Service aide ménagère à 33350 Mérignas

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='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('33' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='33350' AND ville_nom like '%merignas%' 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 '%aide%menagere%' OR ssrubr_title like '%aide%menagere%' OR ssrubr_slug like '%aide%menagere%') 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. 0.0002

    SELECT ville_cp, ville_latitude_deg,ville_longitude_deg FROM villes v WHERE ville_cp='33350'

12. 0.0024

    SELECT ville_cp, ROUND((((acos(sin((44.8417*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((44.8417*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.025- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>44.661835678816 AND ville_latitude_deg<45.021564321184 AND ville_longitude_deg>-0.27866710352043 AND ville_longitude_deg<0.22866710352043 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='aide ménagère'

14. 0.0003

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='47'AND MATCH (wish_title,wish_desc) AGAINST ('+aide ménagère*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '33350%'

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='aide ménagère' OR ssrubr_slug='aide-ménagère' OR (ssrubr_title like '%aide ménagère%')) 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='aide-menagere' AND cate_id='47'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='33350'

19. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((44.8417*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((44.8417*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.025- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>44.661835678816 AND ville_latitude_deg<45.021564321184 AND ville_longitude_deg>-0.27866710352043 AND ville_longitude_deg<0.22866710352043 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0094

    SELECT ville_cp, ROUND((((acos(sin((44.8417*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((44.8417*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.025- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>44.392039197041 AND ville_latitude_deg<45.291360802959 AND ville_longitude_deg>-0.65917322732659 AND ville_longitude_deg<0.60917322732659 HAVING distance <= 50 ORDER BY distance ASC

21. 0.053

    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((44.8417*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((44.8417*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.025- 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 MATCH (wish_desc) AGAINST ('(+aide +ménagère*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (33350,33350,33350,33350,33350,33350,33350,33350,33350,24230,33350,24230,33350,33890,33350,33350,33350,33350,33330,33350,33350,24230,33330,33330,33330,33350,33350,33350,33350,24230,33420,33790,33420,33890,24230,33330,33890,33420,33890,33570,33790,33540,33570,33540,33330,24610,33330,24230,33420,24230,33420,33570,33570,33220,33790,33420,33330,33420,33790,33420,33570,33790,33570,33790,24610,33540,33220,33420,33760,33790,24230,33420,33760,33760,24610,33760,24230,33220,33220,24230,33220,33420,33420,24610,33660,33570,33500,24610,33760,33540,33220,33570,33500,33760,33760,33660,24610,33420,33540,33420,33420,33660,33790,33220,33420,33500,33220,33540,33760,33580,33220,33500,33220,24700,33760,33660,33540,33540,33660,33230,33670,33220,33420,33420,33580) 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 (41262,83349,136200,137658,161741,396102,112768,304606)

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 = 41262 AND W.type_id = 1) OR (W.util_id <> 41262 AND W.type_id = 2)) AND (M.post_util_id = 41262 OR M.dest_util_id = 41262) 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=41262 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 = 83349 AND W.type_id = 1) OR (W.util_id <> 83349 AND W.type_id = 2)) AND (M.post_util_id = 83349 OR M.dest_util_id = 83349) 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=83349 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 = 136200 AND W.type_id = 1) OR (W.util_id <> 136200 AND W.type_id = 2)) AND (M.post_util_id = 136200 OR M.dest_util_id = 136200) 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=136200 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 = 137658 AND W.type_id = 1) OR (W.util_id <> 137658 AND W.type_id = 2)) AND (M.post_util_id = 137658 OR M.dest_util_id = 137658) 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=137658 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 = 161741 AND W.type_id = 1) OR (W.util_id <> 161741 AND W.type_id = 2)) AND (M.post_util_id = 161741 OR M.dest_util_id = 161741) 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=161741 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 = 396102 AND W.type_id = 1) OR (W.util_id <> 396102 AND W.type_id = 2)) AND (M.post_util_id = 396102 OR M.dest_util_id = 396102) 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=396102 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 = 112768 AND W.type_id = 1) OR (W.util_id <> 112768 AND W.type_id = 2)) AND (M.post_util_id = 112768 OR M.dest_util_id = 112768) 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=112768 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 = 304606 AND W.type_id = 1) OR (W.util_id <> 304606 AND W.type_id = 2)) AND (M.post_util_id = 304606 OR M.dest_util_id = 304606) 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=304606 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='33350'

40. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((44.8417*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((44.8417*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.025- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>44.661835678816 AND ville_latitude_deg<45.021564321184 AND ville_longitude_deg>-0.27866710352043 AND ville_longitude_deg<0.22866710352043 HAVING distance <= 20 ORDER BY distance ASC

41. 0.0085

    SELECT ville_cp, ROUND((((acos(sin((44.8417*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((44.8417*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((-0.025- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>44.392039197041 AND ville_latitude_deg<45.291360802959 AND ville_longitude_deg>-0.65917322732659 AND ville_longitude_deg<0.60917322732659 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 (1080,937)

43. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (396102,83349,137658,41262,136200,112768,161741,304606)

44. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (396102,83349,137658,41262,136200,112768,161741,304606)

45. 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='aide ménagère' OR ssrubr_slug like '%aide ménagère%' OR MATCH (ssrubr_slug) AGAINST ('(+aide +ménagère)')) AND sk.ssrubr_id='1080' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

46. 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 = 3 AND ss.cate_id = 47 AND ss.ssrubr_id <> 1080 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

47. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='1080' AND actu_niveau=0 ORDER BY actu_ordre DESC

48. 0

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

50. 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

51. 0.0009

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

52. 0.0232

    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. 0.0197

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

53 requetes sql en 0.1271