Service aide déménageur à 77165 Saint-soupplets

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='demenagement'

3. 0.0001

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=42

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('77' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='77165' AND ville_nom like '%saint%soupplets%' 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 '%aide%demenageur%' OR ssrubr_title like '%aide%demenageur%' OR ssrubr_slug like '%aide%demenageur%') AND cate_id='42' 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='77165'

12. 0.0022

    SELECT ville_cp, ROUND((((acos(sin((49*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.78333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.820135678816 AND ville_latitude_deg<49.179864321184 AND ville_longitude_deg>2.509170802952 AND ville_longitude_deg<3.057489197048 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='déménageur; aide demenageur; demenagement; déménag'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='42'AND MATCH (wish_title,wish_desc) AGAINST ('+déménageur; aide demenageur; demenagement; déménag*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '77165%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=42

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='déménageur; aide demenageur; demenagement; déménag' OR ssrubr_slug='déménageur;-aide-demenageur;-demenagement;-déménag' OR (ssrubr_title like '%déménageur; aide demenageur; demenagement; déménag%')) AND cate_id='42' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='aide-demenageur' AND cate_id='42'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='77165'

19. 0.0023

    SELECT ville_cp, ROUND((((acos(sin((49*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.78333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.820135678816 AND ville_latitude_deg<49.179864321184 AND ville_longitude_deg>2.509170802952 AND ville_longitude_deg<3.057489197048 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0143

    SELECT ville_cp, ROUND((((acos(sin((49*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.78333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.550339197041 AND ville_latitude_deg<49.449660802959 AND ville_longitude_deg>2.0979260970883 AND ville_longitude_deg<3.4687339029117 HAVING distance <= 50 ORDER BY distance ASC

21. 0.0298

    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*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.78333- 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='42' AND MATCH (wish_desc) AGAINST ('(+déménageur; +aide +demenageur; +demenagement; +déménag*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (77165,77165,77165,77165,77410,77165,77410,77165,77230,77122,77230,77124,77230,77410,77230,77450,77230,77124,77410,77410,77230,77165,77165,77410,77178,77124,77910,77178,77450,77139,77124,77100,77410,77410,77290,77910,77230,77230,77230,77410,77450,60330,77100,77450,77230,77139,77410,77910,60330,60440,77450,60330,60330,77700,77100,77450,60440,77470,77139,77230,77450,77280,77400,77910,77139,77290,77700,77144,60950,77860,77230,77470,77410,77450,77400,77990,77400,60440,77860,77440,77470,77270,77860,77470,77440,60950,60440,77400,77144,77700,77990,77230,77181,77400,77580,77580,77470,93290,77400,60950,77580,77139,77470,77600,60620,77580,77400,77700,77600,60620,77177,77440,77580,77580,77440,77181,93470,77470,60620,95380,95470,77440,93410,77360,77600,77600,95380,77660,60440,77580,77580,77600,60620,95470,60128,77440,77440,77660,93420,60128,77500,77700,77600,60300,95380,60440,60620,77200,93370,93190,93390,77440,77440,95700,60440,60620,77145,93270,60300,60300,77186) AND type_id=1 GROUP BY wish_id

22. 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 = 117262 AND W.type_id = 1) OR (W.util_id <> 117262 AND W.type_id = 2)) AND (M.post_util_id = 117262 OR M.dest_util_id = 117262) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

23. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=117262 AND note_visu IN (1,3,4)

24. 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 = 181020 AND W.type_id = 1) OR (W.util_id <> 181020 AND W.type_id = 2)) AND (M.post_util_id = 181020 OR M.dest_util_id = 181020) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

25. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=181020 AND note_visu IN (1,3,4)

26. 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 = 278896 AND W.type_id = 1) OR (W.util_id <> 278896 AND W.type_id = 2)) AND (M.post_util_id = 278896 OR M.dest_util_id = 278896) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

27. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=278896 AND note_visu IN (1,3,4)

28. 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 = 156664 AND W.type_id = 1) OR (W.util_id <> 156664 AND W.type_id = 2)) AND (M.post_util_id = 156664 OR M.dest_util_id = 156664) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

29. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=156664 AND note_visu IN (1,3,4)

30. 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 = 368418 AND W.type_id = 1) OR (W.util_id <> 368418 AND W.type_id = 2)) AND (M.post_util_id = 368418 OR M.dest_util_id = 368418) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

31. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=368418 AND note_visu IN (1,3,4)

32. 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 = 374094 AND W.type_id = 1) OR (W.util_id <> 374094 AND W.type_id = 2)) AND (M.post_util_id = 374094 OR M.dest_util_id = 374094) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

33. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=374094 AND note_visu IN (1,3,4)

34. 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 = 381247 AND W.type_id = 1) OR (W.util_id <> 381247 AND W.type_id = 2)) AND (M.post_util_id = 381247 OR M.dest_util_id = 381247) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

35. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=381247 AND note_visu IN (1,3,4)

36. 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 = 524235 AND W.type_id = 1) OR (W.util_id <> 524235 AND W.type_id = 2)) AND (M.post_util_id = 524235 OR M.dest_util_id = 524235) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

37. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=524235 AND note_visu IN (1,3,4)

38. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='77165'

39. 0.0026

    SELECT ville_cp, ROUND((((acos(sin((49*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.78333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.820135678816 AND ville_latitude_deg<49.179864321184 AND ville_longitude_deg>2.509170802952 AND ville_longitude_deg<3.057489197048 HAVING distance <= 20 ORDER BY distance ASC

40. 0.0137

    SELECT ville_cp, ROUND((((acos(sin((49*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((49*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((2.78333- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>48.550339197041 AND ville_latitude_deg<49.449660802959 AND ville_longitude_deg>2.0979260970883 AND ville_longitude_deg<3.4687339029117 HAVING distance <= 50 ORDER BY distance ASC

41. 0.0002

    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 (996,947)

42. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (381247,156664,278896,374094,117262,368418,524235,181020)

43. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (381247,156664,278896,374094,117262,368418,524235,181020)

44. 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='déménageur; aide demenageur; demenagement; déménag' OR ssrubr_slug like '%déménageur; aide demenageur; demenagement; déménag%' OR MATCH (ssrubr_slug) AGAINST ('(+déménageur; +aide +demenageur; +demenagement; +déménag)')) AND sk.ssrubr_id='996' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

45. 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 = 42 AND ss.ssrubr_id <> 996 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

46. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='996' AND actu_niveau=0 ORDER BY actu_ordre DESC

47. 0

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

48. 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

49. 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 (42) ORDER BY ssrubr_order ASC

50. 0.0011

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

51. 0.0254

    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'

52. 0.0176

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

52 requetes sql en 0.1154