Location avec chauffeur à 62149 Annequin

1. 0.0003

   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. 0.0001

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

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='62'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='62149' AND ville_nom like '%annequin%' 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. 0.0021

   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='62149'

12. 0.0028

    SELECT ville_cp, ROUND((((acos(sin((50.55*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.55*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.73333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.370135678816 AND ville_latitude_deg<50.729864321184 AND ville_longitude_deg>2.4502590021729 AND ville_longitude_deg<3.0164009978271 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='avec chauffeur'

14. 0.0003

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='81'AND MATCH (wish_title,wish_desc) AGAINST ('+avec chauffeur*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '62149%'

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='62149'

19. 0.003

    SELECT ville_cp, ROUND((((acos(sin((50.55*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.55*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.73333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.370135678816 AND ville_latitude_deg<50.729864321184 AND ville_longitude_deg>2.4502590021729 AND ville_longitude_deg<3.0164009978271 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0205

    SELECT ville_cp, ROUND((((acos(sin((50.55*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.55*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.73333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.100339197041 AND ville_latitude_deg<50.999660802959 AND ville_longitude_deg>2.0256464030211 AND ville_longitude_deg<3.4410135969789 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0888

    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((50.55*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.55*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.73333- 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 MATCH (wish_desc) AGAINST ('(+avec +chauffeur*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (62149,62149,62149,62136,62149,62136,62138,62840,62136,62400,59480,62400,62138,62840,62660,62149,62149,62138,62113,62113,62113,59480,62400,59496,62980,62980,62138,62136,59134,62232,62232,62232,62290,62131,62131,59249,62232,59940,62920,59274,62410,62840,59253,62670,59134,59496,62131,59249,62232,62138,62410,62350,62196,62350,62410,62620,62160,59134,62199,59221,62840,59660,62114,62750,59184,62920,62920,62410,59940,62122,62530,59134,59272,62350,62160,59136,62840,62880,59185,62620,62350,62940,62620,62880,62880,59134,59112,62122,62300,62143,59940,62350,59320,62160,62800,62700,59280,62620,59251,62172,62350,62880,62300,59320,59320,62530,62221,62218,62440,59211,62540,59147,62157,62350,62540,59112,59193,59181,62530,59320,62430,62150,59147,62190,59147,62150,59320,62710,62150,59133,62220,59850,59232,62210,59280,62150,62740,59320,62153,62153,62690,62580,62144,59320,59840,59930,62460,59263,62150,62151,62420,59270,62330,59320,62680,62470,62190,62640,59320,62260,62150,59270,59160,62590) 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 = 56656 AND W.type_id = 1) OR (W.util_id <> 56656 AND W.type_id = 2)) AND (M.post_util_id = 56656 OR M.dest_util_id = 56656) 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=56656 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 = 80574 AND W.type_id = 1) OR (W.util_id <> 80574 AND W.type_id = 2)) AND (M.post_util_id = 80574 OR M.dest_util_id = 80574) 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=80574 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 = 115721 AND W.type_id = 1) OR (W.util_id <> 115721 AND W.type_id = 2)) AND (M.post_util_id = 115721 OR M.dest_util_id = 115721) 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=115721 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 = 98880 AND W.type_id = 1) OR (W.util_id <> 98880 AND W.type_id = 2)) AND (M.post_util_id = 98880 OR M.dest_util_id = 98880) 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=98880 AND note_visu IN (1,3,4)

30. 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 = 175533 AND W.type_id = 1) OR (W.util_id <> 175533 AND W.type_id = 2)) AND (M.post_util_id = 175533 OR M.dest_util_id = 175533) 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=175533 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 = 175649 AND W.type_id = 1) OR (W.util_id <> 175649 AND W.type_id = 2)) AND (M.post_util_id = 175649 OR M.dest_util_id = 175649) 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=175649 AND note_visu IN (1,3,4)

34. 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 = 282794 AND W.type_id = 1) OR (W.util_id <> 282794 AND W.type_id = 2)) AND (M.post_util_id = 282794 OR M.dest_util_id = 282794) 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=282794 AND note_visu IN (1,3,4)

36. 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 = 487984 AND W.type_id = 1) OR (W.util_id <> 487984 AND W.type_id = 2)) AND (M.post_util_id = 487984 OR M.dest_util_id = 487984) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

37. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=487984 AND note_visu IN (1,3,4)

38. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='62149'

39. 0.0028

    SELECT ville_cp, ROUND((((acos(sin((50.55*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.55*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.73333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.370135678816 AND ville_latitude_deg<50.729864321184 AND ville_longitude_deg>2.4502590021729 AND ville_longitude_deg<3.0164009978271 HAVING distance <= 20 ORDER BY distance ASC

40. 0.0156

    SELECT ville_cp, ROUND((((acos(sin((50.55*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.55*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.73333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.100339197041 AND ville_latitude_deg<50.999660802959 AND ville_longitude_deg>2.0256464030211 AND ville_longitude_deg<3.4410135969789 HAVING distance <= 50 ORDER BY distance ASC

41. 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 (985,868,1127,862,978)

42. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (56656,175533,282794,487984,175649,115721,98880,80574)

43. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (56656,175533,282794,487984,175649,115721,98880,80574)

44. 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=81 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

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. 0.0016

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

52. 0.0268

    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. 0.0201

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

53 requetes sql en 0.1906