Service nettoyer moquette à 94230 Cachan

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='3' AND cate_title_slug='menage-repassage'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=47

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='94230' AND ville_nom like '%cachan%' 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. 0.0001

   SELECT ssrubr_id, ssrubr_keywords, ssrubr_title, ssrubr_slug, ssrubr_mail, ssrubr_photo FROM ssrubr WHERE (ssrubr_keywords like '%nettoyage%moquette%' OR ssrubr_title like '%nettoyage%moquette%' OR ssrubr_slug like '%nettoyage%moquette%') AND cate_id='47' 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='94230'

12. 0.0019

    SELECT ville_cp, ROUND((((acos(sin((48.7833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.33333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.603435678816 AND ville_latitude_deg<48.963164321184 AND ville_longitude_deg>2.0603565120265 AND ville_longitude_deg<2.6063034879735 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='nettoyage moquette'

14. 0.0003

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='47' AND ssrubr_id='1211' AND wish_visu IN (1,6,10) AND wish_cp like '94230%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=47

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='nettoyage moquette' OR ssrubr_slug='nettoyage-moquette' OR (ssrubr_title like '%nettoyage moquette%')) AND cate_id='47' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='nettoyage-moquette' AND cate_id='47'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='94230'

19. 0.0021

    SELECT ville_cp, ROUND((((acos(sin((48.7833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.33333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.603435678816 AND ville_latitude_deg<48.963164321184 AND ville_longitude_deg>2.0603565120265 AND ville_longitude_deg<2.6063034879735 HAVING distance <= 20 ORDER BY distance ASC

20. 0.006

    SELECT ville_cp, ROUND((((acos(sin((48.7833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.33333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.333639197041 AND ville_latitude_deg<49.232960802959 AND ville_longitude_deg>1.650890395336 AND ville_longitude_deg<3.015769604664 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0012

    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((48.7833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.33333- 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='3' AND cate_id='47' AND ssrubr_id='1211' AND wish_visu IN (1,6,10) AND wish_cp IN (94230,94240,94238,94237,94236,94234,94233,94232,94231,94230,94239,94235,92340,94110,94550,94800,92220,92260,92330,94250,94150,94260,92120,94320,92320,92240,92160,94270,94400,92350,92290,94200,92140,94205,91320,92170,94390,91370,92130,94310,94140,94600,91300,94220,92360,92190,94700,91550,92100,94160,94290,75015,75004,75000,75008,75016,75017,75007,75006,75019,75005,75014,75020,75116,75001,75002,75012,75018,75011,75010,75013,75003,75009,91200,91420,91570,91160,91380,91120,94480,94000,94410,92370,91430,94190,94300,94340,92310,94460,91160,92210,93170,91270,91140,78140,94380,91430,91560,92410,91260,92150,93100,92800,93310,92200,91160,94130,94450,94210,78350,78220,94100,94340,91230,91210,92380,92430,92420,91360,93400,91600,91360,91390,92110,94120,93230,93260,91140,91400,91170,91160,92300,94430,93500,94500,94470,92400,94170,91330,92250,93110,91400,94360,92600,94380,78350,94370,78000,78530,92500,93130,91700,91350,93300,93120,91800,91440,78170,93000,92270,91620,94880,94490,94880,78150,91130,91000,92700,92000,93140,78117,93360,93330,91190,94440,93250,91620,91940,91700,93450,92390,93200,93210,94350,78150,94440,91240,91700,92230,91310,91450,78290,78380,91310,91310,78400,91860,94420,91190,78800,93350,91940,78117,91460,94510,78430,93220,94520,94520,91800,91190,91940,78420,91220,91220,93160,93800,94440,93340,93320,93150,95870,93700,91000,91090,91070,93240,91080,91450,78560,93460,93430,91310,93440,95100,91480,78210,78280,78870,77170,77340,78360) 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 (306270,336518,343909,405800,407679,379132,65929,485929,489747,503451)

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 = 306270 AND W.type_id = 1) OR (W.util_id <> 306270 AND W.type_id = 2)) AND (M.post_util_id = 306270 OR M.dest_util_id = 306270) 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=306270 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 = 336518 AND W.type_id = 1) OR (W.util_id <> 336518 AND W.type_id = 2)) AND (M.post_util_id = 336518 OR M.dest_util_id = 336518) 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=336518 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 = 405800 AND W.type_id = 1) OR (W.util_id <> 405800 AND W.type_id = 2)) AND (M.post_util_id = 405800 OR M.dest_util_id = 405800) 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=405800 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 = 407679 AND W.type_id = 1) OR (W.util_id <> 407679 AND W.type_id = 2)) AND (M.post_util_id = 407679 OR M.dest_util_id = 407679) 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=407679 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 = 379132 AND W.type_id = 1) OR (W.util_id <> 379132 AND W.type_id = 2)) AND (M.post_util_id = 379132 OR M.dest_util_id = 379132) 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=379132 AND note_visu IN (1,3,4)

35. 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 = 65929 AND W.type_id = 1) OR (W.util_id <> 65929 AND W.type_id = 2)) AND (M.post_util_id = 65929 OR M.dest_util_id = 65929) 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=65929 AND note_visu IN (1,3,4)

37. 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 = 485929 AND W.type_id = 1) OR (W.util_id <> 485929 AND W.type_id = 2)) AND (M.post_util_id = 485929 OR M.dest_util_id = 485929) 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=485929 AND note_visu IN (1,3,4)

39. 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 = 489747 AND W.type_id = 1) OR (W.util_id <> 489747 AND W.type_id = 2)) AND (M.post_util_id = 489747 OR M.dest_util_id = 489747) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

40. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=489747 AND note_visu IN (1,3,4)

41. 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 = 503451 AND W.type_id = 1) OR (W.util_id <> 503451 AND W.type_id = 2)) AND (M.post_util_id = 503451 OR M.dest_util_id = 503451) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

42. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=503451 AND note_visu IN (1,3,4)

43. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='94230'

44. 0.002

    SELECT ville_cp, ROUND((((acos(sin((48.7833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.33333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.603435678816 AND ville_latitude_deg<48.963164321184 AND ville_longitude_deg>2.0603565120265 AND ville_longitude_deg<2.6063034879735 HAVING distance <= 20 ORDER BY distance ASC

45. 0.0062

    SELECT ville_cp, ROUND((((acos(sin((48.7833*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.7833*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.33333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.333639197041 AND ville_latitude_deg<49.232960802959 AND ville_longitude_deg>1.650890395336 AND ville_longitude_deg<3.015769604664 HAVING distance <= 50 ORDER BY distance ASC

46. 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 (1211)

47. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (489747,485929,379132,407679,405800,65929,343909,306270,336518,503451)

48. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (489747,485929,379132,407679,405800,65929,343909,306270,336518,503451)

49. 0.0001

    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='nettoyage moquette' OR ssrubr_slug like '%nettoyage moquette%' OR MATCH (ssrubr_slug) AGAINST ('(+nettoyage +moquette)')) AND sk.ssrubr_id='1211' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

50. 0.0001

    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 = 3 AND ss.cate_id = 47 AND ss.ssrubr_id <> 1211 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

51. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='1211' AND actu_niveau=0 ORDER BY actu_ordre DESC

52. 0

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

53. 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='3' AND cate_cate_id IS NULL ORDER BY cate_order ASC

54. 0.0001

    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 (47) ORDER BY ssrubr_order ASC

55. 0.0009

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

56. 0.0241

    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'

57. 0.0178

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

57 requetes sql en 0.0681