Service terrassement à 78770 Andelu

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='bricolage'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=50

4. 0

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='78'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='78770' AND ville_nom like '%andelu%' 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. 0.0002

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%terrassement%' OR ssrubr_title like '%terrassement%' OR ssrubr_slug like '%terrassement%') AND cate_id='50' 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. 0.0002

    SELECT ville_cp, ville_latitude_deg,ville_longitude_deg FROM villes v WHERE ville_cp='78770'

12. 0.0021

    SELECT ville_cp, ROUND((((acos(sin((48.8833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8833*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>48.703435678816 AND ville_latitude_deg<49.063164321184 AND ville_longitude_deg>1.5431511089253 AND ville_longitude_deg<2.0901888910747 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='terrassement'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='50'AND MATCH (wish_title,wish_desc) AGAINST ('+terrassement*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '78770%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=50

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='terrassement' OR ssrubr_slug='terrassement' OR (ssrubr_title like '%terrassement%')) AND cate_id='50' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='terrassement' AND cate_id='50'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='78770'

19. 0.0019

    SELECT ville_cp, ROUND((((acos(sin((48.8833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8833*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>48.703435678816 AND ville_latitude_deg<49.063164321184 AND ville_longitude_deg>1.5431511089253 AND ville_longitude_deg<2.0901888910747 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0067

    SELECT ville_cp, ROUND((((acos(sin((48.8833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8833*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>48.433639197041 AND ville_latitude_deg<49.332960802959 AND ville_longitude_deg>1.1328668758251 AND ville_longitude_deg<2.5004731241749 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0601

    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((48.8833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8833*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='50' AND MATCH (wish_desc) AGAINST ('(+terrassement*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (78770,78770,78770,78770,78770,78770,78124,78770,78124,78580,78580,78650,78930,78580,78770,78650,78126,78790,78790,78930,78580,78910,78790,78680,78490,78490,78410,78410,78910,78850,78580,78930,78910,78640,78640,78121,78810,78640,78890,78490,78970,78410,78640,78790,78910,78940,78410,78440,78630,78930,78930,78910,78930,78920,78790,78930,78410,78940,78490,78490,78810,78790,78910,78490,78490,78200,78490,78490,78711,78200,78790,78370,78130,78520,78760,78450,78630,78440,78440,78820,78200,78200,78200,78200,78910,78790,78250,78200,78340,78250,78550,78550,78240,78910,78111,78990,78490,78130,78310,78440,78860,78540,78670,78670,78200,78690,78200,78980,78450,78240,78490,78250,78200,78440,78480,78200,78310,78520,78250,78440,78550,78250,78250,78950,78790,95450,78550,78390,78440,78510,78190,78910,78980,78200,78955,78790,78740,78320,78300,78590,78112,78620,78740,78113,78440,78330,78710,78590,78440,78520,78610,78440,95180,95450,78570,78550,78200,78750,78690,78550,78100,78980,78160,28410,28560,28260,78870,78320,78113,95000,78520) 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 = 46798 AND W.type_id = 1) OR (W.util_id <> 46798 AND W.type_id = 2)) AND (M.post_util_id = 46798 OR M.dest_util_id = 46798) 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=46798 AND note_visu IN (1,3,4)

24. 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 = 85832 AND W.type_id = 1) OR (W.util_id <> 85832 AND W.type_id = 2)) AND (M.post_util_id = 85832 OR M.dest_util_id = 85832) 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=85832 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 = 4551 AND W.type_id = 1) OR (W.util_id <> 4551 AND W.type_id = 2)) AND (M.post_util_id = 4551 OR M.dest_util_id = 4551) 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=4551 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 = 210970 AND W.type_id = 1) OR (W.util_id <> 210970 AND W.type_id = 2)) AND (M.post_util_id = 210970 OR M.dest_util_id = 210970) 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=210970 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. 0.0001

    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 = 73588 AND W.type_id = 1) OR (W.util_id <> 73588 AND W.type_id = 2)) AND (M.post_util_id = 73588 OR M.dest_util_id = 73588) 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=73588 AND note_visu IN (1,3,4)

34. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='78770'

35. 0.0018

    SELECT ville_cp, ROUND((((acos(sin((48.8833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8833*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>48.703435678816 AND ville_latitude_deg<49.063164321184 AND ville_longitude_deg>1.5431511089253 AND ville_longitude_deg<2.0901888910747 HAVING distance <= 20 ORDER BY distance ASC

36. 0.0063

    SELECT ville_cp, ROUND((((acos(sin((48.8833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8833*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>48.433639197041 AND ville_latitude_deg<49.332960802959 AND ville_longitude_deg>1.1328668758251 AND ville_longitude_deg<2.5004731241749 HAVING distance <= 50 ORDER BY distance ASC

37. 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 (584,595)

38. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (85832,210970,349571,46798,73588,4551)

39. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (85832,210970,349571,46798,73588,4551)

40. 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=50 AND ss.fami_id=3 ORDER BY ssrubr_order LIMIT 6,100

41. 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='terrassement' OR ssrubr_slug like '%terrassement%' OR MATCH (ssrubr_slug) AGAINST ('(+terrassement)')) AND sk.ssrubr_id='584' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

42. 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 = 50 AND ss.ssrubr_id <> 584 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

43. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='584' AND actu_niveau=0 ORDER BY actu_ordre DESC

44. 0.0001

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

45. 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

46. 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 (50) ORDER BY ssrubr_order ASC

47. 0.0009

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

48. 0.0254

    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'

49. 0.0173

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

49 requetes sql en 0.128