136,59350,62136,7781,59320,59118,62136,8954,8902,59274,59560,8902,59184,59520,59270,62136,59232,8900,59272,8970,59270,59110,59270,59139,59000,59160,59777,59350,59660,59800,59700,59496,59496,59299,59263,59117,59147,62149,59480,8980,8940,62138,59126,59223,59250,59147,8902,59112,59910,59139,62350,59251,62400,62149,59190,62138,62138,59221,59370,8900,62138,59166,59155,59190,62138,59185,59270,59147,59175,8908,59190,8980,62400,59113,62149,59790) 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 = 115590 AND W.type_id = 1) OR (W.util_id <> 115590 AND W.type_id = 2)) AND (M.post_util_id = 115590 OR M.dest_util_id = 115590) 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=115590 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 = 110886 AND W.type_id = 1) OR (W.util_id <> 110886 AND W.type_id = 2)) AND (M.post_util_id = 110886 OR M.dest_util_id = 110886) 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=110886 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 = 100454 AND W.type_id = 1) OR (W.util_id <> 100454 AND W.type_id = 2)) AND (M.post_util_id = 100454 OR M.dest_util_id = 100454) 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=100454 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 = 198886 AND W.type_id = 1) OR (W.util_id <> 198886 AND W.type_id = 2)) AND (M.post_util_id = 198886 OR M.dest_util_id = 198886) 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=198886 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 = 270199 AND W.type_id = 1) OR (W.util_id <> 270199 AND W.type_id = 2)) AND (M.post_util_id = 270199 OR M.dest_util_id = 270199) 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=270199 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 = 272866 AND W.type_id = 1) OR (W.util_id <> 272866 AND W.type_id = 2)) AND (M.post_util_id = 272866 OR M.dest_util_id = 272866) 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=272866 AND note_visu IN (1,3,4)

34. 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 = 114058 AND W.type_id = 1) OR (W.util_id <> 114058 AND W.type_id = 2)) AND (M.post_util_id = 114058 OR M.dest_util_id = 114058) 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=114058 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 = 307345 AND W.type_id = 1) OR (W.util_id <> 307345 AND W.type_id = 2)) AND (M.post_util_id = 307345 OR M.dest_util_id = 307345) 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=307345 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 = 334607 AND W.type_id = 1) OR (W.util_id <> 334607 AND W.type_id = 2)) AND (M.post_util_id = 334607 OR M.dest_util_id = 334607) 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=334607 AND note_visu IN (1,3,4)

40. 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 = 354828 AND W.type_id = 1) OR (W.util_id <> 354828 AND W.type_id = 2)) AND (M.post_util_id = 354828 OR M.dest_util_id = 354828) 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=354828 AND note_visu IN (1,3,4)

42. 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 = 353211 AND W.type_id = 1) OR (W.util_id <> 353211 AND W.type_id = 2)) AND (M.post_util_id = 353211 OR M.dest_util_id = 353211) 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=353211 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 = 378141 AND W.type_id = 1) OR (W.util_id <> 378141 AND W.type_id = 2)) AND (M.post_util_id = 378141 OR M.dest_util_id = 378141) 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=378141 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 = 303709 AND W.type_id = 1) OR (W.util_id <> 303709 AND W.type_id = 2)) AND (M.post_util_id = 303709 OR M.dest_util_id = 303709) 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=303709 AND note_visu IN (1,3,4)

48. 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 = 458298 AND W.type_id = 1) OR (W.util_id <> 458298 AND W.type_id = 2)) AND (M.post_util_id = 458298 OR M.dest_util_id = 458298) 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=458298 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='59193'

51. 0.0019

    SELECT ville_cp, ROUND((((acos(sin((50.6833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.6833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.85- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.503435678816 AND ville_latitude_deg<50.863164321184 AND ville_longitude_deg>2.5661256302334 AND ville_longitude_deg<3.1338743697666 HAVING distance <= 20 ORDER BY distance ASC

52. 0.0065

    SELECT ville_cp, ROUND((((acos(sin((50.6833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.6833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.85- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.233639197041 AND ville_latitude_deg<51.132960802959 AND ville_longitude_deg>2.1403079558533 AND ville_longitude_deg<3.5596920441467 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 (1076,1170,747)

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 (272866,307345,353211,110886,100454,114058,198886,334607,115590,378141,354828,270199,458298,303709)

55. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (272866,307345,353211,110886,100454,114058,198886,334607,115590,378141,354828,270199,458298,303709)

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=110 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='extracteur; injecteur extracteur' OR ssrubr_slug like '%extracteur; injecteur extracteur%' OR MATCH (ssrubr_slug) AGAINST ('(+extracteur; +injecteur +extracteur)')) AND sk.ssrubr_id='1076' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

58. 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 <> 1076 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

59. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='1076' 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 (110) ORDER BY ssrubr_order ASC

63. 0.001

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

64. 0.0282

    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. 0.0232

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

65 requetes sql en 0.1468