Location nettoyeur vitres à 94480 Ablon-sur-seine

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. 0.0001

   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='94480' AND ville_nom like '%ablon%sur%seine%' ORDER BY ville_population_2012 DESC LIMIT 0,1

6. 0.0007

   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 '%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. 0.0002

   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='94480'

12. 0.0031

    SELECT ville_cp, ROUND((((acos(sin((48.7167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.41667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.536835678816 AND ville_latitude_deg<48.896564321184 AND ville_longitude_deg>2.144058085411 AND ville_longitude_deg<2.689281914589 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

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

14. 0.0002

    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 '94480%'

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='94480'

19. 0.0044

    SELECT ville_cp, ROUND((((acos(sin((48.7167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.41667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.536835678816 AND ville_latitude_deg<48.896564321184 AND ville_longitude_deg>2.144058085411 AND ville_longitude_deg<2.689281914589 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0149

    SELECT ville_cp, ROUND((((acos(sin((48.7167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.41667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.267039197041 AND ville_latitude_deg<49.166360802959 AND ville_longitude_deg>1.7351343365919 AND ville_longitude_deg<3.0982056634081 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0051

    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((48.7167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.41667- 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 (94480,94480,91200,94290,91270,91560,94190,91230,91550,91210,94390,94310,91260,94460,94450,94600,91170,94320,91330,94150,91420,91320,91800,94550,94380,91390,91600,91000,91130,94400,91450,91350,91860,94260,94470,94000,91360,94440,91380,91160,91360,94140,92160,91800,94700,91000,91090,94236,94234,94233,94238,94239,94237,94231,94232,94235,94230,94240,92340,94440,91300,94800,94520,94520,91450,91700,94370,94380,91480,94440,94100,94210,94340,94110,91250,91700,94220,91160,91080,91160,91700,91480,94205,94200,91070,94410,91370,91160,94340,94270,94430,91250,91120,77170,92330,94880,94490,94880,92260,92290,77380,91140,92220,91240,91280,94250,94160,91090,92350,91620,92120,94500,91220,91220,92320,77127,91310,94130,91100,91140,92240,94510,91250,92140,91310,91310,77150,91430,94300,94360,91100,91570,77170,91620,92170,94120,92130,94420,77150,91430,94170,94350,91460,92360,92190,91310,77340,93170,91540,91540,91540,93100,75001,75016,75116,75007,75008,75014,75005,75012,75011,75010,75017,75018,75019,75009,75015,75000,75002,75013,75003,75004,75006,75020,91810,93330,91400,93110,77166,77550,91830,91250,92100,91180,93360,91630,77173,92370,77184,91400,91440,93160,77176,91290,93310,93230,93260,91540,91940,77166,91630,93130,91710,77330,78350,91940,91290,92310,78140,77680,93250,77185,77550,93460,91630,77420) 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 (26210,103573,269803,117719,343909,377769,471981,429944)

23. 0.0003

    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. 0.0002

    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 = 103573 AND W.type_id = 1) OR (W.util_id <> 103573 AND W.type_id = 2)) AND (M.post_util_id = 103573 OR M.dest_util_id = 103573) 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=103573 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 = 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 <> ''

28. 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)

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 = 117719 AND W.type_id = 1) OR (W.util_id <> 117719 AND W.type_id = 2)) AND (M.post_util_id = 117719 OR M.dest_util_id = 117719) 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=117719 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 = 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 <> ''

32. 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)

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 = 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 <> ''

34. 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)

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 = 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 <> ''

36. 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)

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 = 429944 AND W.type_id = 1) OR (W.util_id <> 429944 AND W.type_id = 2)) AND (M.post_util_id = 429944 OR M.dest_util_id = 429944) 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=429944 AND note_visu IN (1,3,4)

39. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='94480'

40. 0.0094

    SELECT ville_cp, ROUND((((acos(sin((48.7167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.41667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.536835678816 AND ville_latitude_deg<48.896564321184 AND ville_longitude_deg>2.144058085411 AND ville_longitude_deg<2.689281914589 HAVING distance <= 20 ORDER BY distance ASC

41. 0.0157

    SELECT ville_cp, ROUND((((acos(sin((48.7167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.41667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.267039197041 AND ville_latitude_deg<49.166360802959 AND ville_longitude_deg>1.7351343365919 AND ville_longitude_deg<3.0982056634081 HAVING distance <= 50 ORDER BY distance ASC

42. 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)

43. 0.0003

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (343909,26210,471981,103573,117719,377769,269803,429944)

44. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (343909,26210,471981,103573,117719,377769,269803,429944)

45. 0.0003

    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

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

47. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='1017' 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. 0.0002

    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 (110) ORDER BY ssrubr_order ASC

51. 0.0017

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

52. 0.0456

    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. 0.0342

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

53 requetes sql en 0.1418