Location compresseur à 91180 Saint-germain-lès-arpajon

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-bricolage'

3. 0.0001

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=87

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='91'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='91180' AND ville_nom like '%saint%germain%les%arpajon%' 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 '%compresseur%' OR ssrubr_title like '%compresseur%' OR ssrubr_slug like '%compresseur%') AND cate_id='87' 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. 0.0022

    SELECT ville_cp, ville_latitude_deg,ville_longitude_deg FROM villes v WHERE ville_cp='91180'

12. 0.0026

    SELECT ville_cp, ROUND((((acos(sin((48.6*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.25- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.420135678816 AND ville_latitude_deg<48.779864321184 AND ville_longitude_deg>1.9780184644561 AND ville_longitude_deg<2.5219815355439 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='compresseur'

14. 0.0006

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='87'AND MATCH (wish_title,wish_desc) AGAINST ('+compresseur*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '91180%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=87

16. 0.0006

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='compresseur' OR ssrubr_slug='compresseur' OR (ssrubr_title like '%compresseur%')) AND cate_id='87' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='compresseur' AND cate_id='87'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='91180'

19. 0.0032

    SELECT ville_cp, ROUND((((acos(sin((48.6*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.25- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.420135678816 AND ville_latitude_deg<48.779864321184 AND ville_longitude_deg>1.9780184644561 AND ville_longitude_deg<2.5219815355439 HAVING distance <= 20 ORDER BY distance ASC

20. 0.008

    SELECT ville_cp, ROUND((((acos(sin((48.6*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.25- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.150339197041 AND ville_latitude_deg<49.049660802959 AND ville_longitude_deg>1.5700402977943 AND ville_longitude_deg<2.9299597022057 HAVING distance <= 50 ORDER BY distance ASC

21. 0.1371

    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((48.6*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.25- 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='87' AND MATCH (wish_desc) AGAINST ('(+compresseur*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (91180,91180,91290,91310,91290,91340,91520,91680,91630,91310,91630,91310,91460,91310,91240,91630,91220,91220,91620,91630,91620,91790,91650,91630,91700,91650,91700,91680,91730,91640,91160,91650,91730,91910,91360,91640,91510,91140,91510,91700,91160,91810,91730,91940,91360,91770,91640,91850,91640,91070,91530,91710,91390,91600,91580,91940,91760,91140,91470,91080,91160,91350,91530,91540,91160,91380,91580,91400,91090,91400,91170,91540,91190,91940,91420,91440,91580,91610,91120,91580,91590,91000,91130,91470,91260,91580,91470,91530,91540,91540,91530,91580,91100,91590,91590,91300,91430,91000,91090,91430,91210,91470,91750,91190,91550,91590,91450,91470,91320,78830,91400,91190,91450,91410,78470,91270,91590,91370,91570,91590,91200,92160,91150,91100,91250,91470,94260,91750,91410,91590,94480,91590,94150,91250,78460,91230,78830,78117,91280,92290,91410,91830,91250,91830,91150,91250,91880,94290,91870,78117,78460,78350,91560,78730,78730,94550,91150,94310,94390) AND type_id=1 GROUP BY wish_id

22. 0.0011

    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 = 152855 AND W.type_id = 1) OR (W.util_id <> 152855 AND W.type_id = 2)) AND (M.post_util_id = 152855 OR M.dest_util_id = 152855) 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=152855 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 = 205896 AND W.type_id = 1) OR (W.util_id <> 205896 AND W.type_id = 2)) AND (M.post_util_id = 205896 OR M.dest_util_id = 205896) 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=205896 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 = 307821 AND W.type_id = 1) OR (W.util_id <> 307821 AND W.type_id = 2)) AND (M.post_util_id = 307821 OR M.dest_util_id = 307821) 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=307821 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 = 337317 AND W.type_id = 1) OR (W.util_id <> 337317 AND W.type_id = 2)) AND (M.post_util_id = 337317 OR M.dest_util_id = 337317) 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=337317 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 = 371481 AND W.type_id = 1) OR (W.util_id <> 371481 AND W.type_id = 2)) AND (M.post_util_id = 371481 OR M.dest_util_id = 371481) 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=371481 AND note_visu IN (1,3,4)

32. 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 = 396213 AND W.type_id = 1) OR (W.util_id <> 396213 AND W.type_id = 2)) AND (M.post_util_id = 396213 OR M.dest_util_id = 396213) 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=396213 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 = 407660 AND W.type_id = 1) OR (W.util_id <> 407660 AND W.type_id = 2)) AND (M.post_util_id = 407660 OR M.dest_util_id = 407660) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

35. 0.0002

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=407660 AND note_visu IN (1,3,4)

36. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='91180'

37. 0.0017

    SELECT ville_cp, ROUND((((acos(sin((48.6*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.25- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.420135678816 AND ville_latitude_deg<48.779864321184 AND ville_longitude_deg>1.9780184644561 AND ville_longitude_deg<2.5219815355439 HAVING distance <= 20 ORDER BY distance ASC

38. 0.0077

    SELECT ville_cp, ROUND((((acos(sin((48.6*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.25- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.150339197041 AND ville_latitude_deg<49.049660802959 AND ville_longitude_deg>1.5700402977943 AND ville_longitude_deg<2.9299597022057 HAVING distance <= 50 ORDER BY distance ASC

39. 0.0003

    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 (71,756)

40. 0.0003

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (205896,337317,407660,396213,371481,152855,307821)

41. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (205896,337317,407660,396213,371481,152855,307821)

42. 0.0004

    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=87 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

43. 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='compresseur' OR ssrubr_slug like '%compresseur%' OR MATCH (ssrubr_slug) AGAINST ('(+compresseur)')) AND sk.ssrubr_id='71' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

44. 0.0005

    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 = 87 AND ss.ssrubr_id <> 71 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

45. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='71' AND actu_niveau=0 ORDER BY actu_ordre DESC

46. 0.0001

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

47. 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

48. 0.0003

    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 (87) ORDER BY ssrubr_order ASC

49. 0.001

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

50. 0.0398

    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'

51. 0.0303

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

51 requetes sql en 0.2426