Service etudiant à 14000 Caen

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='3' AND cate_title_slug='babysitting'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=39

4. 0

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='14'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='14000' AND ville_nom like '%caen%' 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 '%etudiant%' OR ssrubr_title like '%etudiant%' OR ssrubr_slug like '%etudiant%') AND cate_id='39' 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. 0.0002

    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='14000'

12. 0.0027

    SELECT ville_cp, ROUND((((acos(sin((49.1833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.1833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.35- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.003435678816 AND ville_latitude_deg<49.363164321184 AND ville_longitude_deg>-0.62517330879638 AND ville_longitude_deg<-0.074826691203624 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='étudiant'

14. 0.0008

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='39'AND MATCH (wish_title,wish_desc) AGAINST ('+étudiant*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '14000%'

15. 0.0002

    SELECT * FROM texte WHERE cate_id=39

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='étudiant' OR ssrubr_slug='étudiant' OR (ssrubr_title like '%étudiant%')) AND cate_id='39' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='etudiant' AND cate_id='39'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='14000'

19. 0.0024

    SELECT ville_cp, ROUND((((acos(sin((49.1833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.1833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.35- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.003435678816 AND ville_latitude_deg<49.363164321184 AND ville_longitude_deg>-0.62517330879638 AND ville_longitude_deg<-0.074826691203624 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0235

    SELECT ville_cp, ROUND((((acos(sin((49.1833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.1833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.35- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.733639197041 AND ville_latitude_deg<49.632960802959 AND ville_longitude_deg>-1.0379392041447 AND ville_longitude_deg<0.33793920414469 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0439

    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((49.1833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.1833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.35- 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='39' AND MATCH (wish_desc) AGAINST ('(+étudiant*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (14000,14000,14200,14120,14111,14123,14280,14610,14460,14123,14730,14760,14280,14123,14112,14840,14540,14610,14840,14540,14280,14540,14550,14610,14930,14650,14930,14320,14920,14320,14610,14630,14850,14790,14790,14540,14540,14320,14970,14740,14860,14980,14850,14320,14630,14112,14320,14540,14940,14940,14940,14610,14740,14860,14790,14610,14630,14540,14970,14610,14740,14930,14440,14440,14210,14370,14210,14860,14880,14320,14440,14320,14880,14610,14670,14610,14370,14210,14210,14670,14740,14210,14121,14540,14440,14210,14530,14680,14370,14780,14610,14150,14860,14740,14210,14480,14740,14220,14540,14210,14210,14210,14210,14370,14210,14670,14740,14670,14540,14680,14830,14810,14670,14390,14480,14810,14480,14370,14220,14470,14740,14370,14210,14680,14220,14250,14480,14390,14210,14190,14220,14370,14210,14250,14670,14250,14670,14750,14190,14680,14370,14210,14480,14480,14250,14250,14990,14480,14210,14190,14220,14210,14190,14480,14470,14250,14480,14210,14480,14220,14430,14370,14250,14470,14480,14740,14480,14480,14190,14210,14310,14250,14250,14190,14190,14160,14740,14310,14370,14270,14250,14210) 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 = 90912 AND W.type_id = 1) OR (W.util_id <> 90912 AND W.type_id = 2)) AND (M.post_util_id = 90912 OR M.dest_util_id = 90912) 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=90912 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 = 98444 AND W.type_id = 1) OR (W.util_id <> 98444 AND W.type_id = 2)) AND (M.post_util_id = 98444 OR M.dest_util_id = 98444) 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=98444 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 = 139046 AND W.type_id = 1) OR (W.util_id <> 139046 AND W.type_id = 2)) AND (M.post_util_id = 139046 OR M.dest_util_id = 139046) 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=139046 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 = 161105 AND W.type_id = 1) OR (W.util_id <> 161105 AND W.type_id = 2)) AND (M.post_util_id = 161105 OR M.dest_util_id = 161105) 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=161105 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 = 242353 AND W.type_id = 1) OR (W.util_id <> 242353 AND W.type_id = 2)) AND (M.post_util_id = 242353 OR M.dest_util_id = 242353) 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=242353 AND note_visu IN (1,3,4)

32. 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 = 245918 AND W.type_id = 1) OR (W.util_id <> 245918 AND W.type_id = 2)) AND (M.post_util_id = 245918 OR M.dest_util_id = 245918) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

33. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=245918 AND note_visu IN (1,3,4)

34. 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 = 445164 AND W.type_id = 1) OR (W.util_id <> 445164 AND W.type_id = 2)) AND (M.post_util_id = 445164 OR M.dest_util_id = 445164) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

35. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=445164 AND note_visu IN (1,3,4)

36. 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 = 345248 AND W.type_id = 1) OR (W.util_id <> 345248 AND W.type_id = 2)) AND (M.post_util_id = 345248 OR M.dest_util_id = 345248) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

37. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=345248 AND note_visu IN (1,3,4)

38. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='14000'

39. 0.0034

    SELECT ville_cp, ROUND((((acos(sin((49.1833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.1833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.35- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.003435678816 AND ville_latitude_deg<49.363164321184 AND ville_longitude_deg>-0.62517330879638 AND ville_longitude_deg<-0.074826691203624 HAVING distance <= 20 ORDER BY distance ASC

40. 0.0255

    SELECT ville_cp, ROUND((((acos(sin((49.1833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.1833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.35- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.733639197041 AND ville_latitude_deg<49.632960802959 AND ville_longitude_deg>-1.0379392041447 AND ville_longitude_deg<0.33793920414469 HAVING distance <= 50 ORDER BY distance ASC

41. 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 (939,1031)

42. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (245918,139046,161105,90912,445164,98444,242353,345248)

43. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (245918,139046,161105,90912,445164,98444,242353,345248)

44. 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=39 AND ss.fami_id=3 ORDER BY ssrubr_order LIMIT 6,100

45. 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='étudiant' OR ssrubr_slug like '%étudiant%' OR MATCH (ssrubr_slug) AGAINST ('(+étudiant)')) AND sk.ssrubr_id='939' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

46. 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 = 39 AND ss.ssrubr_id <> 939 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

47. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='939' AND actu_niveau=0 ORDER BY actu_ordre DESC

48. 0.0001

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

49. 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

50. 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 (39) ORDER BY ssrubr_order ASC

51. 0.0013

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

52. 0.0297

    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'

53. 0.0212

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

53 requetes sql en 0.1602