Location sono à 78540 Vernouillet

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='high-tech'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=208

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('78' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='78540' AND ville_nom like '%vernouillet%' 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 '%sono%' OR ssrubr_title like '%sono%' OR ssrubr_slug like '%sono%') AND cate_id='208' 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='78540'

12. 0.0023

    SELECT ville_cp, ROUND((((acos(sin((48.9667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.98333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.786835678816 AND ville_latitude_deg<49.146564321184 AND ville_longitude_deg>1.7093539337662 AND ville_longitude_deg<2.2573060662338 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='sono'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='208'AND MATCH (wish_title,wish_desc) AGAINST ('+sono*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '78540%'

15. 0

    SELECT * FROM texte WHERE cate_id=208

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='sono' OR ssrubr_slug='sono' OR (ssrubr_title like '%sono%')) AND cate_id='208' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='sono' AND cate_id='208'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='78540'

19. 0.002

    SELECT ville_cp, ROUND((((acos(sin((48.9667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.98333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.786835678816 AND ville_latitude_deg<49.146564321184 AND ville_longitude_deg>1.7093539337662 AND ville_longitude_deg<2.2573060662338 HAVING distance <= 20 ORDER BY distance ASC

20. 0.015

    SELECT ville_cp, ROUND((((acos(sin((48.9667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.98333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.517039197041 AND ville_latitude_deg<49.416360802959 AND ville_longitude_deg>1.2983839280719 AND ville_longitude_deg<2.6682760719281 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0247

    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((48.9667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.98333- 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='208' AND MATCH (wish_desc) AGAINST ('(+sono*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (78540,78540,78480,78510,78670,78670,78130,78570,78955,78630,78920,95180,78630,95000,78740,78740,78410,78260,78130,78300,78570,95280,78780,78250,78250,78580,95800,95450,78240,78250,95000,95490,78240,78250,78410,78700,78580,78250,95650,95450,95000,78410,78121,95610,78580,78820,78100,78126,78600,78112,78410,78410,78810,78580,95450,78230,78124,95650,78810,95450,78750,78250,78110,78600,78680,95300,78124,95520,78620,78440,95450,78450,95650,95650,78860,78160,78360,78970,78440,95310,78560,95450,78850,95220,78440,95300,95450,95450,95650,78590,78440,95480,95530,95370,78500,78430,95450,78870,78450,78440,78440,78770,78400,95450,78650,78590,78380,78290,78440,78420,78580,78440,95240,78640,78930,78440,78770,78340,95830,95250,78800,78930,95830,78370,95450,95300,95450,95450,78330,95430,78770,95870,92000,78150,95810,95450,78640,78170,78640,78440,78520,95510,95130,78770,92500,78770,95420,95300,78650,95550,95150,78440,95130,78930,78770,95640,95640,78390,78640,78150,95810,95640,78770,95540,95740,78200,95110,78711,78210,78200,78930,95100,78790,78790,78930,78490) 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 (73445,89534,130259,156051,215375,193377,331094,358594,375883,379178,434600,440023,541737,542163)

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 = 73445 AND W.type_id = 1) OR (W.util_id <> 73445 AND W.type_id = 2)) AND (M.post_util_id = 73445 OR M.dest_util_id = 73445) 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=73445 AND note_visu IN (1,3,4)

25. 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 = 89534 AND W.type_id = 1) OR (W.util_id <> 89534 AND W.type_id = 2)) AND (M.post_util_id = 89534 OR M.dest_util_id = 89534) 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=89534 AND note_visu IN (1,3,4)

27. 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 = 130259 AND W.type_id = 1) OR (W.util_id <> 130259 AND W.type_id = 2)) AND (M.post_util_id = 130259 OR M.dest_util_id = 130259) 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=130259 AND note_visu IN (1,3,4)

29. 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 = 156051 AND W.type_id = 1) OR (W.util_id <> 156051 AND W.type_id = 2)) AND (M.post_util_id = 156051 OR M.dest_util_id = 156051) 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=156051 AND note_visu IN (1,3,4)

31. 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 = 215375 AND W.type_id = 1) OR (W.util_id <> 215375 AND W.type_id = 2)) AND (M.post_util_id = 215375 OR M.dest_util_id = 215375) 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=215375 AND note_visu IN (1,3,4)

33. 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 = 193377 AND W.type_id = 1) OR (W.util_id <> 193377 AND W.type_id = 2)) AND (M.post_util_id = 193377 OR M.dest_util_id = 193377) 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=193377 AND note_visu IN (1,3,4)

35. 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 = 331094 AND W.type_id = 1) OR (W.util_id <> 331094 AND W.type_id = 2)) AND (M.post_util_id = 331094 OR M.dest_util_id = 331094) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

36. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=331094 AND note_visu IN (1,3,4)

37. 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 = 358594 AND W.type_id = 1) OR (W.util_id <> 358594 AND W.type_id = 2)) AND (M.post_util_id = 358594 OR M.dest_util_id = 358594) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

38. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=358594 AND note_visu IN (1,3,4)

39. 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 = 375883 AND W.type_id = 1) OR (W.util_id <> 375883 AND W.type_id = 2)) AND (M.post_util_id = 375883 OR M.dest_util_id = 375883) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

40. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=375883 AND note_visu IN (1,3,4)

41. 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 = 379178 AND W.type_id = 1) OR (W.util_id <> 379178 AND W.type_id = 2)) AND (M.post_util_id = 379178 OR M.dest_util_id = 379178) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

42. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=379178 AND note_visu IN (1,3,4)

43. 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 = 434600 AND W.type_id = 1) OR (W.util_id <> 434600 AND W.type_id = 2)) AND (M.post_util_id = 434600 OR M.dest_util_id = 434600) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

44. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=434600 AND note_visu IN (1,3,4)

45. 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 = 440023 AND W.type_id = 1) OR (W.util_id <> 440023 AND W.type_id = 2)) AND (M.post_util_id = 440023 OR M.dest_util_id = 440023) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

46. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=440023 AND note_visu IN (1,3,4)

47. 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 = 541737 AND W.type_id = 1) OR (W.util_id <> 541737 AND W.type_id = 2)) AND (M.post_util_id = 541737 OR M.dest_util_id = 541737) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

48. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=541737 AND note_visu IN (1,3,4)

49. 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 = 542163 AND W.type_id = 1) OR (W.util_id <> 542163 AND W.type_id = 2)) AND (M.post_util_id = 542163 OR M.dest_util_id = 542163) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

50. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=542163 AND note_visu IN (1,3,4)

51. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='78540'

52. 0.0019

    SELECT ville_cp, ROUND((((acos(sin((48.9667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.98333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.786835678816 AND ville_latitude_deg<49.146564321184 AND ville_longitude_deg>1.7093539337662 AND ville_longitude_deg<2.2573060662338 HAVING distance <= 20 ORDER BY distance ASC

53. 0.0142

    SELECT ville_cp, ROUND((((acos(sin((48.9667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((1.98333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.517039197041 AND ville_latitude_deg<49.416360802959 AND ville_longitude_deg>1.2983839280719 AND ville_longitude_deg<2.6682760719281 HAVING distance <= 50 ORDER BY distance ASC

54. 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 (1111)

55. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (331094,89534,215375,541737,434600,542163,193377,156051,358594,130259,73445,379178,440023,375883)

56. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (331094,89534,215375,541737,434600,542163,193377,156051,358594,130259,73445,379178,440023,375883)

57. 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='sono' OR ssrubr_slug like '%sono%' OR MATCH (ssrubr_slug) AGAINST ('(+sono)')) AND sk.ssrubr_id='1111' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

58. 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 = 208 AND ss.ssrubr_id <> 1111 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

59. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='1111' AND actu_niveau=0 ORDER BY actu_ordre DESC

60. 0

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

61. 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

62. 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 (208) ORDER BY ssrubr_order ASC

63. 0.0009

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

64. 0.0194

    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'

65. 0.0156

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

65 requetes sql en 0.103