Service avec fourgon à 62136 La couture

1. 0.0001

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

2. 0

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

3. 0

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='62'

4. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='62136' AND ville_nom like '%la%couture%' 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%fourgon%' OR ssrubr_title like '%avec%fourgon%' OR ssrubr_slug like '%avec%fourgon%') 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='62136'

7. 0.0016

   SELECT ville_cp, ROUND((((acos(sin((50.5833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.71667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.403435678816 AND ville_latitude_deg<50.763164321184 AND ville_longitude_deg>2.4333988798432 AND ville_longitude_deg<2.9999411201568 HAVING distance <= 20 ORDER BY distance ASC

8. 0.0001

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

9. 0.0007

   SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='42'AND MATCH (wish_title,wish_desc) AGAINST ('+fourgon; avec fourgon*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '62136%'

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='fourgon; avec fourgon' OR ssrubr_slug='fourgon;-avec-fourgon' OR (ssrubr_title like '%fourgon; avec fourgon%')) 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. 0.0001

    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

15. 0.0001

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

16. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='62136'

17. 0.0012

    SELECT ville_cp, ROUND((((acos(sin((50.5833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.71667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.403435678816 AND ville_latitude_deg<50.763164321184 AND ville_longitude_deg>2.4333988798432 AND ville_longitude_deg<2.9999411201568 HAVING distance <= 20 ORDER BY distance ASC

18. 0.0045

    SELECT ville_cp, ROUND((((acos(sin((50.5833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.71667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.133639197041 AND ville_latitude_deg<51.032960802959 AND ville_longitude_deg>2.0084860928827 AND ville_longitude_deg<3.4248539071173 HAVING distance <= 50 ORDER BY distance ASC

19. 0.0358

    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 ('(+fourgon; +avec +fourgon*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (62136,62136,62136,62136,62149,62400,62136,62840,62840,62400,59940,59253,62840,62149,62138,62232,62660,62149,62350,59660,59480,62400,59940,62840,59480,59249,62138,62350,62232,62232,62920,62149,62113,62113,62149,62138,59249,59134,62113,59496,62232,62350,59134,62920,62131,62131,62232,62840,62138,62980,59940,62980,62350,59274,62290,62131,59134,62920,59496,62199,59134,62350,62196,62138,62122,62670,62410,62620,59184,59181,62410,59280,59221,62350,62350,59136,59134,59232,59193,62410,59272,59320,62160,62122,62410,62114,59270,59850,62530,62750,59320,59320,59270,59185,62940,62620,59280,59112,62157,62620,62700,59211,62190,62160,59270,59270,62880,62330,62540,62540,59930,59320,59251,59320,62880,62880,62620,62190,59147,59840,59320,62151,62160,59190,62300,62143,62800,62172,59189,59320,62190,62530,59270,59160,59189,59190,59112,59116,59190,62330,59320,62880,59147,59147,59190,62150,62440,62218,62221,62300,62150,62470,59840,62260)

20. 0.0269

    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((50.5833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.71667- 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 ('(+fourgon; +avec +fourgon*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (62136,62136,62136,62136,62149,62400,62136,62840,62840,62400,59940,59253,62840,62149,62138,62232,62660,62149,62350,59660,59480,62400,59940,62840,59480,59249,62138,62350,62232,62232,62920,62149,62113,62113,62149,62138,59249,59134,62113,59496,62232,62350,59134,62920,62131,62131,62232,62840,62138,62980,59940,62980,62350,59274,62290,62131,59134,62920,59496,62199,59134,62350,62196,62138,62122,62670,62410,62620,59184,59181,62410,59280,59221,62350,62350,59136,59134,59232,59193,62410,59272,59320,62160,62122,62410,62114,59270,59850,62530,62750,59320,59320,59270,59185,62940,62620,59280,59112,62157,62620,62700,59211,62190,62160,59270,59270,62880,62330,62540,62540,59930,59320,59251,59320,62880,62880,62620,62190,59147,59840,59320,62151,62160,59190,62300,62143,62800,62172,59189,59320,62190,62530,59270,59160,59189,59190,59112,59116,59190,62330,59320,62880,59147,59147,59190,62150,62440,62218,62221,62300,62150,62470,59840,62260) 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='62136'

22. 0.0012

    SELECT ville_cp, ROUND((((acos(sin((50.5833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.71667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.403435678816 AND ville_latitude_deg<50.763164321184 AND ville_longitude_deg>2.4333988798432 AND ville_longitude_deg<2.9999411201568 HAVING distance <= 20 ORDER BY distance ASC

23. 0.0045

    SELECT ville_cp, ROUND((((acos(sin((50.5833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.5833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.71667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.133639197041 AND ville_latitude_deg<51.032960802959 AND ville_longitude_deg>2.0084860928827 AND ville_longitude_deg<3.4248539071173 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 = 165469 AND W.type_id = 1) OR (W.util_id != 165469 AND W.type_id = 2)) AND (`post_util_id` = 165469 OR `dest_util_id` = 165469) 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=165469 AND note_visu IN (1,3,4)

26. 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 = 279854 AND W.type_id = 1) OR (W.util_id != 279854 AND W.type_id = 2)) AND (`post_util_id` = 279854 OR `dest_util_id` = 279854) 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=279854 AND note_visu IN (1,3,4)

28. 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='948' LIMIT 0,1

29. 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 = 279854 AND W.type_id = 1) OR (W.util_id != 279854 AND W.type_id = 2)) AND (`post_util_id` = 279854 OR `dest_util_id` = 279854) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

30. 0.0002

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 279854

31. 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='948' LIMIT 0,1

32. 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 = 165469 AND W.type_id = 1) OR (W.util_id != 165469 AND W.type_id = 2)) AND (`post_util_id` = 165469 OR `dest_util_id` = 165469) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

33. 0.0002

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 165469

34. 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

35. 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='fourgon; avec fourgon' OR ssrubr_slug like '%fourgon; avec fourgon%' OR MATCH (ssrubr_slug) AGAINST ('(+fourgon; +avec +fourgon)')) AND sk.ssrubr_id='948' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

36. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='948' AND actu_niveau=0 ORDER BY actu_ordre DESC

37. 0.0009

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

38. 0

    SELECT count(*) as nbwish FROM wish

39. 0.0482

    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

39 requetes sql en 0.1289