Location groupe électrogène à 95870 Bezons

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='materiel-bricolage'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=87

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='95'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='95870' AND ville_nom like '%bezons%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0006

   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 '%groupe%electrogene%' OR ssrubr_title like '%groupe%electrogene%' OR ssrubr_slug like '%groupe%electrogene%') AND cate_id='87' 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='95870'

12. 0.002

    SELECT ville_cp, ROUND((((acos(sin((48.9333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.21667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.753435678816 AND ville_latitude_deg<49.113164321184 AND ville_longitude_deg>1.942877276093 AND ville_longitude_deg<2.490462723907 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='groupe électrogène'

14. 0.0007

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='87'AND MATCH (wish_title,wish_desc) AGAINST ('+groupe électrogène*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '95870%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=87

16. 0.0004

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='groupe électrogène' OR ssrubr_slug='groupe-électrogène' OR (ssrubr_title like '%groupe électrogène%')) AND cate_id='87' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='groupe-electrogene' AND cate_id='87'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='95870'

19. 0.0024

    SELECT ville_cp, ROUND((((acos(sin((48.9333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.21667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.753435678816 AND ville_latitude_deg<49.113164321184 AND ville_longitude_deg>1.942877276093 AND ville_longitude_deg<2.490462723907 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0067

    SELECT ville_cp, ROUND((((acos(sin((48.9333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.21667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.483639197041 AND ville_latitude_deg<49.382960802959 AND ville_longitude_deg>1.5321822878414 AND ville_longitude_deg<2.9011577121586 HAVING distance <= 50 ORDER BY distance ASC

21. 0.1004

    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((48.9333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.21667- 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='87' AND MATCH (wish_desc) AGAINST ('(+groupe +électrogène*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (95870,95870,78800,95100,92700,78420,78500,92000,92270,92250,95110,95530,92400,78600,78360,92600,95130,95240,92500,95370,92230,95210,92300,95218,78600,95120,92200,93800,92110,78400,92800,92150,95130,95880,78110,95230,95220,93450,92390,95600,78560,78230,93400,95250,93430,78290,95580,95320,78380,95580,95480,95390,95170,78700,92210,93200,93210,78430,78100,95360,92380,95680,78170,95150,95550,95410,78750,95160,92100,92420,92430,93380,78260,78300,92410,78160,78570,78112,93120,93300,93240,75003,75016,75004,75001,75015,75010,75018,75014,75013,75011,75007,75006,75005,75116,75017,75008,75002,75009,75000,75019,75012,75020,95610,92170,95740,92310,95840,78780,95350,78620,78150,95350,78870,92130,95560,78955,78150,93500,78240,95330,92360,92190,95200,95400,95570,92240,95000,78590,78570,93310,93350,93440,92370,95840,95540,92120,95310,78140,95140,78240,95430,78220,92140,95440,95300,95570,94250,95460,92320,95000,95400,78670,78670,92220,78000,95560,95570,95500,95280,93170,78590,95560,95430,95630,78510,93230,93260,94270,93150,93700,92350,95300,94110,78630,78860,95590,92260,92330,95490,78540,93000,93100,94205,94200,78330,95500,78480,95560,95000,95720,94300,95720,78450,94160,95520,94800,78210,95760,95720,93140,94240,94230,94233,94234,94232,94231,94239,94238,94237,94236,94235,92290,78350,92340,93130,95800,95180,78450,78530,78350,95300,95650,94220,95500,78810,95570,95650,95650,95720) 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 = 72771 AND W.type_id = 1) OR (W.util_id <> 72771 AND W.type_id = 2)) AND (M.post_util_id = 72771 OR M.dest_util_id = 72771) 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=72771 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 = 111972 AND W.type_id = 1) OR (W.util_id <> 111972 AND W.type_id = 2)) AND (M.post_util_id = 111972 OR M.dest_util_id = 111972) 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=111972 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 = 111971 AND W.type_id = 1) OR (W.util_id <> 111971 AND W.type_id = 2)) AND (M.post_util_id = 111971 OR M.dest_util_id = 111971) 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=111971 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 = 132533 AND W.type_id = 1) OR (W.util_id <> 132533 AND W.type_id = 2)) AND (M.post_util_id = 132533 OR M.dest_util_id = 132533) 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=132533 AND note_visu IN (1,3,4)

30. 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 = 225643 AND W.type_id = 1) OR (W.util_id <> 225643 AND W.type_id = 2)) AND (M.post_util_id = 225643 OR M.dest_util_id = 225643) 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=225643 AND note_visu IN (1,3,4)

32. 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 = 459443 AND W.type_id = 1) OR (W.util_id <> 459443 AND W.type_id = 2)) AND (M.post_util_id = 459443 OR M.dest_util_id = 459443) 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=459443 AND note_visu IN (1,3,4)

34. 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 = 461994 AND W.type_id = 1) OR (W.util_id <> 461994 AND W.type_id = 2)) AND (M.post_util_id = 461994 OR M.dest_util_id = 461994) 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=461994 AND note_visu IN (1,3,4)

36. 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 = 473266 AND W.type_id = 1) OR (W.util_id <> 473266 AND W.type_id = 2)) AND (M.post_util_id = 473266 OR M.dest_util_id = 473266) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

37. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=473266 AND note_visu IN (1,3,4)

38. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='95870'

39. 0.002

    SELECT ville_cp, ROUND((((acos(sin((48.9333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.21667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.753435678816 AND ville_latitude_deg<49.113164321184 AND ville_longitude_deg>1.942877276093 AND ville_longitude_deg<2.490462723907 HAVING distance <= 20 ORDER BY distance ASC

40. 0.0065

    SELECT ville_cp, ROUND((((acos(sin((48.9333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.9333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.21667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.483639197041 AND ville_latitude_deg<49.382960802959 AND ville_longitude_deg>1.5321822878414 AND ville_longitude_deg<2.9011577121586 HAVING distance <= 50 ORDER BY distance ASC

41. 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 (63)

42. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (461994,132533,459443,225643,473266,111971,111972,72771)

43. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (461994,132533,459443,225643,473266,111971,111972,72771)

44. 0.0003

    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=87 AND ss.fami_id=5 ORDER BY ssrubr_order LIMIT 6,100

45. 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='groupe électrogène' OR ssrubr_slug like '%groupe électrogène%' OR MATCH (ssrubr_slug) AGAINST ('(+groupe +électrogène)')) AND sk.ssrubr_id='63' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

46. 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 = 87 AND ss.ssrubr_id <> 63 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

47. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='63' AND actu_niveau=0 ORDER BY actu_ordre DESC

48. 0

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

49. 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

50. 0.0003

    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 (87) ORDER BY ssrubr_order ASC

51. 0.0009

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

52. 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'

53. 0.0164

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

53 requetes sql en 0.1657