Location matelas de voyage à 62300 Lens

1. 0.0001

   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='equipement-voyage'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=93

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('62' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='62300' AND ville_nom like '%lens%' 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. 0.0001

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%matelas%de%voyage%' OR ssrubr_title like '%matelas%de%voyage%' OR ssrubr_slug like '%matelas%de%voyage%') AND cate_id='93' 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='62300'

12. 0.0026

    SELECT ville_cp, ROUND((((acos(sin((50.4333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.83333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.253435678816 AND ville_latitude_deg<50.613164321184 AND ville_longitude_deg>2.5509573540188 AND ville_longitude_deg<3.1157026459812 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='matelas; matelas de voyage'

14. 0.0004

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='93'AND MATCH (wish_title,wish_desc) AGAINST ('+matelas; matelas de voyage*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '62300%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=93

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='matelas; matelas de voyage' OR ssrubr_slug='matelas;-matelas-de-voyage' OR (ssrubr_title like '%matelas; matelas de voyage%')) AND cate_id='93' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='matelas-de-voyage' AND cate_id='93'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='62300'

19. 0.0032

    SELECT ville_cp, ROUND((((acos(sin((50.4333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.83333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.253435678816 AND ville_latitude_deg<50.613164321184 AND ville_longitude_deg>2.5509573540188 AND ville_longitude_deg<3.1157026459812 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0155

    SELECT ville_cp, ROUND((((acos(sin((50.4333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.83333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.983639197041 AND ville_latitude_deg<50.882960802959 AND ville_longitude_deg>2.1273922976908 AND ville_longitude_deg<3.5392677023092 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0171

    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((50.4333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.83333- 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='93' AND MATCH (wish_desc) AGAINST ('(+matelas; +matelas +de +voyage*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (62300,62300,62300,62221,62218,62430,62210,62750,62680,62880,62440,62800,62420,62880,62880,62410,62410,62410,62740,62143,62320,62880,62640,62580,62320,62160,62110,62710,62580,62580,62153,62320,62320,62580,62410,62160,62980,62580,62138,62580,62580,62138,62138,62160,62580,59221,62138,62153,62980,62670,62149,62580,62119,62114,62950,62220,62144,62149,62580,59185,62490,62149,59496,62580,62590,59496,59480,62580,62138,62149,62172,62113,62113,62223,62490,62290,62530,62490,62970,62530,59112,59274,59112,62144,62530,62223,59184,59251,62113,62144,59133,62660,62820,62141,59272,62223,59162,62149,62223,59480,59134,59553,62223,59134,59261,62118,62840,59147,62490,62223,62620,59950,62223,62118,59128,62690,62131,59133,62118,59136,62144,62131,62131,62690,59147,62161,62161,62620,59239,59553,62690,59553,62790,62150,62223,59147,62690,62118,59239,59134,62000,62840,62117,62400,62136,62118,62118,59283,62620,59283,59286,62150,62232,59551,62690,59552,62400,62144,62940,62620,62196,59500,62161,59249,62217,59249,62690,62136,62000,62217,59552,62232,62232,62232,62400,59263,62112,62161,62690,62118,62217,62217,62136,59551,59113,62490,62150,59134,62690,62150,59246,59169,62199) 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 = 49496 AND W.type_id = 1) OR (W.util_id <> 49496 AND W.type_id = 2)) AND (M.post_util_id = 49496 OR M.dest_util_id = 49496) 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=49496 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 = 333716 AND W.type_id = 1) OR (W.util_id <> 333716 AND W.type_id = 2)) AND (M.post_util_id = 333716 OR M.dest_util_id = 333716) 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=333716 AND note_visu IN (1,3,4)

26. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='62300'

27. 0.0024

    SELECT ville_cp, ROUND((((acos(sin((50.4333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.83333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>50.253435678816 AND ville_latitude_deg<50.613164321184 AND ville_longitude_deg>2.5509573540188 AND ville_longitude_deg<3.1157026459812 HAVING distance <= 20 ORDER BY distance ASC

28. 0.0143

    SELECT ville_cp, ROUND((((acos(sin((50.4333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((50.4333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.83333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.983639197041 AND ville_latitude_deg<50.882960802959 AND ville_longitude_deg>2.1273922976908 AND ville_longitude_deg<3.5392677023092 HAVING distance <= 50 ORDER BY distance ASC

29. 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 (916,912)

30. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (49496,333716)

31. 0

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (49496,333716)

32. 0.0001

    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=93 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

33. 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='matelas; matelas de voyage' OR ssrubr_slug like '%matelas; matelas de voyage%' OR MATCH (ssrubr_slug) AGAINST ('(+matelas; +matelas +de +voyage)')) AND sk.ssrubr_id='916' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

34. 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 = 93 AND ss.ssrubr_id <> 916 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

35. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='916' AND actu_niveau=0 ORDER BY actu_ordre DESC

36. 0.0001

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

37. 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

38. 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 (93) ORDER BY ssrubr_order ASC

39. 0.0011

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

40. 0.0263

    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'

41. 0.019

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

41 requetes sql en 0.1061