Location nettoyeur vitres à 92170 Vanves

1. 0.0001

   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('92' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='92170' AND ville_nom like '%vanves%' 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. 0.0001

   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. 0.0002

   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='92170'

12. 0.0029

    SELECT ville_cp, ROUND((((acos(sin((48.8333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.3- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.653435678816 AND ville_latitude_deg<49.013164321184 AND ville_longitude_deg>2.0267541866782 AND ville_longitude_deg<2.5732458133218 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

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

14. 0.0007

    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 '92170%'

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='92170'

19. 0.0028

    SELECT ville_cp, ROUND((((acos(sin((48.8333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.3- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.653435678816 AND ville_latitude_deg<49.013164321184 AND ville_longitude_deg>2.0267541866782 AND ville_longitude_deg<2.5732458133218 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0087

    SELECT ville_cp, ROUND((((acos(sin((48.8333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.3- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.383639197041 AND ville_latitude_deg<49.282960802959 AND ville_longitude_deg>1.6168795760945 AND ville_longitude_deg<2.9831204239055 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0019

    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((48.8333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.3- 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 (92170,92170,92240,92120,94250,92130,92100,92220,92320,75012,75014,75010,75009,75008,75013,75007,75006,75005,75004,75003,75002,75000,75001,75015,75016,75017,75018,75019,75011,75116,75020,92140,94110,92360,92190,94270,92260,92330,94237,94236,92200,94235,94234,94230,94240,94232,94238,94239,94233,92350,94231,92150,92800,94800,92210,94200,94205,92340,92110,92300,92310,92290,93400,92400,92410,92370,94550,92250,94160,92380,92600,94220,92430,92420,93310,92500,94400,92160,78140,93170,94140,94260,91370,92270,94320,94300,94150,92700,92000,93500,94700,93100,78220,91570,93120,93300,92230,78170,91300,93230,93260,94600,91320,93450,92390,94410,94390,78800,94310,93210,93200,78350,78400,94340,78420,95870,91430,78290,78000,78380,78150,93800,93000,91430,93130,94000,94130,78150,91120,95100,94120,91550,78430,93110,93350,94290,93430,93140,78350,78530,93240,78360,78560,94170,91400,91380,91160,95880,95218,95210,91200,91160,91420,94100,94340,94210,91140,95360,95110,94460,78110,94380,94480,78500,93440,93380,93150,93700,94190,93250,94360,78870,94500,93360,78160,94430,78117,78230,95230,78750,91160,95120,95170,78600,91560,95410,95530,91400,78600,91270,95140,93330,78590,91140,95130,94450,78620,78210,78100,93340,93320,95500,91440,91260,91190,78112,93220,95240,94350,78590,94470,78330,78117,91230,95580,95580,91160,91360,95600,78280,94370,94380,91190,91360,95160,95400,95370,91210,91600,91390,94490,94880,94880,95350,95130,91940,95400,91170,95200,91330,93160,94420,93460,95500) 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 (26210,68798,122442,269803,309478,343909,377769,471981,493176,429944)

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. 0.0002

    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 = 68798 AND W.type_id = 1) OR (W.util_id <> 68798 AND W.type_id = 2)) AND (M.post_util_id = 68798 OR M.dest_util_id = 68798) 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=68798 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 = 122442 AND W.type_id = 1) OR (W.util_id <> 122442 AND W.type_id = 2)) AND (M.post_util_id = 122442 OR M.dest_util_id = 122442) 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=122442 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 = 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 <> ''

30. 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)

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 = 309478 AND W.type_id = 1) OR (W.util_id <> 309478 AND W.type_id = 2)) AND (M.post_util_id = 309478 OR M.dest_util_id = 309478) 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=309478 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 = 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 <> ''

34. 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)

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 = 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 <> ''

36. 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)

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 = 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 <> ''

38. 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)

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 = 493176 AND W.type_id = 1) OR (W.util_id <> 493176 AND W.type_id = 2)) AND (M.post_util_id = 493176 OR M.dest_util_id = 493176) 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=493176 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 = 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 <> ''

42. 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)

43. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='92170'

44. 0.0023

    SELECT ville_cp, ROUND((((acos(sin((48.8333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.3- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.653435678816 AND ville_latitude_deg<49.013164321184 AND ville_longitude_deg>2.0267541866782 AND ville_longitude_deg<2.5732458133218 HAVING distance <= 20 ORDER BY distance ASC

45. 0.0061

    SELECT ville_cp, ROUND((((acos(sin((48.8333*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((48.8333*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.3- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.383639197041 AND ville_latitude_deg<49.282960802959 AND ville_longitude_deg>1.6168795760945 AND ville_longitude_deg<2.9831204239055 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 (1017)

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 (377769,269803,122442,471981,429944,343909,309478,493176,68798,26210)

48. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (377769,269803,122442,471981,429944,343909,309478,493176,68798,26210)

49. 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

50. 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

51. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='1017' 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='5' AND cate_cate_id IS NULL ORDER BY cate_order ASC

54. 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

55. 0.0011

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

56. 0.0237

    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. 0.0185

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

57 requetes sql en 0.0748