Service elagage à 92340 Bourg-la-reine

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('92' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='92340' AND ville_nom like '%bourg%la%reine%' 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 '%elagage%' OR ssrubr_title like '%elagage%' OR ssrubr_slug like '%elagage%') 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='92340'

12. 0.0023

    SELECT ville_cp, ROUND((((acos(sin((48.775*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.775*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.31667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.595135678816 AND ville_latitude_deg<48.954864321184 AND ville_longitude_deg>2.0437416454043 AND ville_longitude_deg<2.5895983545957 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='élagage'

14. 0.002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='38' AND ssrubr_id='526' AND wish_visu IN (1,6,10) AND wish_cp like '92340%'

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='élagage' OR ssrubr_slug='élagage' OR (ssrubr_title like '%élagage%')) 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='elagage' AND cate_id='38'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='92340'

19. 0.0023

    SELECT ville_cp, ROUND((((acos(sin((48.775*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.775*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.31667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.595135678816 AND ville_latitude_deg<48.954864321184 AND ville_longitude_deg>2.0437416454043 AND ville_longitude_deg<2.5895983545957 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0065

    SELECT ville_cp, ROUND((((acos(sin((48.775*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.775*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.31667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.325339197041 AND ville_latitude_deg<49.224660802959 AND ville_longitude_deg>1.6343432297533 AND ville_longitude_deg<2.9989967702467 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0021

    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((48.775*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.775*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.31667- 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='526' AND wish_visu IN (1,6,10) AND wish_cp IN (92340,92340,94231,94235,94234,94233,94236,94232,94230,94240,94237,94238,94239,94550,92260,92330,94260,92160,94110,92220,94150,92320,92290,92350,91370,92140,94800,92120,92240,91320,94250,94320,91300,92130,94270,94400,92170,92360,92190,94310,94390,94200,94205,94600,91550,94140,91570,91120,92100,91380,91420,91160,91430,94290,94220,91200,92370,94700,91160,75018,75002,75019,75006,75003,75004,75005,75000,75001,75007,75008,75012,75013,75014,75009,75015,75016,75010,75017,75011,75116,91140,75020,92310,91430,94160,94480,78140,92210,92410,94190,91160,94000,78350,91270,91260,78220,94460,94410,91560,92800,92150,91140,91400,94340,94300,91360,91360,92430,92420,94380,92380,91160,91600,91390,93170,91210,92200,91400,91230,91170,94450,93100,78350,78530,93310,94100,94210,94340,78000,91440,94130,93400,91700,92110,92300,91620,92400,92250,91350,93230,92500,93260,78170,94120,94430,91330,91190,94470,78117,91940,78150,93500,91620,92600,94500,91000,91130,91240,94170,91700,91800,93110,94370,94380,91310,94360,78150,91190,92270,91310,91310,91700,93130,91940,92000,92700,93300,93120,78117,78290,78380,91940,91190,91460,93000,91450,94880,94880,94490,78400,94440,91220,91220,92390,92230,93450,93140,94440,93360,78430,91860,93200,93210,93330,78800,93250,91070,91310,94350,78280,91640,78210,78420,91090,91000,91080,91800,94420,78114,78560,91400,78870,78470,94520,94520,95870,93350,91450,94440,93800,94510,78960,78160,93220,78360,91480) 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 (66558,68966,88692,97997,126031,216300,231401,21593,240698,346217,428115)

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 = 66558 AND W.type_id = 1) OR (W.util_id <> 66558 AND W.type_id = 2)) AND (M.post_util_id = 66558 OR M.dest_util_id = 66558) 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=66558 AND note_visu IN (1,3,4)

25. 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 = 68966 AND W.type_id = 1) OR (W.util_id <> 68966 AND W.type_id = 2)) AND (M.post_util_id = 68966 OR M.dest_util_id = 68966) 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=68966 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 = 88692 AND W.type_id = 1) OR (W.util_id <> 88692 AND W.type_id = 2)) AND (M.post_util_id = 88692 OR M.dest_util_id = 88692) 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=88692 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 = 97997 AND W.type_id = 1) OR (W.util_id <> 97997 AND W.type_id = 2)) AND (M.post_util_id = 97997 OR M.dest_util_id = 97997) 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=97997 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 = 126031 AND W.type_id = 1) OR (W.util_id <> 126031 AND W.type_id = 2)) AND (M.post_util_id = 126031 OR M.dest_util_id = 126031) 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=126031 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 = 216300 AND W.type_id = 1) OR (W.util_id <> 216300 AND W.type_id = 2)) AND (M.post_util_id = 216300 OR M.dest_util_id = 216300) 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=216300 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 = 231401 AND W.type_id = 1) OR (W.util_id <> 231401 AND W.type_id = 2)) AND (M.post_util_id = 231401 OR M.dest_util_id = 231401) 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=231401 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 = 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 <> ''

38. 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)

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 = 240698 AND W.type_id = 1) OR (W.util_id <> 240698 AND W.type_id = 2)) AND (M.post_util_id = 240698 OR M.dest_util_id = 240698) 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=240698 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 = 346217 AND W.type_id = 1) OR (W.util_id <> 346217 AND W.type_id = 2)) AND (M.post_util_id = 346217 OR M.dest_util_id = 346217) 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=346217 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 = 428115 AND W.type_id = 1) OR (W.util_id <> 428115 AND W.type_id = 2)) AND (M.post_util_id = 428115 OR M.dest_util_id = 428115) 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=428115 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='92340'

46. 0.002

    SELECT ville_cp, ROUND((((acos(sin((48.775*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.775*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.31667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.595135678816 AND ville_latitude_deg<48.954864321184 AND ville_longitude_deg>2.0437416454043 AND ville_longitude_deg<2.5895983545957 HAVING distance <= 20 ORDER BY distance ASC

47. 0.0061

    SELECT ville_cp, ROUND((((acos(sin((48.775*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.775*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.31667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.325339197041 AND ville_latitude_deg<49.224660802959 AND ville_longitude_deg>1.6343432297533 AND ville_longitude_deg<2.9989967702467 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 (526)

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 (346217,66558,240698,68966,21593,231401,428115,88692,126031,216300,97997)

50. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (346217,66558,240698,68966,21593,231401,428115,88692,126031,216300,97997)

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='élagage' OR ssrubr_slug like '%élagage%' OR MATCH (ssrubr_slug) AGAINST ('(+élagage)')) AND sk.ssrubr_id='526' 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 <> 526 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

53. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='526' 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. 0.0247

    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. 0.0183

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

59 requetes sql en 0.0735