Location skipper à 20137 Lecci

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='bateau'

3. 0.0001

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=83

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='20'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='20137' AND ville_nom like '%lecci%' 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 '%bateau%avec%skipper%' OR ssrubr_title like '%bateau%avec%skipper%' OR ssrubr_slug like '%bateau%avec%skipper%') AND cate_id='83' 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. 0.0002

    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. 0.0002

    SELECT ville_cp, ville_latitude_deg,ville_longitude_deg FROM villes v WHERE ville_cp='20137'

12. 0.0024

    SELECT ville_cp, ROUND((((acos(sin((45.4643*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.4643*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((9.1895- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.284435678816 AND ville_latitude_deg<45.644164321184 AND ville_longitude_deg>8.9330464344256 AND ville_longitude_deg<9.4459535655744 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='skipper; bateau avec skipper'

14. 0.0006

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='83'AND MATCH (wish_title,wish_desc) AGAINST ('+skipper; bateau avec skipper*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '20137%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=83

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='skipper; bateau avec skipper' OR ssrubr_slug='skipper;-bateau-avec-skipper' OR (ssrubr_title like '%skipper; bateau avec skipper%')) AND cate_id='83' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='bateau-avec-skipper' AND cate_id='83'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='20137'

19. 0.0024

    SELECT ville_cp, ROUND((((acos(sin((45.4643*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.4643*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((9.1895- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.284435678816 AND ville_latitude_deg<45.644164321184 AND ville_longitude_deg>8.9330464344256 AND ville_longitude_deg<9.4459535655744 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0078

    SELECT ville_cp, ROUND((((acos(sin((45.4643*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.4643*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((9.1895- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.014639197041 AND ville_latitude_deg<45.913960802959 AND ville_longitude_deg>8.5483605574683 AND ville_longitude_deg<9.8306394425317 HAVING distance <= 50 ORDER BY distance ASC

21. 0.1722

    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((45.4643*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.4643*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((9.1895- 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='83' AND MATCH (wish_desc) AGAINST ('(+skipper; +bateau +avec +skipper*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (20137,20159,20162,20145,20156,20125,20162,20155,20154,20146,20124,20123,20158,20157,20121,20144,20161,20148,20147,20122,20126,20153,20128,20136,20137,20138,20139,20139,20141,20142,20143,20135,20151,20129,20149,20127,20131,20152,20132,20133,20134,20125,20125,20161,20157,20143,20134,20090,20090,20090,20125,20153,20020,20138,20142,20127,20151,20068,20161,20157,20094,20090,20090,20068,20152,20090,20090,20090,20090,20089,20057,20097,20099,20091,20097,20097,20032,20026,20032,20068,20097,20098,20021,20090,20054,20153,20090,20016,20055,20016,20089,20068,20032,20095,20095,20021,20098,20068,20093,20093,20090,20073,20068,20019,20021,20092,20096,20090,20096,20098,20080,20068,20090,20090,20096,20037,20037,20019,20079,20047,20085,20060,20072,20053,20090,20044,20861,20058,20063,20048,20030,20007,20076,20080,20083,20834,20017,20060,20835,20017,20017,20017,20900,20900,20060,20051,20075,20010,20017,20083,20814,20008,20061,20024,20024,20052,20090,20074,20006,20090,20049,20083,20067,20077,20812,20082,20082,20046,20060,20070,20080,20041,20084,20060,20813,20813,20020,20813,27010,20082,20070,20070,20043,20851,20031,20832,20854,20067,20018,20070,20005,20050,20864,20045,26831,20010,20080,26837,20042,20059,20010,20060,20060,20060,20060,20863,20812,20088,20811,20814,20811,20812,20811,20812,27015,20071,20071,20852,20064,20066,20867,20088,21042,20811,20033,20009,26831,20070,26833,20851,27010,20014,20014,26837,26858,20080,20853,27018,20861,20865,20864,20070,20004,20068,26839,20040,20080,21040) AND type_id=1 GROUP BY wish_id

22. 0.0003

    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 = 248750 AND W.type_id = 1) OR (W.util_id <> 248750 AND W.type_id = 2)) AND (M.post_util_id = 248750 OR M.dest_util_id = 248750) 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=248750 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 = 441254 AND W.type_id = 1) OR (W.util_id <> 441254 AND W.type_id = 2)) AND (M.post_util_id = 441254 OR M.dest_util_id = 441254) 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=441254 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 = 312409 AND W.type_id = 1) OR (W.util_id <> 312409 AND W.type_id = 2)) AND (M.post_util_id = 312409 OR M.dest_util_id = 312409) 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=312409 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 = 549883 AND W.type_id = 1) OR (W.util_id <> 549883 AND W.type_id = 2)) AND (M.post_util_id = 549883 OR M.dest_util_id = 549883) 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=549883 AND note_visu IN (1,3,4)

30. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='20137'

31. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((45.4643*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.4643*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((9.1895- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.284435678816 AND ville_latitude_deg<45.644164321184 AND ville_longitude_deg>8.9330464344256 AND ville_longitude_deg<9.4459535655744 HAVING distance <= 20 ORDER BY distance ASC

32. 0.0078

    SELECT ville_cp, ROUND((((acos(sin((45.4643*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.4643*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((9.1895- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.014639197041 AND ville_latitude_deg<45.913960802959 AND ville_longitude_deg>8.5483605574683 AND ville_longitude_deg<9.8306394425317 HAVING distance <= 50 ORDER BY distance ASC

33. 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 (428,1097,434)

34. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (549883,441254,248750,312409)

35. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (549883,441254,248750,312409)

36. 0.0002

    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=83 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

37. 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='skipper; bateau avec skipper' OR ssrubr_slug like '%skipper; bateau avec skipper%' OR MATCH (ssrubr_slug) AGAINST ('(+skipper; +bateau +avec +skipper)')) AND sk.ssrubr_id='1097' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

38. 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 = 83 AND ss.ssrubr_id <> 1097 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

39. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='1097' AND actu_niveau=0 ORDER BY actu_ordre DESC

40. 0.0001

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

41. 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

42. 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 (83) ORDER BY ssrubr_order ASC

43. 0.0011

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

44. 0.0245

    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'

45. 0.0172

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

45 requetes sql en 0.2435