Service avec camion à 59124 Escaudain

1. 0.0001

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

2. 0.0001

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

3. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='59'

4. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='59124' AND ville_nom like '%escaudain%' ORDER BY ville_population_2012 DESC LIMIT 0,1

5. 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

6. 0.0001

   SELECT ville_cp, ville_latitude_deg,ville_longitude_deg FROM villes v WHERE ville_cp='59124'

7. 0.0015

   SELECT ville_cp, ROUND((((acos(sin((50.3333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.35- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.153435678816 AND ville_latitude_deg<50.513164321184 AND ville_longitude_deg>3.06822210679 AND ville_longitude_deg<3.63177789321 HAVING distance <= 20 ORDER BY distance ASC

8. 0.0001

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

9. 0.0002

   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 '59124%'

10. 0.0001

    SELECT * FROM texte WHERE cate_id=42

11. 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

12. 0.0001

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

13. 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

14. 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

15. 0.0001

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

16. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59124'

17. 0.0016

    SELECT ville_cp, ROUND((((acos(sin((50.3333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.35- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.153435678816 AND ville_latitude_deg<50.513164321184 AND ville_longitude_deg>3.06822210679 AND ville_longitude_deg<3.63177789321 HAVING distance <= 20 ORDER BY distance ASC

18. 0.0044

    SELECT ville_cp, ROUND((((acos(sin((50.3333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.35- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.883639197041 AND ville_latitude_deg<50.782960802959 AND ville_longitude_deg>2.6455491924404 AND ville_longitude_deg<4.0544508075596 HAVING distance <= 50 ORDER BY distance ASC

19. 0.0373

    SELECT count(wish_id) as nbwish FROM wish 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 (59124,59124,59156,59220,59215,59293,59172,59171,59171,59255,59282,59171,59220,59172,59179,59135,59220,59490,59282,59111,59121,59195,59135,59580,59121,59580,59195,59111,59111,59870,59224,59490,59870,59252,59165,59111,59494,59252,59870,59252,59296,59178,59870,59176,59174,59125,59224,59233,59494,59234,59295,59295,59198,59176,59590,59146,59870,59178,59178,59410,59870,59141,59178,59300,59192,59227,59234,59247,59141,59182,59234,59247,59230,59300,59213,59230,59230,59269,59300,59169,59287,59182,59870,59227,59227,59141,59188,59188,59554,59213,59247,59167,59860,59169,59400,59287,59770,59265,59151,59880,59269,59310,59277,59265,59129,59161,59226,59554,59990,59148,59161,59213,59213,59265,59194,59268,59294,59269,59161,59158,59188,59990,59187,59226,59690,59310,59265,59310,59450,59990,59169,59310,59310,59161,59151,59292,59310,59119,59230,62860,59990,59169,59990,59554,59278,59194,59213,59213,59530,59199,59730,59265,59217,59264,59151,59230,59554,59400,59199,62860,59144,59214,59730,59970,62860,59158,59243,59554,59730,59530,59151,59310,59730,59158,59310,59970,62860,59530)

20. 0.029

    SELECT wish.*, ui.util_photo, ui.util_prenom, ui.util_nom, ui.stripe_account_id, ville_cp,ville_nom,ville_latitude_deg,ville_longitude_deg, ROUND((((acos(sin((50.3333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.35- 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 (59124,59124,59156,59220,59215,59293,59172,59171,59171,59255,59282,59171,59220,59172,59179,59135,59220,59490,59282,59111,59121,59195,59135,59580,59121,59580,59195,59111,59111,59870,59224,59490,59870,59252,59165,59111,59494,59252,59870,59252,59296,59178,59870,59176,59174,59125,59224,59233,59494,59234,59295,59295,59198,59176,59590,59146,59870,59178,59178,59410,59870,59141,59178,59300,59192,59227,59234,59247,59141,59182,59234,59247,59230,59300,59213,59230,59230,59269,59300,59169,59287,59182,59870,59227,59227,59141,59188,59188,59554,59213,59247,59167,59860,59169,59400,59287,59770,59265,59151,59880,59269,59310,59277,59265,59129,59161,59226,59554,59990,59148,59161,59213,59213,59265,59194,59268,59294,59269,59161,59158,59188,59990,59187,59226,59690,59310,59265,59310,59450,59990,59169,59310,59310,59161,59151,59292,59310,59119,59230,62860,59990,59169,59990,59554,59278,59194,59213,59213,59530,59199,59730,59265,59217,59264,59151,59230,59554,59400,59199,62860,59144,59214,59730,59970,62860,59158,59243,59554,59730,59530,59151,59310,59730,59158,59310,59970,62860,59530) AND type_id=1 GROUP BY wish_id

21. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='59124'

22. 0.0013

    SELECT ville_cp, ROUND((((acos(sin((50.3333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.35- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.153435678816 AND ville_latitude_deg<50.513164321184 AND ville_longitude_deg>3.06822210679 AND ville_longitude_deg<3.63177789321 HAVING distance <= 20 ORDER BY distance ASC

23. 0.0044

    SELECT ville_cp, ROUND((((acos(sin((50.3333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.3333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((3.35- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.883639197041 AND ville_latitude_deg<50.782960802959 AND ville_longitude_deg>2.6455491924404 AND ville_longitude_deg<4.0544508075596 HAVING distance <= 50 ORDER BY distance ASC

24. 0.0002

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 33882 AND W.type_id = 1) OR (W.util_id != 33882 AND W.type_id = 2)) AND (`post_util_id` = 33882 OR `dest_util_id` = 33882) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

25. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=33882 AND note_visu IN (1,3,4)

26. 0.0001

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 159065 AND W.type_id = 1) OR (W.util_id != 159065 AND W.type_id = 2)) AND (`post_util_id` = 159065 OR `dest_util_id` = 159065) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

27. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=159065 AND note_visu IN (1,3,4)

28. 0.0001

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 247085 AND W.type_id = 1) OR (W.util_id != 247085 AND W.type_id = 2)) AND (`post_util_id` = 247085 OR `dest_util_id` = 247085) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

29. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=247085 AND note_visu IN (1,3,4)

30. 0.0001

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 530493 AND W.type_id = 1) OR (W.util_id != 530493 AND W.type_id = 2)) AND (`post_util_id` = 530493 OR `dest_util_id` = 530493) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

31. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=530493 AND note_visu IN (1,3,4)

32. 0.0001

    SELECT ssrubr_slug, ssrubr_mail, ssrubr_mail_bis, ssrubr_keywords, ssrubr_bt2, cate_title_slug, fami_url, ssrubr_photo 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='947' LIMIT 0,1

33. 0.0002

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 33882

34. 0.0001

    SELECT ssrubr_slug, ssrubr_mail, ssrubr_mail_bis, ssrubr_keywords, ssrubr_bt2, cate_title_slug, fami_url, ssrubr_photo 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='947' LIMIT 0,1

35. 0.0001

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 247085 AND W.type_id = 1) OR (W.util_id != 247085 AND W.type_id = 2)) AND (`post_util_id` = 247085 OR `dest_util_id` = 247085) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

36. 0.0001

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 247085

37. 0.0001

    SELECT ssrubr_slug, ssrubr_mail, ssrubr_mail_bis, ssrubr_keywords, ssrubr_bt2, cate_title_slug, fami_url, ssrubr_photo 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='947' LIMIT 0,1

38. 0.0001

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 530493 AND W.type_id = 1) OR (W.util_id != 530493 AND W.type_id = 2)) AND (`post_util_id` = 530493 OR `dest_util_id` = 530493) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

39. 0.0001

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 530493

40. 0.0001

    SELECT ssrubr_slug, ssrubr_mail, ssrubr_mail_bis, ssrubr_keywords, ssrubr_bt2, cate_title_slug, fami_url, ssrubr_photo 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='949' LIMIT 0,1

41. 0.0001

    SELECT M.match_step FROM `match` AS M LEFT JOIN wish AS W ON W.wish_id = M.wish_id WHERE ((W.util_id = 159065 AND W.type_id = 1) OR (W.util_id != 159065 AND W.type_id = 2)) AND (`post_util_id` = 159065 OR `dest_util_id` = 159065) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

42. 0.0001

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 159065

43. 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

44. 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

45. 0.0001

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

46. 0.0009

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

47. 0

    SELECT count(*) as nbwish FROM wish

48. 0.0513

    SELECT note.*, post.util_prenom as postp, post.util_nom as postn, dest.util_prenom as destp, dest.util_nom as destn, w.wish_id, w.wish_desc, w.fami_id FROM note, util_info dest, util_info post, wish w WHERE note.wish_id=w.wish_id AND note.post_util_id=post.util_id AND note.dest_util_id=dest.util_id AND note_visu IN (1,2,3,4) AND post_util_id<>'7' ORDER BY note_date DESC, note_hour DESC

48 requetes sql en 0.1362