Location valise diagnostic à 92250 La garenne-colombes

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='5' AND cate_title_slug='outillage-mecanique-automobile'

3. 0.0001

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=227

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='92250' AND ville_nom like '%la%garenne%colombes%' 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. 0.0002

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%valise%diag%auto%' OR ssrubr_title like '%valise%diag%auto%' OR ssrubr_slug like '%valise%diag%auto%') AND cate_id='227' 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='92250'

12. 0.0026

    SELECT ville_cp, ROUND((((acos(sin((48.9*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9*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>48.720135678816 AND ville_latitude_deg<49.079864321184 AND ville_longitude_deg>1.9763897328734 AND ville_longitude_deg<2.5236102671266 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='valise diagnostique; valise diag auto; valise diag'

14. 0.0023

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='227' AND ssrubr_id='874' AND wish_visu IN (1,6,10) AND wish_cp like '92250%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=227

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='valise diagnostique; valise diag auto; valise diag' OR ssrubr_slug='valise-diagnostique;-valise-diag-auto;-valise-diag' OR (ssrubr_title like '%valise diagnostique; valise diag auto; valise diag%')) AND cate_id='227' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='valise-diag-auto' AND cate_id='227'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='92250'

19. 0.003

    SELECT ville_cp, ROUND((((acos(sin((48.9*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9*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>48.720135678816 AND ville_latitude_deg<49.079864321184 AND ville_longitude_deg>1.9763897328734 AND ville_longitude_deg<2.5236102671266 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0094

    SELECT ville_cp, ROUND((((acos(sin((48.9*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9*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>48.450339197041 AND ville_latitude_deg<49.349660802959 AND ville_longitude_deg>1.5659684337256 AND ville_longitude_deg<2.9340315662744 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0028

    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((48.9*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9*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='5' AND cate_id='227' AND ssrubr_id='874' AND wish_visu IN (1,6,10) AND wish_cp IN (92250,92250,92400,92700,92270,92200,92300,92600,92000,92110,92150,92800,78800,92500,95870,92230,78420,95100,93400,92210,93800,93450,92390,78500,92100,95110,78400,78360,95210,95218,92380,75004,75011,75012,75013,75014,75015,75017,75016,75018,75019,75020,75116,75010,75009,75001,75000,75002,75003,75005,75006,75007,75008,92170,93200,93210,95880,95530,78600,78170,92420,92430,78380,78290,93430,92130,95120,95130,92410,78110,78600,78560,93300,93120,95230,92310,95240,92240,92360,92190,95360,78430,95370,92120,78230,93500,95170,94250,93310,95130,92140,93240,93380,95600,92320,95580,95580,92220,92370,95410,78140,78100,78150,78750,78150,94270,95160,95220,94110,78220,93350,93170,78160,95320,92350,95390,95680,92330,92260,93440,78870,94200,94205,95250,78112,93260,93230,93100,78620,95350,94800,78000,95140,94160,95480,94231,94240,94238,94237,94236,94235,94234,94233,94239,94232,94230,78700,78590,94300,93000,92340,95200,95400,92290,95350,95550,95150,93150,78300,93700,95400,95500,94220,78260,78240,93140,93130,95330,78350,95440,78570,78590,94140,94550,95840,95560,91370,78955,95740,91570,95610,94400,78240,95570,92160,95460,78530,78350,95500,78330,94260,78780,94700,78210,93110,95570,94320,94410,78860,94120,95570,94150,78570,94340,93250,95840,94130,78450,95720,95000,91300,91430,95560,95540,91430,78670,78670,94170,95560,95720,94600,95310,78117,95500,93340,93320,91400,91320,95430,78630,93360,95720,95300,95000,94390,94310,78280) 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 (22107,93653,129294,175989,218223,225367,279594,279641,334923,277618,548955)

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 = 22107 AND W.type_id = 1) OR (W.util_id <> 22107 AND W.type_id = 2)) AND (M.post_util_id = 22107 OR M.dest_util_id = 22107) 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=22107 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 = 93653 AND W.type_id = 1) OR (W.util_id <> 93653 AND W.type_id = 2)) AND (M.post_util_id = 93653 OR M.dest_util_id = 93653) 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=93653 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 = 129294 AND W.type_id = 1) OR (W.util_id <> 129294 AND W.type_id = 2)) AND (M.post_util_id = 129294 OR M.dest_util_id = 129294) 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=129294 AND note_visu IN (1,3,4)

29. 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 = 175989 AND W.type_id = 1) OR (W.util_id <> 175989 AND W.type_id = 2)) AND (M.post_util_id = 175989 OR M.dest_util_id = 175989) 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=175989 AND note_visu IN (1,3,4)

31. 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 = 218223 AND W.type_id = 1) OR (W.util_id <> 218223 AND W.type_id = 2)) AND (M.post_util_id = 218223 OR M.dest_util_id = 218223) 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=218223 AND note_visu IN (1,3,4)

33. 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 = 225367 AND W.type_id = 1) OR (W.util_id <> 225367 AND W.type_id = 2)) AND (M.post_util_id = 225367 OR M.dest_util_id = 225367) 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=225367 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 = 279594 AND W.type_id = 1) OR (W.util_id <> 279594 AND W.type_id = 2)) AND (M.post_util_id = 279594 OR M.dest_util_id = 279594) 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=279594 AND note_visu IN (1,3,4)

37. 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 = 279641 AND W.type_id = 1) OR (W.util_id <> 279641 AND W.type_id = 2)) AND (M.post_util_id = 279641 OR M.dest_util_id = 279641) 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=279641 AND note_visu IN (1,3,4)

39. 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 = 334923 AND W.type_id = 1) OR (W.util_id <> 334923 AND W.type_id = 2)) AND (M.post_util_id = 334923 OR M.dest_util_id = 334923) 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=334923 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 = 277618 AND W.type_id = 1) OR (W.util_id <> 277618 AND W.type_id = 2)) AND (M.post_util_id = 277618 OR M.dest_util_id = 277618) 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=277618 AND note_visu IN (1,3,4)

43. 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 = 548955 AND W.type_id = 1) OR (W.util_id <> 548955 AND W.type_id = 2)) AND (M.post_util_id = 548955 OR M.dest_util_id = 548955) 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=548955 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='92250'

46. 0.003

    SELECT ville_cp, ROUND((((acos(sin((48.9*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9*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>48.720135678816 AND ville_latitude_deg<49.079864321184 AND ville_longitude_deg>1.9763897328734 AND ville_longitude_deg<2.5236102671266 HAVING distance <= 20 ORDER BY distance ASC

47. 0.0092

    SELECT ville_cp, ROUND((((acos(sin((48.9*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9*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>48.450339197041 AND ville_latitude_deg<49.349660802959 AND ville_longitude_deg>1.5659684337256 AND ville_longitude_deg<2.9340315662744 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 (874)

49. 0.0003

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (279594,334923,279641,218223,277618,175989,225367,22107,548955,129294,93653)

50. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (279594,334923,279641,218223,277618,175989,225367,22107,548955,129294,93653)

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='valise diagnostique; valise diag auto; valise diag' OR ssrubr_slug like '%valise diagnostique; valise diag auto; valise diag%' OR MATCH (ssrubr_slug) AGAINST ('(+valise +diagnostique; +valise +diag +auto; +valise +diag)')) AND sk.ssrubr_id='874' 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 = 5 AND ss.cate_id = 227 AND ss.ssrubr_id <> 874 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

53. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='874' 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. 0.0001

    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

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 (227) ORDER BY ssrubr_order ASC

57. 0.0009

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

58. 0.0257

    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. 0.0185

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

59 requetes sql en 0.0846