Location suv & 4x4 à 91420 Morangis

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='voiture'

3. 0.0001

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=81

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='91420' AND ville_nom like '%morangis%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0007

   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_slug='4x4' AND cate_id='81' LIMIT 0,1

8. 0.0001

   SHOW TABLES LIKE 'pays'

9. 0.0002

   SHOW COLUMNS FROM pays LIKE 'pays_tel_%'

10. 0.0002

    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='91420'

12. 0.0042

    SELECT ville_cp, ROUND((((acos(sin((48.7*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7*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>48.520135678816 AND ville_latitude_deg<48.879864321184 AND ville_longitude_deg>2.06080854235 AND ville_longitude_deg<2.60585145765 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0011

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='SUV & 4X4'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='81' AND ssrubr_id='1086' AND wish_visu IN (1,6,10) AND wish_cp like '91420%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=81

16. 0.0003

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='4x4' OR ssrubr_slug='4x4' OR (ssrubr_title like '%4x4%')) AND cate_id='81' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='4x4' AND cate_id='81'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='91420'

19. 0.0031

    SELECT ville_cp, ROUND((((acos(sin((48.7*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7*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>48.520135678816 AND ville_latitude_deg<48.879864321184 AND ville_longitude_deg>2.06080854235 AND ville_longitude_deg<2.60585145765 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0134

    SELECT ville_cp, ROUND((((acos(sin((48.7*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7*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>48.250339197041 AND ville_latitude_deg<49.149660802959 AND ville_longitude_deg>1.6520204808895 AND ville_longitude_deg<3.0146395191105 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0033

    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((48.7*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7*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='81' AND ssrubr_id='1086' AND wish_visu IN (1,6,10) AND wish_cp IN (91420,91420,91380,91160,91550,91320,91360,91600,91390,91360,91260,91160,91170,91300,91160,91200,91160,94260,94150,91700,92160,91270,91140,94480,91210,91120,91350,94290,94390,91370,94310,91620,91700,94550,91140,91240,91700,91130,91000,94320,91310,92340,91230,91560,92290,91310,91310,91620,94232,94231,94230,94240,94233,94234,94235,94236,94237,94239,94238,91430,94190,91220,91220,94600,92260,91070,92330,91570,91450,91460,91430,92350,94400,91080,91400,91310,94110,94460,91090,91000,92220,94800,94450,92320,92140,91800,91440,91450,91940,91330,94140,91180,91090,91400,91940,94250,92120,94270,92240,94380,94700,94000,94200,94205,91860,92190,92360,92130,91290,78350,91250,94220,91290,91250,94470,91640,94440,91190,91800,92370,91940,91190,91680,91630,91810,92170,91630,91480,91280,91520,91340,91100,91540,91630,78140,91100,94410,94520,94520,91190,92100,94160,91630,92310,94340,94440,91400,91640,78530,78350,94380,94370,78220,94100,94210,94340,91250,91540,91540,91480,78117,91710,94440,92410,91630,91540,94430,91680,78117,77380,77127,75010,75015,75000,75002,75013,75003,75004,75012,75005,75011,75001,75009,75008,75007,75014,75016,75017,75006,75018,75019,75020,75116,92210,94300,78470,94490,94880,94880,78000,91640,77170,94130,91650,91770,94500,91790,92420,92430,91470,92380,91830,91650,91250,91640,91470,93170,91610,78114,91470,93100,92150,92800,91750,91730,94120) 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 (97923,132693,79390,4367,262874,401377)

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 = 97923 AND W.type_id = 1) OR (W.util_id <> 97923 AND W.type_id = 2)) AND (M.post_util_id = 97923 OR M.dest_util_id = 97923) 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=97923 AND note_visu IN (1,3,4)

25. 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 = 132693 AND W.type_id = 1) OR (W.util_id <> 132693 AND W.type_id = 2)) AND (M.post_util_id = 132693 OR M.dest_util_id = 132693) 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=132693 AND note_visu IN (1,3,4)

27. 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 = 79390 AND W.type_id = 1) OR (W.util_id <> 79390 AND W.type_id = 2)) AND (M.post_util_id = 79390 OR M.dest_util_id = 79390) 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=79390 AND note_visu IN (1,3,4)

29. 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 = 4367 AND W.type_id = 1) OR (W.util_id <> 4367 AND W.type_id = 2)) AND (M.post_util_id = 4367 OR M.dest_util_id = 4367) 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=4367 AND note_visu IN (1,3,4)

31. 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 = 262874 AND W.type_id = 1) OR (W.util_id <> 262874 AND W.type_id = 2)) AND (M.post_util_id = 262874 OR M.dest_util_id = 262874) 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=262874 AND note_visu IN (1,3,4)

33. 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 = 401377 AND W.type_id = 1) OR (W.util_id <> 401377 AND W.type_id = 2)) AND (M.post_util_id = 401377 OR M.dest_util_id = 401377) 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=401377 AND note_visu IN (1,3,4)

35. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='91420'

36. 0.0039

    SELECT ville_cp, ROUND((((acos(sin((48.7*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7*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>48.520135678816 AND ville_latitude_deg<48.879864321184 AND ville_longitude_deg>2.06080854235 AND ville_longitude_deg<2.60585145765 HAVING distance <= 20 ORDER BY distance ASC

37. 0.0178

    SELECT ville_cp, ROUND((((acos(sin((48.7*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7*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>48.250339197041 AND ville_latitude_deg<49.149660802959 AND ville_longitude_deg>1.6520204808895 AND ville_longitude_deg<3.0146395191105 HAVING distance <= 50 ORDER BY distance ASC

38. 0.0002

    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 (1086)

39. 0.0003

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (132693,262874,79390,401377,4367,97923)

40. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (132693,262874,79390,401377,4367,97923)

41. 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='4x4' OR ssrubr_slug like '%SUV & 4X4%' OR MATCH (ssrubr_slug) AGAINST ('(+SUV +& +4X4)')) AND sk.ssrubr_id='1086' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

42. 0.0003

    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 = 81 AND ss.ssrubr_id <> 1086 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

43. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='1086' AND actu_niveau=0 ORDER BY actu_ordre DESC

44. 0.0001

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

45. 0.0002

    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

46. 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 (81) ORDER BY ssrubr_order ASC

47. 0.0017

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

48. 0.0479

    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'

49. 0.0277

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

49 requetes sql en 0.1307