Location aspirateur à 93190 Livry-gargan

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='electromenager'

3. 0.0001

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=207

4. 0

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='93'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='93190' AND ville_nom like '%livry%gargan%' 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. 0.0012

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%aspirateur%' OR ssrubr_title like '%aspirateur%' OR ssrubr_slug like '%aspirateur%') AND cate_id='207' 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='93190'

12. 0.0024

    SELECT ville_cp, ROUND((((acos(sin((48.9167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.55- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.736835678816 AND ville_latitude_deg<49.096564321184 AND ville_longitude_deg>2.276298272488 AND ville_longitude_deg<2.823701727512 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='aspirateur'

14. 0.0007

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='207'AND MATCH (wish_title,wish_desc) AGAINST ('+aspirateur*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '93190%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=207

16. 0.0003

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='aspirateur' OR ssrubr_slug='aspirateur' OR (ssrubr_title like '%aspirateur%')) AND cate_id='207' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='aspirateur' AND cate_id='207'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='93190'

19. 0.0023

    SELECT ville_cp, ROUND((((acos(sin((48.9167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.55- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.736835678816 AND ville_latitude_deg<49.096564321184 AND ville_longitude_deg>2.276298272488 AND ville_longitude_deg<2.823701727512 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0081

    SELECT ville_cp, ROUND((((acos(sin((48.9167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.55- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.467039197041 AND ville_latitude_deg<49.366360802959 AND ville_longitude_deg>1.8657397807905 AND ville_longitude_deg<3.2342602192095 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0397

    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((48.9167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.55- 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='207' AND MATCH (wish_desc) AGAINST ('(+aspirateur*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (93190,93190,93390,93270,93410,93370,77181,93470,93340,93320,93220,93600,93290,77181,77270,77500,93250,93420,93460,93360,93140,77177,93130,77410,93110,93160,93330,93000,93700,93150,77420,94170,77290,94120,77360,94350,93260,93230,95700,94360,77186,93350,95500,77410,93100,95500,77200,93440,77400,95500,94130,77185,95500,93500,94420,95140,93170,77400,94300,94500,77410,93310,77990,77184,77410,93300,93120,95400,77600,77410,77400,77400,77290,77090,77183,95190,94340,93240,77400,95380,94410,77990,94430,77410,77600,77600,77400,94160,95380,94210,94340,94100,77410,77340,77400,95720,77230,77600,93200,93210,77230,77230,93380,94220,95380,94880,94880,94490,95380,77680,94510,95200,95400,77600,77164,94700,77230,95360,77144,77450,93430,93450,92390,93400,94000,95720,94140,77700,77144,95350,75012,75004,75002,75011,75010,75000,75005,75003,75008,75007,75006,75001,75014,75015,75116,75020,75019,75018,75017,75016,75009,75013,95410,95440,77230,94205,94200,95190,94370,94380,95470,77410,77230,77135,77230,77230,77450,77410,77600,95380,94380,77230,94270,77410,95170,77230,95880,93800,95190,95160,77165,95350,92230,77700,92110,95720,94400,95470,77410,77700,95460,77450,94800,94470,95850,77330,95670,77230,94600,77165,92600,94250,77165,77165,94460,77450,77450,92300,95230,95850,95720) AND type_id=1 GROUP BY wish_id

22. 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 = 152877 AND W.type_id = 1) OR (W.util_id <> 152877 AND W.type_id = 2)) AND (M.post_util_id = 152877 OR M.dest_util_id = 152877) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

23. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=152877 AND note_visu IN (1,3,4)

24. 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 = 183906 AND W.type_id = 1) OR (W.util_id <> 183906 AND W.type_id = 2)) AND (M.post_util_id = 183906 OR M.dest_util_id = 183906) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

25. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=183906 AND note_visu IN (1,3,4)

26. 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 = 232748 AND W.type_id = 1) OR (W.util_id <> 232748 AND W.type_id = 2)) AND (M.post_util_id = 232748 OR M.dest_util_id = 232748) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

27. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=232748 AND note_visu IN (1,3,4)

28. 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 = 264545 AND W.type_id = 1) OR (W.util_id <> 264545 AND W.type_id = 2)) AND (M.post_util_id = 264545 OR M.dest_util_id = 264545) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

29. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=264545 AND note_visu IN (1,3,4)

30. 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 = 263888 AND W.type_id = 1) OR (W.util_id <> 263888 AND W.type_id = 2)) AND (M.post_util_id = 263888 OR M.dest_util_id = 263888) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

31. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=263888 AND note_visu IN (1,3,4)

32. 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 = 283184 AND W.type_id = 1) OR (W.util_id <> 283184 AND W.type_id = 2)) AND (M.post_util_id = 283184 OR M.dest_util_id = 283184) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

33. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=283184 AND note_visu IN (1,3,4)

34. 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 = 228713 AND W.type_id = 1) OR (W.util_id <> 228713 AND W.type_id = 2)) AND (M.post_util_id = 228713 OR M.dest_util_id = 228713) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

35. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=228713 AND note_visu IN (1,3,4)

36. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='93190'

37. 0.0021

    SELECT ville_cp, ROUND((((acos(sin((48.9167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.55- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.736835678816 AND ville_latitude_deg<49.096564321184 AND ville_longitude_deg>2.276298272488 AND ville_longitude_deg<2.823701727512 HAVING distance <= 20 ORDER BY distance ASC

38. 0.0065

    SELECT ville_cp, ROUND((((acos(sin((48.9167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.55- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.467039197041 AND ville_latitude_deg<49.366360802959 AND ville_longitude_deg>1.8657397807905 AND ville_longitude_deg<3.2342602192095 HAVING distance <= 50 ORDER BY distance ASC

39. 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 (678,1170)

40. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (283184,228713,183906,263888,264545,152877,232748)

41. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (283184,228713,183906,263888,264545,152877,232748)

42. 0.0004

    SELECT ssrubr_id, ssrubr_title, ssrubr_slug, ssrubr_photo, cate_title_slug FROM ssrubr ss, category c WHERE ss.cate_id=c.cate_id AND ssrubr_visu=1 AND ss.cate_id=207 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

43. 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='aspirateur' OR ssrubr_slug like '%aspirateur%' OR MATCH (ssrubr_slug) AGAINST ('(+aspirateur)')) AND sk.ssrubr_id='678' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

44. 0.0003

    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 = 207 AND ss.ssrubr_id <> 678 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

45. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='678' AND actu_niveau=0 ORDER BY actu_ordre DESC

46. 0

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

47. 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

48. 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 (207) ORDER BY ssrubr_order ASC

49. 0.001

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

50. 0.0234

    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'

51. 0.0169

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

51 requetes sql en 0.1102