Location avec chauffeur à 78650 Beynes

1. 0.0001

   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='voiture'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=81

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('78' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='78650' AND ville_nom like '%beynes%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0004

   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. 0.0016

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%avec%chauffeur%' OR ssrubr_title like '%avec%chauffeur%' OR ssrubr_slug like '%avec%chauffeur%') AND cate_id='81' 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='78650'

12. 0.0019

    SELECT ville_cp, ROUND((((acos(sin((48.8333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.83333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.653435678816 AND ville_latitude_deg<49.013164321184 AND ville_longitude_deg>1.5600841866782 AND ville_longitude_deg<2.1065758133218 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='avec chauffeur'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='81' AND ssrubr_id='868' AND wish_visu IN (1,6,10) AND wish_cp like '78650%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=81

16. 0.0003

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='avec chauffeur' OR ssrubr_slug='avec-chauffeur' OR (ssrubr_title like '%avec chauffeur%')) AND cate_id='81' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='avec-chauffeur' AND cate_id='81'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='78650'

19. 0.0023

    SELECT ville_cp, ROUND((((acos(sin((48.8333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.83333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.653435678816 AND ville_latitude_deg<49.013164321184 AND ville_longitude_deg>1.5600841866782 AND ville_longitude_deg<2.1065758133218 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0067

    SELECT ville_cp, ROUND((((acos(sin((48.8333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.83333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.383639197041 AND ville_latitude_deg<49.282960802959 AND ville_longitude_deg>1.1502095760945 AND ville_longitude_deg<2.5164504239055 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0042

    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((48.8333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.83333- 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='81' AND ssrubr_id='868' AND wish_visu IN (1,6,10) AND wish_cp IN (78650,78650,78770,78490,78490,78640,78770,78650,78770,78640,78490,78770,78640,78770,78640,78490,78490,78770,78490,78490,78124,78490,78940,78890,78850,78910,78760,78490,78770,78910,78124,78940,78810,78580,78370,78121,78490,78910,78580,78310,78910,78690,78580,78790,78990,78790,78790,78810,78930,78910,78310,78580,78450,78340,78126,78580,78910,78490,78930,78320,78550,78410,78410,78680,78790,78630,78930,78190,78450,78860,78610,78690,78390,78550,78790,78950,78920,78790,78630,78790,78930,78930,78320,78610,78610,78410,78410,78970,78910,78610,78200,78113,78240,78320,78930,78410,78440,78590,78330,78930,78910,78550,78240,78790,78180,78113,78130,78550,78711,78200,78590,78200,78470,78620,78210,78111,78550,78125,78670,78670,78200,78112,78550,78720,78520,78960,78910,78870,78540,78200,78125,78440,78820,78280,78200,78160,78113,78200,78440,78250,78750,78790,78250,78720,78300,78980,78470,78130,78955,28410,78790,78100,78480,78720,78200) 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 (149622,167301,2579,304283,20108,315600,476038,405018)

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 = 149622 AND W.type_id = 1) OR (W.util_id <> 149622 AND W.type_id = 2)) AND (M.post_util_id = 149622 OR M.dest_util_id = 149622) 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=149622 AND note_visu IN (1,3,4)

25. 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 = 167301 AND W.type_id = 1) OR (W.util_id <> 167301 AND W.type_id = 2)) AND (M.post_util_id = 167301 OR M.dest_util_id = 167301) 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=167301 AND note_visu IN (1,3,4)

27. 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 = 2579 AND W.type_id = 1) OR (W.util_id <> 2579 AND W.type_id = 2)) AND (M.post_util_id = 2579 OR M.dest_util_id = 2579) 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=2579 AND note_visu IN (1,3,4)

29. 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 = 304283 AND W.type_id = 1) OR (W.util_id <> 304283 AND W.type_id = 2)) AND (M.post_util_id = 304283 OR M.dest_util_id = 304283) 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=304283 AND note_visu IN (1,3,4)

31. 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 = 20108 AND W.type_id = 1) OR (W.util_id <> 20108 AND W.type_id = 2)) AND (M.post_util_id = 20108 OR M.dest_util_id = 20108) 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=20108 AND note_visu IN (1,3,4)

33. 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 = 315600 AND W.type_id = 1) OR (W.util_id <> 315600 AND W.type_id = 2)) AND (M.post_util_id = 315600 OR M.dest_util_id = 315600) 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=315600 AND note_visu IN (1,3,4)

35. 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 = 476038 AND W.type_id = 1) OR (W.util_id <> 476038 AND W.type_id = 2)) AND (M.post_util_id = 476038 OR M.dest_util_id = 476038) 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=476038 AND note_visu IN (1,3,4)

37. 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 = 405018 AND W.type_id = 1) OR (W.util_id <> 405018 AND W.type_id = 2)) AND (M.post_util_id = 405018 OR M.dest_util_id = 405018) 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=405018 AND note_visu IN (1,3,4)

39. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='78650'

40. 0.0027

    SELECT ville_cp, ROUND((((acos(sin((48.8333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.83333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.653435678816 AND ville_latitude_deg<49.013164321184 AND ville_longitude_deg>1.5600841866782 AND ville_longitude_deg<2.1065758133218 HAVING distance <= 20 ORDER BY distance ASC

41. 0.0073

    SELECT ville_cp, ROUND((((acos(sin((48.8333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.83333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.383639197041 AND ville_latitude_deg<49.282960802959 AND ville_longitude_deg>1.1502095760945 AND ville_longitude_deg<2.5164504239055 HAVING distance <= 50 ORDER BY distance ASC

42. 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 (868)

43. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (2579,149622,304283,167301,405018,20108,476038,315600)

44. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (2579,149622,304283,167301,405018,20108,476038,315600)

45. 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='avec chauffeur' OR ssrubr_slug like '%avec chauffeur%' OR MATCH (ssrubr_slug) AGAINST ('(+avec +chauffeur)')) AND sk.ssrubr_id='868' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

46. 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 = 5 AND ss.cate_id = 81 AND ss.ssrubr_id <> 868 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

47. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='868' AND actu_niveau=0 ORDER BY actu_ordre DESC

48. 0.0001

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

49. 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

50. 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 (81) ORDER BY ssrubr_order ASC

51. 0.0009

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

52. 0.0252

    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'

53. 0.0187

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

53 requetes sql en 0.0779