Service transport de personnes à 62680 Méricourt

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='services-divers'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=229

4. 0

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='62'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='62680' AND ville_nom like '%mericourt%' 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 '%transport%personne%' OR ssrubr_title like '%transport%personne%' OR ssrubr_slug like '%transport%personne%') AND cate_id='229' 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='62680'

12. 0.003

    SELECT ville_cp, ROUND((((acos(sin((50.4*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.86667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.220135678816 AND ville_latitude_deg<50.579864321184 AND ville_longitude_deg>2.584495780804 AND ville_longitude_deg<3.148844219196 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='transport personne'

14. 0.0004

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='229'AND MATCH (wish_title,wish_desc) AGAINST ('+transport personne*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '62680%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=229

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='transport personne' OR ssrubr_slug='transport-personne' OR (ssrubr_title like '%transport personne%')) AND cate_id='229' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='transport-personne' AND cate_id='229'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='62680'

19. 0.0029

    SELECT ville_cp, ROUND((((acos(sin((50.4*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.86667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.220135678816 AND ville_latitude_deg<50.579864321184 AND ville_longitude_deg>2.584495780804 AND ville_longitude_deg<3.148844219196 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0192

    SELECT ville_cp, ROUND((((acos(sin((50.4*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.86667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.950339197041 AND ville_latitude_deg<50.849660802959 AND ville_longitude_deg>2.1612283689314 AND ville_longitude_deg<3.5721116310686 HAVING distance <= 50 ORDER BY distance ASC

21. 0.1199

    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((50.4*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.86667- 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='229' AND MATCH (wish_desc) AGAINST ('(+transport +personne*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (62680,62680,62430,62320,62210,62320,62420,62580,62218,62221,62580,62300,62320,62320,62300,62110,62740,62580,62580,62580,62640,62440,62580,62580,62490,62710,62580,62580,62800,62880,62880,62580,62880,62580,62750,62880,62143,62950,62153,62490,62580,62490,62119,62410,62410,62410,62223,62970,62153,62160,62223,62590,62490,62118,62410,62160,59553,62223,62118,62220,62118,62144,62160,62223,62141,62223,62118,62223,62117,62138,59128,59221,62223,59162,62144,59950,59553,59553,62138,62118,62223,62980,62118,59185,62138,62670,62980,62820,62114,59552,62138,62000,62172,62149,62790,59500,62144,59112,59496,62112,59261,59496,62118,62490,62161,62161,59552,62217,59133,62149,62149,62530,59286,62530,59112,59480,59283,59251,59239,62138,62217,62156,62112,59169,62490,62113,62113,62149,62530,59283,62144,62217,62217,62128,59274,62128,59133,62000,59184,62290,62690,59147,62156,59272,62217,59239,62490,62161,62156,62690,62490,62156,62156,62690,62690,59119,62113,62161,59151,59450,59147,62156,62144,62660,59551,59134,62128,62620,59134,62690,59187,59147,59480,62128,62128,62128,59136,59246,59551,59259,59169,59194,62150,62217,62149,62123,62840,62690,62131,62156,62131,62131,62123,62620) 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 = 39168 AND W.type_id = 1) OR (W.util_id <> 39168 AND W.type_id = 2)) AND (M.post_util_id = 39168 OR M.dest_util_id = 39168) 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=39168 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 = 217680 AND W.type_id = 1) OR (W.util_id <> 217680 AND W.type_id = 2)) AND (M.post_util_id = 217680 OR M.dest_util_id = 217680) 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=217680 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 = 146733 AND W.type_id = 1) OR (W.util_id <> 146733 AND W.type_id = 2)) AND (M.post_util_id = 146733 OR M.dest_util_id = 146733) 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=146733 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 = 225158 AND W.type_id = 1) OR (W.util_id <> 225158 AND W.type_id = 2)) AND (M.post_util_id = 225158 OR M.dest_util_id = 225158) 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=225158 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 = 283400 AND W.type_id = 1) OR (W.util_id <> 283400 AND W.type_id = 2)) AND (M.post_util_id = 283400 OR M.dest_util_id = 283400) 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=283400 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 = 455364 AND W.type_id = 1) OR (W.util_id <> 455364 AND W.type_id = 2)) AND (M.post_util_id = 455364 OR M.dest_util_id = 455364) 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=455364 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 = 508080 AND W.type_id = 1) OR (W.util_id <> 508080 AND W.type_id = 2)) AND (M.post_util_id = 508080 OR M.dest_util_id = 508080) 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=508080 AND note_visu IN (1,3,4)

36. 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 = 509880 AND W.type_id = 1) OR (W.util_id <> 509880 AND W.type_id = 2)) AND (M.post_util_id = 509880 OR M.dest_util_id = 509880) 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=509880 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='62680'

39. 0.0029

    SELECT ville_cp, ROUND((((acos(sin((50.4*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.86667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.220135678816 AND ville_latitude_deg<50.579864321184 AND ville_longitude_deg>2.584495780804 AND ville_longitude_deg<3.148844219196 HAVING distance <= 20 ORDER BY distance ASC

40. 0.02

    SELECT ville_cp, ROUND((((acos(sin((50.4*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.86667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.950339197041 AND ville_latitude_deg<50.849660802959 AND ville_longitude_deg>2.1612283689314 AND ville_longitude_deg<3.5721116310686 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 (1064)

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 (225158,455364,283400,217680,509880,39168,508080,146733)

43. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (225158,455364,283400,217680,509880,39168,508080,146733)

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=229 AND ss.fami_id=3 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='transport personne' OR ssrubr_slug like '%transport personne%' OR MATCH (ssrubr_slug) AGAINST ('(+transport +personne)')) AND sk.ssrubr_id='1064' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

46. 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 = 3 AND ss.cate_id = 229 AND ss.ssrubr_id <> 1064 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

47. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='1064' AND actu_niveau=0 ORDER BY actu_ordre DESC

48. 0

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

49. 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

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 (229) 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. 0.0307

    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. 0.0246

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

53 requetes sql en 0.2307