Location compresseur à 62880 Vendin-le-vieil

1. 0.0002

   SELECT cate_id FROM category WHERE fami_id='5' AND cate_title_slug='materiel-bricolage'

2. 0.0001

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=87

3. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='62'

4. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='62880' AND ville_nom like '%vendin%le%vieil%' ORDER BY ville_population_2012 DESC LIMIT 0,1

5. 0.0002

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%compresseur%' OR ssrubr_title like '%compresseur%' OR ssrubr_slug like '%compresseur%') AND cate_id='87' 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='62880'

7. 0.0018

   SELECT ville_cp, ROUND((((acos(sin((50.4667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.86667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.286835678816 AND ville_latitude_deg<50.646564321184 AND ville_longitude_deg>2.5840979548839 AND ville_longitude_deg<3.1492420451161 HAVING distance <= 20 ORDER BY distance ASC

8. 0.0001

   SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='compresseur'

9. 0.0002

   SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='87'AND MATCH (wish_title,wish_desc) AGAINST ('+compresseur*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '62880%'

10. 0.0001

    SELECT * FROM texte WHERE cate_id=87

11. 0.0004

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='compresseur' OR ssrubr_slug='compresseur' OR (ssrubr_title like '%compresseur%')) AND cate_id='87' 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. 0.0001

    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='5' AND cate_cate_id IS NULL ORDER BY cate_order ASC

14. 0.0003

    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 (87) ORDER BY ssrubr_order ASC

15. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='compresseur' AND cate_id='87'

16. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='62880'

17. 0.0013

    SELECT ville_cp, ROUND((((acos(sin((50.4667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.86667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.286835678816 AND ville_latitude_deg<50.646564321184 AND ville_longitude_deg>2.5840979548839 AND ville_longitude_deg<3.1492420451161 HAVING distance <= 20 ORDER BY distance ASC

18. 0.0047

    SELECT ville_cp, ROUND((((acos(sin((50.4667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.86667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.017039197041 AND ville_latitude_deg<50.916360802959 AND ville_longitude_deg>2.1602337955549 AND ville_longitude_deg<3.5731062044451 HAVING distance <= 50 ORDER BY distance ASC

19. 0.1181

    SELECT count(wish_id) as nbwish FROM wish WHERE wish_id IS NOT NULL AND fami_id='5' AND cate_id='87' AND MATCH (wish_desc) AGAINST ('(+compresseur*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (62880,62880,62880,62880,62410,62410,62440,62880,62221,62218,62410,62410,62300,62710,62740,62430,62138,59221,62640,62138,62420,62750,62300,59185,62138,62110,62220,59496,62680,59496,62210,62138,62590,59480,59112,62800,59112,62119,59274,62320,59251,62138,59184,62320,62980,62160,59272,62320,62320,59133,62149,62950,62143,62149,62149,62820,62980,59147,62580,59134,59134,62580,62149,62160,59480,59147,59136,62580,62580,62670,59261,59162,59133,62970,62113,62113,62141,59147,62153,62840,62490,59134,62580,62580,62160,59239,62114,62580,62149,62580,59239,62580,62490,62153,62660,59551,59950,62840,62290,59263,62113,62790,62580,59249,62580,62580,59128,59113,59249,62144,62172,59134,59553,62136,62530,59283,62490,59551,59283,59211,59553,59553,59286,62530,62223,59134,59246,59139,62136,62530,62400,62131,62131,59320,62490,59710,59320,62131,59175,59320,59320,62136,62144,59320,59320,62223,62620,62620,62400,59175,62144,59500,59710,62400,62117,59139,59552,59710,62232,62118,59320,62223,62223,62118,59310,62118,59552,62223,62232,62232,59155,62690,62196,59320,62118,62223,62232,59194,62150,62112,59120,59320,62840,62223,62118,62690,62690,59119)

20. 0.0974

    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((50.4667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.86667- 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='5' AND cate_id='87' AND MATCH (wish_desc) AGAINST ('(+compresseur*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (62880,62880,62880,62880,62410,62410,62440,62880,62221,62218,62410,62410,62300,62710,62740,62430,62138,59221,62640,62138,62420,62750,62300,59185,62138,62110,62220,59496,62680,59496,62210,62138,62590,59480,59112,62800,59112,62119,59274,62320,59251,62138,59184,62320,62980,62160,59272,62320,62320,59133,62149,62950,62143,62149,62149,62820,62980,59147,62580,59134,59134,62580,62149,62160,59480,59147,59136,62580,62580,62670,59261,59162,59133,62970,62113,62113,62141,59147,62153,62840,62490,59134,62580,62580,62160,59239,62114,62580,62149,62580,59239,62580,62490,62153,62660,59551,59950,62840,62290,59263,62113,62790,62580,59249,62580,62580,59128,59113,59249,62144,62172,59134,59553,62136,62530,59283,62490,59551,59283,59211,59553,59553,59286,62530,62223,59134,59246,59139,62136,62530,62400,62131,62131,59320,62490,59710,59320,62131,59175,59320,59320,62136,62144,59320,59320,62223,62620,62620,62400,59175,62144,59500,59710,62400,62117,59139,59552,59710,62232,62118,59320,62223,62223,62118,59310,62118,59552,62223,62232,62232,59155,62690,62196,59320,62118,62223,62232,59194,62150,62112,59120,59320,62840,62223,62118,62690,62690,59119) 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='62880'

22. 0.0013

    SELECT ville_cp, ROUND((((acos(sin((50.4667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.86667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.286835678816 AND ville_latitude_deg<50.646564321184 AND ville_longitude_deg>2.5840979548839 AND ville_longitude_deg<3.1492420451161 HAVING distance <= 20 ORDER BY distance ASC

23. 0.0047

    SELECT ville_cp, ROUND((((acos(sin((50.4667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.86667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.017039197041 AND ville_latitude_deg<50.916360802959 AND ville_longitude_deg>2.1602337955549 AND ville_longitude_deg<3.5731062044451 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 = 47616 AND W.type_id = 1) OR (W.util_id != 47616 AND W.type_id = 2)) AND (`post_util_id` = 47616 OR `dest_util_id` = 47616) 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=47616 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 = 146240 AND W.type_id = 1) OR (W.util_id != 146240 AND W.type_id = 2)) AND (`post_util_id` = 146240 OR `dest_util_id` = 146240) 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=146240 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='71' 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 = 47616 AND W.type_id = 1) OR (W.util_id != 47616 AND W.type_id = 2)) AND (`post_util_id` = 47616 OR `dest_util_id` = 47616) 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 = 47616

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='71' 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 = 146240 AND W.type_id = 1) OR (W.util_id != 146240 AND W.type_id = 2)) AND (`post_util_id` = 146240 OR `dest_util_id` = 146240) AND buy_stripe_pi_id != '' AND buy_stripe_pi_id IS NOT NULL

33. 0.0001

    SELECT abo_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id = 146240

34. 0.0003

    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=87 AND ss.fami_id=5 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='compresseur' OR ssrubr_slug like '%compresseur%' OR MATCH (ssrubr_slug) AGAINST ('(+compresseur)')) AND sk.ssrubr_id='71' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

36. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='71' AND actu_niveau=0 ORDER BY actu_ordre DESC

37. 0.0008

    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. 0.0454

    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 0.2797