Service aménager jardin à 91120 Palaiseau

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='jardinage'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=38

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='91120' AND ville_nom like '%palaiseau%' 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 '%amenagement%jardin%' OR ssrubr_title like '%amenagement%jardin%' OR ssrubr_slug like '%amenagement%jardin%') AND cate_id='38' 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='91120'

12. 0.0021

    SELECT ville_cp, ROUND((((acos(sin((48.7167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.25- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.536835678816 AND ville_latitude_deg<48.896564321184 AND ville_longitude_deg>1.977388085411 AND ville_longitude_deg<2.522611914589 HAVING distance <= 20 ORDER BY distance ASC

13. 0

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='aménagement; amenagement jardin'

14. 0.0027

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='38' AND ssrubr_id='999' AND wish_visu IN (1,6,10) AND wish_cp like '91120%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=38

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='aménagement; amenagement jardin' OR ssrubr_slug='aménagement;-amenagement-jardin' OR (ssrubr_title like '%aménagement; amenagement jardin%')) AND cate_id='38' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='amenagement-jardin' AND cate_id='38'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='91120'

19. 0.0019

    SELECT ville_cp, ROUND((((acos(sin((48.7167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.25- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.536835678816 AND ville_latitude_deg<48.896564321184 AND ville_longitude_deg>1.977388085411 AND ville_longitude_deg<2.522611914589 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0066

    SELECT ville_cp, ROUND((((acos(sin((48.7167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.25- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.267039197041 AND ville_latitude_deg<49.166360802959 AND ville_longitude_deg>1.5684643365919 AND ville_longitude_deg<2.9315356634081 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0023

    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((48.7167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.25- 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='38' AND ssrubr_id='999' AND wish_visu IN (1,6,10) AND wish_cp IN (91120,91120,91140,91160,91430,91300,91370,91160,91140,91380,91430,91160,91570,92160,91400,92290,91160,94260,91400,91320,91420,91440,91940,91360,92350,91620,91620,92330,92260,92340,94150,78350,91360,91700,91940,91550,91190,94550,91600,91390,91190,91940,92140,91460,91310,91310,92320,91310,94237,94236,94238,94239,94235,94234,94233,94232,94231,94230,94240,91190,92220,92370,91240,78530,78350,92360,92190,91640,78117,78140,91260,91200,78220,94110,91700,91310,78117,92130,94320,91400,91170,94390,94310,92240,92310,92120,91220,91220,94480,91350,94290,91270,78470,78000,94800,91700,94250,92410,91210,92100,91180,94400,91640,94600,92170,91680,78114,94270,92430,92420,92210,91000,91470,91130,78280,91470,91560,92380,94190,78460,78470,91230,94205,94200,91640,91070,91290,91290,91680,91340,91520,78960,78150,91470,94140,91470,91080,78150,91640,94700,94460,78210,91470,91450,94220,78170,91630,92150,91630,92800,78180,91630,94450,78470,75019,75020,75116,91000,91090,75018,75017,75009,75007,75006,75005,75004,75003,75002,75000,75001,75010,75011,75016,75014,75013,75015,75008,75012,91650,91630,78460,94000,91650,91530,94160,91090,94380,91330,78330,91450,78720,91800,92200,91630,91790,78290,78380,91810,91650,92500,94410,78870,78430,94340,78830,78390,78720,78590,78190,94470,91860,78720,78400,91540,78590,94300) 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 (4861,45646,21441,104103,75504,125410,212917,151499,285525,71897,331255)

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 = 4861 AND W.type_id = 1) OR (W.util_id <> 4861 AND W.type_id = 2)) AND (M.post_util_id = 4861 OR M.dest_util_id = 4861) 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=4861 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 = 45646 AND W.type_id = 1) OR (W.util_id <> 45646 AND W.type_id = 2)) AND (M.post_util_id = 45646 OR M.dest_util_id = 45646) 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=45646 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 = 21441 AND W.type_id = 1) OR (W.util_id <> 21441 AND W.type_id = 2)) AND (M.post_util_id = 21441 OR M.dest_util_id = 21441) 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=21441 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 = 104103 AND W.type_id = 1) OR (W.util_id <> 104103 AND W.type_id = 2)) AND (M.post_util_id = 104103 OR M.dest_util_id = 104103) 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=104103 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 = 75504 AND W.type_id = 1) OR (W.util_id <> 75504 AND W.type_id = 2)) AND (M.post_util_id = 75504 OR M.dest_util_id = 75504) 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=75504 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 = 125410 AND W.type_id = 1) OR (W.util_id <> 125410 AND W.type_id = 2)) AND (M.post_util_id = 125410 OR M.dest_util_id = 125410) 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=125410 AND note_visu IN (1,3,4)

35. 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 = 212917 AND W.type_id = 1) OR (W.util_id <> 212917 AND W.type_id = 2)) AND (M.post_util_id = 212917 OR M.dest_util_id = 212917) 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=212917 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 = 151499 AND W.type_id = 1) OR (W.util_id <> 151499 AND W.type_id = 2)) AND (M.post_util_id = 151499 OR M.dest_util_id = 151499) 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=151499 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 = 285525 AND W.type_id = 1) OR (W.util_id <> 285525 AND W.type_id = 2)) AND (M.post_util_id = 285525 OR M.dest_util_id = 285525) 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=285525 AND note_visu IN (1,3,4)

41. 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 = 71897 AND W.type_id = 1) OR (W.util_id <> 71897 AND W.type_id = 2)) AND (M.post_util_id = 71897 OR M.dest_util_id = 71897) 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=71897 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 = 331255 AND W.type_id = 1) OR (W.util_id <> 331255 AND W.type_id = 2)) AND (M.post_util_id = 331255 OR M.dest_util_id = 331255) 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=331255 AND note_visu IN (1,3,4)

45. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='91120'

46. 0.0018

    SELECT ville_cp, ROUND((((acos(sin((48.7167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.25- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.536835678816 AND ville_latitude_deg<48.896564321184 AND ville_longitude_deg>1.977388085411 AND ville_longitude_deg<2.522611914589 HAVING distance <= 20 ORDER BY distance ASC

47. 0.0061

    SELECT ville_cp, ROUND((((acos(sin((48.7167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.25- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.267039197041 AND ville_latitude_deg<49.166360802959 AND ville_longitude_deg>1.5684643365919 AND ville_longitude_deg<2.9315356634081 HAVING distance <= 50 ORDER BY distance ASC

48. 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 (999)

49. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (21441,331255,212917,125410,71897,151499,104103,45646,4861,75504,285525)

50. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (21441,331255,212917,125410,71897,151499,104103,45646,4861,75504,285525)

51. 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='aménagement; amenagement jardin' OR ssrubr_slug like '%aménagement; amenagement jardin%' OR MATCH (ssrubr_slug) AGAINST ('(+aménagement; +amenagement +jardin)')) AND sk.ssrubr_id='999' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

52. 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 = 38 AND ss.ssrubr_id <> 999 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

53. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='999' AND actu_niveau=0 ORDER BY actu_ordre DESC

54. 0

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

55. 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

56. 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 (38) ORDER BY ssrubr_order ASC

57. 0.0011

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

58. 0.0214

    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'

59. 0.0162

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

59 requetes sql en 0.0683