Location shampouineuse à 76113 Hautot-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('76' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='76113' AND ville_nom like '%hautot%sur%seine%' 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 '%shampouineuse%' OR ssrubr_title like '%shampouineuse%' OR ssrubr_slug like '%shampouineuse%') 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. 0.0003

    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='76113'

12. 0.0024

    SELECT ville_cp, ROUND((((acos(sin((49.3667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.3667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((0.983333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.186835678816 AND ville_latitude_deg<49.546564321184 AND ville_longitude_deg>0.70713465013853 AND ville_longitude_deg<1.2595313498615 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='shampouineuse; bissell; spot clean; nettoyeur tapi'

14. 0.0001

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='5' AND cate_id='110' AND ssrubr_id='747' AND wish_visu IN (1,6,10) AND wish_cp like '76113%'

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='shampouineuse; bissell; spot clean; nettoyeur tapi' OR ssrubr_slug='shampouineuse;-bissell;-spot-clean;-nettoyeur-tapi' OR (ssrubr_title like '%shampouineuse; bissell; spot clean; nettoyeur tapi%')) 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='shampouineuse' AND cate_id='110'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='76113'

19. 0.0025

    SELECT ville_cp, ROUND((((acos(sin((49.3667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.3667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((0.983333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.186835678816 AND ville_latitude_deg<49.546564321184 AND ville_longitude_deg>0.70713465013853 AND ville_longitude_deg<1.2595313498615 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0162

    SELECT ville_cp, ROUND((((acos(sin((49.3667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.3667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((0.983333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.917039197041 AND ville_latitude_deg<49.816360802959 AND ville_longitude_deg>0.29283117109487 AND ville_longitude_deg<1.6738348289051 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0099

    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((49.3667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.3667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((0.983333- 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='747' AND wish_visu IN (1,6,10) AND wish_cp IN (76113,76113,76380,76530,76530,14450,76650,76530,76113,76113,27310,76840,76120,76410,76500,76530,27310,76500,27310,76410,76530,76480,76140,76800,76410,76350,76410,76840,76500,27340,27670,27670,27310,27310,76380,76320,76480,76300,76920,76100,76000,27520,27670,27370,27370,76380,27340,76520,27370,76150,76250,27310,76320,27370,76410,76520,27310,27520,27520,76240,27370,76480,76840,27370,27370,76240,27520,76150,27370,76480,76130,76240,76520,27460,27350,76960,76160,76480,76480,76160,27310,27310,76520,76420,27340,76520,27370,76480,27370,76150,27370,76940,76160,27340,76480,27370,27370,27460,76230,27520,76520,76520,27370,27350,27310,27520,27340,76580,27520,27370,27400,27370,27310,27460,76480,27370,27370,27370,27520,76770,76160,76160,27370,27290,27400,76770,76480,27350,27400,27370,27520,27520,76160,27350,27290,76360,27110,27110,27370,27350,76520,76770,27590,27520,76230,76360,27110,76480,27370,27520,27690,27100,76160,27400,27370,27800) 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 (118123,245568,313283,358084,446645,521136,547727)

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 = 118123 AND W.type_id = 1) OR (W.util_id <> 118123 AND W.type_id = 2)) AND (M.post_util_id = 118123 OR M.dest_util_id = 118123) 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=118123 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 = 245568 AND W.type_id = 1) OR (W.util_id <> 245568 AND W.type_id = 2)) AND (M.post_util_id = 245568 OR M.dest_util_id = 245568) 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=245568 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 = 313283 AND W.type_id = 1) OR (W.util_id <> 313283 AND W.type_id = 2)) AND (M.post_util_id = 313283 OR M.dest_util_id = 313283) 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=313283 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 = 358084 AND W.type_id = 1) OR (W.util_id <> 358084 AND W.type_id = 2)) AND (M.post_util_id = 358084 OR M.dest_util_id = 358084) 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=358084 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 = 446645 AND W.type_id = 1) OR (W.util_id <> 446645 AND W.type_id = 2)) AND (M.post_util_id = 446645 OR M.dest_util_id = 446645) 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=446645 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 = 521136 AND W.type_id = 1) OR (W.util_id <> 521136 AND W.type_id = 2)) AND (M.post_util_id = 521136 OR M.dest_util_id = 521136) 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=521136 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 = 547727 AND W.type_id = 1) OR (W.util_id <> 547727 AND W.type_id = 2)) AND (M.post_util_id = 547727 OR M.dest_util_id = 547727) 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=547727 AND note_visu IN (1,3,4)

37. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='76113'

38. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((49.3667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.3667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((0.983333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>49.186835678816 AND ville_latitude_deg<49.546564321184 AND ville_longitude_deg>0.70713465013853 AND ville_longitude_deg<1.2595313498615 HAVING distance <= 20 ORDER BY distance ASC

39. 0.0165

    SELECT ville_cp, ROUND((((acos(sin((49.3667*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49.3667*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((0.983333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.917039197041 AND ville_latitude_deg<49.816360802959 AND ville_longitude_deg>0.29283117109487 AND ville_longitude_deg<1.6738348289051 HAVING distance <= 50 ORDER BY distance ASC

40. 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 (747)

41. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (118123,547727,521136,358084,313283,446645,245568)

42. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (118123,547727,521136,358084,313283,446645,245568)

43. 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='shampouineuse; bissell; spot clean; nettoyeur tapi' OR ssrubr_slug like '%shampouineuse; bissell; spot clean; nettoyeur tapi%' OR MATCH (ssrubr_slug) AGAINST ('(+shampouineuse; +bissell; +spot +clean; +nettoyeur +tapi)')) AND sk.ssrubr_id='747' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

44. 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 <> 747 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

45. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='747' AND actu_niveau=0 ORDER BY actu_ordre DESC

46. 0.0001

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

47. 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

48. 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

49. 0.001

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

50. 0.0257

    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'

51. 0.0206

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

51 requetes sql en 0.1029