Service paysagiste à 92400 Courbevoie

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='jardinage'

3. 0.0001

   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('92' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='92400' AND ville_nom like '%courbevoie%' 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 '%paysagiste%' OR ssrubr_title like '%paysagiste%' OR ssrubr_slug like '%paysagiste%') 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. 0.0002

    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='92400'

12. 0.0024

    SELECT ville_cp, ROUND((((acos(sin((48.8973*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8973*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.25222- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.717435678816 AND ville_latitude_deg<49.077164321184 AND ville_longitude_deg>1.9786245119596 AND ville_longitude_deg<2.5258154880404 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='paysagiste; paysage; elagueur; élagueur'

14. 0.0015

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='38' AND ssrubr_id='525' AND wish_visu IN (1,6,10) AND wish_cp like '92400%'

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='paysagiste; paysage; elagueur; élagueur' OR ssrubr_slug='paysagiste;-paysage;-elagueur;-élagueur' OR (ssrubr_title like '%paysagiste; paysage; elagueur; élagueur%')) 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='paysagiste' AND cate_id='38'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='92400'

19. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((48.8973*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8973*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.25222- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.717435678816 AND ville_latitude_deg<49.077164321184 AND ville_longitude_deg>1.9786245119596 AND ville_longitude_deg<2.5258154880404 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0071

    SELECT ville_cp, ROUND((((acos(sin((48.8973*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8973*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.25222- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.447639197041 AND ville_latitude_deg<49.346960802959 AND ville_longitude_deg>1.5682253817597 AND ville_longitude_deg<2.9362146182403 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0019

    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((48.8973*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8973*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.25222- 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='525' AND wish_visu IN (1,6,10) AND wish_cp IN (92400,92400,92250,92200,92700,92300,92270,92600,92110,92800,92150,92000,92500,78800,95870,92230,78420,95100,93400,92210,92100,92390,93800,93450,78400,95110,78500,78360,75018,75008,75011,75007,75006,75005,75003,75002,75000,75001,75019,75009,75010,75020,75116,75016,75015,75004,75014,75013,75017,75012,92170,92380,95210,95218,93200,93210,92130,95880,92420,92430,78170,92410,95530,78290,78380,93430,78600,92240,95120,95130,92310,93120,93300,78110,92190,92360,78560,92120,78600,95230,95240,78430,95360,94250,93500,95370,92140,93310,92320,78230,93240,95170,92220,93380,92370,95130,95600,95410,95580,78140,95580,78150,94270,78150,94110,78100,78750,93170,78220,93350,92350,78160,95160,92260,92330,95220,94205,94200,95320,95390,93260,93230,93440,78870,95680,78112,93100,94800,95250,78000,94160,78620,94233,94232,94231,94234,94235,94239,94230,94240,94236,94238,94237,95350,94300,95140,92340,93000,78590,92290,78700,95480,95400,95200,94220,93700,93150,95350,78300,95500,95550,95150,95400,78260,93140,93130,78350,78240,94140,94550,95330,95440,91370,78590,91570,78570,94400,92160,78350,78530,95840,95560,78955,94260,94700,95740,78240,93110,95460,78330,95610,95500,95570,78210,94320,94410,94120,78780,94150,95570,78860,94340,93250,94130,91300,91430,95570,91430,78570,78450,95720,94600,94170,95840,95000,78117,95560,91320,95540,91400,95720,93320,93340,78670,78670,95500,95560,94310,94390,93360,95310,78630,95430,78280) 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 (70310,81003,85326,117600,117755,204707,193375,131971,21593,163435,400161)

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 = 70310 AND W.type_id = 1) OR (W.util_id <> 70310 AND W.type_id = 2)) AND (M.post_util_id = 70310 OR M.dest_util_id = 70310) 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=70310 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 = 81003 AND W.type_id = 1) OR (W.util_id <> 81003 AND W.type_id = 2)) AND (M.post_util_id = 81003 OR M.dest_util_id = 81003) 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=81003 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 = 85326 AND W.type_id = 1) OR (W.util_id <> 85326 AND W.type_id = 2)) AND (M.post_util_id = 85326 OR M.dest_util_id = 85326) 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=85326 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 = 117600 AND W.type_id = 1) OR (W.util_id <> 117600 AND W.type_id = 2)) AND (M.post_util_id = 117600 OR M.dest_util_id = 117600) 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=117600 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 = 117755 AND W.type_id = 1) OR (W.util_id <> 117755 AND W.type_id = 2)) AND (M.post_util_id = 117755 OR M.dest_util_id = 117755) 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=117755 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 = 204707 AND W.type_id = 1) OR (W.util_id <> 204707 AND W.type_id = 2)) AND (M.post_util_id = 204707 OR M.dest_util_id = 204707) 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=204707 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 = 193375 AND W.type_id = 1) OR (W.util_id <> 193375 AND W.type_id = 2)) AND (M.post_util_id = 193375 OR M.dest_util_id = 193375) 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=193375 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 = 131971 AND W.type_id = 1) OR (W.util_id <> 131971 AND W.type_id = 2)) AND (M.post_util_id = 131971 OR M.dest_util_id = 131971) 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=131971 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 = 21593 AND W.type_id = 1) OR (W.util_id <> 21593 AND W.type_id = 2)) AND (M.post_util_id = 21593 OR M.dest_util_id = 21593) 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=21593 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 = 163435 AND W.type_id = 1) OR (W.util_id <> 163435 AND W.type_id = 2)) AND (M.post_util_id = 163435 OR M.dest_util_id = 163435) 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=163435 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 = 400161 AND W.type_id = 1) OR (W.util_id <> 400161 AND W.type_id = 2)) AND (M.post_util_id = 400161 OR M.dest_util_id = 400161) 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=400161 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='92400'

46. 0.0026

    SELECT ville_cp, ROUND((((acos(sin((48.8973*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8973*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.25222- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.717435678816 AND ville_latitude_deg<49.077164321184 AND ville_longitude_deg>1.9786245119596 AND ville_longitude_deg<2.5258154880404 HAVING distance <= 20 ORDER BY distance ASC

47. 0.0083

    SELECT ville_cp, ROUND((((acos(sin((48.8973*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8973*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.25222- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.447639197041 AND ville_latitude_deg<49.346960802959 AND ville_longitude_deg>1.5682253817597 AND ville_longitude_deg<2.9362146182403 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 (525)

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 (21593,163435,193375,204707,70310,85326,117755,400161,81003,117600,131971)

50. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (21593,163435,193375,204707,70310,85326,117755,400161,81003,117600,131971)

51. 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='paysagiste; paysage; elagueur; élagueur' OR ssrubr_slug like '%paysagiste; paysage; elagueur; élagueur%' OR MATCH (ssrubr_slug) AGAINST ('(+paysagiste; +paysage; +elagueur; +élagueur)')) AND sk.ssrubr_id='525' 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 <> 525 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

53. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='525' AND actu_niveau=0 ORDER BY actu_ordre DESC

54. 0.0001

    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. 0.0227

    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. 0.0182

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

59 requetes sql en 0.0742