Service multi services à 14280 Saint-germain-la-blanche-herbe

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='bricolage'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=50

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='14'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='14280' AND ville_nom like '%saint%germain%la%blanche%herbe%' 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 '%multi%services%' OR ssrubr_title like '%multi%services%' OR ssrubr_slug like '%multi%services%') AND cate_id='50' 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='14280'

12. 0.0037

    SELECT ville_cp, ROUND((((acos(sin((49.2*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.2*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.433333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.020135678816 AND ville_latitude_deg<49.379864321184 AND ville_longitude_deg>-0.70859921521544 AND ville_longitude_deg<-0.15806678478456 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='multi services'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='50'AND MATCH (wish_title,wish_desc) AGAINST ('+multi services*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '14280%'

15. 0

    SELECT * FROM texte WHERE cate_id=50

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='multi services' OR ssrubr_slug='multi-services' OR (ssrubr_title like '%multi services%')) AND cate_id='50' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='multi-services' AND cate_id='50'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='14280'

19. 0.0035

    SELECT ville_cp, ROUND((((acos(sin((49.2*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.2*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.433333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.020135678816 AND ville_latitude_deg<49.379864321184 AND ville_longitude_deg>-0.70859921521544 AND ville_longitude_deg<-0.15806678478456 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0213

    SELECT ville_cp, ROUND((((acos(sin((49.2*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.2*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.433333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.750339197041 AND ville_latitude_deg<49.649660802959 AND ville_longitude_deg>-1.1215044721952 AND ville_longitude_deg<0.25483847219523 HAVING distance <= 50 ORDER BY distance ASC

21. 0.077

    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((49.2*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.2*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.433333- 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='50' AND MATCH (wish_desc) AGAINST ('(+multi +services*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (14280,14280,14650,14980,14280,14280,14760,14740,14740,14610,14610,14111,14610,14740,14930,14610,14790,14790,14740,14000,14790,14123,14610,14210,14740,14920,14740,14930,14610,14610,14610,14210,14480,14740,14200,14112,14210,14123,14480,14120,14740,14440,14610,14610,14320,14480,14112,14210,14210,14123,14460,14250,14440,14320,14550,14210,14320,14250,14250,14440,14440,14730,14210,14210,14930,14480,14540,14470,14210,14250,14480,14480,14480,14250,14320,14210,14210,14540,14480,14970,14250,14540,14840,14840,14880,14210,14480,14320,14740,14530,14480,14210,14970,14210,14320,14740,14250,14480,14880,14540,14540,14250,14850,14250,14320,14860,14250,14480,14210,14830,14780,14210,14540,14480,14630,14250,14850,14250,14990,14220,14470,14860,14400,14750,14470,14400,14400,14400,14310,14630,14210,14480,14860,14400,14480,14250,14540,14310,14680,14940,14940,14940,14150,14121,14400,14114,14250,14630,14220,14220,14220,14310,14250,14210,14210,14370,14960,14260,14310,14540,14250,14210,14680,14250,14670,14370,14310,14960,14400,14860,14670,14400,14310,14210,14220,14810,14210,14400,14960,14400,14370,14540,14210,14810,14117,14260,14680) 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 = 40901 AND W.type_id = 1) OR (W.util_id <> 40901 AND W.type_id = 2)) AND (M.post_util_id = 40901 OR M.dest_util_id = 40901) 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=40901 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 = 213954 AND W.type_id = 1) OR (W.util_id <> 213954 AND W.type_id = 2)) AND (M.post_util_id = 213954 OR M.dest_util_id = 213954) 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=213954 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 = 244727 AND W.type_id = 1) OR (W.util_id <> 244727 AND W.type_id = 2)) AND (M.post_util_id = 244727 OR M.dest_util_id = 244727) 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=244727 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 = 387222 AND W.type_id = 1) OR (W.util_id <> 387222 AND W.type_id = 2)) AND (M.post_util_id = 387222 OR M.dest_util_id = 387222) 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=387222 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 = 394382 AND W.type_id = 1) OR (W.util_id <> 394382 AND W.type_id = 2)) AND (M.post_util_id = 394382 OR M.dest_util_id = 394382) 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=394382 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 = 18786 AND W.type_id = 1) OR (W.util_id <> 18786 AND W.type_id = 2)) AND (M.post_util_id = 18786 OR M.dest_util_id = 18786) 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=18786 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 = 80406 AND W.type_id = 1) OR (W.util_id <> 80406 AND W.type_id = 2)) AND (M.post_util_id = 80406 OR M.dest_util_id = 80406) 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=80406 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='14280'

37. 0.0034

    SELECT ville_cp, ROUND((((acos(sin((49.2*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.2*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.433333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.020135678816 AND ville_latitude_deg<49.379864321184 AND ville_longitude_deg>-0.70859921521544 AND ville_longitude_deg<-0.15806678478456 HAVING distance <= 20 ORDER BY distance ASC

38. 0.025

    SELECT ville_cp, ROUND((((acos(sin((49.2*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.2*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.433333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.750339197041 AND ville_latitude_deg<49.649660802959 AND ville_longitude_deg>-1.1215044721952 AND ville_longitude_deg<0.25483847219523 HAVING distance <= 50 ORDER BY distance ASC

39. 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 (595)

40. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (394382,213954,80406,387222,244727,18786,40901)

41. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (394382,213954,80406,387222,244727,18786,40901)

42. 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=50 AND ss.fami_id=3 ORDER BY ssrubr_order LIMIT 6,100

43. 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='multi services' OR ssrubr_slug like '%multi services%' OR MATCH (ssrubr_slug) AGAINST ('(+multi +services)')) AND sk.ssrubr_id='595' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

44. 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 = 3 AND ss.cate_id = 50 AND ss.ssrubr_id <> 595 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

45. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='595' 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. 0.0002

    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

48. 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 (50) ORDER BY ssrubr_order ASC

49. 0.0009

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

50. 0.0317

    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. 0.0197

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

51 requetes sql en 0.1928