Service soutien scolaire à 91460 Marcoussis

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='cours-particuliers'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=37

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='91'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='91460' AND ville_nom like '%marcoussis%' 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 '%soutien%scolaire%' OR ssrubr_title like '%soutien%scolaire%' OR ssrubr_slug like '%soutien%scolaire%') AND cate_id='37' 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='91460'

12. 0.0026

    SELECT ville_cp, ROUND((((acos(sin((48.6333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.23333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.453435678816 AND ville_latitude_deg<48.813164321184 AND ville_longitude_deg>1.9611690001937 AND ville_longitude_deg<2.5054909998063 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='soutien scolaire; cours a domicile; cours à domici'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='37'AND MATCH (wish_title,wish_desc) AGAINST ('+soutien scolaire; cours a domicile; cours à domici*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '91460%'

15. 0.0002

    SELECT * FROM texte WHERE cate_id=37

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='soutien scolaire; cours a domicile; cours à domici' OR ssrubr_slug='soutien-scolaire;-cours-a-domicile;-cours-à-domici' OR (ssrubr_title like '%soutien scolaire; cours a domicile; cours à domici%')) AND cate_id='37' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='soutien-scolaire' AND cate_id='37'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='91460'

19. 0.0021

    SELECT ville_cp, ROUND((((acos(sin((48.6333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.23333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.453435678816 AND ville_latitude_deg<48.813164321184 AND ville_longitude_deg>1.9611690001937 AND ville_longitude_deg<2.5054909998063 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0075

    SELECT ville_cp, ROUND((((acos(sin((48.6333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.23333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.183639197041 AND ville_latitude_deg<49.082960802959 AND ville_longitude_deg>1.5529216332696 AND ville_longitude_deg<2.9137383667304 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0379

    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((48.6333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.23333- 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='37' AND MATCH (wish_desc) AGAINST ('(+soutien +scolaire; +cours +a +domicile; +cours +à +domici*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (91460,91460,91620,91310,91310,91310,91620,91310,91180,91680,91240,91160,91700,91140,91340,91290,91520,91160,91290,91940,91640,91220,91220,91640,91360,91680,91940,91700,91630,91140,91630,91160,91360,91650,91400,91640,91650,91630,91160,91380,91440,91940,91190,91600,91790,91390,91400,91640,91120,91630,91630,91700,91470,91650,91530,91420,91730,91350,91470,91070,91430,91430,91170,91730,91300,91910,91190,91400,91810,91260,91080,91190,91530,91580,91470,91730,91570,91510,91510,91370,78470,91320,91770,91470,91550,91710,91470,91130,91000,91850,92160,91090,91530,91540,94260,91470,91210,78117,78830,91760,91580,92290,91200,91540,78460,91270,91580,78117,94150,91580,78350,91530,91000,91090,91450,94480,91610,91410,91540,91540,78114,78530,78350,91580,78460,92350,91100,92340,92330,92260,94550,91590,91450,78830,94290,78470,91230,94310,94390,94233,94232,94234,94231,94235,94236,94237,94238,94230,94240,94239,91560,91750,91410,94320,91250,91580,78720,78960,92370,92140,91100,91590,78140,91590,92320,92220,78220,78720,78730,78730,78280,78470,94190,91410,92190,92360,91590,91250,91280,78720,78000,94110,78720,91250) 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 = 106032 AND W.type_id = 1) OR (W.util_id <> 106032 AND W.type_id = 2)) AND (M.post_util_id = 106032 OR M.dest_util_id = 106032) 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=106032 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 = 286315 AND W.type_id = 1) OR (W.util_id <> 286315 AND W.type_id = 2)) AND (M.post_util_id = 286315 OR M.dest_util_id = 286315) 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=286315 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 = 303287 AND W.type_id = 1) OR (W.util_id <> 303287 AND W.type_id = 2)) AND (M.post_util_id = 303287 OR M.dest_util_id = 303287) 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=303287 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 = 315814 AND W.type_id = 1) OR (W.util_id <> 315814 AND W.type_id = 2)) AND (M.post_util_id = 315814 OR M.dest_util_id = 315814) 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=315814 AND note_visu IN (1,3,4)

30. 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 = 478671 AND W.type_id = 1) OR (W.util_id <> 478671 AND W.type_id = 2)) AND (M.post_util_id = 478671 OR M.dest_util_id = 478671) 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=478671 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='91460'

33. 0.0026

    SELECT ville_cp, ROUND((((acos(sin((48.6333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.23333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.453435678816 AND ville_latitude_deg<48.813164321184 AND ville_longitude_deg>1.9611690001937 AND ville_longitude_deg<2.5054909998063 HAVING distance <= 20 ORDER BY distance ASC

34. 0.0089

    SELECT ville_cp, ROUND((((acos(sin((48.6333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.6333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.23333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.183639197041 AND ville_latitude_deg<49.082960802959 AND ville_longitude_deg>1.5529216332696 AND ville_longitude_deg<2.9137383667304 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 (1024)

36. 0.0003

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (478671,106032,303287,315814,286315)

37. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (478671,106032,303287,315814,286315)

38. 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=37 AND ss.fami_id=3 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='soutien scolaire; cours a domicile; cours à domici' OR ssrubr_slug like '%soutien scolaire; cours a domicile; cours à domici%' OR MATCH (ssrubr_slug) AGAINST ('(+soutien +scolaire; +cours +a +domicile; +cours +à +domici)')) AND sk.ssrubr_id='1024' 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 = 3 AND ss.cate_id = 37 AND ss.ssrubr_id <> 1024 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

41. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='1024' 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. 0.0002

    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

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 (37) ORDER BY ssrubr_order ASC

45. 0.0016

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

46. 0.0359

    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. 0.0374

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

47 requetes sql en 0.1427