Service lavage auto à 91530 Saint-maurice-montcouronne

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='3' AND cate_title_slug='menage-repassage'

3. 0.0001

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=47

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('91' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='91530' AND ville_nom like '%saint%maurice%montcouronne%' 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 '%lavage%automobile%' OR ssrubr_title like '%lavage%automobile%' OR ssrubr_slug like '%lavage%automobile%') AND cate_id='47' 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='91530'

12. 0.0018

    SELECT ville_cp, ROUND((((acos(sin((48.5333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.5333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.08333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.353435678816 AND ville_latitude_deg<48.713164321184 AND ville_longitude_deg>1.8117069453976 AND ville_longitude_deg<2.3549530546024 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='lavage auto; lavage automobile'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='47' AND ssrubr_id='977' AND wish_visu IN (1,6,10) AND wish_cp like '91530%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=47

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='lavage auto; lavage automobile' OR ssrubr_slug='lavage-auto;-lavage-automobile' OR (ssrubr_title like '%lavage auto; lavage automobile%')) AND cate_id='47' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='lavage-automobile' AND cate_id='47'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='91530'

19. 0.0016

    SELECT ville_cp, ROUND((((acos(sin((48.5333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.5333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.08333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.353435678816 AND ville_latitude_deg<48.713164321184 AND ville_longitude_deg>1.8117069453976 AND ville_longitude_deg<2.3549530546024 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0051

    SELECT ville_cp, ROUND((((acos(sin((48.5333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.5333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.08333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.083639197041 AND ville_latitude_deg<48.982960802959 AND ville_longitude_deg>1.4042665078761 AND ville_longitude_deg<2.7623934921239 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0025

    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((48.5333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.5333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.08333- 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='3' AND cate_id='47' AND ssrubr_id='977' AND wish_visu IN (1,6,10) AND wish_cp IN (91530,91530,91580,91530,91410,91530,91410,91580,91410,91470,91650,91530,91410,91410,91650,91580,91910,91730,91870,91640,91650,91680,78730,78730,91470,91580,78730,91150,91640,91410,91150,78830,91790,91730,91640,91410,91730,78830,91780,91780,91520,91340,91680,78730,78660,91150,91580,91150,91410,91630,91470,91470,91410,91290,91410,78730,91630,91510,91510,91640,91630,91410,91180,91580,91780,91290,78720,91470,91400,91310,78120,91150,91460,78120,78660,91940,91850,91630,91590,28700,78660,91470,91620,78660,91190,91940,78720,78460,91740,91590,91310,91310,91630,91940,28700,78660,78720,91770,91310,91740,91760,78470,91690,91690,78460,91620,91590,91690,78660,91240,91880,91220,91220,91440,78720,28700,91400,91140,91590) 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 (44937,91895,118737,133839,108261,286743,339283,407679,362346)

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 = 44937 AND W.type_id = 1) OR (W.util_id <> 44937 AND W.type_id = 2)) AND (M.post_util_id = 44937 OR M.dest_util_id = 44937) 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=44937 AND note_visu IN (1,3,4)

25. 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 = 91895 AND W.type_id = 1) OR (W.util_id <> 91895 AND W.type_id = 2)) AND (M.post_util_id = 91895 OR M.dest_util_id = 91895) 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=91895 AND note_visu IN (1,3,4)

27. 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 = 118737 AND W.type_id = 1) OR (W.util_id <> 118737 AND W.type_id = 2)) AND (M.post_util_id = 118737 OR M.dest_util_id = 118737) 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=118737 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 = 133839 AND W.type_id = 1) OR (W.util_id <> 133839 AND W.type_id = 2)) AND (M.post_util_id = 133839 OR M.dest_util_id = 133839) 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=133839 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 = 108261 AND W.type_id = 1) OR (W.util_id <> 108261 AND W.type_id = 2)) AND (M.post_util_id = 108261 OR M.dest_util_id = 108261) 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=108261 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 = 286743 AND W.type_id = 1) OR (W.util_id <> 286743 AND W.type_id = 2)) AND (M.post_util_id = 286743 OR M.dest_util_id = 286743) 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=286743 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 = 339283 AND W.type_id = 1) OR (W.util_id <> 339283 AND W.type_id = 2)) AND (M.post_util_id = 339283 OR M.dest_util_id = 339283) 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=339283 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 = 407679 AND W.type_id = 1) OR (W.util_id <> 407679 AND W.type_id = 2)) AND (M.post_util_id = 407679 OR M.dest_util_id = 407679) 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=407679 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 = 362346 AND W.type_id = 1) OR (W.util_id <> 362346 AND W.type_id = 2)) AND (M.post_util_id = 362346 OR M.dest_util_id = 362346) 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=362346 AND note_visu IN (1,3,4)

41. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='91530'

42. 0.0013

    SELECT ville_cp, ROUND((((acos(sin((48.5333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.5333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.08333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.353435678816 AND ville_latitude_deg<48.713164321184 AND ville_longitude_deg>1.8117069453976 AND ville_longitude_deg<2.3549530546024 HAVING distance <= 20 ORDER BY distance ASC

43. 0.0051

    SELECT ville_cp, ROUND((((acos(sin((48.5333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.5333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.08333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.083639197041 AND ville_latitude_deg<48.982960802959 AND ville_longitude_deg>1.4042665078761 AND ville_longitude_deg<2.7623934921239 HAVING distance <= 50 ORDER BY distance ASC

44. 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 (977)

45. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (91895,108261,362346,286743,339283,407679,133839,44937,118737)

46. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (91895,108261,362346,286743,339283,407679,133839,44937,118737)

47. 0.0001

    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='lavage auto; lavage automobile' OR ssrubr_slug like '%lavage auto; lavage automobile%' OR MATCH (ssrubr_slug) AGAINST ('(+lavage +auto; +lavage +automobile)')) AND sk.ssrubr_id='977' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

48. 0.0001

    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 = 3 AND ss.cate_id = 47 AND ss.ssrubr_id <> 977 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

49. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='977' AND actu_niveau=0 ORDER BY actu_ordre DESC

50. 0

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

51. 0.0002

    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='3' AND cate_cate_id IS NULL ORDER BY cate_order ASC

52. 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 (47) ORDER BY ssrubr_order ASC

53. 0.001

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

54. 0.0208

    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'

55. 0.0168

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

55 requetes sql en 0.062