Service avec camion à 95340 Persan

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. 0.0003

   SELECT cate_id FROM category WHERE fami_id='3' AND cate_title_slug='demenagement'

3. 0.0001

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=42

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('95' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0002

   SELECT ville_nom FROM villes WHERE ville_cp='95340' AND ville_nom like '%persan%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0008

   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 '%avec%camion%' OR ssrubr_title like '%avec%camion%' OR ssrubr_slug like '%avec%camion%') AND cate_id='42' ORDER BY ssrubr_id LIMIT 0,1

8. 0.0002

   SHOW TABLES LIKE 'pays'

9. 0.0003

   SHOW COLUMNS FROM pays LIKE 'pays_tel_%'

10. 0.0005

    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='95340'

12. 0.0034

    SELECT ville_cp, ROUND((((acos(sin((49.15*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.15*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.26667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.970135678816 AND ville_latitude_deg<49.329864321184 AND ville_longitude_deg>1.9916816909395 AND ville_longitude_deg<2.5416583090605 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='camion; avec camion'

14. 0.0552

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='42' AND ssrubr_id='947' AND wish_visu IN (1,6,10) AND wish_cp like '95340%'

15. 0.0031

    SELECT * FROM texte WHERE cate_id=42

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='camion; avec camion' OR ssrubr_slug='camion;-avec-camion' OR (ssrubr_title like '%camion; avec camion%')) AND cate_id='42' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='avec-camion' AND cate_id='42'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='95340'

19. 0.009

    SELECT ville_cp, ROUND((((acos(sin((49.15*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.15*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.26667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.970135678816 AND ville_latitude_deg<49.329864321184 AND ville_longitude_deg>1.9916816909395 AND ville_longitude_deg<2.5416583090605 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0581

    SELECT ville_cp, ROUND((((acos(sin((49.15*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.15*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.26667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.700339197041 AND ville_latitude_deg<49.599660802959 AND ville_longitude_deg>1.5791932991832 AND ville_longitude_deg<2.9541467008168 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0228

    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((49.15*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.15*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.26667- 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='42' AND ssrubr_id='947' AND wish_visu IN (1,6,10) AND wish_cp IN (95340,95340,95260,95260,60230,95660,95590,95340,60530,95820,95340,95290,95590,95620,95270,60530,60530,60820,95690,95270,60540,60540,95690,95760,95270,60530,95590,60540,95270,95560,60530,95690,95690,95430,95630,60540,60460,60530,60530,95560,95840,60540,95560,60110,95270,60460,95570,95540,95810,95560,95300,95840,95270,95570,95270,60270,95740,95430,60260,95810,95570,60340,60110,95570,95810,95270,60340,60730,95270,60570,95300,60110,95720,95550,95150,95330,60730,60570,95270,95270,95810,60580,60660,95720,95390,60660,95320,95680,60660,60730,95460,95810,95810,60740,95300,60250,95850,95850,60660,60660,60500,95270,95310,60730,95250,95810,95350,95640,60175,95190,95650,60160,60110,95300,95480,60500,60119,60730,95600,95470,95130,95580,95580,95720,95440,95520,95190,60250,95160,60160,95640,95350,95220,60560,95380,95670,95120,95830,95230,95130,60570,95400,95200,60250,60119,60110,95240,95610,95720,95170,60660,60430,60173,95650,95640,60149,60180,60520,95000,95370,60250,95410,60119,60240,95830,60790) AND type_id=1 GROUP BY wish_id

22. 0.001

    SELECT util_id, util_photo, util_prenom, util_nom, stripe_account_id, util_verify FROM util_info WHERE util_id IN (46769,64614,123783,130446,217674,229577,277978,303627,310697,352882,445249,282009)

23. 0.0046

    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 = 46769 AND W.type_id = 1) OR (W.util_id <> 46769 AND W.type_id = 2)) AND (M.post_util_id = 46769 OR M.dest_util_id = 46769) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

24. 0.0006

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=46769 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 = 64614 AND W.type_id = 1) OR (W.util_id <> 64614 AND W.type_id = 2)) AND (M.post_util_id = 64614 OR M.dest_util_id = 64614) 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=64614 AND note_visu IN (1,3,4)

27. 0.0019

    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 = 123783 AND W.type_id = 1) OR (W.util_id <> 123783 AND W.type_id = 2)) AND (M.post_util_id = 123783 OR M.dest_util_id = 123783) 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=123783 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 = 130446 AND W.type_id = 1) OR (W.util_id <> 130446 AND W.type_id = 2)) AND (M.post_util_id = 130446 OR M.dest_util_id = 130446) 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=130446 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 = 217674 AND W.type_id = 1) OR (W.util_id <> 217674 AND W.type_id = 2)) AND (M.post_util_id = 217674 OR M.dest_util_id = 217674) 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=217674 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 = 229577 AND W.type_id = 1) OR (W.util_id <> 229577 AND W.type_id = 2)) AND (M.post_util_id = 229577 OR M.dest_util_id = 229577) 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=229577 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 = 277978 AND W.type_id = 1) OR (W.util_id <> 277978 AND W.type_id = 2)) AND (M.post_util_id = 277978 OR M.dest_util_id = 277978) 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=277978 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 = 303627 AND W.type_id = 1) OR (W.util_id <> 303627 AND W.type_id = 2)) AND (M.post_util_id = 303627 OR M.dest_util_id = 303627) 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=303627 AND note_visu IN (1,3,4)

39. 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 = 310697 AND W.type_id = 1) OR (W.util_id <> 310697 AND W.type_id = 2)) AND (M.post_util_id = 310697 OR M.dest_util_id = 310697) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

40. 0.0006

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=310697 AND note_visu IN (1,3,4)

41. 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 = 352882 AND W.type_id = 1) OR (W.util_id <> 352882 AND W.type_id = 2)) AND (M.post_util_id = 352882 OR M.dest_util_id = 352882) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

42. 0.0004

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=352882 AND note_visu IN (1,3,4)

43. 0.0007

    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 = 445249 AND W.type_id = 1) OR (W.util_id <> 445249 AND W.type_id = 2)) AND (M.post_util_id = 445249 OR M.dest_util_id = 445249) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

44. 0.0005

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=445249 AND note_visu IN (1,3,4)

45. 0.001

    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 = 282009 AND W.type_id = 1) OR (W.util_id <> 282009 AND W.type_id = 2)) AND (M.post_util_id = 282009 OR M.dest_util_id = 282009) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

46. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=282009 AND note_visu IN (1,3,4)

47. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='95340'

48. 0.0148

    SELECT ville_cp, ROUND((((acos(sin((49.15*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.15*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.26667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.970135678816 AND ville_latitude_deg<49.329864321184 AND ville_longitude_deg>1.9916816909395 AND ville_longitude_deg<2.5416583090605 HAVING distance <= 20 ORDER BY distance ASC

49. 0.0589

    SELECT ville_cp, ROUND((((acos(sin((49.15*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.15*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.26667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.700339197041 AND ville_latitude_deg<49.599660802959 AND ville_longitude_deg>1.5791932991832 AND ville_longitude_deg<2.9541467008168 HAVING distance <= 50 ORDER BY distance ASC

50. 0.0005

    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 (947)

51. 0.0003

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (303627,282009,130446,217674,46769,352882,445249,310697,277978,229577,123783,64614)

52. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (303627,282009,130446,217674,46769,352882,445249,310697,277978,229577,123783,64614)

53. 0.0008

    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='camion; avec camion' OR ssrubr_slug like '%camion; avec camion%' OR MATCH (ssrubr_slug) AGAINST ('(+camion; +avec +camion)')) AND sk.ssrubr_id='947' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

54. 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 = 42 AND ss.ssrubr_id <> 947 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

55. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='947' AND actu_niveau=0 ORDER BY actu_ordre DESC

56. 0.0001

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

57. 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

58. 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 (42) ORDER BY ssrubr_order ASC

59. 0.0017

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

60. 0.133

    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'

61. 0.1092

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

61 requetes sql en 0.489