Location autres outils à 91510 Lardy

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='materiel-bricolage'

3. 0.0001

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

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('91' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='91510' AND ville_nom like '%lardy%' 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. 0.0021

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%autres%outils%' OR ssrubr_title like '%autres%outils%' OR ssrubr_slug like '%autres%outils%') AND cate_id='87' ORDER BY ssrubr_id LIMIT 0,1

8. 0.0002

   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='91510'

12. 0.002

    SELECT ville_cp, ROUND((((acos(sin((48.5167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.5167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.26667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.336835678816 AND ville_latitude_deg<48.696564321184 AND ville_longitude_deg>1.9951359585847 AND ville_longitude_deg<2.5382040414153 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='autres outils; dame manuelle; dame; compactage'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='87' AND ssrubr_id='1157' AND wish_visu IN (1,6,10) AND wish_cp like '91510%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=87

16. 0.0004

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='autres outils; dame manuelle; dame; compactage' OR ssrubr_slug='autres-outils;-dame-manuelle;-dame;-compactage' OR (ssrubr_title like '%autres outils; dame manuelle; dame; compactage%')) AND cate_id='87' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='autres-outils' AND cate_id='87'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='91510'

19. 0.0018

    SELECT ville_cp, ROUND((((acos(sin((48.5167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.5167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.26667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.336835678816 AND ville_latitude_deg<48.696564321184 AND ville_longitude_deg>1.9951359585847 AND ville_longitude_deg<2.5382040414153 HAVING distance <= 20 ORDER BY distance ASC

20. 0.005

    SELECT ville_cp, ROUND((((acos(sin((48.5167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.5167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.26667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.067039197041 AND ville_latitude_deg<48.966360802959 AND ville_longitude_deg>1.587829042763 AND ville_longitude_deg<2.945510957237 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0077

    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((48.5167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.5167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.26667- 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 ssrubr_id='1157' AND wish_visu IN (1,6,10) AND wish_cp IN (91510,91510,91510,91850,91730,91730,91630,91580,91760,91790,91770,91580,91630,91630,91580,91590,91630,91730,91910,91590,91630,91590,91590,91290,91290,91590,91580,91710,91340,91520,91650,91590,91580,91610,91590,91150,91810,91650,91180,91650,91880,91680,91540,91580,91310,91540,91820,91530,91590,91220,91220,91820,91150,91750,91680,91150,91310,91310,91150,91310,91240,91460,91530,91540,91540,91890,91750,91530,91720,91700,91640,91070,91090,91640,91870,91620,91080,91700,91620,91700,91150,91720,91100,91720,91150,91640,91530,91830,91470,91490,91470,91160,91490,91150,91840,91360,91350,91640,91410,91750,91360,91150,91490,91780,91780,91410,91150,91390,91600,91720,91250,91830,91410,91940,91100,91000,91130,91410,91410,91160,91150,91140,91150,91000,91090,91170,91690,91150,77930,91720,91250,91250,91450,91490,91940,91150,91400) AND type_id=1 GROUP BY wish_id

22. 0.0001

    SELECT util_id, util_photo, util_prenom, util_nom, stripe_account_id, util_verify FROM util_info WHERE util_id IN (121535,213319,244165,255422,91846,117719,385186,420972)

23. 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 = 121535 AND W.type_id = 1) OR (W.util_id <> 121535 AND W.type_id = 2)) AND (M.post_util_id = 121535 OR M.dest_util_id = 121535) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

24. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=121535 AND note_visu IN (1,3,4)

25. 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 = 213319 AND W.type_id = 1) OR (W.util_id <> 213319 AND W.type_id = 2)) AND (M.post_util_id = 213319 OR M.dest_util_id = 213319) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

26. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=213319 AND note_visu IN (1,3,4)

27. 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 = 244165 AND W.type_id = 1) OR (W.util_id <> 244165 AND W.type_id = 2)) AND (M.post_util_id = 244165 OR M.dest_util_id = 244165) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

28. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=244165 AND note_visu IN (1,3,4)

29. 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 = 255422 AND W.type_id = 1) OR (W.util_id <> 255422 AND W.type_id = 2)) AND (M.post_util_id = 255422 OR M.dest_util_id = 255422) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

30. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=255422 AND note_visu IN (1,3,4)

31. 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 = 91846 AND W.type_id = 1) OR (W.util_id <> 91846 AND W.type_id = 2)) AND (M.post_util_id = 91846 OR M.dest_util_id = 91846) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

32. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=91846 AND note_visu IN (1,3,4)

33. 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 = 117719 AND W.type_id = 1) OR (W.util_id <> 117719 AND W.type_id = 2)) AND (M.post_util_id = 117719 OR M.dest_util_id = 117719) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

34. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=117719 AND note_visu IN (1,3,4)

35. 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 = 385186 AND W.type_id = 1) OR (W.util_id <> 385186 AND W.type_id = 2)) AND (M.post_util_id = 385186 OR M.dest_util_id = 385186) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

36. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=385186 AND note_visu IN (1,3,4)

37. 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 = 420972 AND W.type_id = 1) OR (W.util_id <> 420972 AND W.type_id = 2)) AND (M.post_util_id = 420972 OR M.dest_util_id = 420972) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

38. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=420972 AND note_visu IN (1,3,4)

39. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='91510'

40. 0.0014

    SELECT ville_cp, ROUND((((acos(sin((48.5167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.5167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.26667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.336835678816 AND ville_latitude_deg<48.696564321184 AND ville_longitude_deg>1.9951359585847 AND ville_longitude_deg<2.5382040414153 HAVING distance <= 20 ORDER BY distance ASC

41. 0.0052

    SELECT ville_cp, ROUND((((acos(sin((48.5167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.5167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.26667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.067039197041 AND ville_latitude_deg<48.966360802959 AND ville_longitude_deg>1.587829042763 AND ville_longitude_deg<2.945510957237 HAVING distance <= 50 ORDER BY distance ASC

42. 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 (1157)

43. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (385186,255422,117719,213319,121535,244165,420972,91846)

44. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (385186,255422,117719,213319,121535,244165,420972,91846)

45. 0.0003

    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='autres outils; dame manuelle; dame; compactage' OR ssrubr_slug like '%autres outils; dame manuelle; dame; compactage%' OR MATCH (ssrubr_slug) AGAINST ('(+autres +outils; +dame +manuelle; +dame; +compactage)')) AND sk.ssrubr_id='1157' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

46. 0.0004

    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 = 87 AND ss.ssrubr_id <> 1157 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

47. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='1157' AND actu_niveau=0 ORDER BY actu_ordre DESC

48. 0.0001

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

49. 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

50. 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

51. 0.0012

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

52. 0.0225

    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'

53. 0.0173

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

53 requetes sql en 0.0727