Location cage transport à 95160 Montmorency

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='objet'

3. 0.0001

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=92

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='95'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='95160' AND ville_nom like '%montmorency%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0006

   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 '%cage%transport%animaux%' OR ssrubr_title like '%cage%transport%animaux%' OR ssrubr_slug like '%cage%transport%animaux%') AND cate_id='92' 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='95160'

12. 0.0031

    SELECT ville_cp, ROUND((((acos(sin((49*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.33333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.820135678816 AND ville_latitude_deg<49.179864321184 AND ville_longitude_deg>2.059170802952 AND ville_longitude_deg<2.607489197048 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='cage transport; cage transport animaux'

14. 0.0007

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='92'AND MATCH (wish_title,wish_desc) AGAINST ('+cage transport; cage transport animaux*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '95160%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=92

16. 0.0003

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='cage transport; cage transport animaux' OR ssrubr_slug='cage-transport;-cage-transport-animaux' OR (ssrubr_title like '%cage transport; cage transport animaux%')) AND cate_id='92' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='cage-transport-animaux' AND cate_id='92'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='95160'

19. 0.0031

    SELECT ville_cp, ROUND((((acos(sin((49*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.33333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.820135678816 AND ville_latitude_deg<49.179864321184 AND ville_longitude_deg>2.059170802952 AND ville_longitude_deg<2.607489197048 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0208

    SELECT ville_cp, ROUND((((acos(sin((49*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.33333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.550339197041 AND ville_latitude_deg<49.449660802959 AND ville_longitude_deg>1.6479260970883 AND ville_longitude_deg<3.0187339029117 HAVING distance <= 50 ORDER BY distance ASC

21. 0.1665

    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*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.33333- 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='92' AND MATCH (wish_desc) AGAINST ('(+cage +transport; +cage +transport +animaux*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (95160,95160,95170,95350,95410,95350,95580,95580,95230,95600,95200,95400,95330,95360,95880,95680,95440,95460,93380,93430,95390,95218,95210,95120,95570,95570,93800,95570,95400,95320,93240,95720,95140,95110,95130,95560,95720,92390,93450,95560,95720,95130,93200,93210,95560,92230,95500,95100,93440,95840,95500,95720,95150,95550,95560,95570,93350,95500,95240,95250,95190,95270,95590,93120,93300,95740,95190,95840,95850,92270,92600,95500,92700,95270,95370,93400,95270,95190,95870,93150,93700,92110,95530,92300,93500,95220,95540,78500,95480,95850,92250,95380,92400,95590,95380,95700,95430,95630,78800,92200,95270,93310,95270,95270,93000,95430,95270,78420,93600,78600,95270,95760,93140,92000,95270,95270,95270,95290,93230,93260,95270,95590,93420,95260,95670,95620,75001,75006,75005,75004,75007,75003,95470,75000,75002,75008,75009,75116,75020,75019,75018,75017,75016,75015,75014,75013,75012,75011,75010,95260,95380,95660,93170,92500,93130,95380,78360,93270,92800,92150,93100,78600,95380,95310,95610,78700,95340,93340,93320,93250,95300,60260,94300,93390,95300,93190,93290,95690,93110,95470,95300,60820,95820,93410,77990,78400,95340,92170,60580,95470,78110,95470,78780,60230,92100,94160,77990,95000,93220,78570,92210,95000,78260,95690,60560,94120,93360) 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 = 271885 AND W.type_id = 1) OR (W.util_id <> 271885 AND W.type_id = 2)) AND (M.post_util_id = 271885 OR M.dest_util_id = 271885) 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=271885 AND note_visu IN (1,3,4)

24. 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 = 399368 AND W.type_id = 1) OR (W.util_id <> 399368 AND W.type_id = 2)) AND (M.post_util_id = 399368 OR M.dest_util_id = 399368) 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=399368 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 = 471981 AND W.type_id = 1) OR (W.util_id <> 471981 AND W.type_id = 2)) AND (M.post_util_id = 471981 OR M.dest_util_id = 471981) 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=471981 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 = 497562 AND W.type_id = 1) OR (W.util_id <> 497562 AND W.type_id = 2)) AND (M.post_util_id = 497562 OR M.dest_util_id = 497562) 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=497562 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 = 421715 AND W.type_id = 1) OR (W.util_id <> 421715 AND W.type_id = 2)) AND (M.post_util_id = 421715 OR M.dest_util_id = 421715) 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=421715 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='95160'

33. 0.0021

    SELECT ville_cp, ROUND((((acos(sin((49*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.33333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.820135678816 AND ville_latitude_deg<49.179864321184 AND ville_longitude_deg>2.059170802952 AND ville_longitude_deg<2.607489197048 HAVING distance <= 20 ORDER BY distance ASC

34. 0.0163

    SELECT ville_cp, ROUND((((acos(sin((49*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.33333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.550339197041 AND ville_latitude_deg<49.449660802959 AND ville_longitude_deg>1.6479260970883 AND ville_longitude_deg<3.0187339029117 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 (721)

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 (421715,271885,399368,471981,497562)

37. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (421715,271885,399368,471981,497562)

38. 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=92 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='cage transport; cage transport animaux' OR ssrubr_slug like '%cage transport; cage transport animaux%' OR MATCH (ssrubr_slug) AGAINST ('(+cage +transport; +cage +transport +animaux)')) AND sk.ssrubr_id='721' 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 = 92 AND ss.ssrubr_id <> 721 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

41. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='721' 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 (92) ORDER BY ssrubr_order ASC

45. 0.001

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

46. 0.0268

    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. 0.0187

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

47 requetes sql en 0.2647