Location valise diagnostic à 14200 Hérouville-saint-clair

1. 0.0002

   SELECT cate_id FROM category WHERE fami_id='5' AND cate_title_slug='outillage-mecanique-automobile'

2. 0.0001

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=227

3. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='14'

4. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='14200' AND ville_nom like '%herouville%saint%clair%' 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 '%valise%diag%auto%' OR ssrubr_title like '%valise%diag%auto%' OR ssrubr_slug like '%valise%diag%auto%') AND cate_id='227' 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='14200'

7. 0.0018

   SELECT ville_cp, ROUND((((acos(sin((49.2*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.2*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.316667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.020135678816 AND ville_latitude_deg<49.379864321184 AND ville_longitude_deg>-0.59193321521544 AND ville_longitude_deg<-0.041400784784558 HAVING distance <= 20 ORDER BY distance ASC

8. 0.0001

   SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='valise diagnostique; valise diag auto'

9. 0.001

   SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='227'AND MATCH (wish_title,wish_desc) AGAINST ('+valise diagnostique; valise diag auto*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '14200%'

10. 0.0001

    SELECT * FROM texte WHERE cate_id=227

11. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='valise diagnostique; valise diag auto' OR ssrubr_slug='valise-diagnostique;-valise-diag-auto' OR (ssrubr_title like '%valise diagnostique; valise diag auto%')) AND cate_id='227' 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. 0.0001

    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 (227) ORDER BY ssrubr_order ASC

15. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='valise-diag-auto' AND cate_id='227'

16. 0

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='14200'

17. 0.0014

    SELECT ville_cp, ROUND((((acos(sin((49.2*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.2*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.316667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.020135678816 AND ville_latitude_deg<49.379864321184 AND ville_longitude_deg>-0.59193321521544 AND ville_longitude_deg<-0.041400784784558 HAVING distance <= 20 ORDER BY distance ASC

18. 0.0043

    SELECT ville_cp, ROUND((((acos(sin((49.2*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.2*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.316667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.750339197041 AND ville_latitude_deg<49.649660802959 AND ville_longitude_deg>-1.0048384721952 AND ville_longitude_deg<0.37150447219523 HAVING distance <= 50 ORDER BY distance ASC

19. 0.0504

    SELECT count(wish_id) as nbwish FROM wish WHERE wish_id IS NOT NULL AND fami_id='5' AND cate_id='227' AND MATCH (wish_desc) AGAINST ('(+valise +diagnostique; +valise +diag +auto*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (14200,14200,14460,14730,14000,14120,14550,14112,14610,14840,14840,14850,14123,14970,14540,14610,14111,14860,14850,14280,14280,14920,14610,14860,14630,14123,14610,14540,14940,14940,14940,14540,14970,14112,14123,14760,14860,14280,14630,14630,14880,14540,14540,14880,14440,14121,14610,14440,14670,14650,14320,14930,14670,14740,14860,14610,14370,14930,14440,14150,14320,14980,14780,14540,14610,14790,14790,14320,14540,14530,14320,14740,14320,14610,14370,14810,14610,14810,14390,14670,14670,14440,14370,14670,14370,14390,14790,14610,14830,14540,14740,14320,14930,14480,14210,14370,14210,14540,14320,14740,14540,14740,14210,14670,14670,14210,14370,14680,14370,14210,14470,14210,14430,14740,14750,14480,14210,14480,14370,14990,14220,14480,14160,14370,14680,14680,14210,14740,14210,14210,14740,14210,14190,14160,14210,14190,14470,14220,14190,14220,14480,14480,14160,14430,14250,14370,14480,14470,14370,14430,14190,14480,14680,14210,14270,14480,14220,14210,14370,14250,14250,14480,14430,14210,14430,14250,14430,14190)

20. 0.0444

    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((49.2*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.2*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.316667- 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='227' AND MATCH (wish_desc) AGAINST ('(+valise +diagnostique; +valise +diag +auto*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (14200,14200,14460,14730,14000,14120,14550,14112,14610,14840,14840,14850,14123,14970,14540,14610,14111,14860,14850,14280,14280,14920,14610,14860,14630,14123,14610,14540,14940,14940,14940,14540,14970,14112,14123,14760,14860,14280,14630,14630,14880,14540,14540,14880,14440,14121,14610,14440,14670,14650,14320,14930,14670,14740,14860,14610,14370,14930,14440,14150,14320,14980,14780,14540,14610,14790,14790,14320,14540,14530,14320,14740,14320,14610,14370,14810,14610,14810,14390,14670,14670,14440,14370,14670,14370,14390,14790,14610,14830,14540,14740,14320,14930,14480,14210,14370,14210,14540,14320,14740,14540,14740,14210,14670,14670,14210,14370,14680,14370,14210,14470,14210,14430,14740,14750,14480,14210,14480,14370,14990,14220,14480,14160,14370,14680,14680,14210,14740,14210,14210,14740,14210,14190,14160,14210,14190,14470,14220,14190,14220,14480,14480,14160,14430,14250,14370,14480,14470,14370,14430,14190,14480,14680,14210,14270,14480,14220,14210,14370,14250,14250,14480,14430,14210,14430,14250,14430,14190) 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='14200'

22. 0.0015

    SELECT ville_cp, ROUND((((acos(sin((49.2*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.2*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.316667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.020135678816 AND ville_latitude_deg<49.379864321184 AND ville_longitude_deg>-0.59193321521544 AND ville_longitude_deg<-0.041400784784558 HAVING distance <= 20 ORDER BY distance ASC

23. 0.0045

    SELECT ville_cp, ROUND((((acos(sin((49.2*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.2*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.316667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.750339197041 AND ville_latitude_deg<49.649660802959 AND ville_longitude_deg>-1.0048384721952 AND ville_longitude_deg<0.37150447219523 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 = 204579 AND W.type_id = 1) OR (W.util_id != 204579 AND W.type_id = 2)) AND (`post_util_id` = 204579 OR `dest_util_id` = 204579) 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=204579 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 = 163363 AND W.type_id = 1) OR (W.util_id != 163363 AND W.type_id = 2)) AND (`post_util_id` = 163363 OR `dest_util_id` = 163363) 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=163363 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='874' 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 = 204579 AND W.type_id = 1) OR (W.util_id != 204579 AND W.type_id = 2)) AND (`post_util_id` = 204579 OR `dest_util_id` = 204579) 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 = 204579

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='874' 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 = 163363 AND W.type_id = 1) OR (W.util_id != 163363 AND W.type_id = 2)) AND (`post_util_id` = 163363 OR `dest_util_id` = 163363) 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 = 163363

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=227 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='valise diagnostique; valise diag auto' OR ssrubr_slug like '%valise diagnostique; valise diag auto%' OR MATCH (ssrubr_slug) AGAINST ('(+valise +diagnostique; +valise +diag +auto)')) AND sk.ssrubr_id='874' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

36. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='874' 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. 0.0502

    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 0.1639