Location détecteur métaux à 94340 Saint-maur-des-fossés

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

   SELECT filtre_dptnom FROM filtredpt WHERE filtre_dpt='94'

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='94340' AND ville_nom like '%saint%maur%des%fosses%' 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. 0.0015

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%detecteur%' OR ssrubr_title like '%detecteur%' OR ssrubr_slug like '%detecteur%') 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. 0.0002

    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='94340'

12. 0.0024

    SELECT ville_cp, ROUND((((acos(sin((48.8*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.5- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.620135678816 AND ville_latitude_deg<48.979864321184 AND ville_longitude_deg>2.2269356388795 AND ville_longitude_deg<2.7730643611205 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='détecteur'

14. 0.0005

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='87'AND MATCH (wish_title,wish_desc) AGAINST ('+détecteur*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '94340%'

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='détecteur' OR ssrubr_slug='détecteur' OR (ssrubr_title like '%détecteur%')) 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='detecteur' AND cate_id='87'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='94340'

19. 0.0028

    SELECT ville_cp, ROUND((((acos(sin((48.8*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.5- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.620135678816 AND ville_latitude_deg<48.979864321184 AND ville_longitude_deg>2.2269356388795 AND ville_longitude_deg<2.7730643611205 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0088

    SELECT ville_cp, ROUND((((acos(sin((48.8*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.5- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.350339197041 AND ville_latitude_deg<49.249660802959 AND ville_longitude_deg>1.8173332105093 AND ville_longitude_deg<3.1826667894907 HAVING distance <= 50 ORDER BY distance ASC

21. 0.1205

    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((48.8*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.5- 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 ('(+détecteur*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (94340,94210,94340,94100,94430,94500,94000,94340,94410,94130,94380,94360,94880,94880,94490,94380,94370,94700,94350,94420,94170,94120,94470,94460,93330,94140,94510,94220,94160,94600,93160,94300,93360,93110,94450,94400,77340,94190,94440,77184,94205,94200,93460,93100,77420,94390,94310,93250,91330,77185,94320,93130,93220,94440,93170,94290,94800,94270,91560,93260,93230,94440,77680,94480,77170,91800,93340,93320,77186,77150,93140,94550,94520,93000,91230,94520,77500,93310,91200,93370,94110,77150,77200,94150,94232,94231,94237,94250,94230,94240,94235,94233,94239,94234,94236,94238,91270,77183,77090,77330,91860,75017,75000,75018,75001,75008,75019,75020,75116,75004,75010,75016,75002,75015,75014,75013,75012,75011,75009,91800,75007,75006,75005,75003,77360,93500,77177,91550,93390,93190,92120,92340,91480,91320,77181,93470,91210,77600,94260,92220,77135,92240,93270,91480,92170,77164,93150,93700,77400,77173,93120,93300,77181,91260,77170,93410,77380,77600,77600,92160,92320,92260,92330,93350,77400,77400,93400,91420,93600,77410,91450,92140,77270,91170,77600,92130,92350,92290,77400,91300,93440,91130,91000,77166,91370,93200,93210,93290,77400,92110,91160,91380,91390,91600,77600,91250,77220,92100,77600,93420,91450,93240,91350,77166,91000,77127,91090,92190,92360,95500,92390,93450,91360,92300,77400,92200,77400,95140,77144,92600) 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 = 156721 AND W.type_id = 1) OR (W.util_id <> 156721 AND W.type_id = 2)) AND (M.post_util_id = 156721 OR M.dest_util_id = 156721) 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=156721 AND note_visu IN (1,3,4)

24. 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 = 214867 AND W.type_id = 1) OR (W.util_id <> 214867 AND W.type_id = 2)) AND (M.post_util_id = 214867 OR M.dest_util_id = 214867) 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=214867 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 = 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 <> ''

27. 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)

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 = 246379 AND W.type_id = 1) OR (W.util_id <> 246379 AND W.type_id = 2)) AND (M.post_util_id = 246379 OR M.dest_util_id = 246379) 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=246379 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 = 286892 AND W.type_id = 1) OR (W.util_id <> 286892 AND W.type_id = 2)) AND (M.post_util_id = 286892 OR M.dest_util_id = 286892) 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=286892 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 = 262874 AND W.type_id = 1) OR (W.util_id <> 262874 AND W.type_id = 2)) AND (M.post_util_id = 262874 OR M.dest_util_id = 262874) 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=262874 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 = 358660 AND W.type_id = 1) OR (W.util_id <> 358660 AND W.type_id = 2)) AND (M.post_util_id = 358660 OR M.dest_util_id = 358660) 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=358660 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 = 539359 AND W.type_id = 1) OR (W.util_id <> 539359 AND W.type_id = 2)) AND (M.post_util_id = 539359 OR M.dest_util_id = 539359) 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=539359 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='94340'

39. 0.002

    SELECT ville_cp, ROUND((((acos(sin((48.8*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.5- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.620135678816 AND ville_latitude_deg<48.979864321184 AND ville_longitude_deg>2.2269356388795 AND ville_longitude_deg<2.7730643611205 HAVING distance <= 20 ORDER BY distance ASC

40. 0.0061

    SELECT ville_cp, ROUND((((acos(sin((48.8*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.5- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.350339197041 AND ville_latitude_deg<49.249660802959 AND ville_longitude_deg>1.8173332105093 AND ville_longitude_deg<3.1826667894907 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 (771,1157,1149)

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 (286892,132533,262874,214867,539359,156721,246379,358660)

43. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (286892,132533,262874,214867,539359,156721,246379,358660)

44. 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=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='détecteur' OR ssrubr_slug like '%détecteur%' OR MATCH (ssrubr_slug) AGAINST ('(+détecteur)')) AND sk.ssrubr_id='771' 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 <> 771 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

47. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='771' AND actu_niveau=0 ORDER BY actu_ordre DESC

48. 0.0001

    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. 0.0004

    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. 0.0016

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

52. 0.0266

    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. 0.0179

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

53 requetes sql en 0.1969