Location remorque vélo à 34410 Sauvian

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-sportif'

3. 0.0001

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=95

4. 0

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='34'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='34410' AND ville_nom like '%sauvian%' 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. 0.0018

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%remorque%velo%' OR ssrubr_title like '%remorque%velo%' OR ssrubr_slug like '%remorque%velo%') AND cate_id='95' 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='34410'

12. 0.0012

    SELECT ville_cp, ROUND((((acos(sin((41.0941*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((41.0941*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((28.9757- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>40.914235678816 AND ville_latitude_deg<41.273964321184 AND ville_longitude_deg>28.737035989048 AND ville_longitude_deg<29.214364010952 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='remorque vélo'

14. 0.0003

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='95'AND MATCH (wish_title,wish_desc) AGAINST ('+remorque vélo*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '34410%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=95

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='remorque vélo' OR ssrubr_slug='remorque-vélo' OR (ssrubr_title like '%remorque vélo%')) AND cate_id='95' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='remorque-velo' AND cate_id='95'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='34410'

19. 0.001

    SELECT ville_cp, ROUND((((acos(sin((41.0941*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((41.0941*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((28.9757- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>40.914235678816 AND ville_latitude_deg<41.273964321184 AND ville_longitude_deg>28.737035989048 AND ville_longitude_deg<29.214364010952 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0013

    SELECT ville_cp, ROUND((((acos(sin((41.0941*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((41.0941*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((28.9757- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>40.644439197041 AND ville_latitude_deg<41.543760802959 AND ville_longitude_deg>28.379034827529 AND ville_longitude_deg<29.572365172471 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0465

    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((41.0941*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((41.0941*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((28.9757- 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='95' AND MATCH (wish_desc) AGAINST ('(+remorque +vélo*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (34410,34427,34425,34421,34410,34418,34415,34413,34403,34396,34065,34060,34387,34357,34353,34330,34394,34870,34381,34398,34349,34335,34384,34375,34371,34373,34377,34379,34365,34337,34445,34025,34020,34035,34045,34040,34040,34340,34367,34050,34342,34682,34345,34437,34460,34245,34240,34347,34382,34430,34435,34470,34055,34440,34087,34080,34083,34433,34467,34255,34250,34457,34684,34453,34464,34091,34810,34676,34680,34674,34110,34116,34112,34075,34805,34270,34010,34093,34015,34126,34473,34104,34120,34096,34230,34235,34122,34130,34134,34220,34225,34668,34450,34450,34800,34662,34098,34076,34070,34664,34173,34182,34829,34825,34820,34160,34165,34164,34660,34203,34204,34209,34200,34077,34710,34716,34714,34718,34107,34218,34830,34214,34210,34180,34688,34893,34192,34212,34480,34194,34196,34188,34197,34873,34720,34728,34726,34724,34722,34158,34490,34303,34307,34740,34755,34752,34758,34750,34295,34360,34730,34899,34890,34704,34700,34707,34760,34762,34764,34766,34768,34742,34782,34779,34776,34771,34774,34773,34775,34736,34732,34734,34744,34746,34738,34400,34406,34142,34145,34146,34147,34149,34140,34840,34290,34788) 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 = 100874 AND W.type_id = 1) OR (W.util_id <> 100874 AND W.type_id = 2)) AND (M.post_util_id = 100874 OR M.dest_util_id = 100874) 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=100874 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 = 164770 AND W.type_id = 1) OR (W.util_id <> 164770 AND W.type_id = 2)) AND (M.post_util_id = 164770 OR M.dest_util_id = 164770) 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=164770 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 = 446752 AND W.type_id = 1) OR (W.util_id <> 446752 AND W.type_id = 2)) AND (M.post_util_id = 446752 OR M.dest_util_id = 446752) 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=446752 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 = 465648 AND W.type_id = 1) OR (W.util_id <> 465648 AND W.type_id = 2)) AND (M.post_util_id = 465648 OR M.dest_util_id = 465648) 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=465648 AND note_visu IN (1,3,4)

30. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='34410'

31. 0.0008

    SELECT ville_cp, ROUND((((acos(sin((41.0941*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((41.0941*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((28.9757- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>40.914235678816 AND ville_latitude_deg<41.273964321184 AND ville_longitude_deg>28.737035989048 AND ville_longitude_deg<29.214364010952 HAVING distance <= 20 ORDER BY distance ASC

32. 0.0013

    SELECT ville_cp, ROUND((((acos(sin((41.0941*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((41.0941*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((28.9757- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>40.644439197041 AND ville_latitude_deg<41.543760802959 AND ville_longitude_deg>28.379034827529 AND ville_longitude_deg<29.572365172471 HAVING distance <= 50 ORDER BY distance ASC

33. 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 (736)

34. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (164770,465648,446752,100874)

35. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (164770,465648,446752,100874)

36. 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=95 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

37. 0.0001

    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='remorque vélo' OR ssrubr_slug like '%remorque vélo%' OR MATCH (ssrubr_slug) AGAINST ('(+remorque +vélo)')) AND sk.ssrubr_id='736' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

38. 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 = 95 AND ss.ssrubr_id <> 736 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

39. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='736' AND actu_niveau=0 ORDER BY actu_ordre DESC

40. 0

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

41. 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

42. 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 (95) ORDER BY ssrubr_order ASC

43. 0.0009

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

44. 0.0245

    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'

45. 0.0193

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

45 requetes sql en 0.1035