Service tonte pelouse à 42570 Saint-héand

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='jardinage'

3. 0

   SELECT cate_title_slug, cate_title,cate_title_aff FROM category WHERE cate_id=38

4. 0.0001

   SELECT filtre_dptnom FROM filtredpt WHERE CONVERT(filtre_dpt USING utf8mb4) COLLATE utf8mb4_general_ci = CONVERT('42' USING utf8mb4) COLLATE utf8mb4_general_ci

5. 0.0001

   SELECT ville_nom FROM villes WHERE ville_cp='42570' AND ville_nom like '%saint%heand%' 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 '%tonte%de%pelouse%' OR ssrubr_title like '%tonte%de%pelouse%' OR ssrubr_slug like '%tonte%de%pelouse%') AND cate_id='38' 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='42570'

12. 0.0023

    SELECT ville_cp, ROUND((((acos(sin((45.5167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.5167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.36667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.336835678816 AND ville_latitude_deg<45.696564321184 AND ville_longitude_deg>4.1099777326167 AND ville_longitude_deg<4.6233622673833 HAVING distance <= 20 ORDER BY distance ASC

13. 0.0001

    SELECT keywords_id FROM ssrubr_keywords WHERE keywords_title='tonte pelouse; tonte de pelouse'

14. 0.0002

    SELECT count(wish_id) as nbwish FROM wish WHERE fami_id='3' AND cate_id='38'AND MATCH (wish_title,wish_desc) AGAINST ('+tonte pelouse; tonte de pelouse*' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp like '42570%'

15. 0.0001

    SELECT * FROM texte WHERE cate_id=38

16. 0.0002

    SELECT ssrubr_texte_haut FROM ssrubr WHERE fami_id='3' AND (ssrubr_keywords='tonte pelouse; tonte de pelouse' OR ssrubr_slug='tonte-pelouse;-tonte-de-pelouse' OR (ssrubr_title like '%tonte pelouse; tonte de pelouse%')) AND cate_id='38' ORDER BY ssrubr_id LIMIT 0,1

17. 0.0001

    SELECT ssrubr_texte_haut, ssrubr_texte_bas FROM ssrubr WHERE ssrubr_slug='tonte-de-pelouse' AND cate_id='38'

18. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='42570'

19. 0.0021

    SELECT ville_cp, ROUND((((acos(sin((45.5167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.5167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.36667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.336835678816 AND ville_latitude_deg<45.696564321184 AND ville_longitude_deg>4.1099777326167 AND ville_longitude_deg<4.6233622673833 HAVING distance <= 20 ORDER BY distance ASC

20. 0.0062

    SELECT ville_cp, ROUND((((acos(sin((45.5167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.5167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.36667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.067039197041 AND ville_latitude_deg<45.966360802959 AND ville_longitude_deg>3.7249337978001 AND ville_longitude_deg<5.0084062021999 HAVING distance <= 50 ORDER BY distance ASC

21. 0.041

    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((45.5167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.5167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.36667- 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='38' AND MATCH (wish_desc) AGAINST ('(+tonte +pelouse; +tonte +de +pelouse*)' IN BOOLEAN MODE) AND wish_visu IN (1,6,10) AND wish_cp IN (42570,42570,42580,42480,42330,42580,42140,42270,42330,42390,42140,42350,42340,42290,42140,42140,42530,42160,42330,42330,42330,42340,42230,42000,42100,42320,42650,42170,42230,42320,42160,42160,42340,42140,42400,42140,42800,42140,42210,42170,42320,42150,42140,42500,42330,69590,42800,42320,69590,42152,42140,42140,42210,42240,69590,42240,42450,42210,42700,42210,42680,69610,42131,69590,42660,42490,42210,42240,42210,42800,42420,42210,42740,69590,42380,42800,42320,69440,42740,42600,42140,69610,42660,42210,42240,42560,42800,42660,42610,42800) 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 (48794,81360,92956,93236,147060,246239,307648,339375,341441,443646,167487,537773)

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 = 48794 AND W.type_id = 1) OR (W.util_id <> 48794 AND W.type_id = 2)) AND (M.post_util_id = 48794 OR M.dest_util_id = 48794) 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=48794 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 = 81360 AND W.type_id = 1) OR (W.util_id <> 81360 AND W.type_id = 2)) AND (M.post_util_id = 81360 OR M.dest_util_id = 81360) 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=81360 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 = 92956 AND W.type_id = 1) OR (W.util_id <> 92956 AND W.type_id = 2)) AND (M.post_util_id = 92956 OR M.dest_util_id = 92956) 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=92956 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 = 93236 AND W.type_id = 1) OR (W.util_id <> 93236 AND W.type_id = 2)) AND (M.post_util_id = 93236 OR M.dest_util_id = 93236) 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=93236 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 = 147060 AND W.type_id = 1) OR (W.util_id <> 147060 AND W.type_id = 2)) AND (M.post_util_id = 147060 OR M.dest_util_id = 147060) 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=147060 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 = 246239 AND W.type_id = 1) OR (W.util_id <> 246239 AND W.type_id = 2)) AND (M.post_util_id = 246239 OR M.dest_util_id = 246239) 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=246239 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 = 307648 AND W.type_id = 1) OR (W.util_id <> 307648 AND W.type_id = 2)) AND (M.post_util_id = 307648 OR M.dest_util_id = 307648) 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=307648 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 = 339375 AND W.type_id = 1) OR (W.util_id <> 339375 AND W.type_id = 2)) AND (M.post_util_id = 339375 OR M.dest_util_id = 339375) 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=339375 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 = 341441 AND W.type_id = 1) OR (W.util_id <> 341441 AND W.type_id = 2)) AND (M.post_util_id = 341441 OR M.dest_util_id = 341441) 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=341441 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 = 443646 AND W.type_id = 1) OR (W.util_id <> 443646 AND W.type_id = 2)) AND (M.post_util_id = 443646 OR M.dest_util_id = 443646) 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=443646 AND note_visu IN (1,3,4)

43. 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 = 167487 AND W.type_id = 1) OR (W.util_id <> 167487 AND W.type_id = 2)) AND (M.post_util_id = 167487 OR M.dest_util_id = 167487) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

44. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=167487 AND note_visu IN (1,3,4)

45. 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 = 537773 AND W.type_id = 1) OR (W.util_id <> 537773 AND W.type_id = 2)) AND (M.post_util_id = 537773 OR M.dest_util_id = 537773) AND M.buy_stripe_pi_id IS NOT NULL AND M.buy_stripe_pi_id <> ''

46. 0.0001

    SELECT ROUND(AVG(note), 1) AS note_moy, COUNT(note) AS nb_avis FROM `note` WHERE dest_util_id=537773 AND note_visu IN (1,3,4)

47. 0.0001

    SELECT ville_cp, ville_latitude_deg, ville_longitude_deg FROM villes v WHERE ville_cp='42570'

48. 0.0018

    SELECT ville_cp, ROUND((((acos(sin((45.5167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.5167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.36667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.336835678816 AND ville_latitude_deg<45.696564321184 AND ville_longitude_deg>4.1099777326167 AND ville_longitude_deg<4.6233622673833 HAVING distance <= 20 ORDER BY distance ASC

49. 0.0061

    SELECT ville_cp, ROUND((((acos(sin((45.5167*pi()/180)) * sin((ville_latitude_deg*pi()/180))+cos((45.5167*pi()/180)) * cos((ville_latitude_deg*pi()/180)) * cos(((4.36667- ville_longitude_deg)* pi()/180))))*180/pi())*60*1.1515* 1.609344),2) as distance FROM villes WHERE ville_latitude_deg>45.067039197041 AND ville_latitude_deg<45.966360802959 AND ville_longitude_deg>3.7249337978001 AND ville_longitude_deg<5.0084062021999 HAVING distance <= 50 ORDER BY distance ASC

50. 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 (532,524)

51. 0.0002

    SELECT util_id FROM util_abo WHERE abo_type=4 AND abo_actif=1 AND abo_expire>SYSDATE() AND util_id IN (48794,341441,93236,167487,246239,443646,92956,307648,339375,81360,147060,537773)

52. 0.0001

    SELECT util_id, util_photo FROM util_info WHERE util_id IN (48794,341441,93236,167487,246239,443646,92956,307648,339375,81360,147060,537773)

53. 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='tonte pelouse; tonte de pelouse' OR ssrubr_slug like '%tonte pelouse; tonte de pelouse%' OR MATCH (ssrubr_slug) AGAINST ('(+tonte +pelouse; +tonte +de +pelouse)')) AND sk.ssrubr_id='524' AND keywords_visu=1 ORDER BY keywords_nb DESC, keywords_id ASC LIMIT 0,10

54. 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 = 38 AND ss.ssrubr_id <> 524 ORDER BY ss.ssrubr_order ASC, ss.ssrubr_id ASC LIMIT 10

55. 0.0001

    SELECT * FROM actu WHERE ssrubr_id='524' AND actu_niveau=0 ORDER BY actu_ordre DESC

56. 0.0001

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

57. 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

58. 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 (38) ORDER BY ssrubr_order ASC

59. 0.0016

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

60. 0.029

    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'

61. 0.0179

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

61 requetes sql en 0.1146