Location nettoyeur vitres à 94470 Boissy-saint-léger

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-nettoyage'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=110

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('94' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='94470' AND ville_nom like '%boissy%saint%leger%' 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 '%nettoyeur%vitres%' OR ssrubr_title like '%nettoyeur%vitres%' OR ssrubr_slug like '%nettoyeur%vitres%') AND cate_id='110' 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='94470'

12. 0.0021

    SELECT ville_cp, ROUND((((acos(sin((48.75*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.75*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.51667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.570135678816 AND ville_latitude_deg<48.929864321184 AND ville_longitude_deg>2.2438774646036 AND ville_longitude_deg<2.7894625353964 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='nettoyeur vitre; nettoyeur vitres'

14. 0.0006

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='110' AND ssrubr_id='1017' AND wish_visu IN (1,6,10) AND wish_cp like '94470%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=110

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='5' AND (ssrubr_keywords='nettoyeur vitre; nettoyeur vitres' OR ssrubr_slug='nettoyeur-vitre;-nettoyeur-vitres' OR (ssrubr_title like '%nettoyeur vitre; nettoyeur vitres%')) AND cate_id='110' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='nettoyeur-vitres' AND cate_id='110'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='94470'

19. 0.002

    SELECT ville_cp, ROUND((((acos(sin((48.75*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.75*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.51667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.570135678816 AND ville_latitude_deg<48.929864321184 AND ville_longitude_deg>2.2438774646036 AND ville_longitude_deg<2.7894625353964 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0058

    SELECT ville_cp, ROUND((((acos(sin((48.75*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.75*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.51667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.300339197041 AND ville_latitude_deg<49.199660802959 AND ville_longitude_deg>1.8346827806797 AND ville_longitude_deg<3.1986572193203 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0014

    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((48.75*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.75*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.51667- 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='110' AND ssrubr_id='1017' AND wish_visu IN (1,6,10) AND wish_cp IN (94470,94470,94370,94380,94450,94380,94440,94460,94440,91330,94880,94490,94880,94440,94000,94190,94430,94100,91800,94210,94340,94520,94520,91560,77170,94510,91230,91860,94500,91800,94600,94290,77150,94480,94700,94340,94420,77340,94310,94390,94410,91480,77150,91270,94140,94360,94400,91200,91480,94130,94350,94320,77380,94220,77184,77170,91210,77330,93330,94170,77680,94120,77173,91550,93160,94160,77185,91450,94150,94205,94200,91260,94800,94550,94300,77420,93360,91250,77127,93110,94270,77166,91130,91000,91170,91450,93460,91320,77166,91090,91000,94239,94234,94238,94237,94240,94235,94233,94232,94236,94230,94231,77186,93100,77090,77183,94110,77135,91420,94260,77200,91350,93220,91280,93250,93170,92340,91250,93130,91600,91390,94250,92160,77164,77220,77500,93230,77550,93260,77360,77170,91360,92120,77600,77111,93320,93340,91250,92220,91380,91160,91100,91700,93140,93370,93310,77177,91080,91300,91360,93000,77600,77600,92260,92330,77220,92240,75017,75005,75016,75015,75014,75013,75012,75006,75010,75004,75007,75009,75008,75003,75011,75001,75000,75002,75116,75020,75019,75018,91070,77400,92320,77550,91090,91370,92170,77111,92290,77220,77550,77390,77400,93390,91700,92350,93190,93500,77600,77176,92140,77220,91160,91100,77181,93470,77400,77550,91700,77600,91160,77400,77220,92130,91160,91120,77181) 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 (26210,269803,343909,377769,410842,471981)

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 = 26210 AND W.type_id = 1) OR (W.util_id <> 26210 AND W.type_id = 2)) AND (M.post_util_id = 26210 OR M.dest_util_id = 26210) 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=26210 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 = 269803 AND W.type_id = 1) OR (W.util_id <> 269803 AND W.type_id = 2)) AND (M.post_util_id = 269803 OR M.dest_util_id = 269803) 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=269803 AND note_visu IN (1,3,4)

27. 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 = 343909 AND W.type_id = 1) OR (W.util_id <> 343909 AND W.type_id = 2)) AND (M.post_util_id = 343909 OR M.dest_util_id = 343909) 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=343909 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 = 377769 AND W.type_id = 1) OR (W.util_id <> 377769 AND W.type_id = 2)) AND (M.post_util_id = 377769 OR M.dest_util_id = 377769) 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=377769 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 = 410842 AND W.type_id = 1) OR (W.util_id <> 410842 AND W.type_id = 2)) AND (M.post_util_id = 410842 OR M.dest_util_id = 410842) 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=410842 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 = 471981 AND W.type_id = 1) OR (W.util_id <> 471981 AND W.type_id = 2)) AND (M.post_util_id = 471981 OR M.dest_util_id = 471981) 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=471981 AND note_visu IN (1,3,4)

35. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='94470'

36. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((48.75*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.75*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.51667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.570135678816 AND ville_latitude_deg<48.929864321184 AND ville_longitude_deg>2.2438774646036 AND ville_longitude_deg<2.7894625353964 HAVING distance <= 20 ORDER BY distance ASC

37. 0.0072

    SELECT ville_cp, ROUND((((acos(sin((48.75*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.75*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.51667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.300339197041 AND ville_latitude_deg<49.199660802959 AND ville_longitude_deg>1.8346827806797 AND ville_longitude_deg<3.1986572193203 HAVING distance <= 50 ORDER BY distance ASC

38. 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 (1017)

39. 0.0003

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (343909,471981,26210,377769,269803,410842)

40. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (343909,471981,26210,377769,269803,410842)

41. 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='nettoyeur vitre; nettoyeur vitres' OR ssrubr_slug like '%nettoyeur vitre; nettoyeur vitres%' OR MATCH (ssrubr_slug) AGAINST ('(+nettoyeur +vitre; +nettoyeur +vitres)')) AND sk.ssrubr_id='1017' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

42. 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 = 110 AND ss.ssrubr_id <> 1017 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

43. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='1017' AND actu_niveau=0 ORDER BY actu_ordre DESC

44. 0

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

45. 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

46. 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 (110) ORDER BY ssrubr_order ASC

47. 0.0011

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

48. 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'

49. 0.024

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

49 requetes sql en 0.0728