Location chaînes neige à 14600 Honfleur

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='5' AND cate_title_slug='outillage-mecanique-automobile'

3. 0.0001

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

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='14'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='14600' AND ville_nom like '%honfleur%' 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 '%chaine%a%neige%' OR ssrubr_title like '%chaine%a%neige%' OR ssrubr_slug like '%chaine%a%neige%') AND cate_id='227' 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. 0.0003

    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. 0.0001

    SELECT ville_cp, ville_latitude_deg,ville_longitude_deg FROM villes v WHERE ville_cp='14600'

12. 0.0025

    SELECT ville_cp, ROUND((((acos(sin((49.3887*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.3887*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((0.187778- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.208835678816 AND ville_latitude_deg<49.568564321184 AND ville_longitude_deg>-0.088544013758503 AND ville_longitude_deg<0.4641000137585 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='chaine neige; chaine a neige'

14. 0.0003

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='227'AND MATCH (wish_title,wish_desc) AGAINST ('+chaine neige; chaine a neige*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '14600%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=227

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='chaine neige; chaine a neige' OR ssrubr_slug='chaine-neige;-chaine-a-neige' OR (ssrubr_title like '%chaine neige; chaine a neige%')) AND cate_id='227' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='chaine-a-neige' AND cate_id='227'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='14600'

19. 0.0032

    SELECT ville_cp, ROUND((((acos(sin((49.3887*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.3887*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((0.187778- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.208835678816 AND ville_latitude_deg<49.568564321184 AND ville_longitude_deg>-0.088544013758503 AND ville_longitude_deg<0.4641000137585 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0268

    SELECT ville_cp, ROUND((((acos(sin((49.3887*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.3887*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((0.187778- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.939039197041 AND ville_latitude_deg<49.838360802959 AND ville_longitude_deg>-0.50303299131366 AND ville_longitude_deg<0.87858899131366 HAVING distance <= 50 ORDER BY distance ASC

21. 0.056

    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((49.3887*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.3887*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((0.187778- 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 ('(+chaine +neige; +chaine +a +neige*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (14600,14600,14600,14113,14600,14113,14130,50270,14600,14600,14600,14130,14600,50270,14800,14600,14360,14800,14130,14600,14130,14800,14800,14800,27210,14800,27210,14130,14130,14130,14130,14130,14130,14130,27210,14800,14910,14130,14130,14130,14390,76700,14950,14950,76700,14800,76610,76600,76620,76310,27210,27210,76700,14130,14910,27210,14950,14130,27210,27210,76310,14130,14950,76430,76700,27210,76430,14130,14130,14130,14640,27210,14130,76290,76290,27210,76700,27210,50390,14430,14130,14130,14430,27210,76430,14430,14640,76430,76430,76290,14640,14340,27680,76430,14130,76930,27210,50340,14130,76290,14130,76430,27680,27500,27210,14430,27260,14130,14430,14510,76133) 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 = 141142 AND W.type_id = 1) OR (W.util_id <> 141142 AND W.type_id = 2)) AND (M.post_util_id = 141142 OR M.dest_util_id = 141142) 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=141142 AND note_visu IN (1,3,4)

24. 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 = 226204 AND W.type_id = 1) OR (W.util_id <> 226204 AND W.type_id = 2)) AND (M.post_util_id = 226204 OR M.dest_util_id = 226204) 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=226204 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 = 298094 AND W.type_id = 1) OR (W.util_id <> 298094 AND W.type_id = 2)) AND (M.post_util_id = 298094 OR M.dest_util_id = 298094) 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=298094 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 = 307577 AND W.type_id = 1) OR (W.util_id <> 307577 AND W.type_id = 2)) AND (M.post_util_id = 307577 OR M.dest_util_id = 307577) 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=307577 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 = 312790 AND W.type_id = 1) OR (W.util_id <> 312790 AND W.type_id = 2)) AND (M.post_util_id = 312790 OR M.dest_util_id = 312790) 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=312790 AND note_visu IN (1,3,4)

32. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='14600'

33. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((49.3887*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.3887*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((0.187778- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.208835678816 AND ville_latitude_deg<49.568564321184 AND ville_longitude_deg>-0.088544013758503 AND ville_longitude_deg<0.4641000137585 HAVING distance <= 20 ORDER BY distance ASC

34. 0.0187

    SELECT ville_cp, ROUND((((acos(sin((49.3887*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.3887*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((0.187778- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.939039197041 AND ville_latitude_deg<49.838360802959 AND ville_longitude_deg>-0.50303299131366 AND ville_longitude_deg<0.87858899131366 HAVING distance <= 50 ORDER BY distance ASC

35. 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 (725)

36. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (141142,312790,226204,307577,298094)

37. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (141142,312790,226204,307577,298094)

38. 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

39. 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='chaine neige; chaine a neige' OR ssrubr_slug like '%chaine neige; chaine a neige%' OR MATCH (ssrubr_slug) AGAINST ('(+chaine +neige; +chaine +a +neige)')) AND sk.ssrubr_id='725' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

40. 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 = 5 AND ss.cate_id = 227 AND ss.ssrubr_id <> 725 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

41. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='725' AND actu_niveau=0 ORDER BY actu_ordre DESC

42. 0.0001

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

43. 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

44. 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 (227) ORDER BY ssrubr_order ASC

45. 0.0011

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

46. 0.0244

    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'

47. 0.018

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

47 requetes sql en 0.1586