Service avec camion à 78680 épône

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='demenagement'

3. 0

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

4. 0

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='78'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='78680' AND ville_nom like '%epone%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0005

   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 '%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. 0.0001

   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. 0.0001

    SELECT ville_cp, ville_latitude_deg,ville_longitude_deg FROM villes v WHERE ville_cp='78680'

12. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((48.95*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.95*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.81667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.770135678816 AND ville_latitude_deg<49.129864321184 AND ville_longitude_deg>1.5427856472466 AND ville_longitude_deg<2.0905543527534 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

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

14. 0.0003

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='42'AND MATCH (wish_title,wish_desc) AGAINST ('+camion; avec camion*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '78680%'

15. 0.0001

    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='78680'

19. 0.0024

    SELECT ville_cp, ROUND((((acos(sin((48.95*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.95*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.81667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.770135678816 AND ville_latitude_deg<49.129864321184 AND ville_longitude_deg>1.5427856472466 AND ville_longitude_deg<2.0905543527534 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0154

    SELECT ville_cp, ROUND((((acos(sin((48.95*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.95*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.81667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.500339197041 AND ville_latitude_deg<49.399660802959 AND ville_longitude_deg>1.1319532137498 AND ville_longitude_deg<2.5013867862502 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0324

    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((48.95*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.95*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.81667- 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 MATCH (wish_desc) AGAINST ('(+camion; +avec +camion*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (78680,78680,78410,78410,78970,78410,78126,78440,78410,78930,78580,78580,78580,78930,78440,78820,78440,78410,78930,78124,78520,78930,78920,78580,78770,78250,78711,78200,78930,78440,78200,78580,78790,78790,78250,78770,78124,78130,78930,78930,78630,78440,78130,78770,78770,78440,78770,78250,78250,78200,95450,78250,78520,78250,78790,78790,78440,78200,78440,78770,78790,78121,78440,78200,78200,78650,78440,78910,78200,78740,78790,78200,78200,78540,78520,78810,78910,78480,78200,78630,78440,78770,78650,95510,78740,78850,78670,78670,95450,78910,95450,95510,78510,78200,95180,78790,95510,78910,78640,78810,78710,78790,78980,95450,78490,78490,95450,78640,78520,95000,95450,95780,78910,78890,78640,78240,78111,78200,78955,95450,78640,78910,78570,78270,95800,78910,78270,78270,78450,78490,95420,78240,95420,95420,78840,78940,95450,95450,78300,78200,78910,78980,95280,95510,78370,95510,78940,95490,95650,78260,78860,95780,78490,78490,78790,78570,78490,78490,78490,78490,78550,78780,78790,95450,78340,78840,78270,95450,78760,78450,95000,78112,78980,95450,95450,78550,95650,95780,95650) 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 = 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 <> ''

23. 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)

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 = 68486 AND W.type_id = 1) OR (W.util_id <> 68486 AND W.type_id = 2)) AND (M.post_util_id = 68486 OR M.dest_util_id = 68486) 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=68486 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 = 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 <> ''

27. 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)

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 = 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 <> ''

29. 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)

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 = 349571 AND W.type_id = 1) OR (W.util_id <> 349571 AND W.type_id = 2)) AND (M.post_util_id = 349571 OR M.dest_util_id = 349571) 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=349571 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 = 517021 AND W.type_id = 1) OR (W.util_id <> 517021 AND W.type_id = 2)) AND (M.post_util_id = 517021 OR M.dest_util_id = 517021) 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=517021 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 = 544822 AND W.type_id = 1) OR (W.util_id <> 544822 AND W.type_id = 2)) AND (M.post_util_id = 544822 OR M.dest_util_id = 544822) 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=544822 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 = 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 <> ''

37. 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)

38. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='78680'

39. 0.002

    SELECT ville_cp, ROUND((((acos(sin((48.95*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.95*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.81667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.770135678816 AND ville_latitude_deg<49.129864321184 AND ville_longitude_deg>1.5427856472466 AND ville_longitude_deg<2.0905543527534 HAVING distance <= 20 ORDER BY distance ASC

40. 0.017

    SELECT ville_cp, ROUND((((acos(sin((48.95*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.95*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.81667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.500339197041 AND ville_latitude_deg<49.399660802959 AND ville_longitude_deg>1.1319532137498 AND ville_longitude_deg<2.5013867862502 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 (947,948)

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 (476038,517021,68486,544822,349571,229577,123783,64614)

43. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (476038,517021,68486,544822,349571,229577,123783,64614)

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=42 AND ss.fami_id=3 ORDER BY ssrubr_order LIMIT 6,100

45. 0.0001

    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

46. 0.0001

    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

47. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='947' 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. 0.0002

    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. 0.0001

    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

51. 0.0011

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

52. 0.0233

    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. 0.018

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

53 requetes sql en 0.1196