Service avec chariot à 91260 Juvisy-sur-orge

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='3' AND cate_title_slug='demenagement'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=42

4. 0

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='91'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='91260' AND ville_nom like '%juvisy%sur%orge%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0004

   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 '%avec%chariot%' OR ssrubr_title like '%avec%chariot%' OR ssrubr_slug like '%avec%chariot%') AND cate_id='42' 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='91260'

12. 0.0026

    SELECT ville_cp, ROUND((((acos(sin((48.6833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.38333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.503435678816 AND ville_latitude_deg<48.863164321184 AND ville_longitude_deg>2.1108989161422 AND ville_longitude_deg<2.6557610838578 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='diable; avec chariot'

14. 0.0005

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='42'AND MATCH (wish_title,wish_desc) AGAINST ('+diable; avec chariot*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '91260%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=42

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='diable; avec chariot' OR ssrubr_slug='diable;-avec-chariot' OR (ssrubr_title like '%diable; avec chariot%')) AND cate_id='42' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='avec-chariot' AND cate_id='42'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='91260'

19. 0.0019

    SELECT ville_cp, ROUND((((acos(sin((48.6833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.38333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.503435678816 AND ville_latitude_deg<48.863164321184 AND ville_longitude_deg>2.1108989161422 AND ville_longitude_deg<2.6557610838578 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0076

    SELECT ville_cp, ROUND((((acos(sin((48.6833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.38333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.233639197041 AND ville_latitude_deg<49.132960802959 AND ville_longitude_deg>1.7022464173184 AND ville_longitude_deg<3.0644135826816 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0347

    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((48.6833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.38333- 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='3' AND cate_id='42' AND MATCH (wish_desc) AGAINST ('(+diable; +avec +chariot*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (91260,91170,91210,91600,91390,91270,91350,91200,91550,91360,91420,91130,91000,94480,91360,91230,91700,94290,91450,91560,91160,91380,91320,91700,91700,94190,91000,91090,91070,91080,94310,94390,91160,94150,91450,91240,91160,91800,91160,91220,91220,94260,94450,91310,91300,94320,91620,91330,91090,94550,94600,94460,92160,91860,91140,91310,91250,91310,91250,91120,91140,91800,91480,94400,92340,91370,91280,91620,94440,94234,94240,94230,94239,94238,94231,94232,94236,94233,94235,94237,91100,94380,91100,91310,94470,91460,94520,94520,91250,92290,94000,91480,91810,91540,94800,94140,92260,92330,91430,94440,77127,94700,91540,94110,91540,91180,77380,91630,94440,92350,91290,91570,92220,91630,94380,94370,91430,91400,91290,94200,94205,91710,91540,94270,92320,94220,77170,94250,94340,94210,94100,91250,92140,91630,91830,92120,94410,91940,91940,91440,94340,92240,91630,94430,91680,94880,94880,94490,91340,91520,91400,94160,91750,91770,91630,92130,77170,92360,92190,77176,91640,91610,77550,94500,92170,77150,94130,91830,91190,91940,78350,94510,91640,92370,91190,77166,91760,94300,91750,77150,77240,91790,92100,94360,91680,77550,91850,78140,77176,91650,91400,75012,75014,75016,75116,75013,75017,75018,75019,75020,75015,75011,75001,75000,75002,75003,75004,75005,75006,75007,75008,75009,75010,91190,94120,91730) AND type_id=1 GROUP BY wish_id

22. 0.0003

    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 = 7761 AND W.type_id = 1) OR (W.util_id <> 7761 AND W.type_id = 2)) AND (M.post_util_id = 7761 OR M.dest_util_id = 7761) 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=7761 AND note_visu IN (1,3,4)

24. 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 = 85449 AND W.type_id = 1) OR (W.util_id <> 85449 AND W.type_id = 2)) AND (M.post_util_id = 85449 OR M.dest_util_id = 85449) 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=85449 AND note_visu IN (1,3,4)

26. 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 = 136494 AND W.type_id = 1) OR (W.util_id <> 136494 AND W.type_id = 2)) AND (M.post_util_id = 136494 OR M.dest_util_id = 136494) 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=136494 AND note_visu IN (1,3,4)

28. 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 = 372180 AND W.type_id = 1) OR (W.util_id <> 372180 AND W.type_id = 2)) AND (M.post_util_id = 372180 OR M.dest_util_id = 372180) 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=372180 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='91260'

31. 0.0028

    SELECT ville_cp, ROUND((((acos(sin((48.6833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.38333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.503435678816 AND ville_latitude_deg<48.863164321184 AND ville_longitude_deg>2.1108989161422 AND ville_longitude_deg<2.6557610838578 HAVING distance <= 20 ORDER BY distance ASC

32. 0.0075

    SELECT ville_cp, ROUND((((acos(sin((48.6833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.38333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.233639197041 AND ville_latitude_deg<49.132960802959 AND ville_longitude_deg>1.7022464173184 AND ville_longitude_deg<3.0644135826816 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 (947)

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 (136494,372180,85449,7761)

35. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (136494,372180,85449,7761)

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=42 AND ss.fami_id=3 ORDER BY ssrubr_order LIMIT 6,100

37. 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='diable; avec chariot' OR ssrubr_slug like '%diable; avec chariot%' OR MATCH (ssrubr_slug) AGAINST ('(+diable; +avec +chariot)')) AND sk.ssrubr_id='949' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

38. 0.0001

    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 = 3 AND ss.cate_id = 42 AND ss.ssrubr_id <> 949 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

39. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='949' 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. 0.0002

    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='3' 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 (42) 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. 0.0312

    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. 0.0245

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

45 requetes sql en 0.1192